学位论文详细信息
DEVELOPING MATHEMATICAL MODELS FOR PREDICTING Escherichia coli CONCENTRATIONS AT WISCONSIN BEACHES USING REGRESSIONS
Water pollution;Regression analysis;Lakes monitoring;Escherichia coli
Yerram, Sashidhar R.McDermott, Colleen ;
University of Wisconsin
关键词: Water pollution;    Regression analysis;    Lakes monitoring;    Escherichia coli;   
Others  :  https://minds.wisconsin.edu/bitstream/handle/1793/46819/S%20Yerram%20Thesis.pdf?sequence=1&isAllowed=y
Subject:Water pollution|Regression analysis|Lakes monitoring|Escherichia coli
瑞士|英语
 issued in 2009-01-01, available in 2010-10-22, published in 2009-08
来源: University of Wisconsin
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【 摘 要 】
The traditional methods to quantitatively determine Escherichia coli concentrations in beach water are the membrane filtration and defined substrate methods. These methods take 18-24 hours for enumeration of E. coli concentrations. This may result in improper beach closures and openings, as authorities base their decisions on previous day E. coli concentrations. To overcome these problems mathematical models were developed, using the data collected from the 2007 swimming season, to predict the E. coli concentrations using various explanatory variables. Beaches from Douglas, Ashland, Bayfield and Door Counties, Wisconsin were chosen for developing the mathematical models. Mathematical models were developed using the United States Environmental Protection Agency (USEPA) ?Virtual Beach? software, an application that uses multiple linear regressions.The developed mathematical models were tested with model fitting (i.e. model is fitted with E. coli concentrations used for developing the predictive model). Mathematical models for six beaches were able to predict the loge E. coli concentrations with 100% accuracy. Explanatory variables that were included in the predictive models were unique for each beach. Overall it was concluded that predictive models should be beach specific. In future more robust mathematical models should be developed using larger data sets and mathematical models should be tested with real time E. coli concentrations.
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