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Title:
Evaluation of geophysical and thermal methods for detecting submarine groundwater discharge (SGD) in the Suwannee River estuary, Florida
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Book
Language:
English
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Weiss, Matthew
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University of South Florida
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Tampa, Fla
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Subjects / Keywords:
SGD
Streaming resistivity
Radon 222
Methane
Suwannee
Dissertations, Academic -- Geology -- Masters -- USF
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bibliography   ( marcgt )
theses   ( marcgt )
non-fiction   ( marcgt )

Notes

Abstract:
ABSTRACT: Submarine groundwater discharge (SGD) represents a significant portion of the total discharge from coastal aquifers through diffuse seepage and point source springs, but can be difficult to locate. SGD is important as it can be a source of nutrients to estuaries and other coastal ecosystems. In an effort to evaluate geophysical and thermal methods for detecting SGD on the Florida Gulf coast, a suite of water-borne surveys were run in conjunction with aerial thermal imagery over the lower Suwannee River and estuary in March and September 2005. Thermal imagery exploits temperature differences between discharging groundwater and surface water. Thermal images were collected in March (dry season), at the end of winter, and at night to maximize the differences between warm groundwater and colder surface water. Generally pore waters in zones of concentrated SGD should be fresher, and hence more resistive than "background" values. Marine streaming resistivity data can detect pore^ water resistivity variations and were collected alongside continuous 222Rn and CH4 sampling from surface waters. Naturally occurring tracers, 222Rn and CH4, are used as the "standard" against which resistivity and thermal images are compared. Based on the expected properties of discharging groundwater, we hypothesize that in zones of elected tracer concentrations, increased thermal image temperatures and increased terrain resistivities will be observed. The data set as a whole supports this hypothesis. However, regional-scale correlations are clearly and significantly influenced by factors other than SGD including thermal-image noise, the presence of the fresh/salt water interface, and a large regional tracer gradient generated by a first-order spring. At local scales (tens to hundreds of meters) there are no significant correlations between thermal image temperature and tracer concentrations, due at least in part to flight-line edge effects that dominate the thermal imagery. After cor recting for regional trends,significant correlations between tracer concentration and log resistivity exist only in a subset of the data that lies offshore. Because neither thermal imagery nor streaming resistivity data consistently support the hypotheses, this study suggests that neither method by itself is reliable for detecting SGD in this area
Thesis:
Thesis (M.A.)--University of South Florida, 2006.
Bibliography:
Includes bibliographical references.
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System requirements: World Wide Web browser and PDF reader.
System Details:
Mode of access: World Wide Web.
Statement of Responsibility:
by Matthew Weiss.
General Note:
Title from PDF of title page.
General Note:
Document formatted into pages; contains 117 pages.

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oclc - 154683710
usfldc doi - E14-SFE0001583
usfldc handle - e14.1583
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ABSTRACT: Submarine groundwater discharge (SGD) represents a significant portion of the total discharge from coastal aquifers through diffuse seepage and point source springs, but can be difficult to locate. SGD is important as it can be a source of nutrients to estuaries and other coastal ecosystems. In an effort to evaluate geophysical and thermal methods for detecting SGD on the Florida Gulf coast, a suite of water-borne surveys were run in conjunction with aerial thermal imagery over the lower Suwannee River and estuary in March and September 2005. Thermal imagery exploits temperature differences between discharging groundwater and surface water. Thermal images were collected in March (dry season), at the end of winter, and at night to maximize the differences between warm groundwater and colder surface water. Generally pore waters in zones of concentrated SGD should be fresher, and hence more resistive than "background" values. Marine streaming resistivity data can detect pore^ water resistivity variations and were collected alongside continuous 222Rn and CH4 sampling from surface waters. Naturally occurring tracers, 222Rn and CH4, are used as the "standard" against which resistivity and thermal images are compared. Based on the expected properties of discharging groundwater, we hypothesize that in zones of elected tracer concentrations, increased thermal image temperatures and increased terrain resistivities will be observed. The data set as a whole supports this hypothesis. However, regional-scale correlations are clearly and significantly influenced by factors other than SGD including thermal-image noise, the presence of the fresh/salt water interface, and a large regional tracer gradient generated by a first-order spring. At local scales (tens to hundreds of meters) there are no significant correlations between thermal image temperature and tracer concentrations, due at least in part to flight-line edge effects that dominate the thermal imagery. After cor recting for regional trends,significant correlations between tracer concentration and log resistivity exist only in a subset of the data that lies offshore. Because neither thermal imagery nor streaming resistivity data consistently support the hypotheses, this study suggests that neither method by itself is reliable for detecting SGD in this area
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PAGE 1

Evaluation of Geophysical and Thermal Met hods for Detecting Submarine Groundwater Discharge (SGD) in the Suwannee River Estuary, Florida by Matthew Weiss A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Department of Geology College of Arts and Sciences University of South Florida Major Professor: Sarah Kruse, Ph.D. Mark Stewart, Ph.D. Jeff Chanton, Ph.D. Date of Approval: March 31, 2006 Keywords: SGD, streaming resist ivity, radon 222, methane, Suwannee Copyright 2006 Matthew Weiss

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ACKNOLEDGEMENTS The author would like to acknowledge the cont ributions to this th esis by the following people: Rick Peterson, Jason Greenwood, Marg aret Murray, and Brian Blake-Collins who’s field expertise and data processing allowed this thesis to be written; Jeff Chanton and Mark Stewart for their insightful comment s; and Sarah Kruse whose guidance proved to be invaluable through out the last two years.

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i Table of Contents List of Tables iii List of Figures iv Abstract vi Introduction 1 Project Background 1 Hydrogeology 5 Methods 7 Geochemical Tracers 7 Thermal Imagery 8 Streaming Resistivity 9 Testing the Hypothesis 11 Results and Discussion 13 Overview 13 Main River Channel Zone 19 Thermal Imagery 22 Streaming Resistivity 25 Individual features of interest 28 Main channel zone summary 29 Estuary Zone 30 Thermal imagery and streaming resistivity 32 Individual features of interest 33 Estuary zone summary 39 Offshore Zone 40 Within 1km of shoreline 40 2-3km from shore 48 Entire offshore zone summary 52 Conclusions 56 References 59

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ii Appendices 62 Appendix 1: Resistivity profile s not discussed in text 63 Appendix 2: Raw data fo r all lines collected 67 Appendix 3: Matlab codes used to process data 109 Appendix 4: EM-31 data from spot points 117

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iii List of Tables Table 1. Summary of all methods used 2 Table 2. Thermal intensity and measured temperatures used to calibrate thermal image 9 Table 3. Radon and thermal image temper atures for individual hot spots 34

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iv List of Figures Figure 1. Thermal image showing field area 6 Figure 2. Locations of measured temperat ures used to calibrate thermal image 9 Figure 3. Picture of 100m resistivity streamer 10 Figure 4. Coincident CH4 vs. 222Rn measurements for entire field area from both March and September 2005 14 Figure 5. Thermal image temperature vs. 222Rn for entire field area 14 Figure 6. Resistivity at 5, 10, a nd 15m below sediment surface vs. 222Rn for entire field area 15 Figure 7. Map of field ar ea divided into zones 18 Figure 8. Lines 18 and 19 overlying thermal image 19 Figure 9. Line 18 resistivity profile 20 Figure 10. Line 19 resistivity profile 21 Figure 11. Thermal image temperature vs. 222Rn 23 Figure 12. Manatee Springs as seen on th ermal image with study area inset map showing location 24 Figure 13. Resistivity below the sediment surface vs. 222Rn activity 27 Figure 14. Line 9 overlying thermal image 31 Figure 15. Lines 15-17 overlying thermal image 31 Figure 16. Thermal image temperature vs. 222Rn activity for Estuary zone 32 Figure 17. Resistivity below sediment surface vs. 222Rn activity for Estuary zone 33

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v Figure 18. Locations of possible hot spots and tidal creeks where 222Rn and CH4 data collected 34 Figure 19. Line 9 resistivity profile 36 Figure 20. Line 17 resistivity profile 37 Figure 21. Line 15 resistivity profile 38 Figure 22. All resistivity lines coll ected in September 2005 ~500m offshore overlying thermal image 41 Figure 23. Thermal image temperature vs. 222Rn activity for offshore zone data collected in September 2005 42 Figure 24. Resistivity below sediment surface vs. 222Rn activity for offshore zone data collected in September 2005 42 Figure 25. Lines 10-12 overlying thermal image 43 Figure 26. Line 14 overlying thermal image 44 Figure 27. Line 10 resistivity profile 45 Figure 28. Line 11 resistivity profile 46 Figure 29. Line 12 resistivity profile 47 Figure 30. Line 14 resistivity profile 48 Figure 31. All resistivity lines coll ected in March 2005 ~2-3km offshore overlying thermal image 49 Figure 32. Line 3 overlying thermal image 50 Figure 33. Resistivity at 5m below sediment surface vs. 222Rn for offshore zone data collected in March 2005 50 Figure 34. Line 3 resistivity profile 53 Figure 35. Line 7 overlying corner of thermal image 54 Figure 36. Line 7 resistivity profile 55

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vi Evaluation of Geophysical and Thermal Met hods for Detecting Submarine Groundwater Discharge (SGD) in the Suwannee River Estuary, Florida Matthew Weiss ABSTRACT Submarine groundwater discharge (SGD) re presents a significant portion of the total discharge from coastal aquifers thr ough diffuse seepage and point source springs, but can be difficult to locate. SGD is impor tant as it can be a source of nutrients to estuaries and other coastal ecosystems. In an effort to evaluate geophysical and thermal methods for detecting SGD on the Florida Gulf coast, a suite of wate r-borne surveys were run in conjunction with aerial thermal imagery over the lower Suwannee River and estuary in March and September 2005. Th ermal imagery exploits temperature differences between discharging groundwater and surface water. Thermal images were collected in March (dry season), at the e nd of winter, and at night to maximize the differences between warm groundwater and cold er surface water. Generally pore waters in zones of concentrated SGD should be fresher, and hence more resistive than “background” values. Marine streaming resistivity data can detect pore water resistivity variations and were coll ected alongside continuous 222Rn and CH4 sampling from surface waters. Naturally occurring tracers, 222Rn and CH4, are used as the “standard” against which resistivity and thermal images are compared. Based on the expected properties of discharging groundwater, we hypothesize

PAGE 9

vii that in zones of elected tracer concentrations, increased thermal image temperatures and increased terrain resistivities will be observe d. The data set as a whole supports this hypothesis. However, regionalscale correlations are clearly and significantly influenced by factors other than SGD including thermal-im age noise, the presence of the fresh/salt water interface, and a large re gional tracer gradient generate d by a first-order spring. At local scales (tens to hundreds of meters) th ere are no significant correlations between thermal image temperature and tracer concentra tions, due at least in part to flight-line edge effects that dominate the thermal imag ery. After correcting for regional trends, significant correlations between tracer concentr ation and log resistivity exist only in a subset of the data that lies offshore. Because neither thermal imagery nor streaming resistivity data consistently support the hypotheses, this study suggests that neither method by itself is reliable for de tecting SGD in this area.

PAGE 10

1 INTRODUCTION Project Background Submarine groundwater discharge (SGD) is an important factor in calculating coastal water budgets as well as a transport ag ent for nutrients (e.g. Rutkowski et al 1999; Corbett et al 2000; Moore et al 2002). S GD can occur as diffuse discharge through permeable surficial sediments, concentrated di scharge through fractures or karst conduits, re-circulation of seawater, and seepage of fr esh water from confined aquifers (Corbett et al 2000; Bokuniewicz et al 2004; Martin et al 2004). Zones of SGD are often difficult to map by remote methods due to rapid mixing of discharging pore water with surface waters (Cable et. al. 2004; Taniguchi 2005) or to identify through labor-intensive installation of seepage meters. Increasing concerns about nu trient loading, water quality, and ecosystem stability depend on locating sources of SGD in the most efficient way possible. This project attempts to a ssess the effectiveness of rapi d reconnaissance methods for detecting zones of concentrated SGD in th e lower Suwannee River. Once areas of possible SGD are located using these methods, more focused studies could target those areas and the environmental effects associat ed with them. This project will focus on three distinct methods for detecting SGD: na turally occurring geochemical tracers, Radon

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2 222 (222Rn) and Methane (CH4); streaming marine resist ivity surveys; and thermal imagery (Table 1). Methods Assumed SGD-driven surface water and pore water characteristics Other influences on measured parameter Radon (222Rn) Discharging pore water will have high Rn relative to surface water Surface water mixing, wind, water temperature, RAD7 saturation Methane (CH4) Discharging pore water will have high CH4 relative to surface water Surface water runoff, availability Resistivity Terrain resistivities in zones of concentrated SGD will be fresher (higher resistivity) than in neighboring areas Inversion artifacts, matrix porosity, matrix lithology (presence of clays) Thermal Imagery Discharging pore water is colder or warmer than surface water Surface water mixing, wind, waves, flight-line edge effects Table 1: Summary of strengths and limitati ons of methods used in this study for identifying zones of SGD. 222Rn is a daughter of 226Ra, part of the Uranium and Thorium decay series (e.g. Gregg and Holmes 1990; Cowart and Burnett 1994), which is known to exist within the various phosphoric deposits making up the Florid an Aquifer System (Fanning et al 1982). These deposits occur throughout central Florida. A study by Fanning et al (1982) showed values of both 226Ra and 222Rn (400-12,000 and 14-555 dpm per 100 liters, respectively) were higher than normal seawater (0.1-0.5 dpm /L and 2-3 nmol/L respectively, Cable et al 1996) along the entire west coast of Florid a. Fanning et al (1982) also reported radon activities 38km upstrea m of the mouth of the Suwannee River as high as 6590 dpm per 100 liters. A later study by Burnett et al (1990) showed that groundwater was a major supplier of 226Ra not only into coastal waters, bu t also upriver. Fanning et al (1982),

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3 Burnett et al (1990), and Cable et al (1996) all conclude that wh ile other sources of 222Rn are present, input from groundwat er is the primary source. 222Rn has been used as a groundwater tracer in numerous studies, and been proven an effective way to measure seepage (Cable et al 1996; Moore 1999; Corbett et al 2000; Burnett et al 2003; Cable et al 2004; Swarzensk i et al 2004) because of its status as an inert noble gas. Unlike 222Rn, CH4 is non-conservative in coastal systems (Bugna et al 1996). Nevertheless, it may be used as an in dicator of discharge because it appears in groundwater at levels 1-7 orders of magnit ude higher than ocean waters (Bugna et al 1996). Microorganisms produce methane during anae robic respiration of organic materials with very low redox potential (Bugna et al 1996). As a re sult, methane values vary depending on the type of water body, ranging from 4.8-5000 nM in rivers, 40 nM to 6300 M in groundwater, and 2-3 nM in surface ocean waters (Bugna et al 1996). Both 222Rn and CH4 occur naturally within the subsur face and are transported, at least in part, by SGD from nearby sources out into surface waters (Burnett et al 1990; Bugna et al 1996; Cable et al 1996). We recognize, howev er, that these tracers, like direct seepage meter measurements, are influenced by factor s other than SGD. For example, other possible methods of transport for methane in clude pore water re-cir culation and surface water runoff. Nevertheless, these tracers have been proven effective indicators of zones of elevated SGD (Bugna et. al 1996; Cable et. al. 1996), and we use these techniques in this study as a standard against which resis tivity and thermal imagery data are compared. Streaming resistivity has recently been used to delineate areas of SGD by Manheim et al (2004), Swarzenski et al ( 2004) and other ongoing studies. Applications of streaming

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4 resistivity for identifying zones of SGD in coastal environments are based on the assumptions that (1) at sites of elevated S GD sub-seafloor pore waters will be fresher, and hence these sites will have higher terrain resi stivities relative to neighboring areas, and (2) resistivity variations associated with pore water salinity variations can be distinguished from those arising from matrix effects (Manheim et al 2004). Thermal imagery has been used throughout the U.S. to map ar eas of groundwater discharge that are warmer th an the surrounding media (e.g. Ba nks et al 1996; Campbell et al 1996; Portnoy et al 1998). These studies were able to detect differences in groundwater and surface media te mperatures to within 1 C. Temperatures measured in thermal imagery reflect temperature only of the upper most microns of the surface of objects. As a result this method is extremely sensitive to windblown water currents, surface agitation (waves) and need to be cal ibrated based on actual ground temperature readings. Qualitative and quantitative analyses to evaluate the effectiveness of streaming resistivity and thermal imagery in detecting S GD are described here for data collected in the lower Suwannee River and estuary on the Gulf Coast of Florida. It is our working hypothesis that these methods will show a det ectable response to variations in SGD. Thus where higher tracer concentrations are found, we expect both warmer surface water, measured by thermal imagery, and higher sub-seaf loor terrain resistivities associated with fresher pore waters, measured with streaming resistivity. This study does not attempt to quantify the amount of discharge (be it fresh or salt water discharge), but instead seeks to assess the conditions and scales over whic h the hypothesis above holds true, and over which these reconnaissance tools may be useful for mapping zones of SGD.

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5 Hydrogeology The Suwannee River is one of the largest in Florida, flowing from southern Georgia through northern Florida, and discharg ing about 300 m3/s into the Gulf of Mexico (Tillis 2000). This study focuses on the lower Suwannee River beginning about 10 km upstream of the mouth and continuing out to about 5 km offshore (Figure 1). Hydrologically, the lower Suwannee is spring fe d, but the location of springs within the study area is poorly understood (Scott et al 2004). Geologically, the river cuts into the carbonate unit of the Floridan aquifer, wh ich is unconfined in the field area and composed primarily of porous limestone s and dolomites with some gypsum and anhydrite filling pore spaces at depth (C ountryman 1997). Additionally, numerous phosphate mines exist along the river upstr eam, as well as throughout west central Florida (Fanning et al 1982; Burn ett et al 1990). Where the ri ver is not in direct contact with the Floridan aquifer, and adjacent to the river, it is unde rlain by quartz sand and silty-sand deposits (Countryman 1997).

PAGE 15

6 Figure 1: Thermal image acquired in March 2005 over Suwannee River and estuary and inset map of Florida. Light co lors correspond to warmer temperatures, dark to cooler temperatures. In March groundwater is warmer than surface water, so zones of SGD should appear lighter than surrounding area s. Note the shore-parallel and riverparallel banding within the image, whic h represents flight line edge effects.

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7 METHODS Geochemical Tracers Geochemical data were collected alongsid e streaming resistivity profiles in both March and September 2005. Radon values were obtained using 6 RAD7 detectors in March, and 3 RAD7 detectors in September c onnected in parallel on a closed air loop, allowing at least 30 minutes to calibrate th e instruments before readings were taken. Measurements were taken from water being pumped into an air-water diffuser every 5 minutes during March collection, and every 10 minutes in September, resulting in spacing between successive radon readings 400-700 meters along profiles. 222Rn measurements are achieved through detection of their -emitting daughters in air, 214Po and 218Po, using a charged semi-conductor detector (Burnett et al 2001). More detailed description can be found in Dulaiova et al (2005) and Burnett et al (2001). Methane values were obtained by submerging a CA PSUM Technologie GmbH METS sensor off the side of the boat and recording values every minute. Surface water salinity and temperature were also recorded every mi nute using a YSI model 600R Sonde placed ~1015cm below the water surface.

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8 Thermal Imagery Aerial thermal infrared images were taken from a twin engine Cessna 337 SkyMaster flying at an altitude of 2200 m (~7200ft) on March 3, 2005 by VeriMap PLUS Inc. Images have 1.5m by 1.5m pixe l resolution, are sensitive to 0.1 C and were taken with a Mitsubishi IR_M700 FPA digital focal plane array thermal sensor sensitive to a spectral band of 1.2 to 5.9 m (Stonehouse, personal commun ication). The flight was done during low tide, between the hours of 11 PM and 2 AM, and near the end of the cold season when temperature differences between warm (discharging) groundwater and colder surface water are maximized. Image surface temperatures were measured at the time of flight at three sites in the main channel of the Suwannee and one pa rking lot (Figure 2). Water temperatures were obtained by recording values at floating loggers tied to separate anchors with the instrument sensor within 2cm of the water surface. Parking lot temperatures were obtained from a lot at the fire station in Fowl er’s Bluff using an infrared food temperature sensor (Table 2). The thermal imagery was used here in two ways. First, thermal image values were extracted at lo cations along marine stream ing resistivity tracks for comparison of the two data sets. Second, “hot spots” were subjectiv ely identified in the image.

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9 Figure 2: Sites where temperatures were meas ured at the time of flight to calibrate the thermal image. Measurements are given in Table 2 Location Thermal Intensity Measured Temperature (C) 1 (Fowler’s Bluff) 100 9.2 2 172 18.1 3 169 17.7 4 112 17.3 Table 2: Thermal intensity and measured te mperatures used to calibrate the thermal image from sites in Figure 2. Streaming Resistivity Marine resistivity data were collect ed in March and September 2005 using an Advanced Geosciences, Inc. Supersting Marine eight-channel resistiv ity system with two different electrode streamers supplied by the US GS. The March data were collected with a 50m dipole-dipole configuration array w ith 5m electrode spacing on March 2-3 2005 while tide was going out or at low tide, and in cludes lines 1-7. The September data were collected with a 100m dipole-dipole configur ation array with 10m electrode spacing on

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10 September 27-28 2005 as tide was going out, an d include lines 8-19. Both streamers contained 2 current electrodes a nd nine potential electrodes yi elding readings at 8 offsets between dipoles, effectively measuring resi stivity at 8 different depths. During each deployment the respective streamer was to wed behind the boat with a 15m length of cable between the boat and the first potentia l electrode (Figure 3). A GPS antenna was positioned directly above the point where th e streamer was anchored to the boat to accurately account for the boat’s position. A ll data were inverted using EarthImager software from Advanced Geosciences Inc. With the exception of lines SUW1 and SUW2 the surficial layer was constrained in the firs t iteration of the inve rsion to the measured surface water conductivity and depth. Maximu m depths of penetration for the March and September data sets are 14 and 25m, respectiv ely. During data collection average boat speed was kept at about 4kn and resistivity measurements were taken about every 3 seconds for an average spacing of 6m between readings at similar depths. Inversion results were then kriged to a grid and contoured using Surfer software. Figure 3: The 100m resistivity streamer trai ling from back of boat. The light-colored floats are between electrodes.

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11 Testing the Hypotheses Each of these measured quantitities is infl uenced differently by aspects other than SGD flux rates, as summarized in Table 1. For example, variability in surface water depth influences resistivity inversion resolu tion, as well as the degr ee of mixing of both tracers and temperatures thr ough the water column. Thus we do not necessarily expect a linear relationship between these parameters. However, more comprehensive models for the relationships between thes e parameters are beyond the scope of this “reconnaissance” study. Here, to test our basic hypotheses that warmer image temperatures and higher sub seafloor terrain resistivities coincide with el evated tracer readings, we use the simplest reasonable statistical methods. To characterize image temperature–222Rn activity relationships we compute linear correlation coefficients and probability values (p-values) appropriate for smaller data sets such as those found here. If our hypothesis holds true, we expect positive linear correlation coefficients ( r ) where: r = Cxy /xy and Cxy is the covariance of variables x and y and x and y are the standard deviations of these variables, respectively. Correlations ar e determined to be statistically significant with 95% certainty if p < 0.05, where p is the probability value, or probability of calculating the same correlation solely by chance, based on calculated correlation coefficient ( r ) and number of data points ( n ) (Urdan 2001). To describe resistivity-ra don relationships, we compute similar parameters but use the log of the resistivity. B ecause resistivities typically va ry over orders of magnitude,

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12 these data are generally plotte d on logarithmic scales. Arch ie’s Law predicts that the relationship between pore water resistivity and terrain resi stivity should be linear for many (non-clay rich) materials (Reynolds 1997) However the combined relationships between rates of SGD, pore wate r, salinity, pore water resistivities, terrain resistivities, and resistivities derived from inversions ma y certainly be more complex (for example, Keller and Frischknecht 1966). In this st udy we find that there are generally higher correlation coefficients for log resistivity and 222Rn than for a linear relationship between the two, particularly for certain subsets of th e data. Data needed to examine the factors influencing the form of the radon-resistivity relationship (e.g. core samples, pore water sampling) are beyond the scope of this study.

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13 RESULTS AND DISCUSSION Overview We test the hypotheses that (1) sub seafl oor resistivities, a nd (2) temperatures derived from aerial thermography, ar e higher in zones of elevated 222Rn and CH4. These relationships are expected if SGD variability is a strong infl uence on terrain resistivities and surface water temperatures. We test thes e hypotheses on three scales. First, simple correlations are computed between temperatures, resistivities, and tracers over the entire field area using data from both dry (March) and wet (September) seasons. Second, these relationships are re-examined in three distin ct zones with different salinity conditions. Finally, individual features on the order of tens of meters to hundreds of meters are examined subjectively. For the entire Suwannee data set, there is a strong correlation between coincident 222Rn and CH4 readings (r =0.96, p < 0.0001, n=108; Figur e 4). It appears that both 222Rn and CH4 are similarly influenced by groundwater inputs, surface water flow, and mixing. Because of this strong similarity in the tracer responses, we focus our subsequent discussion of regional correlati ons to those between the geophysical measurements and the 222Rn data.

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14 0 20 40 60 80 100 120 140 160 00.511.522.53222Rn (dpm/L) Figure 4: Coincident CH4 vs. 222Rn measurements for entire field area from both March and September 2005. As a result of the significant correlation (r =0.96, p < 0.0001, n=108) only 222Rn was compared to resistivity and thermal imagery in figures below. 0 20 40 60 80 100 120 140 160 1012141618 Thermal Image Temperature (C)222Rn (dpm/L) Figure 5: Thermal image temperature vs. 222Rn for entire field area (r = 0.74, p < 0.0001, n = 62). Note data from farther offshore show low 222Rn activities and lower thermal image temperature. For the Suwannee data set as a whole, the thermal and 222Rn data follow the trends hypothesized, namely that there is a good correlation between image temperature and 222Rn (r =0.74, p < 0.0001, n = 62; Figure 5). Ho wever, the data clearly form two Data from offshore CH4 ( mol/L)

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15 clusters on Figure 5: a group of low 222Rn values that correspond to the coldest thermal image temperatures recorded; and a second group of higher radon values (> 60 dpm/L) with temperatures clustered in the 14.5-18 C range. The low 222Rn-cold temperature cluster represents data collected offshore of the estuary, along the co ast; the other cluster represents data collected in the river and estuary. A correlation coefficient computed for such a distribution incorporating two distinct populations will yield a high value ev en when the parameters of interest may not be correlated within eith er population. The significant correlation between image temperature and 222Rn over the entire data set must th erefore be interpreted with caution. To examine whether image temperature is significantly linearly correlated with 222Rn within sub-environments of th e field area, this analysis is repeated and discussed below for the main river channel, estuar y, and offshore zones separately. 0 20 40 60 80 100 120 140 160 0.1110100222Rn (dpm/L) 5m 10m 15m Figure 6: Resistivity at 5, 10, and 15m below sediment surface vs. 222Rn for entire field area (r = 0.48, p < 0.0001, n = 82 at 5m; r = 0.27, p = 0.083, n = 41 at 10m; and r = 0.18, p = 0.37, n = 28 for 15m below sediment surface). Note the separate linear trends with different geographic locations Farther offshore Within river channel Resistivity ( m)

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16 Figure 6 shows that at 5m below the se diment-water interf ace, the log of resistivity and 222Rn are significantly correlated at the 95% confidence leve l, but this is not the case for resistivities derived at 10 and 15 meters below the sea/river floor (r = 0.48, p < 0.0001, n = 82 at 5m; r = 0.27, p = 0.083, n = 41 at 10m; and r = 0.18, p = 0.37, n = 28 for 15m below sediment surface). These poor correlations could be related to a number of factors including those listed in Table 1, such as changes in pore water resistivity throughout th e study site associated with th e coastal freshwater/saltwater interface rather than SGD. Both seawater a nd fresh water that have significant residence time in the ground can have elevated 222Rn levels (Figure 6). Additionally, inversion artifacts are seen throughout the resistivity data set wher ever errors in water depth measurement exist. These errors can produce resistivities as much as three orders of magnitude greater than surroundi ng resistivities directly undern eath the spot where errors in depth readings occur (e.g. line 3 at 1300m, line 17 at 3300m). Resistivity-222Rn relationships data cluster within distinct trends, which represent different sub-environments, as indicated on Figure 6, similar to thermal image data. These sub-environment differences follow separa te linear trends within the data that follow the trends hypothesized, but as a whol e the hypothesized tre nds are not observed. Finally, over the data set taken as a whole the 222Rn measurements themselves may not be good quantitative indicators of SGD. For example, in the upriver portions of the Suwannee a strong regional gradient in 222Rn is associated with output from Manatee Springs, a first order spring ~40km upstream from the mouth. To examine these relationships on a smaller scale, the field area was subdivided into three distinct zones:

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17 the main channel of the Suwannee, where fresh surface water dominates downstream to the fresh/salt water interface; the estuary, wher e the main river channel separates into east and west passes, representing a mix of fresh, brackish, and salty surface water underlain by saline groundwater; and offshore, domi nated by saline ground and surface water (Figure 7). Between each of th e three zones the resistivity pa tterns differ significantly. Upriver, SGD can occur as fresh water di scharge into fresh surface water, which should be detected by the presence of increased 222Rn/CH4 and temperature, but not by resistivity. Offshore, SGD could occur as both fresher water discharging into surface seawater through springs, diffuse seepage, re -circulated seawater, or a mix, detectable with 222Rn/CH4 and thermal imagery, with perhaps a weak resistivity signature. Within the estuary environment, disc harging pore water c ould potentially be more saline (lower resistivity) than overlying surface water, alt hough local zones of SGD are still expected to be associated with locally higher resistivi ties.. Here SGD is in theory detectable by 222Rn/CH4, thermal imagery, and possibly either positive or negative resistivity anomalies.

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18 Figure 7: Field area divided into zones refl ecting regional temperat ure and geochemical gradients

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19 Main Channel Zone The main Suwannee channel resistivity data extend from the town of Suwannee upstream 9.6 km (6mi) (Figure 7) and consis t of lines 1-2b, 8, and 18-19. Because many of these lines overlap and geochemical data we re not collected in this zone during March 2005 (lines 1-2b) discussion will focus on lines 18 and 19, collected in the same location in September 2005 during low and high tides, re spectively (Figure 8). Along both lines, the fresh/salt water boundary within the subsurface is located between 2500 and 3500 meters (1.5-2.1 mi) along the line (Figures 9 & 10). Figure 8: Lines 18 and 19 (white line) overlying thermal image. 222Rn data points shown as black stars along line 19. Wh ite arrows point to areas of high 222Rn activities with linear distance along line in meters labeled. Resistivity profile for line 19 shown in Figure 10

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20 Figure 9: Line 18 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). White line on resistivity profile represents riverbed. For map of line see Figure 8. Lin ear distances are approximately equal to line 19 (Figure 10)

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21 Figure 10: Line 19 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). White line in resistivity profile represents riverbed. For map of line see Figure 8. Lin ear distances are approximately equal to line 18 (Figure 9)

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22 Thermal Imagery Within the Main channel zone our hypothesis that 222Rn activity will linearly correlate with thermal image temperatur e is not supported. Correlations between 222Rn and thermal image temperatures were poor (r = -0.09, p = 0.63, n = 31; Figure 11a). Possible explanations for the poor correlati on are (1) that the temperature differences between relatively warm surf ace water in the river channel and warm groundwater are small, and smaller than thermal image noise; (2) vegetation on the channel margins masks warm water discharge; (3) that the correlation includes comparison of 222Rn data collected in both March and September 2005 against the March 2005 thermal image or (4) 222Rn pulses from local sources are small compared to high background levels from Manatee Springs (Figure 12) and/or swept downstream from their sources.

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23 80 90 100 110 120 130 140 150 1414.51515.51616.51717.518 Thermal Image Temperature (C)222Rn (dpm/L) 0 5 10 15 20 25 30 35 40 1414.51515.51616.51717.518 Thermal Image Temperature (C)Detrended 222Rn (dpm/L) Figure 11: (a) Thermal image temperature vs. 222Rn activity for Main Channel Zone (r = -0.09, p = 0.63, n = 31). (b) Thermal image temperature vs. 222Rn with best fit linear trend removed for Main Channel Z one (r = 0.25, p = 0.18, n = 31). Data along lines 18-19 are shown in Figures 9-10 (a) (b)

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24 Figure 12: Manatee Springs as seen on thermal image with study area inset map showing location (white square) Another factor certainly contributing to the poor correlation between thermal image temperature and 222Rn is the regional gradient in 222Rn due to input from Manatee Springs. Manatee Springs is a first order spring located ~40km (~25mi) upstream from the mouth of the Suwannee (Figure 2). Mana tee Springs appears as a hot spot on the thermal image with a temperatur e reading of 25.5C (~78F), and 222Rn activities, measured in September 2005, were as high as 715 dpm/L. The elevated temperatures associated with Manatee Springs are observe d to be much more localized than the downriver 222Rn gradient. To see if the hypothesi zed relationships hold over smaller length scales, we attempt to minimize the “Manatee Springs effect” in the 222Rn data by simply removing the best -fit linear trend in 222Rn as a function of distance downstream (~8dpm/L per km 222Rn).

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25 Figure 11b clearly shows that with the linear trend in 222Rn removed correlation between 222Rn and thermal image temperature is still poor (r = 0.25, p = 0.18, n = 31). Thus in the main channel downstream of Ma natee Springs our hypotheses of coincident elevations in 222Rn and image temperature is not supported. Table 1 summarizes some additional f actors, other than SGD flux, that will influence the image temperature and other measurement techniques. For example, there are two clear sources of noise in the thermal image: edge e ffects along flight lines, and breaks at the boundaries that separate subsets of the thermal image that were processed separately (Figures 9-10). Quantitatively on this regional scale the va riety of factors beyond SGD fluxes that influence image temperature and 222Rn appear to be significant. When image temperatures are extracted and plotted along boat track lines, these sources of noise appear as a wave-like pattern with a wavelengt h of ~1 km (flight line edge effects) and sharp breaks (image subs et boundaries; Figures 9-10). Streaming Resistivity 222Rn levels throughout this zone, however, correlate well with the log of resistivity at 5, 10, and 15m below the sedime nt-water interface, and thus support our hypothesis (r = 0.61, p = 0.0002, n = 31 at 5m; r = 0.62, p = 0.0004, n = 28 at 10m; and r = 0.79, p < 0.0001, n = 26 at 15m below sediment surface; Figure 13a). Even though these correlations are moderately good and are very statistically signi ficant, they may not be entirely representative of S GD due to the regional gradient of 222Rn coinciding with

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26 the fresh/salt water interface. In Figure 13b the best fit linea r trend was removed from both 222Rn and the log of resistivity and, as suspected, our hypothesis is not supported due to poor correlation (r = 0.14, p = 0.45, n = 31 for 5m; r = -0.04, p = 0.84, n = 27 for 10m; and r = 0.41, p = 0.07, n = 20 for 15m below sediment surface). Because our hypothesis is not supported, the data imply sources other than SGD are producing high 222Rn activities outside of the regional gradient. A better correlation was expected during lower tides, due to greater difference between aquifer head and sea leve l, but surprisingly little variation in correlation coefficients betw een tides was observed. Interestingly, higher 222Rn levels overall were present during higher tide, opposite of expected for head gradient driven SGD in the surficial aquifer (Figure 13a). Similar results were found by Loper et al (2005) at Wakulla Springs, w ithin a karstified region in north Florida. These higher activities could be due to: (1) higher head levels in the Gulf retarding submarine flow farther offshore, a nd forcing groundwater to discharge farther upstream or (2) pulses of high 222Rn activity, and thus discharge, present downstream are representative of groundwater disc harging during the last low tide.

