Journal article
Using SWAT, Bacteroidales microbial source tracking markers, and fecal indicator bacteria to predict waterborne pathogen occurrence in an agricultural watershed
Abstract
Developing the capability to predict pathogens in surface water is important for reducing the risk that such organisms pose to human health. In this study, three primary data source scenarios (measured stream flow and water quality, modelled stream flow and water quality, and host-associated Bacteroidales) are investigated within a Classification and Regression Tree Analysis (CART) framework for classifying pathogen (Escherichia coli 0157:H7, …
Authors
Frey SK; Topp E; Edge T; Fall C; Gannon V; Jokinen C; Marti R; Neumann N; Ruecker N; Wilkes G
Journal
Water Research, Vol. 47, No. 16, pp. 6326–6337
Publisher
Elsevier
Publication Date
10 2013
DOI
10.1016/j.watres.2013.08.010
ISSN
0043-1354