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Monitoring and modeling water quality at the C.W. Young Regional Reservoir

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Material Information

Title:
Monitoring and modeling water quality at the C.W. Young Regional Reservoir
Physical Description:
Book
Language:
English
Creator:
Dye, Daniel Robert
Publisher:
University of South Florida
Place of Publication:
Tampa, Fla
Publication Date:

Subjects

Subjects / Keywords:
Eutrophication
limnology
BATHTUB
Harmful algal blooms
Reservoirs
Dissertations, Academic -- Geography -- Masters -- USF   ( lcsh )
Genre:
bibliography   ( marcgt )
theses   ( marcgt )
non-fiction   ( marcgt )

Notes

Abstract:
ABSTRACT: This work explores the relationship between nutrient loading and changes in water quality in a sub-tropical, above-ground, off-stream municipal water supply reservoir, the C.W. Bill Young Regional Reservoir. The three source waters for the reservoir have varied but high levels of nutrients such as phosphorus and nitrogen. In other reservoirs, these nutrients have been linked to deterioration of water quality and increased expense in water treatment. The need to minimize excess nutrients results led to the primary research question: what allocation of withdrawals from the three sources will minimize the deterioration of water quality? To answer this question, the relationship between nutrient and other water quality data, such as temperature,phosphorus, chlorophyll a, Secchi depth, and trophic state indices were explored. Results indicate that temperature had a correlation with observed water quality.^ 27.9% of the variability in trophic state index as a function of Chlorophyll a was correlated with average temperature at one foot below water level. Correlation and regression models were developed using available time-series of linear and log-transformed water quality data to predict Chlorophyll a response. The parameters used in the model were selected from correlation matrices and from the P value in the multiple regression. The models developed were significant at P < 0.05. In the developed models, temperature was found to have greater predictive strength than nutrients indicating that this reservoir may be more strongly influenced by season and light than by nutrient limitation. Lastly, the US Army Corps of Engineers' eutrophication model, BATHTUB, was used to simulate different loading conditions and trophic response.^ The model results indicate that use of water the middle pool or lower pool of the Tampa Bypass Canal yield similar trophic states with the middle pool slightly lower. Use of water from the Alafia River yielded the highest trophic state and would be expected to have negative impacts on water quality.
Thesis:
Thesis (M.A.)--University of South Florida, 2006.
Bibliography:
Includes bibliographical references.
System Details:
System requirements: World Wide Web browser and PDF reader.
System Details:
Mode of access: World Wide Web.
Statement of Responsibility:
by Daniel Robert Dye.
General Note:
Title from PDF of title page.
General Note:
Document formatted into pages; contains 184 pages.

Record Information

Source Institution:
University of South Florida Library
Holding Location:
University of South Florida
Rights Management:
All applicable rights reserved by the source institution and holding location.
Resource Identifier:
aleph - 001919642
oclc - 184932333
usfldc doi - E14-SFE0001821
usfldc handle - e14.1821
System ID:
SFS0026139:00001


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G116 (ONLINE)
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Dye, Daniel Robert.
0 245
Monitoring and modeling water quality at the C.W. Young Regional Reservoir
h [electronic resource] /
by Daniel Robert Dye.
260
[Tampa, Fla] :
b University of South Florida,
2006.
3 520
ABSTRACT: This work explores the relationship between nutrient loading and changes in water quality in a sub-tropical, above-ground, off-stream municipal water supply reservoir, the C.W. Bill Young Regional Reservoir. The three source waters for the reservoir have varied but high levels of nutrients such as phosphorus and nitrogen. In other reservoirs, these nutrients have been linked to deterioration of water quality and increased expense in water treatment. The need to minimize excess nutrients results led to the primary research question: what allocation of withdrawals from the three sources will minimize the deterioration of water quality? To answer this question, the relationship between nutrient and other water quality data, such as temperature,phosphorus, chlorophyll a, Secchi depth, and trophic state indices were explored. Results indicate that temperature had a correlation with observed water quality.^ 27.9% of the variability in trophic state index as a function of Chlorophyll a was correlated with average temperature at one foot below water level. Correlation and regression models were developed using available time-series of linear and log-transformed water quality data to predict Chlorophyll a response. The parameters used in the model were selected from correlation matrices and from the P value in the multiple regression. The models developed were significant at P < 0.05. In the developed models, temperature was found to have greater predictive strength than nutrients indicating that this reservoir may be more strongly influenced by season and light than by nutrient limitation. Lastly, the US Army Corps of Engineers' eutrophication model, BATHTUB, was used to simulate different loading conditions and trophic response.^ The model results indicate that use of water the middle pool or lower pool of the Tampa Bypass Canal yield similar trophic states with the middle pool slightly lower. Use of water from the Alafia River yielded the highest trophic state and would be expected to have negative impacts on water quality.
502
Thesis (M.A.)--University of South Florida, 2006.
504
Includes bibliographical references.
516
Text (Electronic thesis) in PDF format.
538
System requirements: World Wide Web browser and PDF reader.
Mode of access: World Wide Web.
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Title from PDF of title page.
Document formatted into pages; contains 184 pages.
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Adviser: Robert Brinkmann, Ph.D.
653
Eutrophication.
limnology.
BATHTUB.
Harmful algal blooms.
Reservoirs.
690
Dissertations, Academic
z USF
x Geography
Masters.
773
t USF Electronic Theses and Dissertations.
4 856
u http://digital.lib.usf.edu/?e14.1821