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27 80 90 100 110 120 130 140 150 110100222Rn (dpm/L) 5m 10m 15m 0 5 10 15 20 25 30 35 40 0.1110100 Detrended resistivityDetrended 222Rn 5m 10m 15m Figure 13: (a) Resistivity below sediment surface vs. 222Rn activity for Main Channel Zone (r = 0.61, p = 0.0002, n = 31 at 5m; r = 0.62, p = 0.0004, n = 28 at 10m; and r = 0.79, p < 0.0001, n = 26 at 15m below sediment surf ace). Distinct linear trends at high tide and low tide are labeled. (b) Resistivity below sediment surface vs. 222Rn activity, both with best fit linear trends removed, for Main Channel Zone (r = -0.14, p = 0.45, n = 31 for 5m; r = -0.04, p = 0.84, n = 27 for 10m; and r = 0.41, p = 0.07, n = 20 for 15m below sediment surface). Data along lines 18-19 are shown on Figures 9-10 High tide Lowtide (a) (b) Resistivit y below sediment surface ( m )

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28 Individual features of interest Within this zone there are clear influen ces on measurements not related to local sources of SGD: (1) a strong, fairly uniform downriver gradient in 222Rn levels is attributed primarily to a single strong sour ce of SGD at Manatee Springs; (2) flight line edge effects within the thermal image; and (3) the fresh/salt wate r interface within the subsurface. To look for possible additio nal smaller sources of SGD downriver, discussion is focused on specific features of in terest within data co llected along resistivity profiles. On line 19 local highs in 222Rn exist at 2250, 5250, and 5800 meters along the line (Figure 10). Figure 10 s hows a ~2km wide high in 222Rn over the saline edge of the fresh/salt water transition in pore water, and low thermal image temperature values centered at 2000m along the line. This broa d high also lies just downstream of two tributaries entering the river along a cut bank on the south side of the river. Two troughs in the riverbed at 2400 and 2600 m on Figure 10 show these tri butaries on the resistivity profile. Tributaries to the Suwannee River, like Manatee Springs upstream, are often spring fed, and hence tributary influx coul d be an explanation for the elevated 222Rn where no highs in resistivity are presen t (2400 and 2600m on Figur e 10). It’s also possible that the high 222Rn activities in this area are due to 222Rn rich saline water discharging into the river. Main channel profiles show a second zone with local 222Rn highs at the eastern end of lines 18 and 19, upstream at 5250 and 5800 m (Figure 10). These highs are coincident with more resistive zones in the subsurface at both low (line 18; Figure 9) and

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29 high (line 19; Figure 10) tides, although the zones of low resistivity are more pronounced at high tide. The 222Rn highs are also located downstr eam of two separate tributaries entering the river channel along opposite ends (east and west) of a cut bank on the north side of the river at 5250 and 5800m respectively (Figure 8). Both tri butaries are apparent in the resistivity profile as depression s in the riverbed (Figures 9 & 10). Thus there are at least two possi ble explanations for these local 222Rn highs: (1) they reflect discharge of unde rlying fresher pore waters, and (2) they represent influx of spring-fed tributaries. On the east side of the cut bank the source of elevated 222Rn may well be from that tributary, which is belie ved to be spring fed. At both highs, high thermal image temperatures were also recorded. Unfortunately, these high temperatures are recorded at the edge of flight lines where readings are systematically high, making interpretation unreliable. Main channel zone summary While our hypothesis of linearly increasing 222Rn activity and the log of resistivity are supported for this zone, the hypothesis of increasing 222Rn activity, thermal imagery and the log of de-trended resi stivity is not supported. Noise in the thermal image consistently complicated inte rpretation both quantitatively a nd qualitatively at specific features of interest. Due to the presence of possibly spring fed tributaries, as well as lowresistivity anomalies corresponding to multiple spikes in 222Rn activity; it is difficult qualitatively to asses whet her correlati ons between 222Rn and the log of resistivity are caused by SGD. The sensitivity of resistivity to the fresh/salt water boundary may

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30 complicate its effectiveness in locating SGD in this zone. Estuary Zone Data in this zone are confined primarily to East Pass and include four resistivity lines, one collected while moving downstream (line 9), and three smaller lines moving upstream (line 15-17), all from September 2005 using the 100m resistivity streamer (Figures 14 & 15). Discussion will focus on lines 9, 15, and 17 as anomalies along those lines overlap. Due to shallow water and th e resulting need for the boat to speed along line 15, geochemical data were only collected on lines 9 and 17. Generally speaking, both geochemical tracers show a non-linear gradient decreasing from the main river channel to the mouth of East Pass, which is much shallo wer than the gradient flowing out of West Pass. Similarly, the surface water fresh /salt water interface has a much shallower gradient in East Pass than in West Pass.

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31 Figure 14: Line 9 overlying thermal image with starting and e nding linear distances labeled in meters. 222Rn data points shown as black stars. Flight line edge effects shown trend NW-SE. Line 9 resistivity profile shown in Figure 19 Figure 15: Lines 15 (bottom), 16 (middle), a nd 17 (top) overlying thermal image with starting and ending linear dist ances labeled in meters. 222Rn data points shown as black stars. Resistivity profiles for lines 17 a nd 15 are shown in Figures 20-21, respectively

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32 Thermal imagery and streaming resistivity Correlations between 222Rn and thermal image temperature are poor in this zone (r = 0.26, p = 0.34, n=15; Figure 16). 222Rn values and the log of resistivities at 5 and 10m below the sediment-water interface also do not correlate well overall (r = -0.35, p = 0.204, n = 15 at 5m; r = -0.03, p = 0.92, n = 12 at 10m; Figure 17). As a result of the poor correlations, our hypothesis is not suppor ted for thermal imagery or resistivity in this zone. The consistently poor correlations could be due, in part, to the shallow geochemical gradient in East Pass and the st eep gradient West Pass, coincident with multiple flight line edge effects in the thermal data, and several inversion artifacts in resistivity data. 55 65 75 85 95 105 115 1414.51515.51616.51717.518 Thermal Image Temperature (C)222Rn (dpm/L) Figure 16: Thermal image temperature vs. 222Rn activity for Estuary Zone (r = 0.26, p = 0.34, n=15). Data along lines 9 and 15-17 shown on Figures 14-15. Data within West Pass (Line 3) are shown in Figure 32

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33 55 65 75 85 95 105 115 0.1110100 Resistivity below sediment surface ( m)222Rn (dpm/L) 5m 10m Figure 17: Resistivity below sediment surface vs. 222Rn activity for Estuary Zone (r = -0.35, p = 0.204, n = 15 at 5m; r = -0.03, p = 0.92, n = 12 at 10m). Data along lines 9 and 15-17 are shown on Figures 14-15 Individual features of interest Despite the poor statistical correlation between therma l image temperature and 222Rn, several previously unknown hot spots ar e identified with thermal data along a linear trend within tidal creeks adjacent to East Pass (Figure 18). It is possible that this line of hot spots represents the beginning of the seepage face of groundwater discharge along the coastline.

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34 Figure 18: Locations of possible hot spots (1 &4) and tidal creeks (2-3 & 5) collected where 222Rn and CH4 were collected. Sites shown as white stars with site #’s. Data shown in Table 3 Site 222Rn Thermal Image Temperature (C) 1 70.7 13.5 2 56.7 12.8 3 29.7 12 4 18.4 19.8 5 23.4 10.8 Table 3: Radon and thermal image temperatures for individual hot spots in Figure 18. Thermal image temperature along East Pass averaged 16C. To test whether the thermal image hot spots show elevated levels of the groundwater tracers, 222Rn and CH4 were collected in September 2005 at two of the apparent hot spots (sites 1 and 4 on Figure 18) and at three othe r tidal creeks (Figure 18). Even at high tide, these tidal creeks ar e much too shallow and sinuous to permit

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35 streaming marine resistivity da ta collection. Of the two “hot spots”, it was subsequently recognized that only site 4 is a genuine hot s pot, while site 1 lies in a flight line-edge effect zone. The 222Rn values at site 4 are the lowest of the 5 sites, but are still an order of magnitude higher than normal seaw ater and are consistent with 222Rn values at the mouth of Barnett Creek (discussed in Offshore sec tion below). Because site 4, located in the headwaters of Barnett Creek (Figure 18), is farthest from the main Suwannee channels it is least likely to be influenced by Manatee Springs outflow. Hence this relatively low (but higher than seawater) reading may be compatible with local spring activity. The three clearly non-hot spot creek sites similarl y yield tracer values within the regional gradient or lower (Table 3). All estuary resistivity profiles show a wi de zone of higher resistivity anomalies that starts about halfway down East Pass and continues offshore (Figures 19-21). Within this 2.5km-long area inversion results indica te resistivity columns averaging 3-10 m that extend from the surface to depths >25m. Distinct peaks in radon exist at 600, and 20002500m along line 9, the latter co inciding with a smaller peak, measured at the same location, later in time at 1000m along line 17 (Figures 19-20). These peaks do roughly coincide with a moderately high resistivity zone (3-6 m), however resistivity inversions along line 9 are noisy, as eviden ced in the unrealistically high values of the shallowest layer resistivities. Nevert heless, the peaks in both 222Rn and resistivity along line 9 are present along line 17 as well, which is unaffect ed by such errors. In the “cleaner” line 17, the resistivity variations are lower and more diffuse.

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36 Figure 19: Line 9 resistivity profil e (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). White line in resistivity profile represents riverbed. For map of line see Figure 14

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37 Figure 20: Line 17 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Note broad zone of high resistivity from 0-1400m along line and high 222Rn activity at 1000m along line. Wh ite line in resistivity profile represents riverbed. For map of line see Figure 15

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38 Figure 21: Line 15 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Note increasing methane concentrations (blue) corresponding to higher resistivity values at 1350m. White line in resistivity profile represents seafloor. For map of line see Figure 15 Another area of particul ar interest lies between 5100-5300m along line 9 and 1300-1400m along line 15, where inversion resi stivities are high on both lines (Figures 19 & 21). This area corresponds to the mouth of Dan May Creek on the East and a smaller unnamed creek on the West (Figures 14 & 15). At higher tide (line 9), this anomaly in resistivity coincides with a su rface water temperature high, compatible with the idea of warm fresher groundwater discharg ing into colder surf ace water (Figure 19). As the tide goes out in this area (line 15), th e anomaly in resistivity is coincident with methane rich flow, perhaps from surrounding tr ibutaries (Figure 21). At lower tide, high

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39 resistivities still pers ist in the subsurface at this location, which could suggest an SGD contribution to the elevated methane. It should be noted that 222Rn values along line 9, as the boat moves from high 222Rn activity to low activity, are much hi gher than values along line 17 by ~30-40dpm/L at the mouth of East Pass, which were collected as the boat was moving from low 222Rn activity to high. Although it is possible that this increase in radon is due to increased spring input, it is more likely that this di screpancy is due to saturation of the RAD7 closed air system. During line 9 data collection it was noted th at as soon as the boat traveled out of East Pass offshore that radon va lues continued to be much higher than expected, so the RAD7 was opened to outside air and recalibrated. This recalibration did result in sustained lower values of radon on the return tr ip upstream later that day, but it is also possible that those lower values could be due to the presence of lower tide. Similarly, comparison of 222Rn values at tidal extremes is not possible in this zone due to the recalibration. Estuary zone summary Throughout the zone our hypothesis of a linear correlation between 222Rn activity, thermal imagery, and resistivity is not suppor ted. At individual points of interest, however, resistivity does seem to be a qualitatively effectiv e reconnaissance tool in this zone, as it located several possible springs between 2000-2500m and 5100-5300m along line 9 corresponding to high 222Rn values. However, invers ion of noisy readings along

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40 line 9 results in locally implausible resist ivity values and a po or overall statistical correlation with tracer measurem ents. Only one smaller scale feature was detected (site 4) as a result of the thermal image located at the head of Barnett Creek. Offshore Zone Within 1km of shoreline The offshore data set is broken into two main sections for discussion purposes as one section was collected much farther offshore than the other. The first section of this data set was collected closer to shore (average of about 500m away) in September, as tide was going out, with the 100m resistivity stream er. Data in this area were collected beginning at the mouth of East Pass (lin es 10-12), through Suwannee Sound at the mouths of several larger tidal creeks before looping back to East Pass (lines 13-15) and shown in Figure 22.

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41 Figure 22: All resistivity lin es collected in September 2005 ~500m offshore overlying thermal image 222Rn in this zone does not correlate well with thermal image temperature (r = -0.43, p = 0.19, n = 11; Figure 23) and thus does not support our hypothesis with respect to thermal imagery. However, correlations between the log of resistivities at 5, 10, and 15m below the sediment-water inte rface does support our hypothesis (r = 0.53, p = 0.09, n = 11 at 5m; r = 0.69, p = 0.08, n = 7 at 10m; and r = 0.53, p = 0.22, n = 7 at 15m below sediment surface; Figure 24). P oor correlation between thermal image temperatures and 222Rn could possibly be due to the relative homogeneity of 222Rn activity in this zone, and flight line edge effects in the thermal image.

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42 5.000 7.000 9.000 11.000 13.000 15.000 17.000 19.000 11121314151617 Thermal Image Temperature (C)222Rn (dpm/L) Figure 23: Thermal image temperature vs. 222Rn activity for Offshore Zone data collected in September 2005 (r = -0.43, p = 0.19, n = 11). Data along lines 10-12 and 14 are shown on Figures 25-26 0.000 5.000 10.000 15.000 20.000 25.000 110 Resistivity below sediment surface ( m)222Rn (dpm/L) 5m 10m 15m Figure 24: Resistivity below the sediment surface vs. 222Rn activity for Offshore Zone data collected in September 2005 (r = 0.53, p = 0.09, n = 11 at 5m; r = 0.69, p = 0.08, n = 7 at 10m; and r = 0.53, p = 0.22, n = 7 at 15m below sediment surface). Data along lines 10-12 and 14 are shown on Figures 25-26 The only real shift in thermal image temper ature on this part of the image is at 0400m along line 11 (Figure 25) and 2450-3298 al ong line 14 (Figure 26 ), both of which

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43 cross between a plume of warm fresh water di scharging from East Pass and colder salt water occupying Suwannee Sound. Interestingly, this area of warmer water does correspond to an area of higher resistivity (3-10 m) between 180 and 320 meters along the line. Hence this warm water may have a local SGD contribution as well as input from East Pass. Other apparent temperature variat ions in this area are primarily noise from edge effects in imagery (Figure 22). Figure 25: Lines 10 (left), 11 (middle), a nd 12 (right) overlying thermal image with starting and ending linear dist ances labeled in meters. 222Rn data points shown with black stars. Resistivity profile fo r lines 10-12 is shown on Figures 27-29 Plume of warm water

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44 Figure 26: Line 14 overlying thermal image w ith starting and ending linear distances labeled in meters. 222Rn data points shown with black stars. Note plume of warmer water discharging from East Pass. Resi stivity profile of line 14 shown on Figure 30 Multiple near shore resistivity lines, including 10-12 and 14, show areas of various sizes (20-100m wide) where resistivities of ~ m extend almost from the sediment-water interface down to the streamer’s depth of pe netration (~25m) (Figures 27-30). Within these lines, resistivities consis tently increase with depth from the seafloor down to 10m or more. 222Rn data are too sparse for comparison and CH4 readings do not show variability on the scal es of the resistivity pr ofiles. However, both CH4 and 222Rn show readings higher than norma l seawater. For example, a series of high resistivity anomalies exist along line 12, but CH4 concentrations are quite uniform along the line. It is possible that these high resistivit y anomalies do correspond to possible sites of SGD, however the lack of correlation between tracers an d resistivity suggest that surface water mixing may smooth out the signature of concentrated sources, or that in this area resistivity may be more sensitive to f actors other than SGD. It is possible that Plume of warm water

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45 the resistivity anomalies in this zone are due to variability in matrix resistivity, or porosity. Figure 27: Line 10 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Note larg e areas of higher resistivity but no distinct highs in tracer concentration. White line in resistivity prof ile represents seafloor. For map of line see Figure 25

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46 Figure 28: Line 11 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Broad hi ghs in resistivity corre late with plume of warmer water in Figure 25 but does not corr espond to high tracer concentrations. White line in resistivity profile represents s eafloor. For map of line see Figure 25

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47 Figure 29: Line 12 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Note broa d areas of higher resis tivity but no distinct highs in tracer concentrations. White line in resistivity prof ile represents seafloor. For map of line see Figure 25

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48 Figure 30: Line 14 resistivity profile (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Note broa d areas of higher resis tivity but no distinct highs in tracer concentrations. Warm plume of water shown in Figure 26 is present from ~2400m to the end of the line. White line in resistivity profile repr esents seafloor. For map of line see Figure 26 2-3km from shore The 2nd section is the data set that was co llected 2-3 km (1.8-2.5mi) from shore during March 2005 at low tide using the 50m resis tivity streamer. Resistivity data in this zone consist of lines 3-7, however only data from the offshore portions of line 3,

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49 and line 7 will be discussed as they are representative of all lines in this zone (Figure 31). This data set shows a very homogeneous subs urface, consisting of resistivities that are typically <1-2 m down to the detection limits of this resistivity streamer (~13m). Figure 31: All resistivity lines collected in March 2005 ~2-3km offshore. See Figure 22 for data collected within white box discussed earlier in this section Unfortunately, our hypothesis of increas ing thermal image temperature with increasing 222Rn activity could not be tested he re, as there are only two overlapping 222Rn and thermal image points exist in the data set. Figure 32 shows the thermal image of this area are affected not only by flight edge e ffects at ~200m along line, but image edge effects at ~2300m, with no mean ingful hot spots. Adequate data do exist to calculate the correlation between 222Rn and the log of resistivity at 5m below the sediment-water interface (r = 0.40, p = 0.004, n = 51; Figure 33). As a result of the correlation our hypothesis of increasing 222Rn activity with increasing resist ivity is supported in this zone (Figure 33). However, the linear relationship within our hypothesis is not supported.

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50 Figure 32: Line 3 overlying thermal im age with starting and ending linear distances labeled in meters. 222Rn data points shown as black stars. End of dredged channel at 6000m along line marked with arrow. Resistivity profile is shown in Figure 34. First two radon points (within West Pass) were used in Estuary Zone calculations. 0 10 20 30 40 50 60 70 80 90 0.1110222Rn (dpm/L) Figure 33: Resistivity at 5m below sediment surface vs. 222Rn for Offshore Zone data collected in March 2005 (r = 0.40, p = 0.004, n = 51). Data along line 3 are shown in Figure 32 Resistivity at 5m below sediment surface ( m)

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51 Throughout the offshore zone radon values are elevated compared to normal seawater. However, zones of relatively highe r subsurface resistivities that exist do not coincide with specific points of elevated 222Rn activity. A very sharp geochemical gradient (12 dpm/L per km 222Rn; compared to the smaller geochemical gradient in East Pass of 8 dpm/L per km 222Rn) lies offshore of West Pass, and extends ~3km offshore (Figure 34). 222Rn values diminish to a relatively uniform level ~3km offshore. High 222Rn levels may extend farther along the line than corresponding CH4 readings due to data co llection starting at high 222Rn activities and the RAD7 systems becoming saturated with respect to 222Rn. Also within the portions of line 3 that run in a dredged boating channel (121-6000km) resis tivity data are clearly noisy at 1400m (Figure 34). Beyond the channel, both 222Rn and resistivity are relatively uniform. The anomalously resistive area on line 7, from ~4300-4400m along the line (Figures 35-36) may be, at least in part, an i nversion artifact associated with a gap in data probably due to a short period of increased boat speed. It should be noted that re sistivity inversions show resistivities consistently increasing with depth 3-4m below the seafloor Perhaps in this area the discharge of fresher groundwater is too diffuse at the surface to contribute to a strong tracer or resistivity response, but does l ead to an increase in overall tracer activity relative to normal seawater. These observations are compatible with a freshwater lens that extends offshore beneath the seafloor. The lens is shallower, and fresher, cl oser to shore (lines 10-12 & 14-15). The top of the lens is somewhat deep er (~3-4m below seafloor) on the lines ~3km offshore. We note that some of the differe nce between near shore and offshore lines may

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52 be due to seasonal variability (near shore co llected in September 2005; offshore collected in March 2005). However, a small segment of resistivity profiles were collected during both surveys. Interestingly, this segment s hows higher pore water resi stivities in the dry season, the opposite of that which would e xplain the difference between near and offshore data. Entire offshore zone summary Where thermal image data exists, our hypothesis of increasing thermal image temperature with increasing 222Rn activity is not supported. The image did detect a large plume of warm water discharging from East Pass, but no smaller scale features reflective of SGD were located. Although no specific points of high 222Rn activity were present in this zone correlations between the log of resistivity and 222Rn supported our hypothesis of increasing resistivity with increasing 222Rn activity. Large areas of relatively higher resistivity corresponded to elevated 222Rn levels possibly due to diffuse seepage throughout the zone. However, the relationship between 222Rn and the log of resistivity is more complicated than originally thought due to varying amounts of 222Rn within a small range of salinity. As a result the linear a ssumption in our hypothe sis is not supported.

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53 Figure 34: Line 3 resistivity profil e (bottom) along with geochemical (2nd from bottom), thermal image temperature and salinity (3rd from bottom) and water temperature data measured at time of profile (top). Note pres ence of fresh/salt water interface in surface waters from 0-3000m along line. White line in re sistivity profile repres ents seafloor. For map of line see Figure 32. From 121m to ~ 3000m line 3 is located within West Pass, the rest is offshore. At ~6000m line exits dre dged channel and turns south (dashed line)

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54 Figure 35: Line 7 overlying corner of thermal image with starting and ending linear distances labeled in meters. 222Rn data points shown as bl ack stars. Resistivity profile shown in Figure 36

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55 Figure 36: Line 7 resistivity profile (botto m), along with geochemi cal (middle), salinity and water temperature data measured at time of profile (top). High resistivity area past 4000m along line is probably an inversion arti fact not related to SGD. White line in resistivity profile represents seafl oor. For map of line see Figure 35

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56 CONCLUSIONS Elevated levels of both natura lly occurring geochemical tracers 222Rn and CH4 are detected in both wet and dry seasons th roughout the lower Suwannee River and estuary and up to 3 km offshore. The dominant trace r variations within the study area are (1) a downriver gradient (8 dpm/L per km 222Rn) in the lower river believed to reflect primarily a large single input at Manatee Sp rings, and (2) a sharp drop off (12 dpm/L per km 222Rn) just offshore of the mouth of the river. In this study we test the hypotheses that thermal image temperatures and terrain resistivities locally increase where elevated tracer levels are observed, as would be expected if submarine groundwat er discharge contributes stro ngly to these signals. The combined data sets collect ed in March and September 2005 support these hypotheses. However, there are plausible mechanisms for these regional scale relationships that do not involve local SGD. First, offshore waters may be colder than riverine waters and lower in radon activity for r easons unrelated to local SGD patterns (e.g. wind, more water column mixing, greater water depth). Second, a large radon gradient along the river is believed to be associated with Manatee Spri ng discharge further upriver, and happens to overlie the resistivity gradient associated with the freshwater/saltwater interface. At smaller scales with regional tr ends removed, there are no significant correlations between surface water temperatures and tracer measurements. This lack of

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57 correlation is due at least in part to significant flight line edge effects. Based on the thermal images, we recognize with confidence only one potential hot spot, located within the estuary zone at the head of Barnett Creek Correlations between log resistivity a nd radon computed over river channel, estuary, and offshore subsets of the data are significant only for the offshore environment, after correcting for regional tr ends. Although systematic correlations are not found in the river channel a nd estuary settings, subject examination of the data sets on a smaller scales reveals local tracer highs in both the main river channel (line 19), and estuary zones (line 9 and 17) that may repr esent locally enhanced SGD or influx from spring-fed tributaries. It is worth noting that while the marine streaming resistivity surveys proved only moderately useful for identifyi ng zones of SGD, this technique was excellent for imaging the freshwater/saltwater interface both in the po re waters and in surface waters. On a regional scale, the resistivity data indicate a shallow lens of fresher pore waters extending offshore to the extent of surveys, some 3 km offshore. Because these areas also show elevated 222Rn relative to seawater, it may be po ssible that diffuse upward discharge of fresher groundwater is the cau se of both signals. However, without drilling, which is beyond the scope of this project, we cannot une quivocally determine whether the increase in resistivity with depth observed offshore is a pore water or lithologic effect. On the whole, this study indicates that streaming marine resistivity and thermal imagery can be valuable tools for identifying regional variations in pore water salinity and surface water temperatures. But the lack of consistently clear corr elations with tracer highs on smaller scales shows these either of these techniques in itself is not a reliable

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58 indicators of smaller (meters to 100’s of meters) zones of concentrated SGD in the Suwannee area. Finally, the results of this study indicate that care needs to be taken during data acquisition with the methods described. The most accurate measurements of 222Rn activity occurred while traveling from low to high activities. Measurements in the opposite direction were less reliab le due to system saturation Interpretation of thermal imagery was severely limited by several sources of noise. Flight line edge effects, readily apparent as high temperature anomalies on the margins of track lines, along with inconsistent temperature readings from imag e to image were the main reasons for the lack in data quality. Improved acquisition and processing of thermal images, beyond the scope of this study, is clearly desirable. Inve rsions of streaming re sistivity data show a few locally unrealistic highs in isolated z ones, the origins of which could not be discerned in the field.

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59 REFERENCES Banks, W. S. L., R. L. Paylor, et al. (1996). "Using Thermal-Infrared Imagery to Delineate Ground-Water Discharge." Ground Water 34 (3): 434-443. Bokuniewicz, H., M. Pollock, et al. (2004) "Submarine Ground Water Discharge and Salt Penetration Across the Sea Floor." Ground Water 42 (7): 983-989. Bugna, G. C., J. P. Chanton, et al. (1996). "The importance of gr oundwater discharge to the methane budgets of nearshore and contin ental shelf waters of the northeastern Gulf of Mexico." Geochimica et Cosmochimica Acta 60 (23): 4735-4746. Burnett, W. C., J. B. Cowart, et al. (1990) "Radium in the Suwannee River and Estuary: Spring and River Input to the Gu lf of Mexico." Biogeochemistry 10 (3): 237-255. Burnett, W. C., G. Kim, et al. (2001). "A continuous monitor for assessment of 222Rn in the coastal ocean." Journal of Radioanalytical and Nuclear Chemistry 249 (1): 167-172. Burnett, W. C. and H. Dulaiova (2003). "E stimating the dynamics of groundwater input into the coastal zone via continuous radon-222 measurements." Journal of Environmental Radioactivity 69 : 21-35. Cable, J. E., G. C. Bugna, et al. (1996). "Aplication of Rn222 and CH4 for Assessment of Groundwater Discharge to the Coasta l Zone." Limnology and Oceanography 41 (6): 1347-1353. Cable, J. E., J. B. Martin, et al. (2004). "Advection Within Shallow Pore Waters of a Coastal Lagoon, Florida." Ground Water 42 (7): 1011-1020. Campbell, W. C., M. A. El Latif, et al. (1996). "Application of Thermography to Karst Hydrology." Journal of Cave and Karst Studies 58 (3): 163-167. Corbett, D. R., K. Dillon, et al. (2000). "E stimating the Groundwat er Contribution into Florida Bay via Natural Tracers 222Rn and CH4." Limnology and Oceanography 45 (7): 1546-1557. Cowart, J. B. and W. C. Burnett (1994). "The Distribution of Uranium and Thorium Decay-Series Radionuclides in the Envi ronment A Review." Journal of Environmental Quality 23 (July-August): 651-662.

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60 Countryman, R. A. (1997). Geophysical Delin eation of the Position of the Saltwater Interface in the Lower Suwannee River Ba sin. M.S. Thesis, University of South Florida : 524. Dulaiova, H., R. Peterson, et al. (2005) "A multi-detector continuous monitor for assessment of Rn222 in the coastal ocea n." Journal of Radioanalytical and Nuclear Chemistry 263 (2): 361-365. Fanning, K. A., J. A. Breland, et al. ( 1982). "Radium-226 and Radon-222 in the Coastal Waters of West Florida: High Concen trations and Atmospheric Degassing." Science 215 (4533): 667-670. Gregg, L. T., and J. J. Holmes (1990). Ra don Detection and Measurement in Soil and Groundwater. Geotechnical and Environmental Geophysics S.H. Ward. Tulsa, OK, Society of Exploration Geophysicists. 1 : 251-262. Keller, G. V. and F. C. Frischknecht (1966). Electrical Methods In Geophysical Prospecting, Pergamon Press. Loper, D.E., C.L. Werner, et al. (2005), “Coa stal Carbonate Aquifer Sensitivity to Tides.” EOS, Transactions, American Geophysical Union 86 (39): 353-364 Manheim, F. T., D. E. Krantz, et al. ( 2004). "Studying Ground Water Under Delmarva Coastal Bays Using Electrical Resistivity." Ground Water 42 (7): 1052-1068. Martin, J. B., J. E. Cable, et al. (2004) "Enhanced Submarine Groune Water Discharge from Mixing of Pore Water and Estuarine Water." Ground Water 42 (7): 10001010. Moore, W. S. (1999). "The subterranean estu ary: a reaction zone of ground water and sea water." Marine Chemistry 65 : 111-125. Moore, W. S., J. Krest, M., et al. (2002). "Thermal evidence of water exchange through a coastal aquifer: Implications for nutri ent fluxes." Geophysical Research Letters 29 (14): 49-1-49-4. Portnoy, J. W., B. L. Nowicki, et al. (1998) "The discharge of nitrate-contaminated groudwater from developed shoreline to marsh-fringed estuary." Water Resources Research 34 (11): 3095-3104. Reynolds, J. M. (1997). An Introduction to A pplied and Environmental Geophysics. West Sussex, John Wiley & Sons Ltd. Rutkowski, C. M., W. C. Burnett, et al. (1999). "The Effect of Groundwater Seepage on Nutrient Delivery and Seagrass Distribution in the Northeastern Gulf of Mexico." Estuaries 22 (4): 1033-1040.

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61 Scott, T. M., G. H. Means, et al. (2004). Sp rings of Florida, Flor ida Geological Survey Bulletin 66 : 377. Stonehouse, D. (2005). "Thermal Infrare d Mapping Proposal." VeriMap Inc. Plus : 30. Swarzenski, P., B. Burnett, et al. (2004) Novel geophysical and geochemical techniques used to study submarine groundwater disc harge in Biscayne Bay, Florida, U.S. Geological Survey Fact Sheet 2004-3117 : 4. Taniguchi, M., T. Ishitobi, et al. (2005). "Evaluation of Time-Space Distributions of Submarine Groundwater Disharge." Ground Water 43 (3): 336-342. Tillis, G.M. (2000). Flow and Salinity Char acteristics of the Upper Suwannee River Estuary, Florida. Tallahassee, FL, Wate r Resources Investigations Report 994268. U.S. Geological Survey: 40. Urdan, T.C. (2001). Statis tics in Plain English Mahwah, Lawrence Erlbaum Associates, Inc.

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62 Appendices

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63 Appendix 1: Resistivity prof iles not discussed in text

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64 Appendix 1 (Continued)

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65 Appendix 1 (Continued)

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66 Appendix 1 (Continued)

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67 Appendix 2: Raw data for all lines collected a meth wtemp salinity long2 lat2 ld Rn Rn un Res at 5m Res at 10m Res at 15mImage templine 15:32:15 2.223 26.22 0.18 -83.1365 29.3234 162.2 1.5126 1.522 1.5256 15.25 SUW18 15:32:35 2.241 26.22 0.18 -83.1363 29.3233 175.45 1.2405 1.3529 1.4365 15.5 SUW18 15:32:55 2.254 26.22 0.18 -83.1361 29.3233 197.3 0.9612 1.1137 1.2237 15.75 SUW18 15:33:15 2.237 26.22 0.18 -83.1359 29.3232 220.5 0.87438 1.2246 1.4122 15.75 SUW18 15:33:35 2.272 26.23 0.18 -83.1356 29.3231 243.45 1.0499 1.3004 1.4093 15.75 SUW18 15:33:55 2.245 26.23 0.18 -83.1354 29.323 267 1.0629 1.1695 1.2454 15 SUW18 15:34:15 2.24 26.23 0.18 -83.1352 29.3229 290.45 0.92146 1.2882 1.3981 15 SUW18 15:34:35 2.245 26.23 0.18 -83.135 29.3228 313.4 0.95551 1.0876 1.1762 14.5 SUW18 15:34:55 2.254 26.23 0.18 -83.1348 29.3228 335.8 88.811 1.861 0.88185 0.95828 1.03 14.75 SUW18 15:35:15 2.254 26.23 0.18 -83.1346 29.3227 359.05 1.0887 1.3431 1.4059 16 SUW18 15:35:35 2.214 26.23 0.18 -83.1343 29.3227 382.2 0.99304 1.2453 1.2654 15 SUW18 15:35:55 2.245 26.23 0.18 -83.1341 29.3226 406.85 0.81658 1.0906 1.2157 15.5 SUW18 15:36:15 2.237 26.23 0.18 -83.1338 29.3225 431.85 0.96918 1.2353 1.2317 14.75 SUW18 15:36:35 2.258 26.25 0.18 -83.1336 29.3225 454.2 0.86649 1.0722 1.1298 15.25 SUW18 15:36:55 2.245 26.24 0.18 -83.1334 29.3223 477.9 0.77617 1.1712 1.1953 15.25 SUW18 15:37:15 2.263 26.24 0.18 -83.1332 29.3222 503.3 0.89456 1.2053 1.2775 16.25 SUW18 15:37:35 2.268 26.23 0.18 -83.133 29.3221 524 1.1576 0.81379 0.68726 16.5 SUW18 15:37:55 2.237 26.24 0.18 -83.1329 29.322 546.45 0.8849 0.94811 0.62898 16 SUW18 15:38:15 2.254 26.23 0.18 -83.1327 29.3219 568.9 1.1242 1.1149 0.74034 15.75 SUW18 15:38:35 2.254 26.22 0.18 -83.1325 29.3217 595.1 1.0274 1.0563 0.91237 16.25 SUW18 15:38:55 2.237 26.24 0.18 -83.1323 29.3216 617.3 1.1779 1.0666 1.1444 16 SUW18 15:39:15 2.223 26.23 0.18 -83.1321 29.3214 643.7 1.0819 0.81229 0.80454 16 SUW18 15:39:35 2.263 26.23 0.18 -83.132 29.3213 665 1.2949 0.94242 0.78495 15.75 SUW18 15:39:55 2.237 26.24 0.18 -83.1319 29.3211 686.95 0.85209 1.0886 0.78915 16.25 SUW18 15:40:15 2.237 26.24 0.18 -83.1317 29.321 709.35 1.2384 0.697 0.63756 16 SUW18 15:40:35 2.223 26.25 0.18 -83.1315 29.3209 734.4 0.88041 0.79073 0.90254 16.5 SUW18 15:40:55 2.227 26.24 0.18 -83.1313 29.3207 755.8 1.1144 0.72666 0.62388 16 SUW18 15:41:15 2.219 26.23 0.18 -83.1311 29.3206 780.3 1.1194 0.81949 0.7051 16 SUW18 15:41:35 2.228 26.23 0.18 -83.1309 29.3205 806.35 0.97859 0.86307 0.83782 16 SUW18 15:41:55 2.254 26.22 0.18 -83.1307 29.3204 826.35 1.0608 0.72644 0.60922 16.25 SUW18 15:42:15 2.268 26.22 0.18 -83.1305 29.3202 851 1.1027 0.96349 0.8694 16.375 SUW18 15:42:35 2.268 26.24 0.18 -83.1304 29.3201 873.1 1.1321 0.94848 0.84735 16.25 SUW18 15:42:55 2.25 26.25 0.18 -83.1302 29.32 898.55 1.0515 1.0416 1.0434 16 SUW18 15:43:15 2.241 26.23 0.18 -83.13 29.3198 921.8 1.1722 0.90114 0.73315 16.25 SUW18 15:43:35 2.228 26.23 0.18 -83.1298 29.3198 944.05 1.1051 0.94495 0.91258 16 SUW18 15:43:55 2.228 26.23 0.18 -83.1295 29.3197 967.05 1.3299 1.1844 0.99739 15.5 SUW18 15:44:15 2.245 26.25 0.18 -83.1293 29.3196 990.75 1.1943 0.88119 0.7323 16 SUW18 15:44:35 2.232 26.24 0.18 -83.1291 29.3196 1013.95 1.422 0.9409 0.8107 16.5 SUW18 15:44:55 2.201 26.24 0.18 -83.1289 29.3195 1036.35 97.646 1.956 1.3039 0.90681 0.84317 16.5 SUW18 15:45:15 2.254 26.3 0.18 -83.1286 29.3194 1060.15 1.1249 0.88488 0.76684 15.75 SUW18 15:45:35 2.237 26.32 0.18 -83.1284 29.3194 1082 0.80558 1.0536 0.87629 16.25 SUW18 15:45:55 2.237 26.35 0.19 -83.1282 29.3193 1104.9 0.79275 1.1301 1.103 16.75 SUW18 15:46:15 2.254 26.4 0.18 -83.128 29.3192 1128.6 0.87765 0.99156 0.96432 16.25 SUW18 15:46:35 2.254 26.4 0.18 -83.1278 29.3191 1150 0.78788 1.1918 1.1768 16.5 SUW18 15:46:55 2.268 26.57 0.18 -83.1276 29.319 1171.65 0.7323 0.85154 1.008 16.75 SUW18 15:47:15 2.228 26.73 0.18 -83.1274 29.319 1195.45 0.76154 0.60239 0.81034 16.75 SUW18

