Predicting Water Quality Parameters and Investigating the Impacts of Rainfall on Bacterial Concentrations in Arizona Surface Waters
The secondary objective was to determine if there are environmental variables collected from an ongoing project which would be a good candidate for making predictions about any of the project data parameters. Of the 79 possible opportunities for the model to accurately predict the dependent variable, it showed strong statistical favorability as well as experimentally favorable results towards Dissolved Organic Carbon as the best dependent variable from the data set, resulting in an accuracy of 41%. This is relevant since Dissolved Organic Carbon is one of the most important water quality parameters of concern for drinking water treatment plants where disinfection by-products are a limiting factor. The need for further analysis and additional data collection is an obvious result from both studies. The use of hydrograph data instead of rainfall would be a logical new direction for the heavily engineered water delivery systems.
- Author (aut): Buell, Andrew
- Thesis advisor (ths): Fox, Peter
- Thesis advisor (ths): Abbaszadegan, Morteza
- Committee member: Alum, Absar
- Publisher (pbl): Arizona State University