@article {Park:2004:1938-6478:313,
	author = "Park, Mi-Hyun and Stenstrom, Michael K.",
	title = "SPATIAL ESTIMATES OF STORMWATER POLLUTANT LOADING USING BAYESIAN NETWORKS AND GEOGRAPHIC INFORMATION SYSTEMS",
	journal = "Proceedings of the Water Environment Federation",
	volume = "2004",
	number = "11",
	year = "2004",
	abstract = "Stormwater runoff has become the primary source of many pollutants to the Santa Monica Bay Watershed and managing stormwater inputs to the Bay has become the primary objective of new regulatory efforts. Empirical methods to estimate stormwater pollution have been developed using land use data; however, land use data collected from traditional ground surveys are expensive and time consuming, and may not be available. This study used an alternative approach and estimated land use from satellite image classification using Bayesian networks. The results were converted to thematic maps using a geographic information system to visualize spatial estimates of runoff coefficients of the given area, event mean concentrations of target pollutants, and their pollutant loads. The thematic maps identified areas of high stormwater pollutant emissions, which were highly correlated to impervious areas because of their high runoff coefficients, even when they had low event mean concentrations. In this watershed the major sources of non-point source pollution are the multiple-family residential, commercial, industrial, and transportation land uses adjacent to Marina del Rey and Ballona Wetlands.",
	pages = "313-325",
	url = "http://www.ingentaconnect.com/content/wef/wefproc/2004/00002004/00000011/art00027",
	doi = "doi:10.2175/193864704784136108"
}