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68 Appendix 2 (Continued) 15:47:36 2.246 26.52 0.18 -83.1272 29.3189 1216.7 1.2397 0.72126 0.79094 16.75 SUW18 15:47:56 2.259 26.72 0.18 -83.127 29.3188 1239.2 0.95461 0.87939 0.78789 16.75 SUW18 15:48:16 2.259 26.84 0.18 -83.1268 29.3187 1263.95 1.0431 0.73905 0.6944 17 SUW18 15:48:36 2.237 26.88 0.18 -83.1265 29.3187 1285.2 1.0745 0.91841 1.0328 16.75 SUW18 15:48:56 2.272 26.98 0.18 -83.1263 29.3186 1306.75 1.3587 0.74512 0.5526 16.75 SUW18 15:49:16 2.254 26.68 0.18 -83.1261 29.3186 1332 1.5143 0.75504 0.63115 16.5 SUW18 15:49:36 2.233 26.44 0.17 -83.1259 29.3185 1354.25 1.4121 0.93318 0.84457 16.25 SUW18 15:49:56 2.258 26.4 0.17 -83.1256 29.3184 1378.6 1.1085 0.86265 0.84819 16.25 SUW18 15:50:16 2.254 26.38 0.17 -83.1254 29.3184 1401.1 1.589 1.3064 1.3116 16.25 SUW18 15:50:36 2.272 26.37 0.17 -83.1252 29.3183 1424 1.1904 1.1096 1.1235 17.25 SUW18 15:50:56 2.268 26.38 0.17 -83.125 29.3183 1444.9 1.299 1.0729 0.78702 16.75 SUW18 15:51:16 2.254 26.36 0.17 -83.1248 29.3182 1468.9 1.0696 0.78926 0.73135 17.25 SUW18 15:51:36 2.259 26.37 0.17 -83.1245 29.3181 1493.4 0.63968 0.91673 1.1436 17.625 SUW18 15:51:56 2.263 26.36 0.17 -83.1243 29.3181 1516.1 0.88803 1.4277 1.525 18.125 SUW18 15:52:16 2.25 26.36 0.17 -83.1241 29.318 1540.6 0.95696 1.1375 1.1875 17.625 SUW18 15:52:36 2.254 26.36 0.17 -83.1239 29.3179 1564.05 0.71645 0.97279 1.1101 17.5 SUW18 15:52:56 2.281 26.36 0.17 -83.1236 29.3179 1584.95 0.93069 1.0458 1.2653 17.625 SUW18 15:53:16 2.263 26.36 0.17 -83.1234 29.3178 1607.35 0.62221 0.89045 1.2859 17.25 SUW18 15:53:36 2.276 26.35 0.17 -83.1232 29.3178 1631.35 0.82972 1.0422 1.3447 17.5 SUW18 15:53:56 2.263 26.36 0.17 -83.123 29.3178 1654.7 1.1012 0.77035 0.70025 17.625 SUW18 15:54:16 2.281 26.35 0.17 -83.1227 29.3177 1676.3 1.0448 0.64325 0.83818 16.75 SUW18 15:54:36 2.232 26.35 0.17 -83.1225 29.3177 1701 1.1831 0.88734 0.86067 17 SUW18 15:54:56 2.258 26.36 0.17 -83.1222 29.3177 1724.35 108.1682.061 1.8612 1.1376 0.71786 17.25 SUW18 15:55:16 2.276 26.36 0.17 -83.122 29.3176 1748.15 1.2272 0.89729 0.86568 16.75 SUW18 15:55:36 2.254 26.35 0.17 -83.1218 29.3176 1770.9 1.3393 1.0006 0.83669 17.5 SUW18 15:55:56 2.24 26.34 0.17 -83.1216 29.3175 1790.95 1.2743 1.0636 0.93407 16.75 SUW18 15:56:16 2.214 26.35 0.18 -83.1214 29.3174 1814.75 1.6157 1.5036 1.5145 16 SUW18 15:56:36 2.268 26.36 0.17 -83.1212 29.3173 1837.05 1.0277 1.0998 1.1256 16.75 SUW18 15:56:56 2.24 26.36 0.17 -83.121 29.3173 1859.35 1.0941 1.0834 1.22 16 SUW18 15:57:16 2.258 26.35 0.18 -83.1207 29.3172 1885.2 1.4541 1.4809 1.3636 16.5 SUW18 15:57:36 2.262 26.3 0.17 -83.1205 29.3172 1904.9 1.181 1.2059 1.0716 16.25 SUW18 15:57:56 2.258 26.29 0.17 -83.1203 29.3171 1930.5 1.508 1.5571 1.4638 16.25 SUW18 15:58:16 2.25 26.28 0.18 -83.1201 29.317 1952.85 1.7721 1.4876 1.3468 16.5 SUW18 15:58:36 2.245 26.28 0.18 -83.1198 29.317 1974.45 1.4595 1.1455 1.0175 17 SUW18 15:58:56 2.232 26.3 0.18 -83.1196 29.317 1997 1.7477 1.6895 1.6647 16 SUW18 15:59:16 2.276 26.29 0.18 -83.1194 29.317 2019.15 1.7994 1.6388 1.3092 16.25 SUW18 15:59:36 2.223 26.26 0.18 -83.1192 29.317 2039.75 1.8788 1.4823 1.4173 15.25 SUW18 15:59:56 2.262 26.3 0.18 -83.1189 29.317 2063.85 2.1436 1.2378 1.0871 15.5 SUW18 16:00:16 2.263 26.27 0.18 -83.1187 29.317 2084.3 1.4121 1.6662 1.5927 15.5 SUW18 16:00:36 2.272 26.22 0.18 -83.1185 29.3169 2108.45 1.175 0.96331 0.97154 15.5 SUW18 16:00:56 2.267 26.3 0.18 -83.1183 29.3169 2129.45 0.69031 1.0788 1.5628 15.25 SUW18 16:01:16 2.258 26.3 0.18 -83.118 29.3169 2151.95 1.4268 1.2195 15.5 SUW18 16:01:36 2.24 26.31 0.18 -83.1178 29.3168 2173.9 1.4178 1.554 15.5 SUW18 16:01:56 2.276 26.24 0.18 -83.1176 29.3168 2195.35 1.0047 1.0419 14.75 SUW18 16:02:16 2.276 26.28 0.18 -83.1174 29.3168 2215.1 1.4643 1.1444 15.25 SUW18 16:02:36 2.29 26.21 0.18 -83.1172 29.3168 2236.05 1.3098 1.086 14.75 SUW18 16:02:56 2.281 26.33 0.18 -83.117 29.3168 2256.8 0.9176 1.4543 15.25 SUW18

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69 Appendix 2 (Continued) 16:03:16 2.245 26.33 0.18 -83.1168 29.3168 2279.8 0.61339 0.67106 15.25 SUW18 16:03:36 2.236 26.33 0.17 -83.1166 29.3168 2298.65 1.1257 1.4692 16 SUW18 16:03:56 2.245 26.3 0.17 -83.1164 29.3169 2316.25 1.1902 1.5169 15.5 SUW18 16:04:16 2.245 26.34 0.17 -83.1162 29.3169 2336.25 1.2775 1.2074 16.25 SUW18 16:04:36 2.258 26.2 0.17 -83.116 29.317 2356.15 1.1028 0.73148 15.5 SUW18 16:04:56 2.249 26.19 0.17 -83.1158 29.317 2379 110.4 2.078 1.1518 1.5099 15.5 SUW18 16:05:16 2.267 26.19 0.17 -83.1156 29.317 2400.1 0.87085 2.3104 15.25 SUW18 16:05:36 2.272 26.2 0.17 -83.1153 29.317 2424.15 1.4207 1.0399 15.5 SUW18 16:05:56 2.258 26.19 0.17 -83.1151 29.3169 2446.8 1.7161 1.6649 16 SUW18 16:06:16 2.285 26.2 0.17 -83.1148 29.317 2472.8 1.0747 1.5064 15.75 SUW18 16:06:36 2.249 26.19 0.17 -83.1145 29.3171 2502.05 2.3551 1.6726 16 SUW18 16:06:56 2.235 26.18 0.17 -83.1143 29.3172 2530.2 1.3694 1.6319 16.5 SUW18 16:07:16 2.244 26.18 0.17 -83.1141 29.3174 2558.45 3.663 2.6881 16.75 SUW18 16:07:35 2.248 26.19 0.17 -83.1139 29.3176 2588.2 2.7558 2.2466 16.5 SUW18 16:07:56 2.239 26.18 0.17 -83.1138 29.3179 2621.05 1.1013 0.64461 16.5 SUW18 16:08:16 2.243 26.18 0.17 -83.1136 29.3181 2653.8 0.70636 16.25 SUW18 16:08:36 2.225 26.18 0.17 -83.1135 29.3184 2682.3 1.3972 16.5 SUW18 16:08:56 2.234 26.18 0.17 -83.1134 29.3187 2715.25 2.3513 2.0056 17.25 SUW18 16:09:16 2.234 26.18 0.17 -83.1133 29.3189 2747.45 1.567 1.2854 17.875 SUW18 16:09:36 2.216 26.19 0.17 -83.1132 29.3192 2775.55 1.0912 1.8073 17.25 SUW18 16:09:56 2.22 26.19 0.17 -83.1132 29.3195 2805.55 2.3242 2.1854 2.2417 17.5 SUW18 16:10:16 2.234 26.18 0.17 -83.1132 29.3197 2830.65 1.9994 1.7327 1.7885 17 SUW18 16:10:36 2.23 26.17 0.17 -83.1132 29.3199 2856.7 1.4818 1.0843 1.2159 17 SUW18 16:10:56 2.239 26.17 0.17 -83.1132 29.3202 2882.65 1.7764 1.3936 1.3875 17.25 SUW18 16:11:16 2.261 26.17 0.17 -83.1132 29.3204 2907.7 3.1341 1.4385 0.96458 17.5 SUW18 16:11:36 2.226 26.18 0.17 -83.1132 29.3206 2932.15 2.3805 2.2619 1.77 17.5 SUW18 16:11:56 2.257 26.19 0.17 -83.1132 29.3208 2956.8 1.4524 1.2744 0.98229 16.75 SUW18 16:12:16 2.226 26.17 0.17 -83.1131 29.321 2980.75 1.6435 1.2289 1.2675 16.75 SUW18 16:12:36 2.231 26.18 0.17 -83.1131 29.3212 3006.15 2.1243 1.5458 1.2029 16.75 SUW18 16:12:56 2.244 26.18 0.17 -83.1131 29.3214 3026.6 1.4608 1.2468 1.1304 17 SUW18 16:13:16 2.257 26.19 0.17 -83.113 29.3217 3052.25 3.1926 1.6798 1.29 16.75 SUW18 16:13:36 2.262 26.19 0.17 -83.1129 29.3219 3075.75 2.2589 2.2592 2.0347 16.5 SUW18 16:13:56 2.239 26.18 0.17 -83.1129 29.3221 3099.7 2.2341 2.063 1.8415 16.5 SUW18 16:14:16 2.262 26.18 0.17 -83.1129 29.3223 3122.8 2.4395 2.1222 2.3026 16.5 SUW18 16:14:36 2.235 26.17 0.17 -83.1128 29.3225 3147.6 2.6747 2.3102 2.1 16.25 SUW18 16:14:56 2.257 26.17 0.17 -83.1128 29.3227 3168.95 110.0882.08 2.3829 2.0913 1.775 16.75 SUW18 16:15:16 2.248 26.17 0.17 -83.1127 29.3229 3197.15 2.8623 1.8201 1.3779 16.75 SUW18 16:15:36 2.244 26.17 0.17 -83.1126 29.3231 3218.85 3.444 2.5161 1.8719 16.5 SUW18 16:15:56 2.235 26.17 0.17 -83.1125 29.3233 3242.9 2.6018 2.0521 1.7598 16.5 SUW18 16:16:16 2.248 26.17 0.17 -83.1124 29.3235 3267.55 1.5189 1.8987 1.7555 16.5 SUW18 16:16:36 2.253 26.18 0.17 -83.1123 29.3237 3290.85 2.1713 1.7771 1.5483 16.5 SUW18 16:16:56 2.227 26.17 0.17 -83.1122 29.3239 3314.75 2.0387 1.8928 1.4486 15.75 SUW18 16:17:16 2.227 26.18 0.17 -83.1121 29.324 3339.05 1.2795 2.1965 2.2112 15.75 SUW18 16:17:36 2.267 26.17 0.17 -83.112 29.3242 3363.25 2.1699 2.0991 2.5444 15.25 SUW18 16:17:56 2.244 26.17 0.17 -83.1118 29.3244 3385.25 2.7585 2.3724 2.507 16.75 SUW18 16:18:16 2.227 26.17 0.17 -83.1117 29.3246 3410.9 1.7443 1.8382 16.75 SUW18 16:18:36 2.267 26.17 0.17 -83.1115 29.3247 3432.95 2.1522 3.0825 3.8548 16.5 SUW18

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70 Appendix 2 (Continued) 16:18:56 2.249 26.18 0.17 -83.1113 29.3249 3457.4 2.545 2.5711 16.75 SUW18 16:19:16 2.267 26.16 0.17 -83.1111 29.325 3479.85 1.301 1.4158 17 SUW18 16:19:36 2.249 26.17 0.17 -83.111 29.3251 3503.2 1.8084 2.2504 14.125 SUW18 16:19:56 2.267 26.17 0.17 -83.1107 29.3252 3525.65 1.9065 2.3723 13.875 SUW18 16:20:16 2.244 26.17 0.17 -83.1106 29.3252 3547.65 1.6233 2.8492 13.875 SUW18 16:20:36 2.276 26.17 0.17 -83.1103 29.3253 3569.45 2.0339 2.7976 13.375 SUW18 16:20:56 2.258 26.18 0.17 -83.1102 29.3254 3590.25 1.1986 2.0489 13.875 SUW18 16:21:16 2.248 26.17 0.17 -83.1099 29.3255 3613.35 1.146 2.3054 14.25 SUW18 16:21:36 2.249 26.18 0.17 -83.1097 29.3255 3632.75 1.2597 2.5245 14.5 SUW18 16:21:56 2.236 26.18 0.17 -83.1095 29.3255 3652.25 2.3482 3.3291 14.25 SUW18 16:22:16 2.254 26.17 0.17 -83.1093 29.3255 3672.75 2.9218 3.1314 14.5 SUW18 16:22:36 2.262 26.17 0.17 -83.1091 29.3255 3691.85 2.276 2.9732 14.25 SUW18 16:22:56 2.267 26.18 0.17 -83.1089 29.3254 3712.2 2.0474 2.1807 14.125 SUW18 16:23:16 2.254 26.18 0.17 -83.1087 29.3254 3733.3 2.2388 2.3852 14.5 SUW18 16:23:36 2.244 26.17 0.17 -83.1084 29.3254 3759.4 1.2226 2.2413 14.5 SUW18 16:23:56 2.258 26.17 0.17 -83.1082 29.3254 3784.15 1.072 1.764 14.25 SUW18 16:24:16 2.258 26.17 0.17 -83.108 29.3255 3807.35 1.6302 2.1368 14.5 SUW18 16:24:36 2.281 26.16 0.17 -83.1077 29.3255 3829.9 2.8958 3.2592 14.25 SUW18 16:24:56 2.258 26.16 0.17 -83.1075 29.3255 3857.05 110.6592.088 3.9644 5.3908 14.75 SUW18 16:25:16 2.294 26.16 0.17 -83.1072 29.3256 3882.25 5.0775 5.3999 15.875 SUW18 16:25:36 2.276 26.16 0.17 -83.1069 29.3256 3907.8 4.5518 9.8613 15.25 SUW18 16:25:56 2.262 26.16 0.17 -83.1067 29.3256 3934 5.7547 6.728 15 SUW18 16:26:16 2.304 26.16 0.17 -83.1064 29.3256 3958.55 4.7264 5.2545 15.625 SUW18 16:26:36 2.254 26.16 0.17 -83.1062 29.3256 3985.15 4.4782 7.8694 15.625 SUW18 16:26:56 2.285 26.17 0.17 -83.1059 29.3257 4011.4 3.1764 5.302 9.2585 16.125 SUW18 16:27:16 2.276 26.18 0.17 -83.1056 29.3257 4035.6 2.6613 4.5207 7.5803 16.125 SUW18 16:27:36 2.308 26.17 0.17 -83.1054 29.3258 4065.3 2.3206 2.9304 4.8753 16.125 SUW18 16:27:56 2.276 26.19 0.17 -83.1051 29.3258 4092.5 2.0832 6.3898 13.4926 16.125 SUW18 16:28:16 2.29 26.18 0.17 -83.1048 29.326 4119.9 4.1782 3.7036 15.625 SUW18 16:28:36 2.295 26.18 0.17 -83.1046 29.3261 4146.25 3.2447 4.6356 7.2922 16.25 SUW18 16:28:56 2.29 26.18 0.17 -83.1044 29.3262 4173.9 3.1681 4.66 15.875 SUW18 16:29:16 2.281 26.19 0.17 -83.1042 29.3264 4201.05 4.3538 6.5007 15.625 SUW18 16:29:36 2.268 26.18 0.17 -83.1039 29.3265 4225.65 4.8637 6.3659 16.875 SUW18 16:29:56 2.268 26.16 0.17 -83.1037 29.3266 4251.85 4.7517 5.7548 7.1412 17 SUW18 16:30:16 2.281 26.18 0.17 -83.1035 29.3268 4277.95 3.3522 5.0239 16.75 SUW18 16:30:36 2.299 26.17 0.17 -83.1034 29.327 4308.05 4.4169 5.7991 15.875 SUW18 16:30:56 2.268 26.15 0.17 -83.1033 29.3272 4334.75 3.7522 4.0819 17.5 SUW18 16:31:16 2.304 26.15 0.17 -83.1031 29.3274 4362.5 2.0112 2.3753 17.75 SUW18 16:31:36 2.281 26.15 0.17 -83.103 29.3277 4389.15 2.6206 3.4324 4.4433 17.75 SUW18 16:31:56 2.295 26.17 0.17 -83.103 29.3279 4416.75 2.7015 5.1377 7.9123 17.5 SUW18 16:32:16 2.286 26.15 0.17 -83.103 29.3282 4445.45 5.9788 9.0864 9.4714 16.625 SUW18 16:32:36 2.263 26.15 0.17 -83.1029 29.3284 4474.95 2.6475 7.5335 11.4633 16 SUW18 16:32:56 2.295 26.15 0.17 -83.1029 29.3287 4501 6.7808 7.9002 9.7283 16.25 SUW18 16:33:16 2.299 26.15 0.17 -83.1028 29.3289 4527.1 5.371 7.6692 16.5 SUW18 16:33:36 2.276 26.16 0.17 -83.1028 29.3291 4555.1 6.7141 10.3124 12.7716 16.5 SUW18 16:33:56 2.272 26.15 0.17 -83.1027 29.3293 4578.45 5.063 6.4985 8.3108 16.375 SUW18 16:34:16 2.263 26.17 0.17 -83.1026 29.3296 4605.9 3.8045 6.5116 9.3405 16.375 SUW18

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71 Appendix 2 (Continued) 16:34:36 2.276 26.16 0.17 -83.1025 29.3298 4633 2.2308 2.1357 3.7133 16 SUW18 16:34:56 2.254 26.16 0.17 -83.1024 29.33 4661.1 114.7042.128 2.8183 2.5312 2.4002 16.125 SUW18 16:35:16 2.25 26.16 0.17 -83.1023 29.3302 4688.65 2.9732 3.1979 3.1517 16.375 SUW18 16:35:36 2.268 26.19 0.17 -83.1022 29.3304 4712.65 3.1887 3.3987 4.2159 15.625 SUW18 16:35:56 2.272 26.18 0.17 -83.1021 29.3307 4741.05 3.6277 12.4877 14.8529 15.875 SUW18 16:36:16 2.254 26.15 0.17 -83.102 29.3309 4767.6 6.2985 3.914 5.3925 15.875 SUW18 16:36:36 2.241 26.16 0.17 -83.1019 29.3311 4796.45 4.0506 6.835 11.8021 16.5 SUW18 16:36:56 2.259 26.15 0.17 -83.1018 29.3314 4823.2 4.7421 7.1929 10.5867 16.125 SUW18 16:37:16 2.241 26.16 0.17 -83.1017 29.3316 4850.7 4.8902 6.2703 8.8983 16.25 SUW18 16:37:36 2.237 26.15 0.17 -83.1017 29.3318 4878.2 4.125 5.2881 7.7653 15.875 SUW18 16:37:56 2.259 26.15 0.17 -83.1016 29.3321 4908.85 4.8526 6.7932 9.9545 15.875 SUW18 16:38:16 2.245 26.14 0.17 -83.1016 29.3323 4936.35 4.6563 6.5226 10.0651 16.375 SUW18 16:38:36 2.237 26.17 0.17 -83.1015 29.3326 4962.05 3.5932 4.8567 8.0438 16.375 SUW18 16:38:56 2.25 26.15 0.17 -83.1015 29.3328 4992.4 4.8022 4.7668 7.7093 16.375 SUW18 16:39:15 2.241 26.15 0.17 -83.1014 29.333 5014.55 4.7832 5.6574 9.3952 15.625 SUW18 16:39:36 2.241 26.2 0.17 -83.1014 29.3333 5045.4 4.5472 6.3734 9.6822 15.625 SUW18 16:39:56 2.232 26.14 0.17 -83.1013 29.3335 5073 5.0104 6.7666 10.1288 15.625 SUW18 16:40:16 2.263 26.17 0.17 -83.1013 29.3337 5098.5 7.7618 8.5716 15.875 SUW18 16:40:36 2.268 26.21 0.17 -83.1013 29.334 5124 4.1449 7.0607 11.4057 15.25 SUW18 16:40:56 2.241 26.19 0.17 -83.1012 29.3342 5148.75 6.5224 7.3648 15.875 SUW18 16:41:16 2.241 26.17 0.17 -83.1012 29.3344 5175.55 9.0326 7.6549 15.375 SUW18 16:41:36 2.241 26.17 0.17 -83.1011 29.3346 5199 5.9258 6.7388 15.875 SUW18 16:41:56 2.25 26.18 0.17 -83.1011 29.3348 5224.7 7.6196 7.0615 15.625 SUW18 16:42:16 2.237 26.18 0.17 -83.101 29.3351 5250.85 6.6605 10.1133 15.25 SUW18 16:42:36 2.25 26.17 0.17 -83.1009 29.3352 5274.7 4.1632 5.7193 15.25 SUW18 16:42:56 2.237 26.17 0.17 -83.1008 29.3355 5301.9 4.0583 5.3221 15 SUW18 16:43:16 2.246 26.18 0.17 -83.1006 29.3356 5322.9 3.927 11.1289 15.25 SUW18 16:43:36 2.223 26.18 0.17 -83.1005 29.3358 5349 2.5834 2.9894 14.75 SUW18 16:43:56 2.25 26.17 0.17 -83.1004 29.336 5371.7 3.1064 5.1953 15 SUW18 16:44:17 2.25 26.17 0.17 -83.1003 29.3362 5396.9 5.4724 3.5973 14.25 SUW18 16:44:37 2.237 26.17 0.17 -83.1001 29.3364 5421.05 5.8827 3.6366 15 SUW18 16:44:57 2.228 26.16 0.17 -83.1 29.3365 5447.45 119.5442.172 5.292 8.1922 15.375 SUW18 16:45:17 2.268 26.16 0.17 -83.0998 29.3367 5471.2 7.3368 7.6268 15.375 SUW18 16:45:37 2.268 26.16 0.17 -83.0997 29.3369 5495 6.9216 6.4877 15.625 SUW18 16:45:57 2.237 26.16 0.17 -83.0995 29.337 5520.4 7.5057 7.071 15.25 SUW18 16:46:17 2.245 26.16 0.17 -83.0994 29.3371 5531.65 5.3164 5.8992 14.75 SUW18 16:46:37 2.241 26.16 0.17 -83.0992 29.3371 5547.15 4.1993 5.2784 15.375 SUW18 16:46:57 2.246 26.16 0.17 -83.0992 29.3371 5554.25 4.0333 5.5748 14.5 SUW18 16:47:17 2.185 26.17 0.17 -83.0991 29.3371 5559.35 5.2347 7.0399 15.25 SUW18 16:47:37 2.189 26.18 0.17 -83.099 29.3371 5569.35 7.0508 8.8164 15.375 SUW18 16:47:57 2.172 26.17 0.17 -83.0989 29.3371 5580.85 7.9352 8.3354 15.875 SUW18 16:48:17 2.168 26.19 0.17 -83.0987 29.3372 5609.35 9.9028 10.9291 15.625 SUW18 16:48:37 2.16 26.18 0.17 -83.0984 29.3372 5635.7 7.4222 7.1629 8.8993 15.375 SUW18 16:48:57 2.164 26.18 0.17 -83.0981 29.3373 5663.05 9.2206 6.6932 7.2249 15.75 SUW18 16:49:17 2.194 26.18 0.17 -83.0978 29.3373 5691.65 7.7021 6.4409 7.4402 16 SUW18 16:49:37 2.164 26.19 0.17 -83.0976 29.3373 5716.05 9.1445 9.4575 16.125 SUW18 16:49:57 2.143 26.18 0.17 -83.0973 29.3373 5743.6 8.935 9.531 16.75 SUW18

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72 Appendix 2 (Continued) 16:50:17 2.199 26.16 0.17 -83.097 29.3373 5772.15 11.3553 11.3355 16.125 SUW18 16:50:37 2.194 26.18 0.17 -83.0968 29.3372 5797.55 6.4466 9.0042 16.625 SUW18 16:50:57 2.172 26.17 0.17 -83.0965 29.3371 5825.8 7.6627 9.1277 16.125 SUW18 16:51:17 2.177 26.15 0.17 -83.0964 29.337 5850.8 10.212 10.1406 16.375 SUW18 16:51:37 2.193 26.15 0.17 -83.0962 29.3368 5877.6 6.0633 6.2982 16.5 SUW18 16:51:57 2.177 26.15 0.17 -83.096 29.3366 5904.65 11.394 8.9041 16.5 SUW18 16:52:17 2.223 26.17 0.17 -83.0959 29.3364 5929.7 11.8536 10.3658 16.5 SUW18 16:52:37 2.22 26.15 0.17 -83.0958 29.3362 5956.9 11.5606 11.3799 16 SUW18 16:52:57 2.211 26.15 0.17 -83.0957 29.336 5983.4 9.071 11.233 16.75 SUW18 16:53:17 2.25 26.15 0.17 -83.0957 29.3358 6007 9.463 12.0944 15.875 SUW18 16:53:37 2.25 26.15 0.17 -83.0957 29.3356 6031.1 9.121 12.4907 16.375 SUW18 16:53:57 2.246 26.16 0.17 -83.0956 29.3354 6054.1 9.6141 12.5456 15.375 SUW18 16:54:17 2.237 26.15 0.17 -83.0955 29.3351 6081.1 11.6372 14.3994 16.375 SUW18 16:54:37 2.259 26.17 0.17 -83.0954 29.335 6103.6 11.1431 14.5604 15.375 SUW18 16:54:57 2.246 26.16 0.17 -83.0953 29.3348 6128.5 121.1252.187 12.8191 15.4386 15.375 SUW18 16:55:17 2.264 26.16 0.17 -83.0951 29.3346 6154.35 13.6772 15.1608 16.125 SUW18 16:55:37 2.277 26.16 0.17 -83.095 29.3344 6175.5 9.9785 13.6953 15.625 SUW18 16:55:57 2.259 26.19 0.17 -83.0948 29.3343 6201.95 11.2933 14.2422 15.25 SUW18 16:56:17 2.291 26.18 0.17 -83.0947 29.3341 6227.5 14.4039 15.8861 14.75 SUW18 16:56:37 2.25 26.15 0.17 -83.0945 29.3339 6251 17.9767 19.5971 15.375 SUW18 16:56:57 2.277 26.16 0.17 -83.0944 29.3337 6257.1 15.25 SUW18 9:37:32 AM 2.123 25.85 0.18 -83.1355 29.32335 192.3 1.6636 1.599 1.5686 15.75 SUW19 9:37:42 AM 2.12 25.85 0.18 -83.1354 29.3233 195.65 1.6045 1.5889 1.5968 15 SUW19 9:37:52 AM 2.118 25.85 0.18 -83.1353 29.32323 208.3 1.3435 1.6134 1.643 15.25 SUW19 9:38:02 AM 2.099 25.85 0.18 -83.1352 29.3232 217.7 97.254 2.757 1.1891 1.6367 1.7022 15.5 SUW19 9:38:12 AM 2.115 25.86 0.18 -83.1351 29.32315 229.3 0.89857 1.2788 1.3019 15.5 SUW19 9:38:22 AM 2.12 25.86 0.18 -83.135 29.32312 238.85 0.93853 1.4446 1.3259 15.5 SUW19 9:38:32 AM 2.124 25.85 0.18 -83.1349 29.32307 250.1 0.92469 1.1832 1.189 15.5 SUW19 9:38:42 AM 2.127 25.85 0.18 -83.1348 29.32305 261.1 0.77791 1.1837 1.3011 15 SUW19 9:38:52 AM 2.127 25.85 0.18 -83.1347 29.323 269.7 0.79407 1.2931 1.3627 15.25 SUW19 9:39:02 AM 2.103 25.85 0.18 -83.1346 29.32298 282.65 0.7384 1.1443 1.2005 15.5 SUW19 9:39:12 AM 2.123 25.86 0.18 -83.1345 29.32293 293.25 0.98755 1.1285 1.1331 14.75 SUW19 9:39:22 AM 2.144 25.86 0.18 -83.1344 29.3229 303.25 1.175 1.3383 1.2339 15 SUW19 9:39:32 AM 2.144 25.85 0.18 -83.1343 29.32287 313.9 0.75831 0.94016 1.0099 15 SUW19 9:39:42 AM 2.144 25.85 0.18 -83.1342 29.32283 325.35 0.93724 1.1187 1.0074 15 SUW19 9:39:52 AM 2.115 25.85 0.18 -83.1341 29.32282 336.55 1.1282 0.90825 0.81169 15 SUW19 9:40:02 AM 2.127 25.84 0.18 -83.134 29.32278 347 0.93995 0.8452 0.68331 15 SUW19 9:40:12 AM 2.135 25.85 0.18 -83.1339 29.32277 358.05 0.96946 1.5216 1.3789 15.25 SUW19 9:40:22 AM 2.139 25.85 0.18 -83.1338 29.32272 367.45 0.63131 1.4603 1.8281 15.75 SUW19

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73 Appendix 2 (Continued) 9:40:32 AM 2.112 25.85 0.18 -83.1337 29.32268 378.05 1.01 1.3813 1.4713 15.5 SUW19 9:40:42 AM 2.123 25.85 0.18 -83.1336 29.32267 391.05 1.3246 0.9845 0.66657 15.5 SUW19 9:40:52 AM 2.139 25.85 0.18 -83.1335 29.32262 398.6 0.98431 1.0351 0.65542 15.5 SUW19 9:41:02 AM 2.143 25.84 0.18 -83.1334 29.32257 411.1 0.93214 0.99271 0.65693 15.5 SUW19 9:41:12 AM 2.127 25.84 0.18 -83.1333 29.32252 421.1 1.2824 1.0404 0.90488 15.25 SUW19 9:41:22 AM 2.164 25.84 0.18 -83.1332 29.32247 432.55 0.83017 0.8309 0.98475 16 SUW19 9:41:32 AM 2.156 25.84 0.18 -83.1331 29.32242 442.55 1.0603 1.0804 1.079 16 SUW19 9:41:42 AM 2.139 25.84 0.18 -83.133 29.32237 454.1 0.94063 0.94792 1.0246 16.5 SUW19 9:41:52 AM 2.169 25.84 0.18 -83.133 29.32232 463.4 0.75715 0.85768 1.011 16.5 SUW19 9:42:02 AM 2.135 25.84 0.18 -83.1329 29.32227 474.85 1.0755 1.0873 1.072 16.5 SUW19 9:42:12 AM 2.164 25.83 0.18 -83.1328 29.32223 485.4 0.9861 0.99767 1.0472 16.5 SUW19 9:42:22 AM 2.156 25.84 0.18 -83.1327 29.32218 495.05 1.1024 1.2501 1.2212 16.5 SUW19 9:42:32 AM 2.164 25.84 0.18 -83.1326 29.32215 504.4 0.99906 1.1579 1.1864 16.25 SUW19 9:42:42 AM 2.156 25.84 0.18 -83.1325 29.32208 517.5 0.90466 1.158 1.1914 16 SUW19 9:42:52 AM 2.139 25.84 0.18 -83.1324 29.32203 528.7 0.84212 1.0386 1.1406 16.25 SUW19 9:43:02 AM 2.164 25.84 0.18 -83.1323 29.322 537.55 103.8532.87 0.9886 1.1298 1.1928 16.25 SUW19 9:43:12 AM 2.156 25.85 0.18 -83.1322 29.32195 551.2 1.0869 1.1375 1.1647 16.75 SUW19 9:43:22 AM 2.181 25.86 0.18 -83.1321 29.32192 558.75 1.062 1.1683 1.158 16.5 SUW19 9:43:32 AM 2.156 25.86 0.18 -83.132 29.32187 570.9 1.0514 1.172 1.1297 16.5 SUW19 9:43:42 AM 2.173 25.86 0.18 -83.1319 29.3218 580.9 0.92921 1.0497 1.0377 16.75 SUW19 9:43:52 AM 2.152 25.86 0.18 -83.1318 29.32177 592.9 1.0983 0.98583 0.7596 16.5 SUW19 9:44:02 AM 2.173 25.85 0.18 -83.1317 29.32172 603.25 1.2539 1.1806 0.82925 16.25 SUW19 9:44:26 AM 2.181 25.85 0.18 -83.1314 29.32152 643.2 1.6451 1.1662 0.91638 16.25 SUW19 9:44:37 AM 2.144 25.85 0.18 -83.1314 29.32157 641.25 1.6188 1.1593 0.94978 16.25 SUW19 9:44:47 AM 2.144 25.85 0.18 -83.1313 29.32152 651.55 1.2867 0.74131 0.71603 16.5 SUW19 9:44:57 AM 2.144 25.85 0.18 -83.1312 29.3215 661.15 1.8097 1.0236 0.61811 16.75 SUW19 9:45:07 AM 2.159 25.85 0.18 -83.1311 29.32147 673.3 1.7862 0.98821 0.59093 16.25 SUW19 9:45:17 AM 2.139 25.86 0.18 -83.131 29.32142 682.2 1.3931 0.85327 0.59457 17 SUW19 9:45:27 AM 2.135 25.86 0.18 -83.1309 29.32137 693.75 1.4355 0.84842 0.82301 16.75 SUW19 9:45:37 AM 2.156 25.86 0.18 -83.1308 29.3213 704.15 1.0459 0.95677 1.198 16 SUW19 9:45:49 AM 2.169 25.86 0.18 -83.1307 29.32127 716.65 1.4028 0.84488 0.67708 16.5 SUW19 9:46:02 AM 2.169 25.86 0.18 -83.1305 29.3212 734.15 1.5648 1.1488 0.71059 17 SUW19 9:46:13 AM 2.156 25.85 0.18 -83.1304 29.32113 745.4 1.1917 0.9713 0.95299 16.75 SUW19

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74 Appendix 2 (Continued) 9:46:14 AM 2.159 25.86 0.18 -83.1304 29.32113 745.4 1.1917 0.9713 0.95299 16.75 SUW19 9:46:32 AM 2.169 25.85 0.18 -83.1302 29.3211 766.65 1.3068 0.96365 0.89447 17 SUW19 9:46:43 AM 2.139 25.86 0.18 -83.1302 29.321 776.65 1.2546 0.95336 0.96179 17.25 SUW19 9:47:02 AM 2.181 25.86 0.18 -83.1299 29.32097 796.6 0.99815 1.1344 1.2029 16.5 SUW19 9:47:12 AM 2.172 25.85 0.18 -83.1299 29.32085 807.25 1.1259 0.97863 0.97414 17 SUW19 9:47:13 AM 2.176 25.86 0.18 -83.1299 29.32085 807.25 1.1259 0.97863 0.97414 17 SUW19 9:47:38 AM 2.194 25.86 0.18 -83.1296 29.3208 834.85 0.94218 0.75447 0.73737 17 SUW19 9:47:48 AM 2.159 25.85 0.18 -83.1296 29.32067 842.6 1.1685 0.84551 0.78172 17.25 SUW19 9:47:58 AM 2.181 25.84 0.18 -83.1295 29.32062 855.55 105.0232.886 1.1268 0.93606 0.95534 17 SUW19 9:48:08 AM 2.152 25.84 0.18 -83.1294 29.32058 864.85 0.98133 1.3248 1.3354 17 SUW19 9:48:18 AM 2.181 25.84 0.18 -83.1293 29.32053 875 0.94335 1.1758 1.0874 16.25 SUW19 9:48:28 AM 2.147 25.85 0.18 -83.1292 29.32045 887.7 0.99471 1.3269 1.0766 16.75 SUW19 9:48:38 AM 2.172 25.84 0.18 -83.1292 29.32038 897.7 0.89055 1.3204 1.1728 16.5 SUW19 9:48:48 AM 2.169 25.84 0.18 -83.1291 29.3203 907.85 0.74617 0.85994 0.92184 17.25 SUW19 9:48:58 AM 2.184 25.83 0.18 -83.129 29.32023 917.85 0.71938 0.90613 0.87706 17.25 SUW19 9:49:08 AM 2.194 25.84 0.18 -83.129 29.3202 927.65 0.97727 0.92117 0.8373 17.25 SUW19 9:49:18 AM 2.181 25.83 0.18 -83.1289 29.32013 938.6 1.4578 1.1514 1.0344 16.75 SUW19 9:49:28 AM 2.156 25.83 0.18 -83.1288 29.32008 948.65 0.58172 0.96157 1.1586 16.5 SUW19 9:49:38 AM 2.198 25.83 0.18 -83.1287 29.32005 957.2 1.0443 1.5695 1.522 16.5 SUW19 9:50:07 AM 2.198 25.85 0.18 -83.1284 29.31998 985.8 1.1829 1.2718 1.2579 16.75 SUW19 9:50:18 AM 2.176 25.85 0.18 -83.1283 29.31993 996.35 0.94007 1.1377 1.1332 17 SUW19 9:50:28 AM 2.198 25.85 0.18 -83.1282 29.31992 1006.85 0.91306 1.2185 1.1342 16.25 SUW19 9:50:38 AM 2.184 25.85 0.18 -83.1281 29.3199 1017.2 1.0501 0.9322 0.93154 17 SUW19 9:50:48 AM 2.194 25.85 0.18 -83.128 29.31987 1026.1 0.80598 0.95732 1.078 17.25 SUW19 9:50:58 AM 2.194 25.84 0.18 -83.1279 29.31983 1038.65 0.90193 1.1376 1.1871 17.25 SUW19 9:51:08 AM 2.194 25.83 0.18 -83.1278 29.3198 1047.9 0.85934 1.003 1.1123 17.5 SUW19 9:51:18 AM 2.181 25.83 0.18 -83.1277 29.31977 1057.85 0.83953 1.1328 1.2967 17.25 SUW19 9:51:28 AM 2.164 25.83 0.18 -83.1277 29.31972 1068.65 0.86483 1.1257 1.2476 17 SUW19 9:51:38 AM 2.194 25.84 0.18 -83.1276 29.31968 1078.9 0.86144 1.0703 1.234 17.625 SUW19 9:51:48 AM 2.176 25.84 0.18 -83.1275 29.31962 1090.05 1.0001 1.1496 1.2018 16.75 SUW19 9:51:58 AM 2.176 25.84 0.18 -83.1274 29.31955 1101.5 0.96037 1.1459 1.2159 16.5 SUW19 9:52:08 AM 2.181 25.84 0.18 -83.1273 29.31948 1111.5 1.173 1.26 1.2499 17.25 SUW19 9:52:18 AM 2.194 25.84 0.18 -83.1273 29.31942 1121.8 0.77432 1.0216 1.1284 17.25 SUW19

