Identification and application of physical and chemical parameters to predict indicator bacterial concentration in a small Californian creek.
This study of Aliso Creek in California aimed to identify physical and chemical parameters that could be measured instantly to be used in a model to serve as surrogates for indicator bacterial concentrations during dry season flow. In this study, a new data smoothing technique and ranking/categorizing analysis was used to reduce variation to allow better delineation of the relationships between adopted variables and concentrations of indicator bacteria. The ranking/categorizing approach clarified overall trends between physico-chemical data and the indicators and suggested sources of the bacteria. This study also applied a principle component regression model to the data. Although the model was promising for predicting concentrations of total and fecal coliforms, it was somewhat weaker in predicting enteroccocci.
Bae
Hun-Kyun
HK
Henry Samueli School of Engineering, Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA. baeh@uci.edu
Olson
Betty H
BH
Hsu
Kuo-Lin
KL
Sorooshian
Soroosh
S
D001419:Bacteria / Q000302:isolation & purification*; D002140:California; D015169:Colony Count, Microbial; D014871:Water Microbiology