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75 Appendix 2 (Continued) 9:52:28 AM 2.211 25.84 0.18 -83.1272 29.31933 1131.8 1.0769 1.1222 1.0459 17.25 SUW19 9:52:38 AM 2.219 25.84 0.18 -83.1272 29.31927 1140.5 0.92432 0.9557 0.91322 16.75 SUW19 9:52:48 AM 2.181 25.83 0.18 -83.1271 29.31918 1152.8 0.75457 1.1499 1.3081 17 SUW19 9:52:58 AM 2.194 25.83 0.18 -83.127 29.31913 1160.5 109.27 2.945 0.79539 1.1073 1.2476 16.5 SUW19 9:53:08 AM 2.211 25.83 0.18 -83.1269 29.31908 1171.2 0.9637 1.2006 1.1761 16.5 SUW19 9:53:18 AM 2.211 25.83 0.18 -83.1269 29.31903 1181.35 0.90575 1.1134 1.2368 17.25 SUW19 9:53:28 AM 2.21 25.84 0.18 -83.1268 29.31898 1191.35 0.96992 1.1092 1.2329 16.5 SUW19 9:53:38 AM 2.192 25.84 0.18 -83.1267 29.31895 1200.6 0.59767 0.67876 0.94837 17.625 SUW19 9:53:48 AM 2.206 25.84 0.18 -83.1266 29.31888 1214.35 0.67491 0.93815 1.2489 17.25 SUW19 9:53:58 AM 2.194 25.83 0.18 -83.1265 29.31883 1224.35 1.193 1.4781 1.4394 17 SUW19 9:54:08 AM 2.206 25.83 0.18 -83.1264 29.31882 1233.8 0.57314 0.81026 1.056 16.75 SUW19 9:54:18 AM 2.189 25.84 0.18 -83.1263 29.31878 1243.15 1.14 0.88226 0.92653 16.5 SUW19 9:54:28 AM 2.181 25.83 0.18 -83.1262 29.31873 1254.95 1.2191 0.73402 0.60972 16.75 SUW19 9:54:38 AM 2.219 25.83 0.18 -83.1261 29.31872 1263.7 1.2808 0.91321 0.89354 17 SUW19 9:54:48 AM 2.21 25.84 0.18 -83.126 29.31867 1274.1 1.0717 1.1866 1.1466 16.5 SUW19 9:54:58 AM 2.224 25.84 0.18 -83.1259 29.31865 1284.3 0.80952 1.0525 1.2673 16.75 SUW19 9:55:08 AM 2.206 25.84 0.18 -83.1258 29.3186 1295.3 0.8713 1.2193 1.4398 16.5 SUW19 9:55:18 AM 2.194 25.84 0.18 -83.1257 29.31858 1303.95 0.66554 1.0293 1.3755 16 SUW19 9:55:28 AM 2.224 25.84 0.18 -83.1256 29.31853 1317.4 0.93462 1.1151 1.3183 16.75 SUW19 9:55:38 AM 2.206 25.84 0.18 -83.1255 29.31852 1325.2 0.75776 1.0699 1.3584 16 SUW19 9:55:48 AM 2.219 25.84 0.18 -83.1254 29.3185 1335.5 1.0027 1.2031 1.4199 16.25 SUW19 9:55:58 AM 2.211 25.84 0.18 -83.1253 29.31845 1344.15 0.90404 1.1357 1.3356 16.75 SUW19 9:56:08 AM 2.198 25.84 0.18 -83.1252 29.31843 1356.05 1.0984 1.0331 1.1709 17 SUW19 9:56:18 AM 2.184 25.84 0.18 -83.1251 29.31842 1366.05 0.87652 1.1536 1.317 17.5 SUW19 9:56:28 AM 2.214 25.84 0.18 -83.125 29.31837 1375.5 0.89122 1.1395 1.2936 17.25 SUW19 9:56:38 AM 2.219 25.85 0.18 -83.1249 29.31835 1385.85 1.0548 0.99886 0.95847 17.5 SUW19 9:56:48 AM 2.232 25.85 0.18 -83.1248 29.3183 1396.15 0.86931 0.76994 0.86192 16.75 SUW19 9:56:58 AM 2.189 25.85 0.18 -83.1247 29.31828 1405.7 1.0406 1.0741 1.1563 16.75 SUW19 9:57:08 AM 2.202 25.85 0.18 -83.1246 29.31827 1415.65 0.90001 1.0672 1.2657 17 SUW19 9:57:18 AM 2.214 25.84 0.18 -83.1245 29.31823 1428.05 1.1842 1.067 1.141 17.625 SUW19 9:57:28 AM 2.194 25.84 0.18 -83.1244 29.31822 1438.05 0.90757 0.68909 0.79093 17.5 SUW19 9:57:38 AM 2.211 25.84 0.18 -83.1243 29.3182 1446.35 1.4016 1.0922 1.0759 17.25 SUW19 9:57:48 AM 2.219 25.84 0.18 -83.1242 29.31818 1458.4 1.0321 1.0985 1.1917 17.25 SUW19

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76 Appendix 2 (Continued) 9:57:58 AM 2.224 25.84 0.18 -83.1242 29.31815 1466.35 123.1173.137 1.1616 0.98234 1.0682 17.25 SUW19 9:58:08 AM 2.232 25.84 0.18 -83.124 29.31813 1477.4 1.2176 1.1373 1.1851 17.5 SUW19 9:58:18 AM 2.232 25.84 0.18 -83.1239 29.31812 1488.05 0.96648 0.87115 0.9745 17.5 SUW19 9:58:28 AM 2.214 25.84 0.18 -83.1239 29.31807 1497.4 1.1316 0.99776 1.1274 17.25 SUW19 9:58:38 AM 2.194 25.84 0.18 -83.1237 29.31805 1509.45 1.0005 0.84468 0.91281 17.625 SUW19 9:58:48 AM 2.21 25.84 0.18 -83.1237 29.318 1519.45 1.0451 0.91164 0.89038 17.625 SUW19 9:58:58 AM 2.219 25.85 0.18 -83.1236 29.31797 1527.3 1.5261 0.88514 0.79662 17.5 SUW19 9:59:08 AM 2.197 25.85 0.18 -83.1235 29.31792 1537.3 1.608 1.1943 0.96491 17.5 SUW19 9:59:18 AM 2.211 25.85 0.18 -83.1234 29.31787 1547.75 1.4099 1.3018 1.2152 17.25 SUW19 9:59:28 AM 2.214 25.86 0.18 -83.1233 29.31782 1558 1.1431 0.76038 0.90907 17.25 SUW19 9:59:38 AM 2.236 25.86 0.18 -83.1233 29.31775 1568.5 1.1278 1.2209 1.4401 17.5 SUW19 9:59:48 AM 2.236 25.9 0.18 -83.1232 29.3177 1577.7 0.80616 1.055 1.5611 17.5 SUW19 9:59:58 AM 2.232 25.89 0.18 -83.1231 29.31768 1589.4 1.0567 1.197 1.5447 17.25 SUW19 10:00:08 AM 2.219 25.9 0.18 -83.123 29.31763 1598.75 0.97983 1.1514 1.453 17.5 SUW19 10:00:18 AM 2.206 25.89 0.18 -83.1229 29.31762 1606.5 1.3795 1.3253 1.383 17.5 SUW19 10:00:28 AM 2.202 25.89 0.18 -83.1228 29.3176 1618.75 1.1683 1.2182 1.2866 17.5 SUW19 10:00:38 AM 2.222 25.9 0.18 -83.1227 29.31757 1627.65 1.254 1.166 1.1179 17.875 SUW19 10:00:48 AM 2.232 25.87 0.18 -83.1226 29.31757 1638.3 1.2176 1.2378 1.1825 17.625 SUW19 10:00:58 AM 2.214 25.87 0.18 -83.1225 29.31757 1649.5 1.0526 1.2579 1.3042 17.625 SUW19 10:01:08 AM 2.227 25.87 0.18 -83.1224 29.31757 1657.85 1.42 1.2849 1.0481 17.25 SUW19 10:01:18 AM 2.222 25.86 0.18 -83.1223 29.31757 1666.75 1.2388 0.82309 0.69872 17 SUW19 10:01:28 AM 2.248 25.86 0.18 -83.1222 29.31757 1678.55 1.5923 1.0746 0.68353 17.25 SUW19 10:01:38 AM 2.245 25.87 0.18 -83.1221 29.31757 1687.3 1.6266 0.92813 0.77814 16.75 SUW19 10:01:48 AM 2.24 25.87 0.18 -83.122 29.31757 1698.55 1.8268 0.7774 0.56926 16.5 SUW19 10:01:58 AM 2.227 25.87 0.18 -83.1219 29.31757 1708.55 1.6385 0.79268 0.71329 17 SUW19 10:02:08 AM 2.24 25.88 0.18 -83.1218 29.31755 1718.15 1.3552 1.2217 1.2835 17 SUW19 10:02:18 AM 2.235 25.88 0.18 -83.1217 29.31755 1729.75 1.1766 1.085 1.2377 17 SUW19 10:02:28 AM 2.214 25.89 0.18 -83.1216 29.31753 1738.5 1.3184 1.3527 1.4191 17.25 SUW19 10:02:38 AM 2.227 25.89 0.18 -83.1215 29.31752 1748.7 1.5631 1.5169 1.528 16.75 SUW19 10:02:48 AM 2.24 25.89 0.18 -83.1214 29.31748 1756.5 1.4615 1.4796 1.517 16.5 SUW19 10:02:58 AM 2.248 25.89 0.18 -83.1213 29.31745 1768.55 124.5613.153 1.4566 1.381 1.4154 16.25 SUW19 10:03:08 AM 2.244 25.89 0.18 -83.1212 29.3174 1778.5 1.3164 1.127 1.2278 16.25 SUW19 10:03:18 AM 2.248 25.88 0.18 -83.1211 29.31737 1788.45 1.2191 1.1263 1.2172 16 SUW19

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77 Appendix 2 (Continued) 10:03:28 AM 2.262 25.89 0.18 -83.121 29.31733 1798.45 1.3737 1.2011 1.2821 16.75 SUW19 10:03:38 AM 2.262 25.9 0.18 -83.1209 29.3173 1808.45 1.3861 1.7318 1.6425 16.25 SUW19 10:03:48 AM 2.262 25.9 0.18 -83.1208 29.31725 1818.45 1.5426 1.6158 1.6361 15.75 SUW19 10:03:58 AM 2.257 25.9 0.18 -83.1207 29.31723 1828.95 1.8052 1.7417 1.7297 16 SUW19 10:04:08 AM 2.248 25.9 0.18 -83.1206 29.31722 1836.3 1.5617 1.7701 1.7627 16.75 SUW19 10:04:18 AM 2.231 25.9 0.18 -83.1205 29.31718 1848 1.456 1.2322 1.1791 17.25 SUW19 10:04:28 AM 2.257 25.9 0.18 -83.1204 29.31717 1857.3 1.3779 1.0819 1.1055 16.25 SUW19 10:04:38 AM 2.253 25.91 0.18 -83.1203 29.31712 1868 1.3444 1.3134 1.4429 16 SUW19 10:04:48 AM 2.253 25.9 0.18 -83.1202 29.3171 1879.15 1.2878 1.6124 1.6678 16.25 SUW19 10:04:58 AM 2.248 25.92 0.18 -83.1201 29.31708 1888 1.183 1.5442 1.5735 16.5 SUW19 10:05:08 AM 2.265 25.94 0.18 -83.12 29.31703 1899.85 1.7101 1.8042 1.599 17 SUW19 10:05:18 AM 2.248 25.93 0.18 -83.1199 29.31702 1910.25 1.1018 1.4799 1.5376 16.5 SUW19 10:05:28 AM 2.265 25.91 0.18 -83.1198 29.317 1920.45 1.0422 1.2635 1.3977 16.75 SUW19 10:05:38 AM 2.239 25.89 0.18 -83.1198 29.31697 1928.3 1.0083 1.2959 1.3288 16.25 SUW19 10:05:48 AM 2.248 25.93 0.18 -83.1196 29.31695 1940.45 1.1104 1.4299 1.5002 16.25 SUW19 10:05:58 AM 2.244 25.99 0.18 -83.1195 29.31695 1949.4 1.6522 1.7876 1.6031 16.25 SUW19 10:06:08 AM 2.27 25.98 0.18 -83.1194 29.31695 1958.7 1.7443 2.0641 1.8017 16 SUW19 10:06:18 AM 2.248 25.98 0.18 -83.1193 29.31697 1970.6 1.3117 2.2251 2.6813 16 SUW19 10:06:28 AM 2.248 26.01 0.18 -83.1192 29.317 1979.1 1.8675 1.5907 1.4483 15.5 SUW19 10:06:38 AM 2.252 26.06 0.18 -83.1191 29.31702 1989.1 1.419 1.2966 1.2973 16 SUW19 10:06:48 AM 2.265 26.06 0.18 -83.119 29.31703 2001.65 1.2708 1.6892 1.7576 15.25 SUW19 10:06:58 AM 2.265 26.05 0.18 -83.1189 29.31707 2010.2 1.4089 1.5018 1.2661 15.5 SUW19 10:07:08 AM 2.261 26.06 0.18 -83.1188 29.31707 2021.65 2.0242 2.1189 1.0637 15.25 SUW19 10:07:18 AM 2.283 26.07 0.18 -83.1187 29.31708 2031.25 1.1355 2.652 2.2005 15.75 SUW19 10:07:28 AM 2.274 26.07 0.18 -83.1186 29.31708 2040.85 2.5686 3.4024 2.724 15.25 SUW19 10:07:38 AM 2.261 26.05 0.18 -83.1185 29.31708 2052.55 1.422 0.88308 1.03 15 SUW19 10:07:48 AM 2.287 26.05 0.18 -83.1184 29.31708 2062.55 1.2729 1.2865 1.4086 14.5 SUW19 10:07:58 AM 2.238 26.03 0.18 -83.1183 29.31708 2074.2 131.4783.236 1.3696 1.4387 1.5872 15.5 SUW19 10:08:08 AM 2.238 26.02 0.18 -83.1182 29.31708 2083.35 1.5063 1.0753 1.2227 15 SUW19 10:08:18 AM 2.261 25.99 0.18 -83.1181 29.31708 2094.2 2.2858 0.93664 0.89806 15.5 SUW19 10:08:28 AM 2.252 25.98 0.18 -83.118 29.31707 2104.65 1.0405 1.084 1.4576 15.25 SUW19 10:08:38 AM 2.278 25.96 0.18 -83.1179 29.31707 2114.65 1.0446 1.2196 1.5978 14.75 SUW19 10:08:48 AM 2.261 25.94 0.18 -83.1178 29.31703 2126.95 1.1322 0.83665 1.0042 15.5 SUW19

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78 Appendix 2 (Continued) 10:08:58 AM 2.247 25.9 0.18 -83.1177 29.31702 2135.6 0.98307 0.84892 1.0808 15.5 SUW19 10:09:08 AM 2.256 25.92 0.18 -83.1176 29.31702 2144.7 0.95021 0.99325 1.4433 15.75 SUW19 10:09:18 AM 2.274 25.9 0.18 -83.1174 29.31702 2158.85 1.026 1.0919 1.4739 15 SUW19 10:09:28 AM 2.292 25.9 0.18 -83.1173 29.31702 2169.55 0.99837 1.1063 1.6901 15.25 SUW19 10:09:38 AM 2.283 25.89 0.18 -83.1172 29.317 2179.55 0.91228 1.5046 2.3208 15.75 SUW19 10:09:48 AM 2.279 25.91 0.18 -83.1171 29.317 2189.05 0.80329 1.3859 2.2035 15.75 SUW19 10:09:58 AM 2.287 25.9 0.18 -83.117 29.317 2200.8 0.77238 1.0266 1.6797 15.75 SUW19 10:10:08 AM 2.265 25.9 0.18 -83.1169 29.317 2210.4 0.97119 1.3563 2.0752 15.25 SUW19 10:10:18 AM 2.27 25.9 0.18 -83.1168 29.317 2222.25 0.51963 0.91635 15 SUW19 10:10:28 AM 2.302 25.91 0.18 -83.1167 29.31697 2234.8 0.83228 1.2065 14.75 SUW19 10:10:38 AM 2.302 25.93 0.18 -83.1166 29.31697 2244.8 1.2908 1.6264 2.136 15 SUW19 10:10:48 AM 2.302 25.91 0.18 -83.1165 29.31695 2254.65 1.6538 1.5625 1.819 16.25 SUW19 10:10:58 AM 2.279 25.95 0.18 -83.1163 29.31695 2266.4 1.3497 1.6697 15.25 SUW19 10:11:08 AM 2.301 25.98 0.18 -83.1162 29.31697 2276.4 1.3782 1.5327 16.25 SUW19 10:11:18 AM 2.283 25.99 0.18 -83.1161 29.317 2286.6 1.2428 1.3827 14.75 SUW19 10:11:28 AM 2.297 25.98 0.18 -83.116 29.31702 2296.6 1.5965 1.7031 15.25 SUW19 10:11:38 AM 2.275 25.99 0.18 -83.1159 29.31707 2309.65 1.4582 1.5215 16.25 SUW19 10:11:48 AM 2.293 25.99 0.18 -83.1158 29.31708 2320.35 0.6666 1.3917 15.5 SUW19 10:11:58 AM 2.283 26 0.18 -83.1157 29.3171 2330 0.87296 1.4805 16.5 SUW19 10:12:08 AM 2.292 26.02 0.18 -83.1156 29.3171 2341.45 1.378 1.7622 15 SUW19 10:12:18 AM 2.283 26.03 0.18 -83.1155 29.3171 2354.6 0.94755 1.5525 15.5 SUW19 10:12:28 AM 2.306 26.03 0.18 -83.1154 29.31712 2364.6 1.2885 1.9319 16.25 SUW19 10:12:38 AM 2.301 26 0.18 -83.1152 29.31712 2376.2 1.7205 2.2657 16 SUW19 10:12:48 AM 2.306 26.02 0.18 -83.1151 29.31712 2384.6 1.2452 1.9335 16 SUW19 10:12:58 AM 2.301 26.03 0.18 -83.115 29.31712 2396.15 129.6623.212 0.98684 1.9552 15.75 SUW19 10:13:08 AM 2.297 26.06 0.18 -83.1149 29.31712 2407 0.91063 1.6792 15.75 SUW19 10:13:18 AM 2.306 26.05 0.18 -83.1148 29.3171 2417.6 1.0712 1.6844 15.75 SUW19 10:13:28 AM 2.296 26.03 0.18 -83.1147 29.3171 2428.6 0.96817 1.5354 16 SUW19 10:13:38 AM 2.301 26.03 0.18 -83.1146 29.31708 2438.5 1.0851 1.7135 16.5 SUW19 10:13:48 AM 2.291 26.04 0.18 -83.1145 29.3171 2445.85 1.2307 1.6844 16.5 SUW19 10:13:58 AM 2.314 26.01 0.18 -83.1144 29.31715 2461.05 0.97947 1.3403 16.25 SUW19 10:14:08 AM 2.283 25.98 0.18 -83.1143 29.31718 2468.4 1.3537 1.5361 16 SUW19 10:14:18 AM 2.301 26.04 0.18 -83.1142 29.31725 2480.2 1.8696 2.1418 16.25 SUW19

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79 Appendix 2 (Continued) 10:14:28 AM 2.287 26.07 0.18 -83.1142 29.3173 2489.6 1.7654 1.9493 16.75 SUW19 10:14:38 AM 2.319 26.09 0.18 -83.1141 29.31737 2502.2 0.88775 1.644 16.25 SUW19 10:14:48 AM 2.328 26.1 0.18 -83.114 29.31742 2510.1 1.7352 2.162 16.5 SUW19 10:14:58 AM 2.31 26.11 0.18 -83.1139 29.31752 2524 1.6755 1.8429 16.25 SUW19 10:15:08 AM 2.323 26.11 0.18 -83.1139 29.31757 2531.55 1.9423 2.0373 16.25 SUW19 10:15:18 AM 2.296 26.09 0.18 -83.1138 29.31767 2544.05 1.9939 2.1923 16.75 SUW19 10:15:28 AM 2.319 26.02 0.18 -83.1137 29.31775 2554.05 1.5642 2.1155 16.25 SUW19 10:15:38 AM 2.3 25.99 0.18 -83.1137 29.31783 2564.05 1.3348 1.8059 16.25 SUW19 10:15:48 AM 2.31 25.99 0.18 -83.1137 29.31792 2574.25 1.4068 1.8098 16.25 SUW19 10:15:58 AM 2.305 25.9 0.18 -83.1137 29.31803 2586.5 1.467 2.0868 16.5 SUW19 10:16:08 AM 2.296 25.87 0.18 -83.1136 29.31812 2595.9 2.0467 2.0029 16 SUW19 10:16:18 AM 2.301 25.88 0.18 -83.1136 29.31822 2607.85 1.3333 16.5 SUW19 10:16:28 AM 2.323 25.86 0.18 -83.1136 29.3183 2618.2 1.0062 16.5 SUW19 10:16:38 AM 2.296 25.86 0.18 -83.1136 29.31842 2630.6 0.63489 16.75 SUW19 10:16:48 AM 2.323 25.86 0.18 -83.1136 29.3185 2641.6 1.2002 16.75 SUW19 10:16:58 AM 2.323 25.88 0.18 -83.1135 29.31858 2650.6 1.5572 1.8483 17 SUW19 10:17:08 AM 2.333 25.88 0.18 -83.1135 29.31867 2662.45 0.83593 1.5027 17.25 SUW19 10:17:18 AM 2.315 25.93 0.18 -83.1134 29.31878 2675.05 1.2194 1.5266 17.875 SUW19 10:17:28 AM 2.338 25.98 0.18 -83.1134 29.31887 2685.95 1.0073 1.6498 17.875 SUW19 10:17:38 AM 2.324 26.01 0.18 -83.1133 29.31895 2697.35 0.62595 1.2925 17.5 SUW19 10:17:48 AM 2.324 25.99 0.18 -83.1133 29.31903 2708.45 1.064 1.5369 17 SUW19 10:17:58 AM 2.324 25.99 0.18 -83.1133 29.31912 2716.65 132.58 3.25 1.4587 1.5962 2.1586 17.625 SUW19 10:18:08 AM 2.342 26.03 0.18 -83.1132 29.3192 2725.95 0.92392 1.3563 2.1363 17.25 SUW19 10:18:18 AM 2.361 26.03 0.18 -83.1132 29.31928 2735.15 1.4578 1.6746 2.0514 17.25 SUW19 10:18:28 AM 2.351 26.01 0.18 -83.1132 29.3194 2748.45 1.7381 1.9619 2.1591 17.5 SUW19 10:18:38 AM 2.338 25.95 0.18 -83.1132 29.31948 2758.45 1.0592 1.5989 2.1629 17.5 SUW19 10:18:48 AM 2.338 25.88 0.18 -83.1132 29.31958 2769.5 2.5389 2.3398 1.9702 17.25 SUW19 10:18:58 AM 2.361 25.99 0.18 -83.1132 29.31968 2780.1 3.3895 1.5397 1.0925 17 SUW19 10:19:08 AM 2.343 25.91 0.18 -83.1132 29.31978 2791.9 3.1376 1.4978 1.272 17.25 SUW19 10:19:18 AM 2.361 25.84 0.18 -83.1132 29.31987 2800.1 3.1858 1.3776 1.15 17 SUW19 10:19:28 AM 2.342 26.02 0.18 -83.1132 29.31998 2814.85 1.9935 1.1367 1.4035 17.625 SUW19 10:19:38 AM 2.343 26.05 0.18 -83.1133 29.32008 2826.05 2.4947 1.9268 1.7757 17.5 SUW19 10:19:48 AM 2.356 26.08 0.18 -83.1133 29.32017 2834.75 3.3443 2.3971 1.44 17.25 SUW19

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80 Appendix 2 (Continued) 10:19:58 AM 2.38 26.07 0.18 -83.1133 29.32028 2848.5 3.0222 2.2239 1.2361 17.5 SUW19 10:20:08 AM 2.333 26.09 0.18 -83.1133 29.32038 2859.65 1.4679 1.5698 1.8728 17 SUW19 10:20:18 AM 2.366 26.09 0.18 -83.1133 29.32047 2871.6 1.1781 1.5706 1.9011 17.25 SUW19 10:20:28 AM 2.375 26.1 0.18 -83.1133 29.32058 2881.45 1.825 1.5441 1.67 17.5 SUW19 10:20:38 AM 2.357 26.11 0.18 -83.1132 29.32068 2896.3 1.8258 1.384 1.3765 17 SUW19 10:20:48 AM 2.357 26.12 0.18 -83.1132 29.32077 2902.95 1.7458 1.1609 1.1901 16.75 SUW19 10:20:58 AM 2.351 26.13 0.18 -83.1132 29.32088 2917.3 2.1428 1.476 1.3754 17.25 SUW19 10:21:08 AM 2.365 26.13 0.18 -83.1131 29.32097 2928.9 1.9944 1.3507 1.2939 17 SUW19 10:21:18 AM 2.356 26.13 0.18 -83.1131 29.32107 2941.3 2.225 1.4303 1.3673 17.5 SUW19 10:21:28 AM 2.356 26.13 0.18 -83.1131 29.32115 2950.05 2.0901 1.7945 1.7157 16.25 SUW19 10:21:38 AM 2.351 26.12 0.18 -83.113 29.32127 2964.45 1.6852 1.2144 1.3608 16.75 SUW19 10:21:48 AM 2.356 26.12 0.18 -83.113 29.32137 2975.2 1.3247 1.2711 1.5272 17.5 SUW19 10:21:58 AM 2.351 26.1 0.18 -83.113 29.32148 2988.15 1.3927 1.1007 1.3098 17.25 SUW19 10:22:08 AM 2.37 26.08 0.18 -83.113 29.32157 2997.5 1.8261 1.5881 1.6476 16.75 SUW19 10:22:18 AM 2.36 26.1 0.18 -83.113 29.32167 3009.6 2.1268 1.9007 1.7748 16.75 SUW19 10:22:28 AM 2.365 26.1 0.18 -83.113 29.32178 3021.55 2.2106 2.1996 2.0585 16.75 SUW19 10:22:38 AM 2.36 26.09 0.18 -83.1129 29.32188 3033.2 2.1358 2.2799 2.1739 17.25 SUW19 10:22:48 AM 2.346 26.1 0.18 -83.1129 29.322 3046.05 1.7939 1.9754 2.1185 16.75 SUW19 10:22:58 AM 2.389 26.09 0.18 -83.1129 29.32208 3058.25 132.1123.239 2.0374 2.4729 2.5561 17.25 SUW19 10:23:08 AM 2.346 26.1 0.18 -83.1129 29.32218 3068.65 1.8614 2.4585 2.7767 17 SUW19 10:23:18 AM 2.346 26.08 0.18 -83.1128 29.3223 3083.35 1.9 2.6645 3.1528 16.75 SUW19 10:23:28 AM 2.365 26.08 0.18 -83.1128 29.3224 3094.1 1.9515 2.792 3.3157 17.25 SUW19 10:23:38 AM 2.374 26.05 0.18 -83.1128 29.32252 3108.4 2.0539 2.2937 2.5002 16.25 SUW19 10:23:48 AM 2.369 26.05 0.18 -83.1127 29.3226 3118.4 2.1177 2.0207 2.0866 16.5 SUW19 10:23:58 AM 2.351 26.09 0.18 -83.1127 29.3227 3131.7 1.6302 1.6 1.7285 16.75 SUW19 10:24:08 AM 2.36 26.08 0.18 -83.1126 29.32282 3144.3 1.7749 1.5761 1.5689 16 SUW19 10:24:18 AM 2.379 26.11 0.18 -83.1126 29.3229 3153.85 2.0319 1.8777 1.8804 15.5 SUW19 10:24:28 AM 2.374 26.11 0.18 -83.1126 29.323 3164.6 2.3666 2.3984 2.3503 16.5 SUW19 10:24:38 AM 2.355 26.1 0.18 -83.1125 29.32312 3178.4 1.8293 2.2335 2.4871 15.5 SUW19 10:24:48 AM 2.365 26.1 0.18 -83.1125 29.3232 3187.85 1.2467 1.6518 2.1206 16.25 SUW19 10:24:58 AM 2.36 26.11 0.18 -83.1125 29.32327 3195.4 1.9477 2.2138 2.3754 16.5 SUW19 10:25:08 AM 2.384 26.15 0.18 -83.1124 29.32335 3206.75 1.5701 2.3671 2.7413 17 SUW19 10:25:18 AM 2.355 26.14 0.18 -83.1124 29.32343 3218.85 1.5999 2.0806 2.8021 16.25 SUW19

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81 Appendix 2 (Continued) 10:25:28 AM 2.36 26.14 0.18 -83.1124 29.32352 3226.75 1.6075 2.3423 2.8764 17 SUW19 10:25:38 AM 2.36 26.17 0.18 -83.1123 29.3236 3239.6 2.2063 2.5982 2.4993 16.25 SUW19 10:25:48 AM 2.369 26.18 0.18 -83.1122 29.32368 3249.6 1.7265 1.2329 1.1675 16.25 SUW19 10:25:58 AM 2.369 26.17 0.18 -83.1122 29.3238 3265.8 2.0041 1.7783 1.745 16.75 SUW19 10:26:08 AM 2.36 26.19 0.18 -83.1121 29.32388 3276.9 1.5053 1.4444 1.6362 15.25 SUW19 10:26:18 AM 2.351 26.25 0.18 -83.112 29.32398 3290.55 2.0717 1.684 1.7668 15.25 SUW19 10:26:28 AM 2.355 26.26 0.18 -83.112 29.32408 3301.8 2.9518 2.5418 2.5998 16.25 SUW19 10:26:38 AM 2.369 26.26 0.18 -83.1119 29.32417 3312.8 2.349 2.4615 2.7081 16 SUW19 10:26:48 AM 2.374 26.24 0.18 -83.1119 29.32427 3325.4 2.2915 2.1988 2.4725 15.75 SUW19 10:26:58 AM 2.365 26.25 0.18 -83.1118 29.32438 3340.35 2.3423 2.0964 2.2419 15.75 SUW19 10:27:08 AM 2.369 26.23 0.18 -83.1117 29.32447 3351.9 1.7189 2.4031 3.3153 15.25 SUW19 10:27:18 AM 2.383 26.23 0.18 -83.1117 29.32455 3363 1.9457 2.5295 3.4808 17 SUW19 10:27:28 AM 2.374 26.22 0.18 -83.1116 29.32465 3375.65 1.858 2.7022 3.7232 17 SUW19 10:27:38 AM 2.388 26.24 0.18 -83.1115 29.32472 3386.55 2.7459 3.0348 3.6872 16.75 SUW19 10:27:48 AM 2.383 26.22 0.18 -83.1114 29.3248 3400.95 2.7438 3.3538 4.1422 16.25 SUW19 10:27:58 AM 2.379 26.23 0.18 -83.1113 29.32487 3413.6 129.8833.207 1.9549 2.5685 3.4229 17.25 SUW19 10:28:08 AM 2.369 26.22 0.18 -83.1112 29.32493 3423.3 2.0385 2.2596 2.8043 16.5 SUW19 10:28:18 AM 2.36 26.24 0.18 -83.1111 29.32498 3438.4 1.4436 1.8485 2.5161 13.875 SUW19 10:28:28 AM 2.393 26.23 0.18 -83.111 29.32502 3448.4 1.1707 1.7821 2.6772 13.875 SUW19 10:28:38 AM 2.384 26.24 0.18 -83.1109 29.32507 3461 2.3423 3.0719 3.8285 14.5 SUW19 10:28:48 AM 2.403 26.28 0.18 -83.1108 29.3251 3475.55 1.6187 2.6571 14.25 SUW19 10:28:58 AM 2.365 26.24 0.18 -83.1107 29.32513 3486.1 1.9077 2.8202 13.625 SUW19 10:29:08 AM 2.408 26.18 0.18 -83.1105 29.32517 3498.55 2.7569 3.4996 4.3562 14.125 SUW19 10:29:18 AM 2.413 26.34 0.18 -83.1104 29.32522 3510.35 2.5668 3.5765 14.5 SUW19 10:29:28 AM 2.384 26.2 0.18 -83.1103 29.32525 3524.25 2.2625 3.2768 14.5 SUW19 10:29:38 AM 2.369 26.24 0.18 -83.1102 29.3253 3534.25 1.9343 3.6805 14.5 SUW19 10:29:48 AM 2.384 26.28 0.18 -83.1101 29.32535 3547.15 3.3196 6.0259 14.75 SUW19 10:29:58 AM 2.413 26.18 0.18 -83.11 29.32538 3558.55 1.7573 3.0432 14.25 SUW19 10:30:08 AM 2.388 26.11 0.18 -83.1099 29.32543 3570.6 6.0386 4.4161 5.3817 14.125 SUW19 10:30:18 AM 2.398 26.1 0.18 -83.1098 29.3255 3582.8 3.248 3.6076 5.3846 14.75 SUW19 10:30:28 AM 2.393 26.13 0.18 -83.1096 29.32552 3597.4 4.0372 4.3803 5.8551 14.25 SUW19 10:30:38 AM 2.398 26.13 0.18 -83.1095 29.32552 3606.75 4.0316 4.1519 5.7226 14.5 SUW19 10:30:48 AM 2.417 26 0.18 -83.1094 29.32552 3618.45 3.6665 5.5819 8.2348 14.125 SUW19

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82 Appendix 2 (Continued) 10:30:58 AM 2.393 25.98 0.18 -83.1093 29.3255 3628.45 4.1949 6.3026 8.9676 14.75 SUW19 10:31:08 AM 2.418 25.93 0.18 -83.1092 29.32547 3637.8 3.7412 5.8985 9.2359 14.25 SUW19 10:31:18 AM 2.389 26.04 0.18 -83.1091 29.32545 3649.5 4.7587 5.685 8.0696 14.75 SUW19 10:31:28 AM 2.442 26.08 0.18 -83.109 29.32545 3659.5 2.9937 3.503 5.4638 14.125 SUW19 10:31:38 AM 2.398 26.07 0.18 -83.1089 29.32545 3670.95 4.4982 4.7884 14.5 SUW19 10:31:48 AM 2.437 26.09 0.18 -83.1088 29.32545 3680.95 5.0448 5.3981 6.5905 14.5 SUW19 10:31:58 AM 2.442 26.1 0.18 -83.1087 29.32543 3693.65 4.0757 4.2707 5.5356 14.5 SUW19 10:32:08 AM 2.432 26.08 0.18 -83.1086 29.32543 3704.55 4.0552 4.5921 5.5753 14.5 SUW19 10:32:18 AM 2.447 26.09 0.18 -83.1085 29.3254 3712.1 4.9453 4.94 15.375 SUW19 10:32:28 AM 2.422 26.1 0.18 -83.1084 29.32543 3724.8 4.6799 5.6586 5.9049 14.5 SUW19 10:32:38 AM 2.408 26.08 0.18 -83.1083 29.32545 3734.8 3.9876 4.0192 4.6398 14.125 SUW19 10:32:48 AM 2.452 26.07 0.18 -83.1081 29.32545 3746 2.2195 2.3281 2.7335 15.25 SUW19 10:32:58 AM 2.427 26.1 0.18 -83.108 29.32547 3756 132.5193.243 3.712 3.951 4.1576 14.5 SUW19 10:33:08 AM 2.447 26.18 0.18 -83.108 29.32547 3764.05 2.8694 3.912 14.5 SUW19 10:33:18 AM 2.452 26.17 0.18 -83.1078 29.3255 3776.4 1.4212 2.6639 14.5 SUW19 10:33:28 AM 2.432 26.19 0.18 -83.1077 29.3255 3786.4 2.7923 4.6433 14.125 SUW19 10:33:38 AM 2.432 26.18 0.18 -83.1076 29.3255 3797.15 5.0963 7.9153 9.2168 15 SUW19 10:33:48 AM 2.437 26.17 0.18 -83.1075 29.32552 3807.15 5.4434 5.2256 6.8056 14.5 SUW19 10:33:58 AM 2.437 26.17 0.18 -83.1074 29.32552 3817.15 3.138 3.3183 15 SUW19 10:34:08 AM 2.442 26.16 0.18 -83.1073 29.32553 3829 3.237 4.3207 5.3282 15.25 SUW19 10:34:18 AM 2.413 26.14 0.18 -83.1072 29.32555 3838.15 3.1184 4.6616 6.1469 15.375 SUW19 10:34:28 AM 2.432 26.16 0.18 -83.1071 29.32558 3850.9 3.0318 4.425 6.0281 15.25 SUW19 10:34:38 AM 2.447 26.17 0.18 -83.107 29.3256 3860.9 3.0446 4.5813 6.3911 15.25 SUW19 10:34:48 AM 2.422 26.16 0.18 -83.1069 29.3256 3871.95 2.4447 4.1658 6.278 15 SUW19 10:34:58 AM 2.452 26.17 0.18 -83.1068 29.32562 3881.95 2.3933 4.2519 6.6005 15.375 SUW19 10:35:08 AM 2.427 26.19 0.18 -83.1067 29.32562 3891.95 2.678 4.832 7.1748 15.375 SUW19 10:35:18 AM 2.427 26.17 0.18 -83.1066 29.32565 3903.7 3.146 4.7622 6.3584 15 SUW19 10:35:28 AM 2.422 26.16 0.18 -83.1065 29.32562 3914.6 2.6023 3.3046 4.7472 15.375 SUW19 10:35:38 AM 2.432 26.19 0.18 -83.1064 29.32565 3924.35 2.5456 3.3236 4.7726 15.25 SUW19 10:35:48 AM 2.437 26.2 0.18 -83.1063 29.32562 3934.2 2.6061 4.5757 6.8946 15.375 SUW19 10:35:58 AM 2.452 26.19 0.18 -83.1062 29.32562 3943.7 2.3192 3.8511 6.4364 15.625 SUW19 10:36:08 AM 2.452 26.21 0.18 -83.106 29.32562 3955.4 2.0089 3.2052 4.8363 15.625 SUW19 10:36:18 AM 2.452 26.19 0.18 -83.1059 29.32565 3965.4 2.5778 3.5786 4.7299 15.625 SUW19

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83 Appendix 2 (Continued) 10:36:28 AM 2.417 26.17 0.18 -83.1059 29.32567 3974.75 2.2179 3.4897 5.254 15.875 SUW19 10:36:38 AM 2.447 26.22 0.18 -83.1057 29.32568 3987.05 2.0019 3.0231 4.7301 15.875 SUW19 10:36:48 AM 2.452 26.24 0.18 -83.1056 29.3257 3994.75 2.4673 3.1209 4.6825 16.125 SUW19 10:36:58 AM 2.437 26.25 0.18 -83.1056 29.32575 4005.9 2.4232 3.802 5.8013 16.125 SUW19 10:37:08 AM 2.452 26.25 0.18 -83.1054 29.3258 4017.9 2.2373 5.166 10.0987 16.375 SUW19 10:37:18 AM 2.467 26.25 0.18 -83.1053 29.32582 4028.35 2.6215 6.3798 11.6717 15.875 SUW19 10:37:28 AM 2.452 26.26 0.18 -83.1053 29.32585 4038.35 3.2915 4.6722 7.097 16.125 SUW19 10:37:38 AM 2.447 26.31 0.18 -83.1051 29.32588 4049.7 3.4098 3.1825 4.4912 15.875 SUW19 10:37:48 AM 2.432 26.34 0.18 -83.105 29.3259 4059.7 3.7285 4.1716 6.7567 16.125 SUW19 10:37:58 AM 2.437 26.36 0.18 -83.1049 29.32595 4072.85 133.2683.243 2.7912 3.8681 6.5193 16.375 SUW19 10:38:08 AM 2.467 26.4 0.18 -83.1048 29.32598 4082.85 0.78259 1.3437 3.0818 15.875 SUW19 10:38:18 AM 2.427 26.49 0.18 -83.1047 29.32603 4092.8 2.5002 2.5949 3.2887 16.5 SUW19 10:38:28 AM 2.457 26.5 0.18 -83.1046 29.3261 4104.3 2.0806 2.5687 3.7096 16.25 SUW19 10:38:38 AM 2.422 26.5 0.18 -83.1046 29.32615 4113.8 2.1533 3.3357 5.4665 16.125 SUW19 10:38:48 AM 2.437 26.47 0.18 -83.1045 29.3262 4124.7 2.2789 5.8302 10.3412 15.625 SUW19 10:38:58 AM 2.447 26.46 0.18 -83.1044 29.32627 4135.3 3.6037 5.6839 8.504 15.625 SUW19 10:39:08 AM 2.407 26.46 0.18 -83.1043 29.3263 4145.3 5.4799 3.0154 3.613 15.875 SUW19 10:39:18 AM 2.447 26.44 0.18 -83.1042 29.32637 4161.1 3.0098 3.6721 4.0764 15.875 SUW19 10:39:28 AM 2.472 26.42 0.18 -83.1041 29.32642 4170.2 3.3824 4.9056 5.4589 16.125 SUW19 10:39:38 AM 2.442 26.42 0.18 -83.104 29.32645 4180.6 2.6872 5.3308 7.0459 16.625 SUW19 10:39:48 AM 2.422 26.45 0.18 -83.1039 29.32652 4191.95 1.3271 3.1807 4.9754 17 SUW19 10:39:58 AM 2.472 26.5 0.18 -83.1038 29.32658 4203.8 2.0853 1.781 2.487 17.5 SUW19 10:40:08 AM 2.472 26.46 0.18 -83.1037 29.32665 4212.7 1.3769 2.1805 3.0975 16.75 SUW19 10:40:18 AM 2.456 26.27 0.18 -83.1037 29.32673 4226.1 2.1129 3.7648 5.4253 16.5 SUW19 10:40:28 AM 2.472 26.29 0.18 -83.1036 29.3268 4237.25 1.3856 2.3663 3.7026 16.375 SUW19 10:40:38 AM 2.477 26.26 0.18 -83.1035 29.32688 4247.95 2.517 3.6114 4.0141 16.375 SUW19 10:40:48 AM 2.437 26.29 0.18 -83.1035 29.32697 4258.6 1.5129 3.0084 4.0897 16.125 SUW19 10:40:58 AM 2.482 26.25 0.18 -83.1034 29.32703 4268.6 2.0763 3.1366 3.9515 15.875 SUW19 10:41:08 AM 2.482 26.21 0.18 -83.1033 29.32712 4280.5 2.325 3.227 3.814 17.25 SUW19 10:41:18 AM 2.456 26.14 0.18 -83.1033 29.32722 4293.8 1.3339 2.1409 2.7586 17.5 SUW19 10:41:28 AM 2.467 26.31 0.18 -83.1032 29.3273 4304.35 2.5062 2.8918 3.093 17 SUW19 10:41:38 AM 2.442 26.36 0.18 -83.1032 29.32738 4315.3 1.575 3.6163 4.3862 17.5 SUW19 10:41:48 AM 2.462 26.17 0.18 -83.1031 29.32747 4325.3 1.2916 4.2101 4.5954 17.5 SUW19

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84 Appendix 2 (Continued) 10:41:58 AM 2.447 26.13 0.18 -83.1031 29.32755 4334.3 1.8213 3.4283 3.4026 17 SUW19 10:42:08 AM 2.467 26.13 0.18 -83.103 29.32763 4345.3 2.8276 2.8013 2.9207 17.5 SUW19 10:42:18 AM 2.467 26.14 0.18 -83.103 29.32775 4360.2 2.419 3.6136 4.6511 17.5 SUW19 10:42:28 AM 2.452 26.11 0.18 -83.103 29.32783 4369.7 2.8057 4.6182 5.8688 17.5 SUW19 10:42:38 AM 2.462 26.08 0.18 -83.1029 29.32792 4380.25 2.5637 4.8127 6.4148 17.5 SUW19 10:42:48 AM 2.477 26.12 0.18 -83.1029 29.32802 4390.65 2.8956 4.9217 6.4854 16.125 SUW19 10:42:58 AM 2.467 26.13 0.18 -83.1029 29.32812 4401.9 138.6033.324 3.5522 5.1026 6.3096 16.375 SUW19 10:43:08 AM 2.457 26.15 0.18 -83.1029 29.32822 4413.35 2.4989 4.248 5.7426 16.125 SUW19 10:43:18 AM 2.482 26.18 0.18 -83.1029 29.32832 4424.05 3.5454 4.4874 5.2326 16.25 SUW19 10:43:28 AM 2.472 26.1 0.18 -83.1029 29.32842 4434.7 2.8939 3.6344 4.5176 16 SUW19 10:43:38 AM 2.472 26.05 0.18 -83.1029 29.32852 4446.25 1.7622 3.5731 5.3714 16.125 SUW19 10:43:48 AM 2.462 26.02 0.18 -83.1029 29.32863 4459.8 2.8888 4.7199 6.3874 16.375 SUW19 10:43:58 AM 2.507 25.99 0.18 -83.1029 29.32872 4469.8 2.8449 4.4574 6.3419 16.375 SUW19 10:44:08 AM 2.492 25.8 0.18 -83.1029 29.32882 4480.75 2.2503 3.6073 5.3612 16.125 SUW19 10:44:18 AM 2.512 26.11 0.18 -83.1028 29.3289 4490.75 2.5093 3.672 5.2667 16.5 SUW19 10:44:28 AM 2.517 26.44 0.18 -83.1028 29.32902 4503.15 3.5273 5.6662 7.1371 16.375 SUW19 10:44:38 AM 2.487 26.37 0.18 -83.1028 29.32912 4514.85 2.9213 5.6177 10.1942 16.375 SUW19 10:44:48 AM 2.492 26.59 0.18 -83.1028 29.3292 4525.2 3.1247 9.7621 14.6203 16.5 SUW19 10:44:58 AM 2.528 26.66 0.18 -83.1028 29.32928 4533.7 7.5236 15.0121 16.3886 16.375 SUW19 10:45:08 AM 2.528 26.56 0.18 -83.1027 29.3294 4547.1 3.3477 5.0872 6.61 16.125 SUW19 10:45:18 AM 2.523 26.56 0.18 -83.1027 29.32948 4556.6 6.1348 5.5043 6.3878 15.625 SUW19 10:45:28 AM 2.512 26.56 0.18 -83.1027 29.32957 4567.65 5.8862 6.2273 6.8358 15.875 SUW19 10:45:38 AM 2.502 26.51 0.18 -83.1027 29.32968 4580.2 4.7321 4.8113 5.5804 15.375 SUW19 10:45:48 AM 2.467 26.51 0.18 -83.1026 29.32977 4591.95 2.9341 5.0962 5.7855 16 SUW19 10:45:58 AM 2.502 26.51 0.18 -83.1026 29.32985 4601.5 2.8388 5.8365 6.8723 16.125 SUW19 10:46:08 AM 2.477 26.48 0.18 -83.1025 29.32993 4612.05 2.4793 5.3332 7.1029 16.125 SUW19 10:46:18 AM 2.462 26.46 0.18 -83.1025 29.33002 4623.7 6.3396 5.0626 4.2259 15.625 SUW19 10:46:28 AM 2.492 26.45 0.18 -83.1024 29.3301 4634.4 1.2445 1.7227 2.5257 16.375 SUW19 10:46:38 AM 2.472 26.47 0.18 -83.1024 29.33018 4645.55 2.6181 3.7028 4.4657 15.625 SUW19 10:46:48 AM 2.492 26.45 0.18 -83.1023 29.33028 4657.5 1.6052 3.2496 5.9499 15.625 SUW19 10:46:58 AM 2.502 26.43 0.18 -83.1023 29.33035 4667.25 1.6812 3.1716 5.3299 16.125 SUW19 10:47:08 AM 2.487 26.48 0.18 -83.1022 29.33043 4678.55 3.7562 5.6018 6.3352 15.75 SUW19 10:47:18 AM 2.467 26.47 0.18 -83.1022 29.33052 4688.55 2.2946 2.9743 4.4734 16.25 SUW19

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85 Appendix 2 (Continued) 10:47:28 AM 2.487 26.46 0.18 -83.1021 29.3306 4698.55 3.6077 4.4422 4.8859 16.375 SUW19 10:47:38 AM 2.482 26.49 0.18 -83.1021 29.33068 4708.55 2.5774 3.9332 4.7358 16.375 SUW19 10:47:48 AM 2.456 26.48 0.18 -83.102 29.33077 4719.3 2.9195 4.0279 4.9995 16.125 SUW19 10:47:58 AM 2.492 26.43 0.18 -83.102 29.33085 4729.25 135.3643.265 2.5802 3.2937 4.3599 15.875 SUW19 10:48:08 AM 2.487 26.41 0.18 -83.1019 29.33097 4744.6 3.4866 2.905 3.991 16.375 SUW19 10:48:18 AM 2.462 26.4 0.18 -83.1019 29.33105 4754.6 2.3096 3.5097 5.8851 16.125 SUW19 10:48:28 AM 2.487 26.38 0.18 -83.1019 29.33113 4764 3.2092 3.5376 4.6173 16.5 SUW19 10:48:38 AM 2.462 26.41 0.18 -83.1018 29.33122 4774 4.7443 5.3307 5.4686 16.125 SUW19 10:48:48 AM 2.487 26.4 0.18 -83.1018 29.33133 4787.45 4.2068 12.5089 15.3026 16.125 SUW19 10:48:58 AM 2.507 26.44 0.18 -83.1018 29.33142 4799.15 5.0922 7.6608 11.5137 15.875 SUW19 10:49:08 AM 2.497 26.46 0.18 -83.1017 29.3315 4807.05 3.6083 4.1419 6.7093 16.125 SUW19 10:49:18 AM 2.487 26.47 0.18 -83.1017 29.33158 4818.55 6.0611 4.7326 5.7928 16.375 SUW19 10:49:28 AM 2.492 26.5 0.18 -83.1017 29.3317 4830.35 4.619 7.3244 10.9713 15.875 SUW19 10:49:38 AM 2.477 26.45 0.18 -83.1016 29.3318 4842.6 3.484 4.5521 9.0065 15.625 SUW19 10:49:48 AM 2.507 26.48 0.18 -83.1016 29.33188 4851.05 4.9927 5.3702 9.0678 16 SUW19 10:49:58 AM 2.507 26.45 0.18 -83.1016 29.332 4865.7 3.822 4.4259 8.9143 16.125 SUW19 10:50:08 AM 2.507 26.41 0.18 -83.1016 29.33208 4873.95 4.524 5.8428 11.2174 16.125 SUW19 10:50:18 AM 2.518 26.35 0.18 -83.1016 29.33218 4883.95 3.2243 5.229 9.7994 16.125 SUW19 10:50:28 AM 2.518 26.3 0.18 -83.1016 29.33227 4895.35 4.7223 10.8442 19.6963 16.125 SUW19 10:50:38 AM 2.534 26.33 0.18 -83.1016 29.33238 4907.35 2.619 6.5794 14.3407 16.5 SUW19 10:50:48 AM 2.528 26.33 0.18 -83.1015 29.33247 4918.8 5.4901 6.6907 9.5703 15.875 SUW19 10:50:58 AM 2.518 26.41 0.18 -83.1015 29.33257 4929.4 2.4962 3.5718 6.6836 16.375 SUW19 10:51:08 AM 2.549 26.41 0.18 -83.1015 29.33267 4941.8 4.5163 5.7502 8.9626 16.375 SUW19 10:51:18 AM 2.544 26.35 0.18 -83.1015 29.33277 4953.1 3.3292 5.2489 8.6975 16.125 SUW19 10:51:28 AM 2.523 26.34 0.18 -83.1014 29.33285 4965.5 3.7712 4.9986 7.537 16.75 SUW19 10:51:38 AM 2.565 26.36 0.18 -83.1014 29.33297 4975.5 4.5591 6.2412 9.0606 16.125 SUW19 10:51:48 AM 2.518 26.32 0.18 -83.1014 29.33305 4985.5 4.5618 6.6166 9.5136 15.625 SUW19 10:51:58 AM 2.554 26.35 0.18 -83.1014 29.33315 4996.75 3.9558 5.5672 8.5974 15.625 SUW19 10:52:08 AM 2.513 26.39 0.18 -83.1013 29.33323 5006.75 4.8124 6.2241 8.9435 15.625 SUW19 10:52:18 AM 2.512 26.41 0.18 -83.1013 29.33335 5020.7 5.0378 6.7322 9.2065 15.875 SUW19 10:52:28 AM 2.523 26.39 0.18 -83.1013 29.33343 5029.2 6.0378 7.4726 10.1211 16.125 SUW19 10:52:38 AM 2.538 26.44 0.18 -83.1013 29.33353 5040.05 4.7697 7.0268 10.8597 15.875 SUW19 10:52:48 AM 2.502 26.4 0.18 -83.1013 29.33365 5054.55 5.3725 7.6089 11.8106 16.125 SUW19

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86 Appendix 2 (Continued) 10:52:58 AM 2.518 26.3 0.18 -83.1013 29.33373 5066.95 145.29 3.398 6.7662 8.1343 11.3502 15.375 SUW19 10:53:08 AM 2.533 26.26 0.18 -83.1013 29.33383 5074.55 7.1365 8.2701 10.9585 16.125 SUW19 10:53:18 AM 2.518 26.38 0.18 -83.1012 29.33395 5087.8 5.8781 7.7586 10.2263 16.125 SUW19 10:53:28 AM 2.502 26.42 0.18 -83.1012 29.33403 5097.8 8.9586 9.3116 10.7183 15 SUW19 10:53:38 AM 2.528 26.42 0.18 -83.1012 29.33413 5109.6 7.7962 8.726 11.1709 16.125 SUW19 10:53:48 AM 2.544 26.46 0.18 -83.1012 29.33423 5122.9 5.035 6.2384 9.5256 15.625 SUW19 10:53:58 AM 2.523 26.46 0.18 -83.1012 29.33433 5135.2 8.3931 9.1649 11.6204 15.625 SUW19 10:54:08 AM 2.559 26.38 0.18 -83.1011 29.33442 5142.9 7.4201 8.7328 11.6422 15.375 SUW19 10:54:18 AM 2.533 26.38 0.18 -83.1011 29.3345 5154.25 7.801 8.9519 15.375 SUW19 10:54:28 AM 2.544 26.26 0.18 -83.101 29.33458 5164.85 6.5253 7.6382 15.375 SUW19 10:54:38 AM 2.565 26.32 0.18 -83.101 29.3347 5176.8 6.6668 7.278 15.375 SUW19 10:54:48 AM 2.538 26.33 0.18 -83.101 29.33478 5186.95 6.3581 6.5319 15.25 SUW19 10:54:58 AM 2.565 26.45 0.18 -83.101 29.33488 5199.05 7.4722 7.1065 15.375 SUW19 10:55:08 AM 2.533 26.36 0.18 -83.101 29.33498 5209.05 7.3717 7.2197 15.25 SUW19 10:55:18 AM 2.559 26.3 0.18 -83.1009 29.33508 5222.45 5.8542 6.7901 15 SUW19 10:55:28 AM 2.533 26.31 0.18 -83.1009 29.33517 5233.25 6.2136 7.2957 15.25 SUW19 10:55:38 AM 2.565 26.39 0.18 -83.1009 29.33525 5245.85 6.8947 6.867 15.375 SUW19 10:55:48 AM 2.565 26.49 0.18 -83.1008 29.33537 5257.8 5.8481 6.3438 15.25 SUW19 10:55:58 AM 2.549 26.54 0.18 -83.1008 29.33545 5269.35 6.6435 7.9483 15.25 SUW19 10:56:08 AM 2.565 26.55 0.18 -83.1007 29.33553 5282.5 3.9461 4.8702 15.375 SUW19 10:56:18 AM 2.554 26.53 0.18 -83.1007 29.3356 5291.3 2.3146 3.0101 15.625 SUW19 10:56:28 AM 2.538 26.63 0.18 -83.1006 29.33568 5301.3 3.1688 3.3552 15.25 SUW19 10:56:38 AM 2.549 26.68 0.18 -83.1005 29.33575 5313.15 1.6374 4.764 15.25 SUW19 10:56:48 AM 2.518 26.51 0.18 -83.1005 29.33583 5324.8 3.8139 5.9211 15.25 SUW19 10:56:58 AM 2.538 26.37 0.18 -83.1004 29.3359 5333.55 3.1696 5.5462 15.625 SUW19 10:57:08 AM 2.565 26.35 0.18 -83.1003 29.33598 5344.2 3.7242 5.7107 15.375 SUW19 10:57:18 AM 2.549 26.26 0.18 -83.1003 29.33607 5355.25 8.0669 7.3074 6.6861 15.375 SUW19 10:57:28 AM 2.523 26.27 0.18 -83.1002 29.33613 5366.1 11.0207 8.7681 14.75 SUW19 10:57:38 AM 2.533 26.26 0.18 -83.1001 29.33622 5378.25 4.3868 3.6978 4.1602 14.5 SUW19 10:57:48 AM 2.549 26.25 0.18 -83.1001 29.3363 5390.7 5.4154 3.3558 15.25 SUW19 10:57:58 AM 2.559 26.27 0.18 -83.1 29.3364 5402.3 139.2423.314 3.3261 3.2252 3.9028 15.25 SUW19 10:58:08 AM 2.559 26.27 0.18 -83.1 29.33645 5410.25 3.568 4.2146 5.3855 16.125 SUW19 10:58:18 AM 2.533 26.29 0.18 -83.0999 29.33652 5420.25 3.682 5.1194 6.6858 15.25 SUW19

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87 Appendix 2 (Continued) 10:58:28 AM 2.559 26.29 0.18 -83.0998 29.3366 5432.6 7.9557 10.6018 10.8935 15 SUW19 10:58:38 AM 2.57 26.34 0.18 -83.0998 29.33667 5442.6 6.7789 7.8092 8.4484 15.25 SUW19 10:58:48 AM 2.57 26.34 0.18 -83.0997 29.33675 5453.75 4.5364 5.0239 6.0392 15.25 SUW19 10:58:58 AM 2.533 26.36 0.18 -83.0996 29.33682 5463.75 6.0997 5.7866 15.375 SUW19 10:59:08 AM 2.538 26.38 0.18 -83.0995 29.33688 5478.1 6.4067 5.5484 6.0795 15.625 SUW19 10:59:18 AM 2.565 26.41 0.18 -83.0995 29.33697 5488.1 4.6949 4.6733 15 SUW19 10:59:28 AM 2.57 26.4 0.18 -83.0994 29.33703 5498.1 2.7608 3.4118 14.5 SUW19 10:59:38 AM 2.528 26.46 0.18 -83.0993 29.33708 5508.75 1.9628 2.3881 15.875 SUW19 10:59:48 AM 2.575 26.39 0.18 -83.0992 29.33712 5518.75 3.4075 3.7909 15.625 SUW19 10:59:58 AM 2.575 26.27 0.18 -83.0991 29.33715 5528.75 3.5951 4.044 15 SUW19 11:00:08 AM 2.533 26.22 0.18 -83.099 29.33717 5540.6 2.4944 4.4614 15.625 SUW19 11:00:18 AM 2.575 26.21 0.18 -83.0989 29.33717 5549.65 9.3629 11.9033 15.625 SUW19 11:00:28 AM 2.591 26.23 0.18 -83.0988 29.33715 5558 12.9348 12.4993 11.5763 15.875 SUW19 11:00:38 AM 2.58 26.21 0.18 -83.0987 29.33715 5569.6 9.5695 9.4012 10.1931 15.625 SUW19 11:00:48 AM 2.607 26.16 0.18 -83.0986 29.33715 5579.2 11.8417 10.7605 10.9493 14.75 SUW19 11:00:58 AM 2.564 26.12 0.18 -83.0985 29.33717 5591.15 10.0981 8.2981 8.9669 15.625 SUW19 11:01:08 AM 2.586 26.1 0.18 -83.0984 29.33718 5601.95 7.6883 7.3073 9.0289 15.625 SUW19 11:01:18 AM 2.591 26.12 0.18 -83.0983 29.33718 5612.85 8.0095 8.1488 10.492 15.375 SUW19 11:01:28 AM 2.586 26.16 0.18 -83.0982 29.3372 5622.9 8.226 7.3832 9.4367 15.75 SUW19 11:01:38 AM 2.58 26.2 0.18 -83.0981 29.33723 5634.25 8.1423 5.9888 6.9975 16 SUW19 11:01:48 AM 2.624 26.2 0.18 -83.098 29.33725 5644.9 6.7703 5.5963 6.7919 16 SUW19 11:01:58 AM 2.597 26.13 0.18 -83.0979 29.33727 5653.55 6.53 5.6147 6.9546 16.125 SUW19 11:02:08 AM 2.634 26.12 0.18 -83.0978 29.3373 5665.15 9.4949 7.9183 8.5352 16.125 SUW19 11:02:18 AM 2.629 26.12 0.18 -83.0977 29.3373 5675.15 9.526 8.7371 9.4857 16.5 SUW19 11:02:28 AM 2.618 26.06 0.18 -83.0976 29.3373 5685.2 9.4021 9.3617 10.4763 16.5 SUW19 11:02:38 AM 2.602 26.11 0.18 -83.0975 29.33732 5697.75 9.0273 9.0977 10.3255 16.375 SUW19 11:02:48 AM 2.591 26.15 0.18 -83.0974 29.33733 5707.1 10.5671 9.9139 10.7304 16.875 SUW19 11:02:58 AM 2.596 26.09 0.18 -83.0972 29.33733 5718.95 146.6413.436 9.9899 10.318 16.375 SUW19 11:03:08 AM 2.575 26.07 0.18 -83.0971 29.33733 5728.8 8.7542 10.2909 16.75 SUW19 11:03:18 AM 2.607 26.04 0.18 -83.097 29.33732 5739.75 8.5251 10.202 16.375 SUW19 11:03:28 AM 2.538 26.04 0.18 -83.0969 29.3373 5748.8 7.6236 9.5697 16.25 SUW19 11:03:38 AM 2.57 26.02 0.18 -83.0969 29.33723 5760.05 7.0098 9.6105 16.875 SUW19 11:03:48 AM 2.58 26.05 0.18 -83.0968 29.33718 5767.8 7.2365 9.0299 16.625 SUW19

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88 Appendix 2 (Continued) 11:03:58 AM 2.58 26.07 0.18 -83.0967 29.33715 5776.6 6.7587 8.4747 16.375 SUW19 11:04:08 AM 2.559 26.1 0.18 -83.0966 29.3371 5788.4 6.6412 8.0186 16.375 SUW19 11:04:18 AM 2.575 26.15 0.18 -83.0965 29.33705 5798.4 6.833 7.9553 16.25 SUW19 11:04:28 AM 2.554 26.24 0.18 -83.0965 29.33702 5808.1 7.6472 9.0854 16.25 SUW19 11:04:38 AM 2.57 26.29 0.18 -83.0964 29.33697 5816.15 8.1686 9.5166 16.25 SUW19 11:04:48 AM 2.586 26.32 0.18 -83.0963 29.3369 5829.6 9.4755 10.1392 16.75 SUW19 11:04:58 AM 2.586 26.32 0.18 -83.0962 29.33685 5838.45 8.828 9.6451 15.875 SUW19 11:05:08 AM 2.564 26.31 0.18 -83.0962 29.33678 5847.75 9.0659 9.4253 16.75 SUW19 11:05:18 AM 2.543 26.27 0.18 -83.0961 29.33672 5856.95 9.1626 9.0615 16.375 SUW19 11:05:28 AM 2.528 26.25 0.18 -83.0961 29.33665 5866.45 9.1364 8.8088 16.5 SUW19 11:05:38 AM 2.559 26.25 0.18 -83.096 29.33658 5875.7 9.3419 8.5233 16.375 SUW19 11:05:48 AM 2.528 26.23 0.18 -83.096 29.3365 5887.95 10.2914 9.4291 16.375 SUW19 11:05:58 AM 2.533 26.19 0.18 -83.0959 29.33643 5896.9 10.2134 9.4209 16.375 SUW19 11:06:08 AM 2.528 26.21 0.18 -83.0959 29.33637 5905.05 11.5055 10.5664 16.375 SUW19 11:06:18 AM 2.544 26.19 0.18 -83.0958 29.3363 5915.55 12.9682 10.2387 9.7716 16.125 SUW19 11:06:28 AM 2.538 26.17 0.18 -83.0958 29.33625 5922.8 12.4736 10.7217 16.5 SUW19 11:06:38 AM 2.528 26.16 0.18 -83.0957 29.33618 5932.15 11.8492 11.0825 11.4203 16.625 SUW19 11:06:48 AM 2.559 26.11 0.18 -83.0957 29.3361 5943.7 10.2035 10.3344 11.6649 16.375 SUW19 11:06:58 AM 2.533 26.1 0.18 -83.0956 29.33603 5951.2 8.0076 9.3731 11.9335 16.625 SUW19 11:07:08 AM 2.549 26.12 0.18 -83.0956 29.33595 5961.2 6.0161 7.7756 10.993 16.75 SUW19 11:07:18 AM 2.57 26.16 0.18 -83.0956 29.33585 5971.2 7.4514 8.7104 11.6627 16.75 SUW19 11:07:28 AM 2.565 26.16 0.18 -83.0956 29.33577 5982.3 8.5276 9.6141 12.5993 16.125 SUW19 11:07:38 AM 2.549 26.16 0.18 -83.0956 29.33568 5992.05 7.5792 10.6086 16.5 SUW19 11:07:48 AM 2.57 26.16 0.18 -83.0957 29.3356 6001.35 7.0865 10.667 16.375 SUW19 11:07:58 AM 2.554 26.22 0.18 -83.0957 29.33552 6010.65 143.7233.389 7.7982 11.2625 16.125 SUW19 11:08:08 AM 2.538 26.24 0.18 -83.0956 29.33543 6020.65 8.2446 11.2369 16.375 SUW19 11:08:18 AM 2.538 26.22 0.18 -83.0956 29.33537 6029.3 7.6758 10.8511 15.375 SUW19 11:08:28 AM 2.543 26.25 0.18 -83.0956 29.33528 6039.3 8.8362 10.9679 16.125 SUW19 11:08:38 AM 2.533 26.24 0.18 -83.0955 29.33522 6048.75 9.407 11.0896 16.375 SUW19 11:08:48 AM 2.57 26.22 0.18 -83.0955 29.33515 6058.75 6.4074 11.3366 16.375 SUW19 11:08:58 AM 2.554 26.18 0.18 -83.0954 29.33508 6067.8 8.174 14.5155 15.625 SUW19 11:09:08 AM 2.559 26.13 0.18 -83.0954 29.335 6077.8 6.8146 11.8705 15.375 SUW19 11:09:18 AM 2.549 26.09 0.18 -83.0953 29.33493 6087.8 8.3991 11.5125 15.375 SUW19

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89 Appendix 2 (Continued) 11:09:28 AM 2.538 26.06 0.18 -83.0953 29.33487 6096.2 10.7457 12.8642 15.25 SUW19 11:09:38 AM 2.512 26.03 0.18 -83.0952 29.33478 6106.15 11.1881 12.6819 15.625 SUW19 11:09:48 AM 2.497 26.04 0.18 -83.0952 29.33472 6114.5 12.7366 15.188 15.625 SUW19 11:09:58 AM 2.523 26.1 0.18 -83.0952 29.33463 6124.5 12.6505 15.0449 15.625 SUW19 11:10:08 AM 2.544 26.1 0.18 -83.0951 29.33457 6133.15 13.1636 16.1095 15.375 SUW19 11:10:18 AM 2.523 26.11 0.18 -83.0951 29.33448 6143.15 12.3704 15.3476 15.375 SUW19 11:10:28 AM 2.564 26.09 0.18 -83.095 29.33442 6154.6 9.7802 13.9041 15.875 SUW19 11:10:38 AM 2.554 26.09 0.18 -83.095 29.33435 6162.8 9.0134 13.0907 15.25 SUW19 11:10:48 AM 2.528 26.1 0.18 -83.095 29.33428 6170.55 9.9146 13.5304 15.625 SUW19 11:10:58 AM 2.564 26.04 0.18 -83.0949 29.33425 6178.15 11.0532 14.2234 15.25 SUW19 11:11:08 AM 2.528 26.06 0.18 -83.0948 29.33418 6189.85 12.4952 15.1197 15.25 SUW19 11:11:18 AM 2.543 26.1 0.18 -83.0947 29.33413 6199.3 13.2616 15.6456 15 SUW19 11:11:28 AM 2.564 26.08 0.18 -83.0947 29.33408 6208.2 12.2521 14.0355 15.25 SUW19 11:11:38 AM 2.57 26.08 0.18 -83.0946 29.33402 6217.25 11.3995 13.1261 15.875 SUW19 11:11:48 AM 2.512 26.11 0.18 -83.0946 29.33397 6225.8 10.085 12.5847 15.375 SUW19 11:11:58 AM 2.554 26.08 0.18 -83.0945 29.3339 6232.8 12.7933 15.0356 15.375 SUW19 11:12:08 AM 2.528 26.11 0.18 -83.0944 29.33383 6242.8 16.6353 18.265 15.375 SUW19 11:12:18 AM 2.549 26.16 0.18 -83.0944 29.33378 6252.8 20.8274 22.4069 15.25 SUW19 11:12:28 AM 2.554 26.14 0.18 -83.0943 29.33372 6262.933 22.4181 23.2438 15.25 SUW19 11:12:38 AM 2.533 26.15 0.18 -83.0943 29.33365 6266.6 14.75 SUW19 9:08:35 1.119 25.89 0.18 -83.1301 29.3207 115.6 1.0995 17.25 SUW8 9:08:55 1.116 25.89 0.18 -83.13 29.3206 120.65 1.094 17 SUW8 9:09:15 1.119 25.88 0.18 -83.1299 29.3206 135.35 1.118 16.25 SUW8 9:09:35 1.109 25.87 0.18 -83.1298 29.3205 146.95 0.76158 16.75 SUW8 9:09:56 1.109 25.85 0.18 -83.1297 29.3204 161.7 1.1296 17.25 SUW8 9:10:16 1.116 25.81 0.18 -83.1296 29.3204 173.9 0.91656 17.25 SUW8 9:10:36 1.116 25.81 0.18 -83.1295 29.3203 189.35 1.2408 17.25 SUW8 9:10:56 1.116 25.84 0.18 -83.1294 29.3203 201.25 0.88987 16.5 SUW8 9:11:16 1.114 25.83 0.18 -83.1292 29.3202 214.5 0.77248 17.25 SUW8 9:11:36 1.114 25.83 0.18 -83.1291 29.3202 226.7 0.95144 17.25 SUW8 9:11:56 1.124 25.83 0.18 -83.129 29.3201 241.95 0.87322 16.75 SUW8 9:12:16 1.121 25.83 0.18 -83.1289 29.32 261.95 0.93385 16.5 SUW8 9:12:36 1.116 25.82 0.17 -83.1287 29.3199 281.75 1.0963 16.75 SUW8 9:12:56 1.126 25.82 0.17 -83.1285 29.3198 304.1 0.87393 15.75 SUW8 9:13:16 1.129 25.8 0.17 -83.1283 29.3197 326.55 0.89464 16.75 SUW8 9:13:36 1.126 25.81 0.17 -83.1281 29.3196 347.6 0.98148 16.75 SUW8 9:13:56 1.152 25.82 0.17 -83.1279 29.3196 368.75 0.92113 17.25 SUW8 9:14:16 1.152 25.81 0.17 -83.1278 29.3194 388.05 1.2364 17 SUW8 9:14:56 1.157 25.81 0.17 -83.1274 29.3192 427.3 90.210 1.874 1.0279 17 SUW8

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90 Appendix 2 (Continued) 9:15:16 1.155 25.82 0.17 -83.1274 29.3192 439.05 0.89581 16.75 SUW8 9:15:36 1.152 25.82 0.17 -83.1273 29.3191 452.7 0.89726 16.75 SUW8 9:15:56 1.149 25.83 0.17 -83.1271 29.319 469.45 0.9421 17.25 SUW8 9:16:16 1.15 25.82 0.18 -83.1269 29.319 486.65 1.2311 17.25 SUW8 9:16:36 1.163 25.8 0.17 -83.1268 29.3189 505.4 0.92873 17.25 SUW8 9:16:56 1.155 25.83 0.18 -83.1266 29.3188 526.65 1.0118 16.75 SUW8 9:17:16 1.176 25.85 0.18 -83.1264 29.3188 550.05 1.0472 16.5 SUW8 9:17:36 1.179 25.83 0.18 -83.1262 29.3187 570.65 1.0141 17.25 SUW8 9:17:56 1.181 25.86 0.18 -83.126 29.3186 589.05 0.85938 16.5 SUW8 9:18:16 1.171 25.82 0.18 -83.1258 29.3185 609.15 1.0293 16.25 SUW8 9:18:36 1.181 25.84 0.18 -83.1256 29.3185 630.05 1.2165 17 SUW8 9:18:56 1.187 25.82 0.17 -83.1254 29.3184 648.75 1.1864 16.75 SUW8 9:19:16 1.19 25.84 0.18 -83.1252 29.3184 669.55 1.2602 16.75 SUW8 9:19:36 1.192 25.85 0.18 -83.125 29.3183 688.25 1.0114 17.5 SUW8 9:19:56 1.179 25.83 0.18 -83.1248 29.3183 709.2 1.1401 17.25 SUW8 9:20:16 1.19 25.82 0.17 -83.1246 29.3182 732.4 1.2622 17 SUW8 9:20:36 1.209 25.84 0.17 -83.1244 29.3182 748.95 1.1338 17.625 SUW8 9:20:56 1.201 25.84 0.17 -83.1242 29.3181 772.4 1.3294 17.25 SUW8 9:21:16 1.214 25.84 0.17 -83.124 29.3181 791.3 1.0632 17.5 SUW8 9:21:36 1.209 25.84 0.17 -83.1238 29.3181 813.25 0.93907 17.625 SUW8 9:21:56 1.214 25.85 0.17 -83.1236 29.3181 834.9 1.0415 17.5 SUW8 9:22:16 1.217 25.84 0.17 -83.1234 29.3181 853.25 1.2504 17.625 SUW8 9:22:36 1.206 25.84 0.18 -83.1232 29.318 874.8 1.37 17 SUW8 9:22:56 1.212 25.85 0.18 -83.123 29.318 893.95 108.8932.071 1.2243 17.5 SUW8 9:23:16 1.212 25.85 0.18 -83.1228 29.318 915.65 1.2253 17.25 SUW8 9:23:36 1.209 25.85 0.18 -83.1226 29.318 934.8 1.2919 17.25 SUW8 9:23:56 1.22 25.9 0.18 -83.1224 29.318 956.35 1.2334 17 SUW8 9:24:16 1.231 25.91 0.18 -83.1222 29.318 978.25 1.2816 17.5 SUW8 9:24:36 1.226 25.91 0.18 -83.1219 29.3179 998 98.971 1.971 1.5324 17 SUW8 9:24:56 1.24 25.89 0.18 -83.1218 29.3179 1019.4 1.3902 17.625 SUW8 9:25:16 1.243 25.92 0.18 -83.1216 29.3178 1040.55 1.5404 16.75 SUW8 9:25:36 1.229 25.95 0.18 -83.1214 29.3177 1060.5 1.4148 17 SUW8 9:25:56 1.229 25.94 0.18 -83.1212 29.3176 1080.5 1.6427 16.75 SUW8 9:26:16 1.24 25.96 0.18 -83.1211 29.3175 1099.15 1.5955 16.25 SUW8 9:46:56 1.285 26.3 0.19 -83.12 29.3164 145.3 2.6209 2.548 2.4919 16.75 SUW9 9:47:16 1.273 26.42 0.19 -83.12 29.3162 154.15 1.9236 2.1145 2.2924 16.25 SUW9 9:47:36 1.279 26.42 0.19 -83.1199 29.3161 173.75 1.8843 2.0042 2.108 16 SUW9 9:47:56 1.285 26.41 0.19 -83.1199 29.3159 193.75 1.97 1.8414 1.9487 15.75 SUW9 9:48:16 1.294 26.38 0.19 -83.1198 29.3157 216.55 1.9574 1.803 1.844 16 SUW9 9:48:36 1.279 26.37 0.19 -83.1197 29.3155 238.4 1.5395 1.5132 2.0324 15.75 SUW9 9:48:56 1.276 26.41 0.19 -83.1196 29.3154 257.5 1.4523 1.6 2.2835 16.25 SUW9 9:49:16 1.286 26.49 0.19 -83.1195 29.3152 277.9 1.3864 1.4094 1.9399 16 SUW9 9:49:36 1.286 26.46 0.19 -83.1195 29.315 298.65 1.6439 1.4932 16.25 SUW9 9:49:56 1.283 26.37 0.19 -83.1194 29.3149 321.3 1.5508 1.6008 2.0491 16.5 SUW9 9:50:16 1.268 26.34 0.19 -83.1193 29.3147 339.9 1.5371 1.4621 16.5 SUW9 9:50:36 1.271 26.26 0.19 -83.1192 29.3145 365.3 2.2784 1.4425 1.7098 16.25 SUW9 9:50:56 1.268 26.24 0.19 -83.1192 29.3143 383.75 1.4183 0.88029 1.4759 16.5 SUW9

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91 Appendix 2 (Continued) 9:51:16 1.283 26.28 0.19 -83.1192 29.3141 406 1.0405 1.0256 1.3761 16.25 SUW9 9:51:36 1.271 26.37 0.19 -83.1191 29.3139 428.5 2.1476 1.3448 16.5 SUW9 9:51:56 1.277 26.2 0.19 -83.1192 29.3137 450.55 1.6975 1.3127 17 SUW9 9:52:16 1.271 26.19 0.19 -83.1192 29.3136 469.5 1.0475 1.1649 16.5 SUW9 9:52:36 1.274 26.23 0.19 -83.1192 29.3134 493.25 1.1712 1.2373 17 SUW9 9:52:56 1.283 26.3 0.19 -83.1192 29.3132 513.85 0.92107 1.0977 17.25 SUW9 9:53:16 1.278 26.31 0.19 -83.1192 29.313 535.55 0.97393 1.2405 16.75 SUW9 9:53:36 1.268 26.36 0.19 -83.1192 29.3128 558.4 1.1546 1.4354 17 SUW9 9:53:56 1.271 26.32 0.19 -83.1193 29.3126 580.25 0.91929 1.1049 17.5 SUW9 9:54:16 1.271 26.19 0.2 -83.1193 29.3124 601.05 0.94207 1.1451 17.5 SUW9 9:54:36 1.277 26.3 0.21 -83.1194 29.3122 621.05 1.1171 1.3284 16.75 SUW9 9:54:56 1.268 26.32 0.21 -83.1194 29.3121 641.05 1.1164 1.2469 17 SUW9 9:55:16 1.271 26.42 0.22 -83.1195 29.3119 665.05 108.5852.057 1.2897 1.2799 16.5 SUW9 9:55:36 1.269 26.41 0.22 -83.1195 29.3117 683.8 0.69434 0.79863 16.75 SUW9 9:55:56 1.262 26.42 0.22 -83.1196 29.3115 702.45 0.79491 0.83663 17 SUW9 9:56:16 1.265 26.28 0.23 -83.1196 29.3113 725.8 0.90153 0.89247 16.5 SUW9 9:56:36 1.28 26.27 0.23 -83.1196 29.3112 742.45 1.3632 1.0756 17.25 SUW9 9:56:56 1.274 26.26 0.23 -83.1196 29.311 765.55 0.84916 0.87623 16.5 SUW9 9:57:16 1.265 26.29 0.23 -83.1196 29.3108 784.6 0.78489 0.80022 16.25 SUW9 9:57:36 1.277 26.33 0.23 -83.1196 29.3106 803.95 1.4583 0.97498 16.5 SUW9 9:57:56 1.268 26.33 0.23 -83.1196 29.3104 824.2 1.4179 1.0014 16.25 SUW9 9:58:16 1.268 26.35 0.22 -83.1196 29.3103 843.75 1.134 0.92039 17 SUW9 9:58:36 1.271 26.5 0.25 -83.1196 29.3101 865.4 0.97198 0.7837 16.75 SUW9 9:58:56 1.268 26.43 0.24 -83.1195 29.3099 883.65 1.1412 1.0724 16.25 SUW9 9:59:16 1.268 26.42 0.25 -83.1195 29.3097 906.45 1.3011 0.83625 16 SUW9 9:59:36 1.268 26.38 0.27 -83.1195 29.3096 924.9 1.2261 1.0819 16 SUW9 9:59:56 1.271 26.37 0.29 -83.1194 29.3094 945.75 1.095 0.88007 16.75 SUW9 10:00:16 1.28 26.39 0.3 -83.1193 29.3092 966.25 1.4823 1.0448 16.5 SUW9 10:00:36 1.265 26.4 0.31 -83.1192 29.309 989.1 1.3607 1.1447 16 SUW9 10:00:56 1.277 26.39 0.31 -83.1192 29.3089 1006.1 0.81119 0.90979 16.5 SUW9 10:01:16 1.268 26.42 0.32 -83.1192 29.3087 1027.5 0.92119 0.92823 16.25 SUW9 10:01:36 1.262 26.44 0.28 -83.119 29.3085 1047.9 1.5596 0.87916 16.25 SUW9 10:01:56 1.277 26.43 0.25 -83.1189 29.3084 1066.05 1.716 0.97624 16.5 SUW9 10:02:16 1.274 26.41 0.25 -83.1187 29.3083 1086 1.889 1.0793 16.25 SUW9 10:02:36 1.268 26.39 0.25 -83.1185 29.3083 1106.3 1.927 1.0902 16.25 SUW9 10:02:56 1.259 26.38 0.24 -83.1183 29.3082 1127.35 1.6459 1.0944 16.5 SUW9 10:03:16 1.268 26.38 0.24 -83.1181 29.3082 1147.7 0.95462 0.87338 16.25 SUW9 10:03:36 1.268 26.37 0.25 -83.1179 29.3082 1168.65 0.56935 0.73716 16 SUW9 10:03:56 1.262 26.28 0.26 -83.1177 29.3082 1190.25 0.91168 0.99899 16.75 SUW9 10:04:16 1.274 26.3 0.25 -83.1175 29.3081 1208.25 0.77876 0.59043 16.75 SUW9 10:04:36 1.274 26.37 0.24 -83.1173 29.3081 1231 0.75174 0.82571 17 SUW9 10:04:56 1.262 26.41 0.24 -83.1171 29.3081 1251.05 102.9952.002 0.83205 0.92417 16.5 SUW9 10:05:16 1.25 26.39 0.24 -83.1169 29.308 1272.5 1.2704 1.0585 17.25 SUW9 10:05:36 1.277 26.36 0.25 -83.1167 29.308 1292.1 0.79022 1.0696 16.5 SUW9 10:05:56 1.265 26.36 0.24 -83.1165 29.308 1312.05 0.66929 0.76866 16.5 SUW9 10:06:16 1.283 26.36 0.24 -83.1163 29.3079 1331.65 0.41418 1.2226 16 SUW9 10:06:36 1.277 26.35 0.25 -83.1161 29.3078 1353.4 0.54903 1.1273 16.5 SUW9

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92 Appendix 2 (Continued) 10:06:56 1.265 26.31 0.25 -83.1159 29.3077 1374.6 0.49833 1.2699 16.25 SUW9 10:07:16 1.262 26.34 0.25 -83.1158 29.3075 1395.3 0.59391 1.4196 16.5 SUW9 10:07:36 1.262 26.38 0.25 -83.1157 29.3074 1420.35 0.83617 1.012 16.25 SUW9 10:07:56 1.265 26.43 0.26 -83.1156 29.3072 1443.75 0.95998 1.544 16.75 SUW9 10:08:16 1.268 26.44 0.26 -83.1156 29.307 1467.8 0.54929 1.7122 16.25 SUW9 10:08:36 1.283 26.41 0.26 -83.1156 29.3068 1488.25 0.53444 1.6899 16.25 SUW9 10:08:56 1.275 26.25 0.27 -83.1156 29.3066 1512.95 0.75314 1.6949 16.5 SUW9 10:09:16 1.287 26.25 0.27 -83.1156 29.3064 1535.6 1.0446 1.6163 15.75 SUW9 10:09:36 1.269 26.46 0.27 -83.1156 29.3062 1558 0.68454 1.7818 15.75 SUW9 10:09:56 1.281 26.42 0.35 -83.1157 29.306 1579.9 1.008 1.4254 15.5 SUW9 10:10:16 1.266 26.55 0.54 -83.1157 29.3058 1603.4 1.6223 1.6554 15.25 SUW9 10:10:36 1.26 26.55 0.29 -83.1157 29.3056 1625.1 0.82975 2.6915 15.5 SUW9 10:10:56 1.274 26.51 0.27 -83.1157 29.3054 1646.55 0.71658 1.5795 15.75 SUW9 10:11:16 1.284 26.38 0.29 -83.1158 29.3052 1666.85 1.4398 1.9586 15.5 SUW9 10:11:36 1.269 26.35 0.29 -83.1158 29.305 1689.7 0.79858 1.9382 15.5 SUW9 10:11:56 1.272 26.41 0.27 -83.1158 29.3048 1712.55 1.7758 1.5526 15.75 SUW9 10:12:16 1.278 26.41 0.28 -83.1158 29.3046 1733.1 0.57409 1.4794 15.75 SUW9 10:12:36 1.277 26.37 0.3 -83.1158 29.3044 1758.1 1.212 1.6699 15.25 SUW9 10:12:56 1.293 26.36 0.33 -83.1159 29.3042 1781.75 2.3782 1.2253 15.5 SUW9 10:13:16 1.284 26.51 0.35 -83.1159 29.304 1804.4 1.1864 2.3499 15.5 SUW9 10:13:36 1.281 26.5 0.34 -83.116 29.3038 1825.1 1.052 1.5031 15.75 SUW9 10:13:56 1.268 26.44 0.31 -83.1162 29.3037 1847.8 0.99574 1.1725 15.5 SUW9 10:14:16 1.278 26.34 0.32 -83.1163 29.3035 1868.9 0.803 1.147 1.0667 15.75 SUW9 10:14:36 1.275 26.44 0.3 -83.1164 29.3033 1893.45 1.7575 0.92396 0.6336 16 SUW9 10:14:56 1.274 26.46 0.3 -83.1166 29.3032 1915.95 108.8522.061 1.4375 1.4452 0.96801 15 SUW9 10:15:16 1.278 26.53 0.29 -83.1168 29.3031 1939.95 1.0883 1.5698 1.1602 15 SUW9 10:15:36 1.26 26.61 0.48 -83.1169 29.3029 1964.55 0.66099 1.3429 1.4501 15.75 SUW9 10:15:56 1.269 26.6 0.38 -83.117 29.3028 1984.2 0.86408 1.738 15.25 SUW9 10:16:16 1.266 26.55 0.31 -83.1171 29.3026 2005.15 0.78232 1.5658 16.25 SUW9 10:16:36 1.275 26.52 0.34 -83.1172 29.3024 2030.65 0.7404 2.2311 16 SUW9 10:16:56 1.26 26.59 0.35 -83.1173 29.3022 2052.3 0.53458 1.6931 16.25 SUW9 10:17:16 1.266 26.6 0.35 -83.1174 29.302 2074.15 1.0315 1.7735 0.97294 17 SUW9 10:17:36 1.275 26.58 0.37 -83.1175 29.3019 2097 0.68561 1.527 0.80965 17.25 SUW9 10:17:56 1.266 26.56 0.37 -83.1175 29.3016 2120.25 0.77595 1.7791 1.1929 16.5 SUW9 10:18:16 1.272 26.59 0.34 -83.1176 29.3015 2140.5 0.72715 1.4713 1.6985 17.25 SUW9 10:18:36 1.269 26.61 0.34 -83.1175 29.3013 2161.6 0.87165 1.7764 1.5261 17.5 SUW9 10:18:56 1.254 26.6 0.36 -83.1175 29.3011 2183.05 0.74816 1.3643 17.875 SUW9 10:19:16 1.254 26.66 0.35 -83.1173 29.301 2204.3 0.61868 1.2154 17.25 SUW9 10:19:36 1.254 26.67 0.34 -83.1172 29.3008 2228.15 0.66378 1.5051 17.625 SUW9 10:19:56 1.254 26.66 0.35 -83.117 29.3007 2250.15 0.58036 1.6623 17.875 SUW9 10:20:16 1.251 26.68 0.34 -83.1168 29.3006 2272.95 0.60264 1.9273 17.875 SUW9 10:20:36 1.257 26.66 0.36 -83.1166 29.3005 2294.3 0.64662 0.9994 17.625 SUW9 10:20:56 1.254 26.61 0.38 -83.1164 29.3004 2317.75 2.4992 1.2103 17.875 SUW9 10:21:16 1.254 26.54 0.44 -83.1162 29.3004 2338.7 0.38823 4.2139 17.875 SUW9 10:21:36 1.245 26.52 0.44 -83.116 29.3004 2359.35 0.45845 11.9085 17.875 SUW9 10:21:56 1.236 26.52 0.47 -83.1157 29.3004 2383.1 0.9709 4.9682 17.875 SUW9 10:22:16 1.26 26.51 0.49 -83.1155 29.3004 2405.65 0.73307 4.1792 17.625 SUW9

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93 Appendix 2 (Continued) 10:22:36 1.234 26.59 0.47 -83.1153 29.3004 2427.3 1.2462 1.8263 17.5 SUW9 10:22:56 1.248 26.59 0.51 -83.115 29.3004 2448.9 0.89322 1.4167 17.25 SUW9 10:23:16 1.254 26.6 0.46 -83.1149 29.3004 2467 0.94955 1.2757 1.976 16.75 SUW9 10:23:36 1.242 26.65 0.47 -83.1147 29.3004 2488.05 0.53093 2.0764 1.32 17 SUW9 10:23:56 1.248 26.68 0.46 -83.1145 29.3004 2510.15 0.73797 1.1547 1.1941 17.5 SUW9 10:24:16 1.242 26.68 0.47 -83.1142 29.3003 2531.5 0.55247 1.3858 1.4574 16.75 SUW9 10:24:36 1.251 26.69 0.49 -83.114 29.3002 2553.8 0.83759 1.4423 0.94883 16.5 SUW9 10:24:56 1.254 26.66 0.5 -83.1139 29.3001 2574.55 108.0672.06 0.50035 1.7916 0.81882 16.75 SUW9 10:25:16 1.245 26.7 0.51 -83.1138 29.2999 2595.7 0.32393 1.5365 17 SUW9 10:25:36 1.245 26.7 0.52 -83.1137 29.2997 2621.65 0.35776 2.5084 17 SUW9 10:25:56 1.254 26.75 0.51 -83.1137 29.2995 2645.7 0.35434 2.3347 16.5 SUW9 10:26:16 1.242 26.75 0.53 -83.1137 29.2993 2666.65 0.96337 0.79693 16.5 SUW9 10:26:36 1.251 26.73 0.51 -83.1137 29.2991 2690.85 6.0769 1.0054 16.75 SUW9 10:26:56 1.254 26.75 0.51 -83.1136 29.2989 2713.1 0.24675 4.2025 16.75 SUW9 10:27:16 1.242 26.73 0.52 -83.1135 29.2987 2736.65 0.73079 3.3287 17 SUW9 10:27:36 1.245 26.74 0.51 -83.1134 29.2986 2758.9 2.4893 2.2102 17.25 SUW9 10:27:56 1.251 26.75 0.53 -83.1132 29.2984 2782.85 0.56405 0.876 16.625 SUW9 10:28:16 1.254 26.75 0.54 -83.1131 29.2982 2803.6 0.67987 1.9705 16.75 SUW9 10:28:36 1.251 26.75 0.54 -83.1129 29.2981 2829.45 0.52151 2.209 1.5339 17.25 SUW9 10:28:56 1.266 26.74 0.53 -83.1127 29.2979 2855.9 0.77879 3.2927 2.1185 17 SUW9 10:29:16 1.254 26.75 0.57 -83.1126 29.2978 2875.4 0.99702 2.2025 17.25 SUW9 10:29:36 1.245 26.74 0.57 -83.1124 29.2977 2899.25 1.5359 4.2267 1.527 16.75 SUW9 10:29:56 1.251 26.75 0.58 -83.1122 29.2976 2922.85 1.0985 1.8877 1.7385 16.5 SUW9 10:30:16 1.243 26.79 0.64 -83.112 29.2975 2943.05 0.25335 0.62887 1.0058 17 SUW9 10:30:36 1.245 26.81 0.63 -83.1118 29.2974 2968 0.55727 2.1513 1.1161 16.75 SUW9 10:30:56 1.245 26.79 0.65 -83.1115 29.2973 2990.75 0.17997 0.70681 0.78975 16.5 SUW9 10:31:16 1.242 26.82 0.66 -83.1114 29.2972 3014.35 0.1915 0.58114 0.39775 16.25 SUW9 10:31:36 1.242 26.79 0.66 -83.1112 29.297 3037 0.3305 0.4737 16.25 SUW9 10:31:56 1.234 26.81 0.67 -83.1111 29.2969 3060.25 0.32581 1.3455 16.25 SUW9 10:32:16 1.242 26.8 0.67 -83.111 29.2967 3082.25 0.20017 1.5013 16.75 SUW9 10:32:36 1.251 26.81 0.74 -83.1109 29.2965 3107.8 1.4029 0.95005 16.5 SUW9 10:32:56 1.254 26.82 0.72 -83.1107 29.2963 3131.45 150.5313 1.6992 16.25 SUW9 10:33:16 1.243 26.82 0.7 -83.1107 29.2961 3155.25 0.24995 0.77002 16 SUW9 10:33:36 1.24 26.83 0.73 -83.1106 29.2959 3179.65 0.3076 0.70048 17.5 SUW9 10:33:56 1.24 26.78 0.71 -83.1105 29.2957 3202.45 0.50044 1.3509 16.25 SUW9 10:34:16 1.237 26.82 0.69 -83.1105 29.2955 3226.25 1.0033 1.2262 16.75 SUW9 10:34:36 1.245 26.89 0.6 -83.1104 29.2953 3250.65 0.50863 1.4295 16.75 SUW9 10:34:56 1.228 26.87 0.58 -83.1104 29.2951 3275.1 104.3692.021 1.1197 0.72821 17.25 SUW9 10:35:16 1.225 26.87 0.57 -83.1105 29.2949 3300.4 0.20795 0.46822 17.25 SUW9 10:35:36 1.231 26.85 0.54 -83.1106 29.2947 3326.15 0.57074 1.1479 17.25 SUW9 10:35:56 1.243 26.86 0.55 -83.1107 29.2945 3348.85 0.2019 0.58064 17.5 SUW9 10:36:16 1.24 26.85 0.56 -83.1108 29.2943 3371.25 0.31507 0.73348 17.875 SUW9 10:36:36 1.231 26.83 0.54 -83.1109 29.2941 3397.35 0.32572 0.80011 1.0641 17.625 SUW9 10:36:56 1.217 26.85 0.54 -83.1111 29.294 3419.55 0.49521 1.3048 17.5 SUW9 10:37:16 1.232 26.84 0.54 -83.1112 29.2938 3444.45 0.90209 0.96304 18.375 SUW9 10:37:36 1.217 26.81 0.53 -83.1114 29.2937 3465.55 0.7226 0.89621 18.125 SUW9 10:37:56 1.231 26.82 0.52 -83.1116 29.2935 3491.05 0.50148 5.1259 1.5528 17 SUW9

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94 Appendix 2 (Continued) 10:38:16 1.217 26.86 0.52 -83.1118 29.2934 3514.7 0.69297 7.9252 6.2715 16.25 SUW9 10:38:36 1.217 26.9 0.53 -83.1119 29.2932 3534.7 0.38562 2.3875 16.5 SUW9 10:38:56 1.228 26.86 0.53 -83.112 29.293 3559.95 1.1969 2.7957 16.25 SUW9 10:39:16 1.209 26.87 0.54 -83.1121 29.2928 3582.45 0.48256 3.1421 1.9833 16.5 SUW9 10:39:36 1.206 26.88 0.54 -83.1122 29.2926 3609.75 0.67887 1.6377 16 SUW9 10:39:56 1.215 26.87 0.55 -83.1123 29.2924 3632 0.53668 1.7902 16.5 SUW9 10:40:16 1.211 26.89 0.57 -83.1124 29.2922 3656.75 1.8596 2.3896 15.75 SUW9 10:40:36 1.217 26.93 0.59 -83.1124 29.292 3680.4 0.42649 0.69217 16 SUW9 10:40:56 1.217 26.92 0.61 -83.1125 29.2918 3706.55 0.69265 1.6524 15.5 SUW9 10:41:16 1.194 26.92 0.62 -83.1126 29.2916 3730.6 0.34792 0.97857 1.3312 15.25 SUW9 10:41:36 1.208 26.96 0.64 -83.1127 29.2914 3752.45 0.36785 1.0899 15.75 SUW9 10:41:56 1.211 26.99 0.64 -83.1128 29.2912 3779.3 0.56072 1.0553 15.25 SUW9 10:42:16 1.228 26.99 0.71 -83.1129 29.291 3801.85 0.81044 1.7235 15 SUW9 10:42:36 1.223 27.04 0.65 -83.113 29.2908 3825.65 0.33599 0.97161 16 SUW9 10:42:56 1.2 27.03 0.62 -83.113 29.2906 3851.7 0.27833 1.4616 15.5 SUW9 10:43:16 1.208 27.06 0.64 -83.113 29.2904 3872 0.28607 1.2346 16 SUW9 10:43:36 1.209 27.06 0.68 -83.1131 29.2902 3895.65 0.65451 2.2549 15.25 SUW9 10:43:56 1.206 27.09 0.76 -83.1131 29.29 3919.9 0.66833 2.0872 15.5 SUW9 10:44:16 1.211 27.14 0.79 -83.1131 29.2898 3944.45 0.76417 0.99097 15.75 SUW9 10:44:36 1.209 27.11 0.84 -83.1131 29.2895 3967.9 1.1688 1.4819 15.75 SUW9 10:44:56 1.197 27.06 0.9 -83.1131 29.2893 3990.1 104.2512.016 2.1295 11.9346 15.75 SUW9 10:45:16 1.203 27.09 0.98 -83.1131 29.2891 4011.8 5.4574 52.9732 15.5 SUW9 10:45:36 1.203 27.1 1.05 -83.1131 29.2889 4036.85 3.491 3.4656 16.25 SUW9 10:45:56 1.198 27 1.32 -83.1131 29.2887 4061.6 1.0251 2.2698 15.25 SUW9 10:46:16 1.212 26.93 3.27 -83.1131 29.2885 4085.2 0.3239 1.3123 16.5 SUW9 10:46:36 1.198 26.94 2.88 -83.1131 29.2883 4107.2 0.68082 3.3913 16.75 SUW9 10:46:56 1.195 26.97 4.48 -83.1132 29.2881 4132.15 0.87179 2.1194 16 SUW9 10:47:16 1.198 27.08 6.16 -83.1131 29.2878 4157.15 0.58293 2.4442 16.5 SUW9 10:47:36 1.203 27.15 5.04 -83.1131 29.2877 4179.25 0.3467 0.76892 17 SUW9 10:47:56 1.2 27.21 6.79 -83.1131 29.2875 4202.5 0.68419 2.2313 16.5 SUW9 10:48:16 1.201 27.28 7.47 -83.1131 29.2872 4229.05 0.67559 3.5294 16.75 SUW9 10:48:36 1.203 27.29 6.03 -83.1132 29.287 4253.1 1.3509 5.8188 5.9821 16.5 SUW9 10:48:56 1.192 27.32 5.52 -83.1132 29.2868 4276.85 1.3718 3.8849 1.7847 17.25 SUW9 10:49:16 1.206 27.32 5.55 -83.1131 29.2866 4301.25 1.1861 5.5084 2.8011 17.625 SUW9 10:49:36 1.206 27.37 2.98 -83.1131 29.2863 4325.9 0.64156 2.8972 17.625 SUW9 10:49:56 1.198 27.47 2.96 -83.1131 29.2861 4349.15 0.24744 1.5204 17.875 SUW9 10:50:16 1.192 27.49 3.54 -83.1131 29.2859 4375.35 0.47113 1.4191 18.125 SUW9 10:50:36 1.203 27.61 4.69 -83.1131 29.2857 4400.35 0.74866 1.4011 18.375 SUW9 10:50:56 1.198 27.63 4.69 -83.1131 29.2855 4423.85 0.25256 0.18975 18.625 SUW9 10:51:16 1.187 27.59 5.89 -83.1131 29.2853 4446.15 0.49921 1.8556 18.375 SUW9 10:51:36 1.192 27.65 6.47 -83.1131 29.285 4471.65 1.2324 2.6981 18.625 SUW9 10:51:56 1.195 27.81 5.39 -83.113 29.2848 4497.4 0.17236 1.0919 1.8132 19.375 SUW9 10:52:16 1.186 27.86 6.19 -83.113 29.2846 4521.1 2.253 3.9278 2.5028 19.625 SUW9 10:52:36 1.203 27.81 12.5 -83.1129 29.2844 4547.25 1.8196 3.0546 1.394 20 SUW9 10:52:56 1.189 27.83 12.56 -83.1129 29.2842 4571.2 0.83826 0.80406 0.91134 18.625 SUW9 10:53:16 1.198 27.98 12.66 -83.1128 29.284 4596.1 1.3267 3.8898 1.7166 18.125 SUW9 10:53:36 1.189 27.92 12.71 -83.1128 29.2837 4620.8 0.19119 1.0921 0.76159 17.625 SUW9

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95 Appendix 2 (Continued) 10:53:56 1.195 28.01 12.82 -83.1127 29.2835 4646.35 0.36294 1.329 1.0473 16.75 SUW9 10:54:16 1.19 27.97 12.92 -83.1127 29.2833 4671.25 0.28974 0.80947 0.91939 17 SUW9 10:54:36 1.181 27.95 12.96 -83.1127 29.2831 4693.7 0.73226 4.5822 1.8156 17.5 SUW9 10:54:56 1.187 28.04 12.97 -83.1126 29.2829 4718 101.1111.981 0.55616 2.3302 17.625 SUW9 10:55:16 1.19 28.1 12.98 -83.1126 29.2827 4742 0.47297 1.9951 17 SUW9 10:55:36 1.178 28.25 12.7 -83.1125 29.2825 4768 0.42788 1.1008 17.25 SUW9 10:55:56 1.187 28.26 12.59 -83.1124 29.2822 4793.85 0.41105 2.3827 16.25 SUW9 10:56:16 1.187 28.26 12.45 -83.1124 29.282 4817.35 0.73826 1.8169 16.5 SUW9 10:56:36 1.17 28.32 12.31 -83.1123 29.2818 4844.7 0.73935 1.4268 1.9344 16.75 SUW9 10:56:56 1.178 28.33 12.34 -83.1123 29.2816 4869.7 0.35842 1.6452 2.8099 16.5 SUW9 10:57:16 1.176 28.38 12.4 -83.1122 29.2813 4896.75 0.40885 2.9049 16.5 SUW9 10:57:36 1.173 28.41 12.49 -83.1122 29.2811 4921.85 0.40435 4.497 16.75 SUW9 10:57:56 1.167 28.4 12.52 -83.1121 29.2809 4948.1 0.49537 2.0875 16 SUW9 10:58:16 1.17 28.39 12.52 -83.1121 29.2807 4973.9 0.78459 2.8024 4.1843 15.75 SUW9 10:58:36 1.17 28.38 12.47 -83.1121 29.2804 5000.15 0.58639 1.5575 3.4201 16 SUW9 10:58:56 1.173 28.36 12.43 -83.1121 29.2802 5028.2 0.58352 1.38 1.9426 16.5 SUW9 10:59:16 1.167 28.36 12.39 -83.112 29.2799 5052.95 0.38295 1.773 4.6798 15.75 SUW9 10:59:36 1.162 28.38 12.44 -83.112 29.2797 5079.1 0.65972 1.357 2.692 15.75 SUW9 10:59:56 1.156 28.4 12.48 -83.1121 29.2795 5105.7 1.6253 9.1742 8.2238 15.25 SUW9 11:00:16 1.151 28.44 12.47 -83.1121 29.2792 5131.3 2.5213 6.5116 12.7286 16 SUW9 11:00:36 1.154 28.51 6.17 -83.1121 29.279 5157.95 1.3589 4.4286 4.1062 16 SUW9 11:00:56 1.154 28.56 1.65 -83.1121 29.2787 5185.45 1.3307 2.5524 3.0341 16 SUW9 11:01:16 1.151 28.56 13.06 -83.1121 29.2785 5211.4 0.7994 3.66 6.2706 16 SUW9 11:01:36 1.154 28.29 13.1 -83.1121 29.2783 5237.9 7.9998 9.823 2.594 15.25 SUW9 11:01:56 1.165 28.3 15.07 -83.1121 29.2781 5262.65 1.4836 2.6828 3.2046 15.75 SUW9 11:02:16 1.159 28.28 13.29 -83.1121 29.2778 5287.5 4.0963 15.9016 5.0683 15.75 SUW9 11:02:36 1.146 28.27 13.18 -83.1121 29.2776 5315.05 0.61105 3.5973 11.1145 16 SUW9 11:02:56 1.149 28.26 12 -83.1121 29.2774 5338.1 1.4676 4.7001 5.3393 16.75 SUW9 11:03:16 1.149 28.31 12.66 -83.1121 29.2772 5361.55 1.6322 12.6808 16.5 SUW9 11:03:36 1.151 28.37 12.34 -83.1121 29.2769 5389.1 0.5348 1.7299 3.8913 16.25 SUW9 11:03:56 1.13 28.43 12.84 -83.112 29.2767 5411.7 1.8911 9.4794 9.0045 16.25 SUW9 11:04:16 1.133 28.51 12.86 -83.112 29.2765 5433.85 0.81805 1.9329 2.847 16 SUW9 11:04:36 1.138 28.52 12.79 -83.112 29.2763 5461.9 2.0311 0.70944 0.80118 16.75 SUW9 11:04:56 1.13 28.52 12.77 -83.1119 29.2761 5484.05 1.6526 2.4694 2.3319 16.75 SUW9 11:05:16 1.133 28.54 12.93 -83.1119 29.2759 5509.6 1.5842 6.3304 4.6305 16.5 SUW9 11:05:36 1.13 28.55 13.33 -83.1119 29.2756 5532.9 5.0208 5.2892 2.9182 17 SUW9 11:05:56 1.125 28.55 13.79 -83.1119 29.2754 5557.05 2.9168 4.292 3.1557 16.75 SUW9 11:06:16 1.119 28.6 14.16 -83.1119 29.2752 5581.9 3.1179 4.9764 4.3207 17.25 SUW9 11:06:36 1.119 28.66 14.36 -83.1118 29.275 5606.1 2.5287 3.6602 2.7077 16.75 SUW9 11:06:56 1.111 28.68 14.42 -83.1118 29.2748 5627.9 6.4533 6.2157 2.7306 17.5 SUW9 11:07:16 1.109 28.74 14.54 -83.1116 29.2746 5652.75 3.2488 3.4823 3.3135 17.25 SUW9 11:07:36 1.094 28.82 14.76 -83.1116 29.2744 5677.05 3.4158 2.6488 4.2011 17.625 SUW9 11:07:56 1.078 28.9 14.9 -83.1115 29.2742 5698.15 1.3966 1.5479 3.8949 17.5 SUW9 11:08:16 1.073 28.95 15.03 -83.1114 29.2741 5719.1 3.8903 3.9076 3.2248 17.875 SUW9 11:08:36 1.056 28.96 13.47 -83.1113 29.2739 5743.25 1.1812 1.731 4.354 17.875 SUW9 11:08:56 1.044 28.96 15.15 -83.1112 29.2737 5762.55 0.8808 2.0527 5.0442 17.625 SUW9 11:09:16 1.046 29.03 15.38 -83.1112 29.2736 5782.55 3.0071 3.6192 3.7693 17.875 SUW9

PAGE 105

96 Appendix 2 (Continued) 11:09:36 1.037 29.1 15.68 -83.1111 29.2734 5806.3 3.2217 8.1456 3.6558 17.875 SUW9 11:09:56 1.032 29 15.93 -83.111 29.2732 5826.4 2.9518 3.0586 5.22 18.375 SUW9 11:10:16 1.003 29.02 15.62 -83.1108 29.2731 5846.5 2.3308 3.0995 5.4796 17.875 SUW9 11:10:36 1.001 29.01 16.05 -83.1107 29.2729 5866.8 1.8692 2.8174 3.1658 18.125 SUW9 13:46:34 0.242 27.36 4.29 -83.1103 29.2687 130.4 2.3241 2.306 2.2992 17 SUW15 13:46:54 0.248 27.42 4.15 -83.1102 29.269 144.05 4.0748 3.5086 2.7189 16.5 SUW15 13:47:14 0.253 27.28 4.15 -83.1103 29.2693 176.65 3.2176 5.1119 4.9293 16.75 SUW15 13:47:34 0.257 27.24 4.02 -83.1103 29.2695 207.95 3.8585 3.0896 3.8436 17.625 SUW15 13:47:54 0.265 27.23 3.9 -83.1104 29.2698 241.5 3.0357 2.7229 3.189 17.5 SUW15 13:48:14 0.266 27.24 3.83 -83.1104 29.2701 274.75 1.5865 2.4539 3.5633 17.625 SUW15 13:48:34 0.272 27.25 3.89 -83.1104 29.2704 308.5 2.503 2.3835 3.0979 18.375 SUW15 13:48:54 0.273 27.2 3.93 -83.1103 29.2707 344.8 1.0617 1.4451 1.3616 20.375 SUW15 13:49:14 0.274 27.28 3.78 -83.1102 29.271 377.4 2.2428 1.4814 1.7837 19.875 SUW15 13:49:34 0.274 27.3 3.84 -83.1101 29.2713 411.65 1.5792 2.32 3.4759 21.625 SUW15 13:49:54 0.274 27.32 4.04 -83.1101 29.2716 450.25 1.4295 1.6329 2.2772 19.875 SUW15 13:50:14 0.28 27.26 4.19 -83.11 29.2719 482.3 0.95099 1.4658 1.7156 18.875 SUW15 13:50:34 0.283 27.22 4.08 -83.1101 29.2722 516.65 0.7802 1.6416 4.1674 18.375 SUW15 13:50:54 0.284 27.22 4.26 -83.1101 29.2725 551.3 1.7231 1.5804 2.7715 18.625 SUW15 13:51:14 0.286 27.24 4.33 -83.1101 29.2728 583.35 2.4416 2.6134 3.883 18.125 SUW15 13:51:34 0.291 27.23 4.34 -83.1102 29.2731 613.95 2.29 2.4206 3.326 18.125 SUW15 13:51:54 0.297 27.23 4.36 -83.1102 29.2734 650.15 2.2453 2.0278 2.3627 17.5 SUW15 13:52:14 0.3 27.21 4.19 -83.1103 29.2737 679.3 1.7525 2.4122 3.0374 17.25 SUW15 13:52:34 0.305 27.21 3.74 -83.1104 29.2739 710.55 1.4021 1.4469 1.9328 17.25 SUW15 13:52:54 0.309 27.21 3.68 -83.1105 29.2742 745.05 8.1997 3.9437 2.9124 16.75 SUW15 13:53:14 0.31 27.26 3.75 -83.1106 29.2745 777.95 1.5088 2.0127 2.4666 17 SUW15 13:53:34 0.311 27.28 3.49 -83.1106 29.2748 807.6 1.4653 1.7834 2.4385 16.75 SUW15 13:53:54 0.317 27.3 3.39 -83.1107 29.2751 843.35 1.7713 1.9734 2.7023 16.25 SUW15 13:54:14 0.319 27.34 3.18 -83.1109 29.2753 875.35 1.762 1.9756 2.6852 15.75 SUW15 13:54:34 0.318 27.36 2.94 -83.1111 29.2755 896.05 1.4842 1.6217 2.238 16.25 SUW15 13:54:54 0.321 27.37 2.85 -83.1112 29.2756 922 1.3165 1.9379 2.8936 16 SUW15 13:55:14 0.32 27.38 2.85 -83.1113 29.2758 947.2 1.3337 2.0373 2.9956 16 SUW15 13:55:34 0.321 27.34 3.14 -83.1115 29.2761 980.3 1.6445 2.2445 3.1629 16.25 SUW15 13:55:54 0.327 27.28 3.28 -83.1116 29.2763 1009.15 1.8251 1.3665 1.5643 16 SUW15 13:56:14 0.343 27.21 3.71 -83.1118 29.2765 1033.65 1.8433 2.9451 2.9629 16.5 SUW15 13:56:34 0.361 27.14 3.73 -83.1119 29.2767 1059.65 1.2208 2.0908 1.5681 16.5 SUW15 13:56:54 0.387 27.07 3.76 -83.1119 29.2769 1079.65 1.0143 1.6412 2.1629 16.25 SUW15 13:57:14 0.418 27.05 3.83 -83.1119 29.2771 1103.75 1.1508 1.6904 2.7867 16 SUW15 13:57:34 0.45 27.04 3.87 -83.1119 29.2773 1129.2 1.3016 1.7598 1.9844 16.25 SUW15 13:57:54 0.493 27.03 3.88 -83.1119 29.2775 1152.2 1.126 1.8261 1.946 16.25 SUW15 13:58:14 0.522 27.03 3.78 -83.1119 29.2778 1179.35 1.1718 1.8686 1.8661 15.75 SUW15 13:58:34 0.557 27.02 3.78 -83.1119 29.278 1203.9 1.4822 2.7467 3.799 15.5 SUW15 13:58:54 0.59 27.02 3.74 -83.1119 29.2782 1229.25 1.9566 3.0938 4.1112 15.75 SUW15 13:59:14 0.618 27.02 3.73 -83.112 29.2784 1256.45 1.8471 4.0336 6.0134 16 SUW15 13:59:34 0.648 27.03 3.72 -83.112 29.2786 1280.3 1.1477 1.6794 2.8418 15.25 SUW15 13:59:54 0.674 27.03 3.8 -83.112 29.2789 1304.45 1.3261 1.7662 2.635 15.75 SUW15 14:00:14 0.696 27.04 3.75 -83.112 29.2791 1329.1 1.0838 1.6254 1.908 15.5 SUW15 14:00:34 0.725 27.04 3.79 -83.1119 29.2793 1355.15 1.5439 2.6982 2.6195 15.75 SUW15

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97 Appendix 2 (Continued) 14:00:54 0.745 27.03 3.75 -83.1119 29.2795 1379 0.95455 1.4947 1.7673 15.5 SUW15 14:01:14 0.767 27.02 3.67 -83.1119 29.2798 1402.5 1.814 2.9242 2.3555 16 SUW15 14:01:34 0.793 27.02 3.6 -83.1119 29.2799 1424.75 0.75928 1.4133 3.7133 16 SUW15 14:01:54 0.805 27.01 3.78 -83.1119 29.2801 1446.15 0.89205 1.5895 3.1585 15.75 SUW15 14:02:14 0.839 26.99 3.65 -83.112 29.2803 1469.85 1.8794 1.9378 2.3672 16 SUW15 14:02:34 0.856 26.98 3.81 -83.112 29.2806 1495.85 1.8144 1.6908 1.7841 16 SUW15 14:02:54 0.89 26.99 3.6 -83.112 29.2808 1519.4 0.67177 1.6037 3.0653 16.75 SUW15 14:03:14 0.899 26.98 3.55 -83.112 29.281 1545.85 1.2294 2.3741 2.8339 16.25 SUW15 14:24:35 1.456 26.51 1.11 -83.1112 29.2938 178.1 2.3787 2.4577 2.5219 18.375 SUW17 14:24:55 1.471 26.49 0.56 -83.111 29.294 191.8 2.5495 2.5791 2.8158 17.875 SUW17 14:25:15 1.467 26.31 0.51 -83.1108 29.2942 218.75 69.843 1.626 1.7872 1.7584 2.832 17.625 SUW17 14:25:35 1.495 26.23 0.3 -83.1107 29.2944 247.55 1.6019 1.341 2.5465 17.5 SUW17 14:25:55 1.506 26.24 0.41 -83.1106 29.2947 275.1 2.3034 2.2502 3.9186 17 SUW17 14:26:15 1.532 26.23 0.34 -83.1105 29.2949 306.8 1.5273 1.7034 2.7807 17 SUW17 14:26:35 1.52 26.23 0.41 -83.1104 29.2952 334.9 2.7076 1.99 2.4975 16.75 SUW17 14:26:55 1.554 26.23 0.49 -83.1103 29.2954 362.05 3.0599 3.0256 3.6725 16.5 SUW17 14:27:15 1.543 26.21 0.23 -83.1102 29.2956 392.7 2.4345 2.3242 3.2145 17 SUW17 14:27:35 1.559 26.2 0.28 -83.1103 29.2959 417.4 2.2597 1.8419 3.0822 17 SUW17 14:27:55 1.574 26.19 0.23 -83.1104 29.2961 446.95 1.9484 1.9661 3.4778 16.5 SUW17 14:28:15 1.566 26.21 0.24 -83.1105 29.2963 473.45 2.4034 2.6828 4.706 16.25 SUW17 14:28:35 1.567 26.19 0.27 -83.1107 29.2966 502.45 2.279 2.0441 2.5618 16 SUW17 14:28:55 1.604 26.22 0.26 -83.1109 29.2967 529.7 2.288 2.2476 3.113 16.25 SUW17 14:29:15 1.597 26.26 0.32 -83.1111 29.2969 558.9 1.5278 2.1244 3.6599 16.25 SUW17 14:29:35 1.601 26.21 0.3 -83.1114 29.2971 588.8 2.1841 2.055 2.4852 16.25 SUW17 14:29:55 1.584 26.26 0.34 -83.1116 29.2972 618.35 2.2981 2.2704 3.0898 16.5 SUW17 14:30:15 1.613 26.24 0.32 -83.1119 29.2973 645.05 3.6929 2.2726 2.2762 16.75 SUW17 14:30:35 1.609 26.2 0.33 -83.1121 29.2974 675.15 2.3031 1.9289 2.3276 16.75 SUW17 14:30:55 1.63 26.18 0.24 -83.1124 29.2976 702.85 1.2271 1.338 2.4642 16.75 SUW17 14:31:15 1.621 26.22 0.19 -83.1126 29.2977 730.55 0.65271 1.3023 3.6027 16.5 SUW17 14:31:35 1.625 26.23 0.2 -83.1128 29.2979 759 1.8172 2.2855 3.539 17.25 SUW17 14:31:55 1.658 26.24 0.24 -83.113 29.298 787.95 1.8243 2.171 2.3114 17.25 SUW17 14:32:15 1.633 26.19 0.19 -83.1131 29.2982 811.75 2.6543 2.6795 3.2727 16.5 SUW17 14:32:35 1.658 26.23 0.18 -83.1132 29.2984 838.35 1.1545 1.3308 1.7272 16.875 SUW17 14:32:55 1.653 26.23 0.2 -83.1133 29.2986 862.15 3.0085 2.4295 17 SUW17 14:33:15 1.674 26.2 0.18 -83.1133 29.2989 886.1 0.68312 1.3517 2.4506 16.75 SUW17 14:33:35 1.696 26.21 0.19 -83.1134 29.2991 909.4 1.4737 1.9091 2.1991 17.25 SUW17 14:33:55 1.683 26.16 0.23 -83.1134 29.2993 933.65 1.7514 2.1456 2.9126 17 SUW17 14:34:15 1.718 26.17 0.19 -83.1133 29.2995 963.25 1.9283 2.757 3.4313 17 SUW17 14:34:35 1.696 26.19 0.18 -83.1133 29.2998 990.1 1.3211 2.1917 3.2249 17.25 SUW17 14:34:55 1.718 26.17 0.3 -83.1135 29.3 1016.3 1.398 2.0442 3.0707 17 SUW17 14:35:15 1.71 26.21 0.18 -83.1136 29.3002 1046.3 86.318 1.812 1.8061 1.7844 3.6083 17 SUW17 14:35:35 1.733 26.19 0.19 -83.1137 29.3004 1070.9 2.5079 2.9694 4.552 16 SUW17 14:35:55 1.72 26.2 0.19 -83.1137 29.3005 1080.9 1.7955 1.7441 3.1285 16.25 SUW17 14:36:15 1.707 26.2 0.19 -83.1138 29.3006 1090.9 3.105 1.7683 2.1978 16.25 SUW17 14:36:35 1.725 26.22 0.19 -83.1139 29.3007 1108.9 2.1104 2.1179 3.6655 15.75 SUW17 14:36:55 1.712 26.22 0.19 -83.1141 29.3008 1126.5 2.4016 1.8379 2.9751 16 SUW17 14:37:15 1.705 26.19 0.19 -83.1142 29.3008 1142.25 2.5404 2.1547 2.8279 16.75 SUW17

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98 Appendix 2 (Continued) 14:37:35 1.7 26.21 0.19 -83.1143 29.3009 1155.4 2.5128 1.8422 2.9098 16 SUW17 14:37:55 1.694 26.19 0.19 -83.1145 29.301 1168.75 3.3535 2.7255 4.0266 16.5 SUW17 14:38:15 1.687 26.19 0.18 -83.1146 29.301 1186.1 4.0224 2.5535 3.4171 16.5 SUW17 14:38:35 1.665 26.21 0.18 -83.1146 29.3011 1197.45 2.4919 1.8933 2.2441 16.25 SUW17 14:38:55 1.656 26.21 0.18 -83.1148 29.3012 1209.75 3.2101 2.8369 2.5042 16.75 SUW17 14:39:15 1.684 26.19 0.18 -83.115 29.3013 1233.7 2.819 2.0476 2.502 16.25 SUW17 14:39:35 1.667 26.21 0.18 -83.1152 29.3014 1265.05 4.8355 1.9127 1.1444 16.5 SUW17 14:39:55 1.676 26.2 0.18 -83.1155 29.3016 1299.55 2.2719 2.641 3.4362 16.25 SUW17 14:40:15 1.66 26.23 0.18 -83.1158 29.3018 1332.6 2.1018 2.4192 1.972 16.5 SUW17 14:40:35 1.664 26.21 0.18 -83.1161 29.3019 1362.55 2.2012 2.605 1.7887 17.5 SUW17 14:40:55 1.654 26.19 0.19 -83.1164 29.3019 1395.2 1.0349 1.8429 2.5143 16.75 SUW17 14:41:15 1.653 26.2 0.18 -83.1166 29.3019 1412.15 1.6391 1.9261 2.3587 17 SUW17 14:41:35 1.68 26.19 0.18 -83.1167 29.302 1431.6 1.508 1.7908 2.3309 17 SUW17 14:41:55 1.713 26.24 0.18 -83.1168 29.3022 1458.4 1.2234 2.0692 3.184 17 SUW17 14:42:15 1.711 26.2 0.18 -83.1167 29.3024 1486.95 0.88657 1.3216 0.93245 17 SUW17 14:42:35 1.76 26.17 0.19 -83.1166 29.3027 1515.85 1.0279 1.6324 1.4914 17 SUW17 14:42:55 1.76 26.2 0.18 -83.1165 29.3028 1537.35 2.2538 2.0921 1.7676 16.25 SUW17 14:43:15 1.792 26.17 0.18 -83.1164 29.303 1556.75 1.5842 1.4774 2.1393 16.25 SUW17 14:43:35 1.804 26.14 0.18 -83.1163 29.3031 1575.55 2.5109 1.8496 2.4603 16.25 SUW17 14:43:55 1.832 26.15 0.18 -83.1163 29.3033 1595.4 3.8408 3.1778 2.9489 16.25 SUW17 14:44:15 1.843 26.17 0.18 -83.1162 29.3035 1617.9 4.2455 4.6293 3.1561 16.25 SUW17 14:44:35 1.86 26.18 0.18 -83.1161 29.3037 1641.9 1.8487 2.2579 2.0105 15.75 SUW17 14:44:55 1.839 26.18 0.19 -83.116 29.3038 1664.15 0.93175 1.5191 1.3831 16 SUW17 14:45:15 1.86 26.18 0.19 -83.1159 29.304 1685.9 91.468 1.876 2.0978 1.4159 0.72928 16.25 SUW17 14:45:35 1.891 26.21 0.19 -83.1158 29.3042 1705.15 1.6031 2.1966 1.1075 15.5 SUW17 14:45:55 1.916 26.22 0.19 -83.1157 29.3043 1722.95 2.7628 2.7086 1.3976 16.25 SUW17 14:46:15 1.931 26.2 0.19 -83.1157 29.3044 1739.65 1.1324 1.7574 1.4553 15.75 SUW17 14:46:35 1.928 26.21 0.18 -83.1157 29.3046 1758.25 0.76664 2.1221 2.0503 15.5 SUW17 14:46:55 1.958 26.23 0.18 -83.1157 29.3048 1776.85 1.7488 3.1584 1.7675 16 SUW17 14:47:15 1.951 26.25 0.18 -83.1157 29.3049 1794.1 0.3895 1.3573 1.9398 15 SUW17 14:47:35 1.977 26.24 0.18 -83.1157 29.3051 1812.95 0.27421 1.4135 2.1098 15.75 SUW17 14:47:55 1.984 26.24 0.18 -83.1156 29.3053 1829.7 1.0413 4.3705 2.1357 16 SUW17 14:48:15 2.008 26.23 0.18 -83.1157 29.3054 1844.5 1.7506 1.0456 0.72043 16 SUW17 14:48:35 1.997 26.21 0.18 -83.1157 29.3056 1862.2 2.7167 4.9753 2.78 15.5 SUW17 14:48:55 2.035 26.21 0.19 -83.1157 29.3057 1884.85 0.24548 1.2342 2.5539 15 SUW17 14:49:15 2.035 26.21 0.19 -83.1157 29.3059 1904 0.24946 0.39689 1.4345 15.5 SUW17 14:49:35 2.043 26.18 0.19 -83.1158 29.3061 1922.7 0.29605 0.56456 1.0997 15.75 SUW17 14:49:55 2.059 26.16 0.19 -83.1158 29.3062 1941.65 2.4979 1.3281 1.1215 16.25 SUW17 14:50:15 2.031 26.11 0.18 -83.1158 29.3064 1961.65 1.7042 2.1189 1.7792 15.25 SUW17 14:50:35 2.043 26.1 0.18 -83.1158 29.3066 1984.3 1.0565 1.0029 1.0392 16.5 SUW17 14:50:55 2.05 26.08 0.18 -83.1158 29.3068 2004.7 0.67953 1.5491 16.25 SUW17 14:51:15 2.07 26.09 0.18 -83.1158 29.307 2026.9 0.5193 1.9541 2.3151 16 SUW17 14:51:35 2.094 26.08 0.18 -83.1159 29.3072 2043.45 0.50025 1.7027 16.25 SUW17 14:51:55 2.102 26.1 0.18 -83.116 29.3073 2059.45 0.34387 2.3971 2.8556 16.75 SUW17 14:52:15 2.085 26.09 0.18 -83.1161 29.3074 2084.45 0.15246 0.65113 1.4477 16 SUW17 14:52:35 2.114 26.1 0.18 -83.1162 29.3075 2100.35 1.7877 4.1707 1.3232 16 SUW17 14:52:55 2.098 26.12 0.18 -83.1163 29.3077 2119.45 0.37214 1.2892 0.94571 16 SUW17

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99 Appendix 2 (Continued) 14:53:15 2.135 26.12 0.18 -83.1165 29.3078 2140.05 0.23456 1.0185 1.8748 16 SUW17 14:53:35 2.135 26.13 0.18 -83.1167 29.3078 2159.55 0.45302 0.89756 1.0828 16 SUW17 14:53:55 2.123 26.14 0.18 -83.1169 29.3079 2179.6 0.48753 1.3581 1.213 16.5 SUW17 14:54:15 2.123 26.12 0.18 -83.1171 29.3079 2197.95 0.93705 1.2799 0.94367 16.25 SUW17 14:54:35 2.155 26.13 0.18 -83.1172 29.308 2217.3 0.46261 1.5826 2.1432 16 SUW17 14:54:55 2.147 26.13 0.18 -83.1174 29.3081 2237.3 0.12819 0.67275 4.031 16.5 SUW17 14:55:15 2.16 26.15 0.18 -83.1176 29.3082 2255.55 98.316 1.958 0.19054 1.7465 0 16.25 SUW17 14:55:35 2.164 26.14 0.18 -83.1178 29.3082 2272.7 0.58086 1.2517 1.2323 16.25 SUW17 14:55:55 2.156 26.13 0.18 -83.1179 29.3083 2291.5 0.16285 1.0676 1.008 16.75 SUW17 14:56:15 2.152 26.16 0.18 -83.1181 29.3084 2315.3 0.43873 1.9865 1.1154 16.75 SUW17 14:56:35 2.177 26.15 0.18 -83.1183 29.3085 2334.1 0.38333 1.7679 1.2067 17 SUW17 14:56:55 2.16 26.16 0.18 -83.1184 29.3087 2355.05 0.73349 0.88354 0.91528 16.5 SUW17 14:57:15 2.155 26.17 0.18 -83.1186 29.3088 2375.5 0.93791 0.76879 0.887 16 SUW17 14:57:35 2.163 26.15 0.18 -83.1187 29.3089 2398.95 0.48369 0.68766 1.3575 16.25 SUW17 14:57:55 2.185 26.13 0.18 -83.1189 29.309 2420.85 0.59421 0.82001 1.295 16 SUW17 14:58:15 2.211 26.13 0.18 -83.119 29.3092 2442 0.32731 0.42947 1.343 16.25 SUW17 14:58:35 2.202 26.13 0.18 -83.1191 29.3093 2462.95 0.2837 0.8334 1.8312 16 SUW17 14:58:55 2.201 26.13 0.18 -83.1191 29.3095 2484.55 0.32592 0.86878 1.545 15.75 SUW17 14:59:15 2.215 26.14 0.18 -83.1192 29.3097 2504.55 0.47871 0.70224 0.93482 15.75 SUW17 14:59:35 2.215 26.13 0.18 -83.1192 29.3099 2524.35 0.45339 0.76883 1.046 16.25 SUW17 14:59:55 2.198 26.12 0.18 -83.1192 29.3101 2545.2 0.48892 0.81995 1.2254 16 SUW17 15:00:15 2.18 26.13 0.18 -83.1193 29.3102 2566.95 0.51634 0.89655 1.4894 16 SUW17 15:00:35 2.228 26.13 0.18 -83.1193 29.3104 2585.3 0.96617 1.0475 1.4441 16.5 SUW17 15:00:55 2.215 26.13 0.18 -83.1193 29.3106 2607.1 0.3072 0.54247 1.7829 16.5 SUW17 15:01:15 2.211 26.13 0.18 -83.1194 29.3108 2628.55 0.32062 0.67451 16.25 SUW17 15:01:35 2.211 26.14 0.18 -83.1194 29.311 2649.9 0.82604 0.94651 1.428 16.25 SUW17 15:01:55 2.241 26.15 0.18 -83.1194 29.3111 2667 0.59765 1.028 1.8462 16.25 SUW17 15:02:15 2.215 26.15 0.18 -83.1193 29.3113 2691.95 0.51041 0.7294 1.2265 16.25 SUW17 15:02:35 2.241 26.15 0.18 -83.1193 29.3115 2711.7 0.61084 0.8723 1.3447 16.5 SUW17 15:02:55 2.241 26.16 0.18 -83.1193 29.3117 2728.85 1.0502 1.106 1.3506 16.25 SUW17 15:03:15 2.241 26.17 0.18 -83.1193 29.3119 2748.85 0.58823 0.86476 1.3909 17.25 SUW17 15:03:35 2.228 26.17 0.18 -83.1193 29.312 2768.8 0.40405 0.892 1.5855 17 SUW17 15:03:55 2.241 26.18 0.18 -83.1193 29.3122 2785.65 0.56293 0.88408 1.4478 16.5 SUW17 15:04:15 2.228 26.19 0.18 -83.1192 29.3123 2805.65 0.56049 1.0018 1.5769 17 SUW17 15:04:35 2.237 26.19 0.18 -83.1192 29.3125 2825.5 0.53033 0.99146 1.795 16.75 SUW17 15:04:55 2.259 26.19 0.18 -83.1192 29.3127 2843.05 0.51566 1.3504 2.0021 17 SUW17 15:05:15 2.228 26.21 0.18 -83.1191 29.3128 2862.7 104.6722.021 0.45449 1.0431 1.5282 17.25 SUW17 15:05:35 2.233 26.21 0.18 -83.1191 29.313 2880.85 0.96568 1.1087 1.4275 17.25 SUW17 15:05:55 2.259 26.22 0.18 -83.119 29.3132 2901.85 1.2913 1.0097 1.1724 17.5 SUW17 15:06:15 2.223 26.24 0.18 -83.119 29.3134 2919.45 1.4329 1.0884 1.1636 17.375 SUW17 15:06:35 2.219 26.26 0.18 -83.119 29.3135 2940.5 0.84681 0.89137 1.2112 17.5 SUW17 15:06:55 2.237 26.25 0.18 -83.119 29.3137 2962.65 1.0591 1.2986 1.4514 16.75 SUW17 15:07:15 2.254 26.25 0.18 -83.119 29.3139 2985.65 1.3294 1.3375 1.2268 16.25 SUW17 15:07:35 2.223 26.27 0.18 -83.119 29.3141 3005.35 1.3963 1.1932 1.2336 16.5 SUW17 15:07:55 2.263 26.27 0.18 -83.119 29.3143 3027.7 0.93986 0.99749 1.1273 16.75 SUW17 15:08:15 2.228 26.25 0.18 -83.119 29.3145 3048.25 1.0683 0.99161 1.0369 16.5 SUW17 15:08:35 2.258 26.22 0.18 -83.119 29.3147 3070.9 1.1663 0.98625 1.0687 16.5 SUW17

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100 Appendix 2 (Continued) 15:08:55 2.254 26.22 0.18 -83.1191 29.3149 3095.3 1.2864 1.1383 1.3192 16.75 SUW17 15:09:15 2.214 26.22 0.18 -83.1191 29.3151 3118.45 0.9587 1.196 1.4363 16.75 SUW17 15:09:35 2.24 26.21 0.18 -83.1191 29.3153 3143.8 1.516 1.2157 1.0754 16 SUW17 15:09:55 2.237 26.23 0.18 -83.1191 29.3156 3166.1 0.6839 0.85343 0.93013 16 SUW17 15:10:15 2.219 26.21 0.18 -83.1192 29.3158 3191.75 0.50929 0.77336 1.1621 16.25 SUW17 15:10:35 2.223 26.22 0.18 -83.1193 29.316 3218.55 1.4252 1.2391 0.92474 15.5 SUW17 15:10:55 2.254 26.22 0.18 -83.1195 29.3162 3247.95 1.4444 1.3599 1.502 15.75 SUW17 15:11:15 2.246 26.23 0.18 -83.1198 29.3164 3281.4 77.3303 43.3279 2.1242 16 SUW17 15:11:35 2.272 26.23 0.18 -83.1201 29.3166 3318.45 1.5467 0.59771 1.401 17 SUW17 15:11:55 2.259 26.23 0.18 -83.1204 29.3168 3358.35 0.90604 0.95873 1.1404 17.25 SUW17 15:12:15 2.259 26.22 0.18 -83.1208 29.3169 3401.45 0.99332 0.83675 1.8054 16.5 SUW17 15:12:35 2.259 26.23 0.18 -83.1212 29.3171 3441.45 1.3202 0.62811 1.2666 17.5 SUW17 11:37:17 1.389 16.8 0.15 -83.1449 29.3163 121.5 16 SUW3 11:38:17 1.414 16.8 0.15 -83.145 29.3154 162.5 2.5987 17.5 SUW3 11:39:17 1.454 16.8 0.15 -83.1452 29.3146 254.25 2.2484 18.75 SUW3 11:40:17 1.474 16.8 0.15 -83.1454 29.3137 356.55 2.1065 17.75 SUW3 11:41:17 1.486 16.8 0.15 -83.1458 29.313 445.2 2.0492 17.5 SUW3 11:42:17 1.522 16.8 0.15 -83.1462 29.3122 540.8 1.0508 16.25 SUW3 11:43:17 1.547 16.8 0.15 -83.1465 29.3115 626.1 1.2444 16.5 SUW3 11:44:17 1.571 16.8 0.15 -83.147 29.3107 728.5 1.2393 16 SUW3 11:45:17 1.581 16.8 0.15 -83.1476 29.3102 807.4 1.1635 15.75 SUW3 11:46:17 1.611 16.8 0.15 -83.1484 29.3098 899.3 1.188 15.75 SUW3 11:47:17 1.623 16.8 0.15 -83.1493 29.3097 987.55 0.98779 16.25 SUW3 11:48:17 1.621 16.8 0.15 -83.1502 29.3095 1078.5 1.2087 16 SUW3 11:49:17 1.649 16.8 0.16 -83.1511 29.3094 1167.15 1.2161 16.5 SUW3 11:50:17 1.647 16.8 0.16 -83.152 29.3093 1259.95 73.098 2.208 1.2626 16.75 SUW3 11:51:17 1.679 16.7 0.16 -83.1529 29.3092 1349.8 1.6947 17 SUW3 11:52:17 1.691 16.7 0.16 -83.1538 29.3091 1433.5 1.137 16.75 SUW3 11:53:17 1.706 16.7 0.17 -83.1548 29.309 1532.35 0.95556 16 SUW3 11:54:17 1.704 16.6 0.17 -83.1563 29.3089 1678.5 1.1671 15 SUW3 11:55:17 1.712 16.6 0.17 -83.1576 29.3088 1807.7 74.845 2.239 1.0232 14.5 SUW3 11:56:17 1.698 16.6 0.18 -83.1588 29.3083 1938.4 0.96405 15 SUW3 11:57:17 1.694 16.6 0.18 -83.1601 29.3078 2077.2 1.2306 14.75 SUW3 11:58:17 1.684 16.6 0.18 -83.1614 29.3074 2206.7 0.72239 16.25 SUW3 11:59:17 1.669 16.6 0.17 -83.1628 29.3076 2347.6 1.127 15.75 SUW3 14:06:34 1.017 26.85 3.24 -83.1128 29.2833 149.3 1.6394 17.625 SUW16 14:06:54 1.013 26.85 3.24 -83.1128 29.2836 152.1 1.7107 18.125 SUW16 14:07:14 1.017 26.84 3.13 -83.1129 29.2838 179.8 1.3087 18.125 SUW16 14:07:34 1.032 26.95 2.82 -83.113 29.284 207.4 1.9337 17.875 SUW16 14:07:54 1.017 26.89 3.33 -83.1131 29.2842 234.3 2.5498 18.875 SUW16 14:08:14 1.027 26.91 2.7 -83.1133 29.2845 261.8 1.7665 18.625 SUW16 14:08:34 1.037 26.92 2.73 -83.1134 29.2847 290.25 1.4218 18.125 SUW16 14:08:54 1.046 26.93 2.82 -83.1134 29.2849 318.2 1.3775 18.75 SUW16 14:09:14 1.054 26.91 2.62 -83.1134 29.2851 346.15 1.3948 18.625 SUW16 14:09:34 1.056 26.9 2.57 -83.1134 29.2854 370.7 1.7196 19.75 SUW16 14:09:54 1.063 26.96 2.7 -83.1133 29.2856 396.5 1.36 18.875 SUW16 14:10:14 1.068 27.04 2.63 -83.1133 29.2858 422.65 1.3574 18.375 SUW16

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101 Appendix 2 (Continued) 14:10:34 1.086 26.83 2.56 -83.1133 29.2861 449.9 1.0841 17.875 SUW16 14:10:54 1.079 26.76 2.56 -83.1132 29.2863 478.5 1.23 17.625 SUW16 14:11:14 1.099 26.75 2.48 -83.1132 29.2865 504.8 1.5873 18.375 SUW16 14:11:34 1.094 26.75 2.15 -83.1131 29.2868 531.15 0.99953 17.25 SUW16 14:11:54 1.102 26.75 2.33 -83.1131 29.287 557.35 1.8905 16.75 SUW16 14:12:14 1.104 26.7 2.16 -83.1131 29.2873 587.35 1.4636 16.25 SUW16 14:12:34 1.123 26.68 2.08 -83.113 29.2875 614 1.4829 16.75 SUW16 14:12:54 1.107 26.68 2.13 -83.113 29.2877 642.6 1.4265 16.5 SUW16 14:13:14 1.134 26.67 2.06 -83.1129 29.288 668.55 1.6383 16 SUW16 14:13:34 1.142 26.66 1.82 -83.1128 29.2882 694.8 1.4365 16.25 SUW16 14:13:54 1.142 26.64 2 -83.1128 29.2885 721.2 1.1663 15.75 SUW16 14:14:14 1.166 26.63 1.6 -83.1127 29.2887 752 1.7327 15 SUW16 14:14:34 1.164 26.66 1.91 -83.1127 29.289 779.95 1.621 15.5 SUW16 14:14:54 1.178 26.89 1.76 -83.1127 29.2892 806.95 57.72 1.473 1.5725 14.75 SUW16 14:15:14 1.173 26.81 2.11 -83.1127 29.2894 833.4 1.2122 14.75 SUW16 14:15:34 1.201 26.9 3.07 -83.1127 29.2897 860.45 1.1491 15.5 SUW16 14:15:54 1.193 26.97 3.26 -83.1128 29.2899 887.2 1.2182 15.25 SUW16 14:16:14 1.21 27.02 2.8 -83.1128 29.2902 914.45 1.4827 15.5 SUW16 14:16:34 1.225 26.97 2.97 -83.1129 29.2904 940.6 1.7163 15.5 SUW16 14:16:54 1.234 26.99 2.62 -83.113 29.2906 964.75 1.9964 16 SUW16 14:17:14 1.247 27.1 2.42 -83.1131 29.2908 989.65 1.0273 15.75 SUW16 14:17:34 1.252 27.13 2.43 -83.1131 29.291 1016.9 1.5932 16 SUW16 14:17:54 1.283 27.14 2.24 -83.1131 29.2912 1041.7 2.0944 15.5 SUW16 12:00:17 PM 1.655 16.6 0.18 -83.1643 29.3078 2495.2 75.275 2.246 1.4191 SUW3 12:01:17 PM 1.659 16.6 0.18 -83.1657 29.3079 2634 1.2384 SUW3 12:02:17 PM 1.638 16.6 0.31 -83.167 29.3074 2774.25 1.1552 SUW3 12:03:17 PM 1.655 16.5 0.58 -83.168 29.3066 2902 1.2775 SUW3 12:04:17 PM 1.63 16.5 0.37 -83.169 29.3057 3045.25 1.4238 SUW3 12:05:17 PM 1.621 16.5 0.38 -83.1701 29.3048 3192.35 78.209 2.293 1.8054 SUW3 12:06:17 PM 1.621 16.5 0.27 -83.171 29.3038 3329.9 2.3252 SUW3 12:07:17 PM 1.6 16.4 0.4 -83.1722 29.3035 3478.2 0.84196 SUW3 12:08:17 PM 1.594 16.4 0.43 -83.1736 29.3038 3618.5 0.99492 SUW3 12:09:17 PM 1.594 16.3 0.82 -83.1749 29.3042 3748.8 0.96958 SUW3 12:10:17 PM 1.581 16.2 1.02 -83.1762 29.3045 3878.9 76.145 2.275 1.1549 SUW3 12:11:18 PM 1.578 16.1 0.9 -83.1775 29.3048 4012.25 0.91723 SUW3 12:12:18 PM 1.545 15.9 1.14 -83.1785 29.3049 4118.1 1.7285 SUW3 12:13:18 PM 1.535 15.4 2.58 -83.1796 29.3052 4229.45 0.95979 SUW3 12:14:18 PM 1.5 15.2 1.64 -83.1809 29.3054 4356.15 1.7722 SUW3 12:15:18 PM 1.47 15.1 3.05 -83.1821 29.3055 4473.45 79.161 2.375 0.95018 SUW3 12:16:18 PM 1.445 14.2 4.89 -83.1832 29.3058 4593.35 1.0852 SUW3

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102 Appendix 2 (Continued) 12:17:18 PM 1.398 13.7 6.24 -83.1843 29.306 4703.45 1.1345 SUW3 12:18:18 PM 1.351 13.3 6.91 -83.1855 29.3063 4825 1.2426 SUW3 12:19:18 PM 1.282 13.3 6.78 -83.1867 29.3064 4942.9 0.76091 SUW3 12:20:18 PM 1.199 13.3 7.54 -83.1881 29.3067 5085.3 74.204 2.357 2.4107 SUW3 12:21:18 PM 1.111 13 15.72 -83.1893 29.3069 5199.8 0.84177 SUW3 12:22:18 PM 1.012 13 16.19 -83.1905 29.3072 5323.2 0.98525 SUW3 12:23:18 PM 0.931 13 18.21 -83.1918 29.3074 5449.5 0.79299 SUW3 12:24:18 PM 0.868 12.8 16.58 -83.1931 29.3077 5583.25 0.94734 SUW3 12:25:18 PM 0.793 12.8 17.12 -83.1944 29.308 5717.6 62.68 2.175 1.019 SUW3 12:26:18 PM 0.73 12.9 19.97 -83.1955 29.3084 5833.35 1.0649 SUW3 12:27:18 PM 0.655 13.1 23.85 -83.1968 29.3088 5969.35 0.90323 SUW3 12:28:18 PM 0.595 13.2 24.41 -83.198 29.3092 6093.75 1.0661 SUW3 12:29:18 PM 0.535 13.5 26.82 -83.1989 29.3093 6174.7 1.0727 SUW3 12:30:18 PM 0.482 13.6 27.46 -83.1997 29.3093 6256.2 53.906 1.995 1.0985 SUW3 12:31:18 PM 0.449 13.8 28.25 -83.2004 29.3089 6342.95 1.0701 SUW3 12:32:18 PM 0.409 13.8 28.11 -83.201 29.3084 6428.15 0.98851 SUW3 12:33:18 PM 0.372 13.8 28.47 -83.2017 29.3079 6515.4 1.0846 SUW3 12:34:18 PM 0.345 13.8 28.75 -83.2018 29.3073 6581.85 1.03 SUW3 12:35:18 PM 0.32 13.8 28.61 -83.2017 29.3066 6660.4 39.349 1.699 1.1453 SUW3 12:36:18 PM 0.29 13.8 28.75 -83.201 29.3059 6770.3 0.95836 SUW3 12:37:18 PM 0.272 13.8 28.18 -83.2002 29.3052 6882.6 1.1674 SUW3 12:38:18 PM 0.252 13.8 27.68 -83.1992 29.3048 6991.9 0.92901 SUW3 12:39:18 PM 0.234 13.8 28.04 -83.1982 29.3043 7108.15 1.1191 SUW3 12:40:18 PM 0.219 13.8 28.18 -83.1971 29.3041 7215.2 30.54 1.493 1.0031 SUW3 12:41:18 PM 0.205 13.8 28.04 -83.1961 29.3035 7330.75 0.90547 SUW3 12:42:18 PM 0.191 13.8 28.18 -83.195 29.3032 7444.6 0.77018 SUW3 12:43:18 PM 0.181 13.8 28.39 -83.194 29.3029 7547.25 1.0815 SUW3 12:44:18 PM 0.185 13.8 26.12 -83.1929 29.3026 7661.1 0.79178 SUW3 12:45:18 PM 0.185 13.7 22.26 -83.1922 29.3018 7772.1 24.498 1.34 0.84268 SUW3 12:46:18 PM 0.183 13.6 25.76 -83.1916 29.301 7880 1.1881 SUW3 12:47:18 PM 0.176 13.6 25.76 -83.1912 29.3 7998.3 1.4448 SUW3 12:48:18 PM 0.168 13.7 26.12 -83.1908 29.299 8118.45 1.0726 SUW3 12:49:18 PM 0.159 13.8 27.18 -83.1907 29.298 8233.5 0.97059 SUW3

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103 Appendix 2 (Continued) 12:50:18 PM 0.151 13.8 27.18 -83.1903 29.297 8356.6 22.009 1.268 0.972 SUW3 12:51:18 PM 0.145 13.8 26.61 -83.1898 29.2961 8474.6 1.1572 SUW3 12:52:18 PM 0.141 13.8 26.68 -83.1898 29.2951 8584.45 1.2825 SUW3 12:53:18 PM 0.142 13.6 25.13 -83.1894 29.2942 8701.65 0.97272 SUW3 12:54:18 PM 0.143 13.4 22.53 -83.1893 29.2932 8816.45 1.5212 SUW3 12:55:17 PM 0.149 13.4 20.39 -83.1893 29.2922 8932.65 15.737 1.078 0.9832 SUW3 12:56:18 PM 0.162 13.4 21.91 -83.1889 29.2916 9042.55 1.2218 SUW3 12:57:18 PM 0.169 13.4 23.44 -83.1889 29.2905 9168.35 0.94093 SUW3 12:58:17 PM 0.181 13.7 20.19 -83.1885 29.2896 9277.4 1.802 SUW3 12:59:18 PM 0.201 13.7 18.35 -83.1882 29.2887 9386.95 0.82188 SUW3 1:00:18 PM 0.224 13.7 18.28 -83.1878 29.2878 9492.8 14.224 1.02 0.97336 SUW3 1:01:17 PM 0.231 13.7 16.53 -83.1878 29.2869 9604.95 1.1013 SUW3 1:02:17 PM 0.248 13.8 20.19 -83.1875 29.286 9722.2 1.2475 SUW3 1:03:17 PM 0.256 13.8 17.07 -83.1882 29.2852 9834.65 1.1872 SUW3 1:04:17 PM 0.265 13.8 17.88 -83.1881 29.2842 9955.15 1.2403 SUW3 1:05:17 PM 0.273 13.8 18.01 -83.1872 29.2839 10052.5 14.27 1.021 1.0832 SUW3 1:06:17 PM 0.276 13.8 19.58 -83.1874 29.2831 10172 0.88377 SUW3 1:07:17 PM 0.279 13.8 18.28 -83.1883 29.2822 10305.5 1.0765 SUW3 1:08:17 PM 0.291 13.8 18.49 -83.1882 29.2814 10409.5 1.0863 SUW3 1:09:17 PM 0.305 13.7 16.6 -83.1874 29.2807 10526.5 0.96772 SUW3 1:10:17 PM 0.322 13.7 15.39 -83.187 29.2799 10626 11.599 0.922 1.1297 SUW3 1:11:17 PM 0.335 13.7 14.99 -83.1862 29.2794 10720.5 0.9815 SUW3 1:12:17 PM 0.349 13.6 14.26 -83.1855 29.2786 10836 1.1254 SUW3 1:13:17 PM 0.357 13.6 14.26 -83.1849 29.2779 10938 0.9729 SUW3 1:14:17 PM 0.367 13.5 14.99 -83.184 29.2773 11049.5 1.0028 SUW3 1:15:17 PM 0.371 13.5 14.79 -83.1839 29.2763 11166.5 12.615 0.964 0.95882 SUW3 1:16:17 PM 0.378 13.5 14.46 -83.184 29.2753 11279.5 0.96538 SUW3 1:17:17 PM 0.379 13.4 14.39 -83.1834 29.2746 11382.5 0.98735 SUW3 1:18:17 PM 0.374 13.4 14.53 -83.1823 29.2746 11494.5 0.9572 SUW3 1:19:17 PM 0.378 13.3 15.06 -83.1816 29.274 11597 1.2031 SUW3 1:20:17 PM 0.376 13.3 15.06 -83.181 29.2733 11696.5 11.52 0.925 1.2727 SUW3 1:21:17 PM 0.369 13.2 15.32 -83.1816 29.2726 11814.5 1.0757 SUW3 1:22:17 PM 0.365 13.2 15.79 -83.1826 29.2719 11945.5 0.85977 SUW3

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104 Appendix 2 (Continued) 1:23:17 PM 0.362 13.2 15.85 -83.1831 29.271 12065.5 1.0314 SUW3 1:24:17 PM 0.355 13.2 15.65 -83.1839 29.2705 12181.5 1.0166 SUW3 1:25:17 PM 0.345 13.1 15.99 -83.1839 29.2698 12298.5 13.222 0.994 1.0363 SUW3 1:26:17 PM 0.341 13.1 15.99 -83.183 29.2694 12404.5 0.9729 SUW3 1:27:17 PM 0.336 13.1 15.72 -83.1831 29.2684 12517.5 0.8642 SUW3 1:28:17 PM 0.332 13.1 15.59 -83.1837 29.2675 12639.5 1.0927 SUW3 1:29:17 PM 0.326 13.1 15.99 -83.1843 29.2666 12764 1.1614 SUW3 1:30:17 PM 0.311 13.1 16.72 -83.1855 29.2665 12887.5 12.058 0.95 1.104 SUW3 1:31:17 PM 0.302 13.1 17.53 -83.1868 29.2665 13014.5 1.0704 SUW3 1:32:17 PM 0.299 13 17.66 -83.1878 29.2671 13134.5 1.1238 SUW3 1:33:17 PM 0.29 13 17.93 -83.1884 29.2661 13270.5 1.3367 SUW3 1:34:17 PM 0.278 13 17.93 -83.1886 29.265 13394.5 1.294 SUW3 1:35:17 PM 0.264 13 19.02 -83.1884 29.2642 13506.5 9.378 0.839 1.1867 SUW3 1:36:17 PM 0.256 13 20.73 -83.1876 29.2634 13626.5 1.2188 SUW3 1:37:17 PM 0.246 13 20.52 -83.1878 29.2624 13751.5 1.204 SUW3 1:38:17 PM 0.238 13 19.57 -83.187 29.262 13855.5 1.1761 SUW3 1:39:17 PM 0.233 13 19.57 -83.1862 29.2621 13956.5 1.2703 SUW3 1:40:17 PM 0.222 13 20.25 -83.1861 29.261 14080.5 10.809 0.9 0.90114 SUW3 1:41:17 PM 0.214 13 21.14 -83.186 29.26 14191.5 1.4686 SUW3 1:42:17 PM 0.207 13 20.66 -83.1856 29.2591 14253 SUW3 13:43:45 0.075 14.6 25.5677 -83.2277 29.3775 142.2 1.894 0.364 0.86259 SUW7 13:44:46 0.073 14.6 25.4971 -83.2278 29.3785 176.9 1.0827 SUW7 13:45:48 0.071 14.6 25.5677 -83.2277 29.3793 265.1 1.1493 SUW7 13:46:48 0.069 14.6 25.5677 -83.2278 29.3802 367.9 1.1226 SUW7 13:47:49 0.068 14.6 25.4971 -83.2279 29.3812 479.9 1.1228 SUW7 13:48:49 0.068 14.6 25.4265 -83.2282 29.3821 585.65 1.702 0.347 1.059 SUW7 13:49:50 0.069 14.6 25.2149 -83.2285 29.3831 701.55 0.78173 SUW7 13:50:50 0.067 14.6 24.8627 -83.2292 29.3838 805.95 1.1272 SUW7 13:51:50 0.069 14.4 24.8593 -83.2298 29.3847 927.25 1.0457 SUW7 13:52:50 0.07 14.3 24.9983 -83.2295 29.3857 1047.8 1.084 SUW7 13:53:51 0.069 14.3 24.9983 -83.2293 29.3867 1160.95 1.859 0.364 1.0381 SUW7 13:54:52 0.068 14.2 25.1374 -83.2294 29.3877 1273.2 1.1014 SUW7 13:55:52 0.068 14.2 25.0669 -83.2293 29.3887 1388.2 1.1686 SUW7 13:56:54 0.071 14 25.0631 -83.2288 29.3899 1528.45 1.1645 SUW7 13:57:55 0.071 14 24.852 -83.2286 29.3909 1647.8 1.0474 SUW7 13:58:56 0.07 13.9 24.569 -83.2295 29.3915 1759.15 1.722 0.351 1.03 SUW7 13:59:57 0.069 13.9 24.3585 -83.2304 29.392 1859.95 1.2791 SUW7 14:00:58 0.068 13.8 24.3565 -83.2313 29.3925 1967.6 1.4754 SUW7 14:01:58 0.068 13.7 24.2844 -83.2322 29.3927 2066.2 1.2518 SUW7

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105 Appendix 2 (Continued) 14:02:58 0.066 13.8 24.2163 -83.2333 29.3925 2175.75 0.96299 SUW7 14:03:59 0.065 13.8 24.0762 -83.2343 29.3926 2273.65 1.294 0.305 1.3839 SUW7 14:04:59 0.065 13.8 24.0062 -83.2354 29.3925 2381.6 1.1388 SUW7 14:05:59 0.065 13.7 24.2143 -83.2365 29.3925 2488.4 1.0445 SUW7 14:06:59 0.064 13.7 24.3545 -83.2375 29.3925 2586.25 0.97544 SUW7 14:07:59 0.065 13.7 24.4246 -83.2386 29.3925 2693.45 1.2877 SUW7 14:08:59 0.065 13.7 24.4246 -83.2397 29.3922 2805.6 1.514 0.33 1.001 SUW7 14:09:59 0.066 13.7 24.4246 -83.2407 29.3921 2905.55 0.87857 SUW7 14:10:59 0.065 13.7 24.4246 -83.2417 29.3923 3014.65 1.0841 SUW7 14:11:59 0.066 13.7 24.4948 -83.2426 29.392 3113.15 1.0874 SUW7 14:13:01 0.065 13.7 24.565 -83.2434 29.3926 3221.15 1.0885 SUW7 14:14:01 0.063 13.7 24.6352 -83.2443 29.3931 3328.25 1.288 0.303 0.90794 SUW7 14:15:02 0.063 13.7 24.7054 -83.245 29.3938 3433.6 1.1186 SUW7 14:16:03 0.062 13.8 24.7777 -83.2458 29.3947 3561.15 1.6344 SUW7 14:17:04 0.061 13.8 24.848 -83.2464 29.3955 3669.3 1.1528 SUW7 14:18:05 0.061 13.8 24.7777 -83.247 29.3963 3773.05 0.95282 SUW7 14:19:06 0.06 13.8 24.7777 -83.2475 29.3971 3876.7 1.424 0.318 1.4171 SUW7 14:20:06 0.062 13.9 24.7095 -83.2482 29.3979 3989.75 1.1741 SUW7 14:21:07 0.062 13.9 24.7095 -83.2488 29.3988 4105 1.301 SUW7 14:22:07 0.061 13.9 24.7095 -83.2494 29.3996 4213.15 2.0729 SUW7 14:23:07 0.06 13.9 24.7095 -83.25 29.4004 4316.05 2.2971 SUW7 14:24:08 0.059 13.9 24.7095 -83.2509 29.401 4423.1 0.856 0.247 1.4295 SUW7 1:58:19 PM 0.151 12.5 18.13 -83.1803 29.2533 206.55 1.1888 SUW4 1:59:19 PM 0.152 12.5 18.27 -83.181 29.2525 331.2 1.2162 SUW4 2:00:19 PM 0.152 12.5 16.92 -83.1814 29.2516 446.7 6.134 0.681 1.203 SUW4 2:01:19 PM 0.153 12.5 16.65 -83.1818 29.2506 570.2 1.1366 SUW4 2:02:19 PM 0.151 12.5 17.39 -83.182 29.2495 695.9 1.204 SUW4 2:03:19 PM 0.152 12.5 17.86 -83.1819 29.2486 796.15 1.105 SUW4 2:04:19 PM 0.155 12.5 17.32 -83.1813 29.2478 921.3 0.84195 SUW4 2:05:19 PM 0.157 12.8 18.13 -83.1806 29.2471 1027 1.0452 SUW4 2:06:19 PM 0.163 12.9 18.14 -83.1804 29.246 1150.1 1.0855 SUW4 2:07:19 PM 0.166 13 18.34 -83.1799 29.2452 1259.85 0.96683 SUW4 2:08:19 PM 0.167 13 18.54 -83.1789 29.2448 1373.4 0.94762 SUW4 2:09:19 PM 0.167 13 19.36 -83.1778 29.2445 1486.25 0.92728 SUW4 2:10:19 PM 0.169 13 19.84 -83.1766 29.2443 1606.5 5.064 0.614 0.87145 SUW4 2:11:19 PM 0.169 13 19.98 -83.1755 29.2442 1714.95 0.91328 SUW4 2:12:19 PM 0.169 13 19.5 -83.1744 29.244 1824.75 1.0491 SUW4 2:13:19 PM 0.17 13 19.77 -83.1733 29.2437 1936.5 0.95886 SUW4 2:14:19 PM 0.168 13.1 19.98 -83.1721 29.2435 2057.55 0.99019 SUW4

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106 Appendix 2 (Continued) 2:15:19 PM 0.166 13.1 20.32 -83.1709 29.2434 2175.2 4.928 0.606 1.0795 SUW4 2:16:19 PM 0.163 13.1 20.8 -83.1697 29.2434 2292.3 1.1224 SUW4 2:17:19 PM 0.16 13.1 20.73 -83.1687 29.243 2405 1.0327 SUW4 2:18:19 PM 0.158 13.1 20.59 -83.1677 29.2423 2531.65 0.99056 SUW4 2:19:19 PM 0.151 13.2 20.67 -83.1666 29.2421 2642 1.3109 SUW4 2:46:19 PM 0.108 13.2 19.84 -83.1457 29.229 132.1 0.89316 SUW5 2:47:19 PM 0.104 13.2 20.8 -83.146 29.2281 144.75 0.9327 SUW5 2:48:19 PM 0.102 13.2 20.87 -83.1449 29.2276 269.05 1.0582 SUW5 2:49:19 PM 0.099 13.2 22.11 -83.144 29.227 387.05 1.1377 SUW5 2:50:19 PM 0.095 13.3 22.19 -83.1433 29.2262 498.5 4.249 0.557 0.77254 SUW5 2:51:19 PM 0.093 13.3 22.19 -83.1424 29.2255 627.25 1.0929 SUW5 2:52:19 PM 0.091 13.3 21.56 -83.1416 29.2248 734.3 1.0247 SUW5 2:53:18 PM 0.089 13.3 21.36 -83.1405 29.2243 857.6 1.0997 SUW5 2:54:18 PM 0.086 13.3 21.36 -83.1394 29.2239 972.75 1.1596 SUW5 2:55:18 PM 0.086 13.3 21.84 -83.1383 29.2236 1090.5 3.804 0.527 SUW5 2:56:18 PM 0.084 13.3 21.36 -83.1372 29.2232 1211.85 1.0111 SUW5 2:57:18 PM 0.084 13.3 20.67 -83.1363 29.2224 1336.15 0.96922 SUW5 2:58:18 PM 0.083 13.3 19.98 -83.1359 29.2215 1448.25 0.85793 SUW5 2:59:18 PM 0.081 13.3 19.98 -83.1358 29.2205 1574.85 1.0372 SUW5 3:00:18 PM 0.098 13.3 20.26 -83.1352 29.2195 1704.9 2.346 0.414 1.0924 SUW5 3:01:18 PM 0.093 13.2 20.8 -83.1346 29.2186 1825.45 0.94601 SUW5 3:02:18 PM 0.083 13.2 21.77 -83.1334 29.2181 1950.6 1.0624 SUW5 3:03:18 PM 0.078 13.2 22.81 -83.1322 29.2177 2078.2 0.96454 SUW5 3:04:18 PM 0.076 13.2 23.02 -83.1317 29.2169 2191.6 0.82874 SUW5 3:05:18 PM 0.075 13.2 22.81 -83.1318 29.216 2315 2.862 0.458 0.95277 SUW5 3:06:18 PM 0.075 13.2 22.05 -83.1328 29.2159 2429.05 0.86547 SUW5 3:07:18 PM 0.072 13.2 22.39 -83.1329 29.2149 2555 0.94688 SUW5 3:08:18 PM 0.071 13.2 22.6 -83.1322 29.214 2676.1 1.1822 SUW5 3:09:18 PM 0.069 13.2 23.57 -83.1319 29.2129 2804.2 1.2414 SUW5 3:10:18 PM 0.069 13.3 24.07 -83.1316 29.2119 2919.75 3.003 0.469 1.0721 SUW5 3:11:18 PM 0.069 13.3 24.14 -83.1319 29.2109 3039.75 1.0622 SUW5 3:12:18 PM 0.067 13.3 24.7 -83.1328 29.2102 3161.7 0.95266 SUW5 3:13:18 PM 0.067 13.4 25.54 -83.1333 29.2092 3287.1 1.0625 SUW5

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107 Appendix 2 (Continued) 3:14:18 PM 0.067 13.5 25.26 -83.1324 29.2084 3409.75 0.93134 SUW5 3:15:18 PM 0.066 13.6 25.48 -83.1324 29.2074 3532.6 1.0186 SUW5 3:16:18 PM 0.065 13.7 25.34 -83.1321 29.2064 3666.25 2.463 0.422 0.94516 SUW5 3:17:18 PM 0.065 13.7 25.34 -83.131 29.2056 3801.8 0.8483 SUW5 3:18:18 PM 0.065 13.7 25.48 -83.1302 29.2047 3930.85 0.89163 SUW5 3:19:18 PM 0.064 13.7 25.83 -83.1296 29.2042 3982.5 1.878 0.368 0.7488 SUW5 12:24:28 0.1 14.2 26.6931 -83.1984 29.3126 101.7 1.0475 SUW6 12:25:28 0.099 14.2 26.8351 -83.1988 29.3135 131.85 1.2803 SUW6 12:26:28 0.098 14.3 26.9793 -83.1989 29.3146 254.75 1.0752 SUW6 12:27:28 0.097 14.3 27.1215 -83.1987 29.3157 380.4 1.0377 SUW6 12:28:28 0.097 14.4 27.1236 -83.1985 29.3168 504.6 2.882 0.45 1.0317 SUW6 12:29:28 0.1 14.4 26.8392 -83.1991 29.3177 626.9 0.96934 SUW6 12:30:28 0.112 14.4 26.6971 -83.2001 29.3184 751.85 1.0314 SUW6 12:31:28 0.121 14.4 26.4133 -83.2006 29.3194 875.95 1.1255 SUW6 12:32:28 0.114 14.4 26.2715 -83.2006 29.3205 999 1.0148 SUW6 12:33:28 0.118 14.4 26.1299 -83.1997 29.3213 1129.4 1.686 0.344 1.0123 SUW6 12:34:28 0.125 14.4 25.9883 -83.1984 29.3218 1266.3 1.123 SUW6 12:35:28 0.1 14.4 25.9176 -83.1972 29.3224 1405 1.0932 SUW6 12:36:28 0.096 14.4 25.8468 -83.1963 29.3232 1529.45 0.89737 SUW6 12:37:28 0.096 14.3 25.9157 -83.1954 29.3239 1646.9 0.97882 SUW6 12:38:28 0.094 14.3 26.0572 -83.1945 29.3247 1774.1 1.696 0.346 1.0505 SUW6 12:39:28 0.094 14.3 26.1279 -83.1938 29.3256 1898.3 1.0239 SUW6 12:40:28 0.092 14.3 26.4113 -83.1938 29.3266 2014.4 1.063 SUW6 12:41:28 0.094 14.6 27.2699 -83.1949 29.327 2131.7 1.1375 SUW6 12:42:28 0.095 14.8 27.8443 -83.1955 29.3279 2246.3 1.1276 SUW6 12:43:28 0.096 14.8 26.7755 -83.1959 29.3288 2360.85 2.636 0.427 1.17 SUW6 12:44:28 0.098 14.8 26.3496 -83.1957 29.3299 2485 1.1455 SUW6 12:45:28 0.1 14.8 26.137 -83.1952 29.3308 2598.8 1.1877 SUW6 12:46:29 0.102 14.8 25.9245 -83.1946 29.3317 2713.85 1.0354 SUW6 12:47:28 0.105 14.8 25.4298 -83.194 29.3326 2831.55 1.1586 SUW6 12:48:29 0.103 14.6 25.2149 -83.1937 29.3335 2937.85 2.45 0.414 1.1309 SUW6 12:49:28 0.102 14.5 25.1427 -83.1941 29.3344 3047.4 1.1035 SUW6 12:50:28 0.105 14.4 25.0001 -83.1948 29.3352 3161.05 1.1372 SUW6 12:51:28 0.113 14.3 24.928 -83.1955 29.336 3290.4 1.213 SUW6 12:52:28 0.103 14.2 24.8558 -83.1963 29.3367 3401.1 1.2308 SUW6 12:53:28 0.103 14.2 24.9261 -83.1973 29.3373 3520.55 2.758 0.441 1.1332 SUW6 12:54:28 0.104 14.2 24.9261 -83.1984 29.3379 3647.45 1.1767 SUW6 12:55:28 0.109 14.2 25.0669 -83.1996 29.3381 3766.35 1.0059 SUW6 12:56:29 0.096 14.2 25.1374 -83.2005 29.339 3900.75 1.4611 SUW6 12:57:28 0.091 14.2 25.2078 -83.201 29.34 4022.2 1.1475 SUW6 12:58:29 0.084 14.2 25.0669 -83.2011 29.3411 4147.35 1.623 0.338 1.4676 14 SUW6 12:59:28 0.079 14.3 25.1392 -83.2014 29.3422 4270.25 1.0439 14 SUW6 13:00:29 0.077 14.3 25.0688 -83.2017 29.3433 4398.05 1.0315 12.5 SUW6 13:01:29 0.075 14.3 25.0688 -83.2017 29.3444 4519.15 0.99425 11.75 SUW6 13:02:29 0.074 14.3 24.928 -83.2016 29.3455 4640.75 1.088 11 SUW6

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108 Appendix 2 (Continued) 13:03:29 0.074 14.2 24.9965 -83.2015 29.3467 4772.85 1.767 0.353 1.0293 10.25 SUW6 13:04:29 0.075 14.2 24.9261 -83.2008 29.3477 4905.4 1.1056 10.5 SUW6 13:05:29 0.076 14.2 25.0669 -83.2001 29.3487 5035.7 1.0837 10.75 SUW6 13:06:29 0.079 14.2 24.8558 -83.1993 29.3496 5162.15 1.0398 10.75 SUW6 13:07:29 0.079 14.2 24.7855 -83.1992 29.3507 5289.2 0.96621 11.75 SUW6 13:08:29 0.079 14.2 24.5044 -83.1995 29.3517 5404 1.978 0.373 0.94016 11 SUW6 13:09:29 0.083 14.2 24.5044 -83.1999 29.3528 5532.15 1.0994 11 SUW6 13:10:29 0.087 14.3 24.5764 -83.2008 29.3534 5643 1.1089 11 SUW6 13:11:29 0.087 14.4 24.5781 -83.202 29.3537 5766.9 1.0766 11.25 SUW6 13:12:29 0.091 14.4 23.9468 -83.2031 29.354 5880.3 0.93296 10.25 SUW6 13:13:29 0.098 14.4 23.7368 -83.2037 29.355 6007.35 2.249 0.397 0.98005 10.5 SUW6 13:14:29 0.094 14.4 24.0869 -83.2041 29.3561 6136.85 1.2465 11 SUW6 13:15:29 0.089 14.4 23.8767 -83.2045 29.3571 6253.15 0.94575 11.75 SUW6 13:16:29 0.086 14.4 23.9468 -83.2052 29.3579 6371.2 1.0419 11 SUW6 13:17:28 0.084 14.6 24.6517 -83.2063 29.3582 6483.75 1.0489 11.75 SUW6 13:18:29 0.082 14.6 25.4265 -83.2072 29.3588 6595.65 2.304 0.401 1.1144 11.25 SUW6 13:19:30 0.081 14.6 25.4971 -83.2081 29.3592 6692.85 1.2496 10 SUW6 13:20:30 0.081 14.6 25.709 -83.2091 29.3598 6784.314 1.1634 10 SUW6

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109 Appendix 3: Matlab codes used to process data Function UTMdepthpts %First step in Resistivity analysis %this program attempts to get UTM coordinates for water depths with only %linear distance along line as the reference %1st pull in UTM and linear files w/ res data and pull those together LLTcor=dlmread('SUW7a_ lin_AllInvRes.llt'); Lineardiscor=dlmread('SU W7a_lin_AllInvRes.xyz'); sizeLLT=length(LLTcor); sizeLinear=size(Lineardiscor); CombineLLTLD=[Lineardiscor(:,1 ) LLTcor(:,1) LLTcor(:,2)]; n=1; for i=2:sizeLLT; if Lineardiscor(i,2)~=Lineardiscor(i-1,2); n=n+1;%number of depths where the linear distance will repeat end end truerows=sizeLLT/n;%cuts final file so there are no repeats Depths=dlmread('SUW7_lin.dep'); sizeDepths=length(Depths); x=1; for i=1:sizeDepths;%this statement prev ents repeats in data points this if Depths(i,1)~=Depths(i+1);%cause s matlab to give error message of Depths2(x,:)=Depths(i, :);%values of X must be distict x=x+1; end end x=1; for i=1:truerows; CombineDepLLT(x,1)=CombineLLTLD(i,2); CombineDepLLT(x,2)=CombineLLTLD(i,3); CombineDepLLT(x,3)=CombineLLTLD(i,1); CombineDepLLT(x,4)=interp1(Depths2(:, 1),Depths2(:,2),CombineLLTLD(i,1),'linear'); x=x+1; end [LLTrows LLTcols]=size(CombineDepLLT); %%%%%%%%%%%%%%%%%%%%%%%% %below makes sure that all resistivity data used has water depth info %if not then it wont be used for further analysis for i=1:LLTrows; if CombineDepLLT(i,4)>0 CombineDepLLT1(i,:)=CombineDepLLT(i,:); end end %%%%%%%%%%%%%%%%%%%%%%%% plot(Depths2(:,1),Depths2(:,2)) hold on plot(CombineDepLLT1(:,3),CombineDepLLT1(:,4),'.r') %for i=1:truerows; % for j=1:sizeDepths; % if Depths(j,1)<=CombineLLTLD( i,1)+.5 & Depths(j,1) >=CombineLLTLD(i,1)-.5; % Combin eDepLLT(x,1)=CombineLLTLD(i,2); % Combin eDepLLT(x,2)=CombineLLTLD(i,3);

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110 Appendix 3 (Continued) % Combin eDepLLT(x,3)=CombineLLTLD(i,1); % CombineDepLLT(x,4)=Depths(j,2); % CombineDepLLT(x,5)=Depths(j,4); % CombineDepLLT(x,6)=Depths(j,5); % x=x+1; % end % end %end dlmwrite('depthpts_w_LLT_lineardistance_SUW7.txt',CombineDepLLT1,'delimiter','\t','precision',12); function trimdown %2nd step in Resistivity analysis %takes resistivity files and subt racts depth at corresponding UTM %coordinates then removes data from depths above riverbed from UTMdepthpts.m p=1 C=dlmread('SUW4_lin_AllInvRes.utm'); A=dlmread('depthpts_w_UTM_lineardistance_SUW4.txt'); % % save('SUW4_utmfile.mat','C','A'); % load('SUW4_utmfile.mat','C','A') % p=2 p=3 [Arows Acols]=size(A) [Crows Ccols]=size(C) y=1; for i=1:Arows; for j=1:Crows; if A(i,1)==C(j,1) & A(i,2)==C(j,2) & A(i,2)>.5; D(y,1)=A(i,1);%Easting D(y,2)=A(i,2);%northing D(y,3)=C(j,3)+A(i,4);%new depth D(y,4)=C(j,4);%resistivity D(y,5)=A(i,3);%linear distance y=y+1; end end end [Drows Dcols]=size(D) dlmwrite('SUW4Res_below_sedsurface.txt',D,'delimiter','\t','precision',12); Depths=dlmread('SUW4_lin.dep'); plot(Depths(:,1),Depths(:,2)*-1) hold on plot(D(:,5),D(:,3),'r.')

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111 Appendix 3 (Continued) function Res_interp_to_depths %3rd step in resistivity analysis, takes output from trimdown.m %this program will interpolate linearly between resistivity points below %sediment surface and output Data=dlmread('SUW7Res_below_sedsurface.txt'); [nrows ncols]=size(Data); Interpdep=-5 %depth you want Res at x=1; n=1; for i=2:nrows;%loops through rows of data below sedsurface if Data(i,5)==Data(i-1,5);%if linear distance of pt=ld of prior pt n=n+1; else %below takes single linear distance and interpolates a resistivity %value at a depth given by Interpdep using all available %resistivity data at each known depth if n==10;%# of Res soundings at that linear distance Data2(1:n,:)=Data(i-n:i-1,:); Data3(x, 1)=Data2(1,1);%Longitude Data3(x,2)=Data2(1,2);%Lattitude Data3(x, 5)=Data2(1,5);%linear distance Data3(x,3)=interp1(Data2(:,3),D ata2(:,4),Interpdep,'linear');%Res at interp depth Data3(x,4)=Interpdep; x=x+1; end if n==11;%# of Res soundings at that linear distance Data2(1:n,:)=Data(i-n:i-1,:); Data3(x,1)=Data2(1,1);%Longitude Data3(x,2)=Data2(1,2);%Lattitude Data3(x, 5)=Data2(1,5);%linear distance Data3(x,3)=interp1(Data2(:,3),D ata2(:,4),Interpdep,'linear');%Res at interp depth Data3(x,4)=Interpdep; x=x+1; end if n==12;%# of Res soundings at that linear distance Data2(1:n,:)=Data(i-n:i-1,:); Data3(x, 1)=Data2(1,1);%Longitude Data3(x,2)=Data2(1,2);%Lattitude Data3(x, 5)=Data2(1,5);%linear distance Data3(x,3)=interp1(Data2(:,3),D ata2(:,4),Interpdep,'linear');%Res at interp depth Data3(x,4)=Interpdep; x=x+1; end n=1; end end [d3rows d3cols]=size(Data3); realdepth=dlmread('depthpts_w_LLT_lineardistance_SUW7.txt'); [rdrows rdcols]=size(realdepth);

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112 Appendix 3 (Continued) p=1; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %makes sure none of the depths are below the lowest resistivity depth %sounding for i=1:d3rows;%loops through all linear distances for j=1:rdrows;%loops through all linear distances again if Data3(i,5)==realdepth(j,3); pt=Data3(i,4)-realdepth(j,4); else pt=-29; end if pt>-27;%lowest resistivity depth sounding Data4(i,:)=Data3(i,:); end end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% [d4rows d4cols]=size(Data4); for i=1:d4rows;%makes sure only data with resistivity >0 are used if Data4(i,3)>0; Data5(p,:)=Data4(i,:); p=p+1; end end dlmwrite('SUW7_Res5m_b_sed_surf.txt',Data5,'\t'); function resistivity_compare_Rnpts %Program will search through resistivity data and find points closest to %existing geochemical data locations %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %Read in data files filein=char('depthpts_w_LLT_lineardistance_SUW4.txt'); [files chars]=size(filein); Data=dlmread('suw4_ld.txt','\t'); [drows dcols]=size(Data); Data(:,5); nearestpts=zeros(drows,2); l=1; for p=1:files trimname=deblank(filein(p,:)); trimname2=deblank(fileout(p,:)); Res=dlmread(trimname); [nrows ncols]=size(Res); for j=1:drows for k=1:nrows; % LOOP OVER RES POINTS IN THIS FILE if Res(k,4)>0;%depth of Res pts cord iff(k,1)=(Data(j,1)-Res(k,2))^2;%lat cordiff(k,2)=(Data(j,2)-Res(k,1))^2;%long cordiff(k,3)=sqrt(sum(cordiff(k,1:2))); size(cordiff); end end cordiff(:,3);

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113 Appendix 3 (Continued) if min(cordiff(:,3))<.001;%maximum distance between radon and resistivity pt in degrees [m I]=min(cordiff(:,3)); nearestpts(j,1:2)=Data(j,1:2); nearestpts(j,3)=Res(I,3); end end nearestpts; clear cordiff end [nrows ncols]=size(nearestpts); A=dlmread('SUW4_Res5m_b_sedsurf.txt'); [arows acols]=size(A); l=1; for i=1:nrows; alldata(l,1:3)=nearestpts(i,1:3); for j=1:arows; if nearestpts(i,3)==A(j,5) alldata(l,4)=A(j,3); end end l=l+1; end dlmwrite('SUW4_ld_res.txt',alldata,'\t') function salinitycalc %this calculation provided by YSI and is from %Constants from the 19th Edition of Standard Methods %%%%%%%%%%%%%% %Inputs Data=dlmread('condtest.txt'); [Drows Dcols]=size(Data); for i=1:Drows; C=Data(i,1);%conductivity in mS/cm t=Data(i,2);%temp of water in deg C if Dcols<3 p=0;%water pressure at sa mple location in decibars(1db=10^-1 bar) end %%%%%% %Constants a0=0.0080;a1=-0.1692;a2=25.3851;a3=14.0941; a4=-7.0261;a5=2.7081; b0=0.0005; b1=-0.0056; b2=-0.0066; b3=-0.0375; b4=0.0636; b5=-0.0144; k=0.0162; c0=0.6766097; c1=0.0200564; c2=0.0001104259; c3=-0.00000069698; c4=0.0000000010031; d1=0.03426;d2=0.0004464;d3=0.4215;d4=-0.003107; e1=0.000207;e2=-0.0000000637;e3=0.000000000003989; %%%%%%%%%%%%%%%% %equations R=C/42.914; Rp=1+((p*(e1+e2*p+e3*p^2))/(1+d1*t+d2*t^2+(d3+d4*t)*R)); rt=c0+c1*t+c2*t^2+c3*t^3+c4*t^4; Rt=R/(Rp*rt);

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114 Appendix 3 (Continued) DeltaS=((t-15)/(1+k*(t-15)))*(b0+b1*Rt^0.5+b2*Rt+b3*Rt^(3/2)+b4*Rt^2+b5*Rt^(5/2)); S=a0+a1*Rt^.5+a2*Rt+a3*Rt^(3/2)+a4*Rt^2+a5*Rt^(5/2)+DeltaS; %S=salinity Dataout(i,1:2)=Data(i,1:2); Dataout(i,3)=S; end dlmwrite('condtestout.txt',Dataout,'\t'); function comparepts_LLT %Program will find points with k nown data in the ASCII geotiff file %and get intensity from those same points for stastitical analysis %SEE INSTRUCTIONS AT END OF FILE %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%% %Reads in specific file with points wh ere radon and ch4 data are known in %UTM coordinates llLatitude=29.225529103835;%Latitude of LL corner of image (from info.txt file) llLongitude=-83.213866737188;%Longitude of LL corner of image (from info.txt file) cellsizex=.000014490325;%equivelent to 1.5 meters (image cell size) cellsizey=.000014490325;%equivelent to 1.5 meters (image cell size) nrows=6339;%<----TAKE FROM image info file or image ncols=7230;%<----TAKE FROM image info file or image range1=[1 1 6339 7230];%<----LAST 2 nrows and ncols from line 12 %Below reads in file with known points to extract from image filein=char('suw3_temp_pts.txt'); fileout=char('suw3_temp_ld.txt'); [files chars]=size(filein); for p=1:files; trimname=deblank(filein(p,:)); trimname2=deblank(fileout(p,:)); B=dlmread(trimname); [Brows Bcols]=size(B); if Brows<=1 & Bcols<=1; B=[0 0 0 0]; end [Brows Bcols]=size(B); x=llLongitude:cellsizex:llLongitude+(ncols*cellsizex); y=llLatitude+(nrows*cells izey):-cellsizey:llLatitude; %Below converts LLT coordinates to row and column numbers for i=1:Brows; Converted(i,2)=(y(1)-B(i,2))/cellsizex; Converted(i,1)=(x(1)-B(i,1))/(cellsizey*-1); Converted(i,3)=B(i,4); Converted(i,4)=B(i,3); end Converted(:,1:2); for i=1:Brows; Converted(i,1:2)=round(Converted(i,1:2)); Converted(i,3:4)=Converted(i,3:4); end Converted(:,1:2);

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115 Appendix 3 (Continued) %Below clears unneeded variables from memory clear A B %Below reads in ASCII file of Image with range from above %Range is row and column of upper left hand of file are first two #'s %then lower right hand row and column are last two #'s image=dlmread('sarah2_geotiff_lltcorr.txt',''); %Below searches image fo r points and retrieves intensity for i=1:Brows; if ((Converted(i,2)<=range1(3)) & (Converted(i,2)>=range1(1)) &... (Converted(i,1)>=ran ge1(2)) & (Converted(i,1)<=range1(4)) &... (image(Con verted(i,2),Converted(i,1))>0)); ConvertedEnd(i,1)=Converted(i,1); ConvertedEnd(i,2)=Converted(i,2); ConvertedEnd(i,3)=image(Converted(i,2),Converted(i,1));%thermal intensity ConvertedEnd(i,4)=Converted(i,4);%resistivity end end %Below clears image from memory clear image [Erows Ecols]=size(ConvertedEnd) %Below only takes points where there there is intensity data for i=1:Erows; if ConvertedEnd(i,3)>0; ConvertedEnd2(i,:)=ConvertedEnd(i,:); end end [Erows2 Ecols2]=size(ConvertedEnd2); %Below converts row and colu mn numbers back to LLT coordinates for i=1:Erows2; ConvertedEnd2(i,1)=x(1)+cellsizex*ConvertedEnd2(i,1); ConvertedEnd2(i,2)=y(range1(1))-cellsizey*ConvertedEnd2(i,2); end %writes file out as text file %YOU MUST PUT IN COLUMN HEADER S BEFORE IMPORTING TO ARC GIS!!!!!!! %DELIMITED IN THE SAME WAY AS THE OUTPUT FILE u=1; for i=1:Erows2; if ConvertedEnd2(i,3)>0 & ConvertedEnd2(i,4)>0; Data(u,1)=ConvertedEnd2(i,1); Data(u,2)=ConvertedEnd2(i,2); Data(u,3)=Co nvertedEnd2(i,3);% thermal intensity Data(u,4)= ConvertedEnd2(i, 4);%resistivity u=u+1; end end %below averages multiple resistivities corresponding to the same x,y %intensity [drows dcols]=size(Data) for ithermal=1:drows;

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116 Appendix 3 (Continued) iinbox=0; resinbox=0; for ires=1:drows; if Data(ires,1)==Data( ithermal,1) & Data(ires,2)==Data(ithermal,2); iinbox=iinbox+1; resinbox=resinbox+Data(ires,4); end end Data2(ithermal,4)=resinbox/iinbox; Data2(ithermal,1)=Data(ithermal,1); Data2(ithermal,2)=Data(ithermal,2); Data2(ithermal,3)=Data(ithermal,3); end dlmwrite(trimname2,Data2 ,’delimiter’,’\t’,’precision’,12) clear Converted ConvertedEnd ConvertedEnd2 Data Data2 Erows Ecols clear Erows2 Ecols2 ithermal resinbox iinbox ires drows dcols end

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117 Appendix 4: Data collected with EM-31 1m above ground Ground level Shore parallel Shore perpendicular Shore parallel Shore perpendicular Screen up Screen over Screen up Screen over Scre en up Scree n over Screen up Screen over Lat Long Q I Q I Q I Q I QI Q I Q I Q I 29.28063 -83.10157 211 7.7 196 0.4 211 9.6 188 -2.5 29.27555 -83.0972 283 20.4 282 11 287 20 243 14.1 268 20 365 20 29.29092 -83.07647 282 16 258 1.8 All Q values in mS/m and I values ar e ppt. Data was collected on 9/26/05