Modeling phosporus in the upper Etowah River basin: Identifying sources under uncertainty

dc.contributor.author	Lin, Z	en
dc.contributor.author	Radcliffe, DE	en
dc.contributor.author	Beck, MB	en
dc.contributor.author	Risse, LM	en
dc.date.accessioned	2014-06-06T06:47:25Z
dc.date.available	2014-06-06T06:47:25Z
dc.date.issued	2007	en
dc.identifier.issn	02731223	en
dc.identifier.uri	http://dx.doi.org/10.2166/wst.2007.584	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/3586
dc.subject	Etowah River basin	en
dc.subject	Phosphorus	en
dc.subject	SWAT	en
dc.subject	Total maximum daily load	en
dc.subject	Uniform covering by probabilistic rejection	en
dc.subject.other	Mathematical models	en
dc.subject.other	Mean square error	en
dc.subject.other	Phosphorus	en
dc.subject.other	River pollution	en
dc.subject.other	Uncertainty analysis	en
dc.subject.other	Water quality	en
dc.subject.other	Soil and water assessment tool model	en
dc.subject.other	Uniform covering by probabilistic rejection algorithm	en
dc.subject.other	Rivers	en
dc.subject.other	phosphorus	en
dc.subject.other	phosphorus	en
dc.subject.other	Mathematical models	en
dc.subject.other	Mean square error	en
dc.subject.other	Phosphorus	en
dc.subject.other	River pollution	en
dc.subject.other	Rivers	en
dc.subject.other	Uncertainty analysis	en
dc.subject.other	Water quality	en
dc.subject.other	algorithm	en
dc.subject.other	error analysis	en
dc.subject.other	nonpoint source pollution	en
dc.subject.other	phosphorus	en
dc.subject.other	point source pollution	en
dc.subject.other	probability	en
dc.subject.other	river water	en
dc.subject.other	water quality	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	controlled study	en
dc.subject.other	forest	en
dc.subject.other	measurement error	en
dc.subject.other	nonpoint source pollution	en
dc.subject.other	pasture	en
dc.subject.other	poultry	en
dc.subject.other	river basin	en
dc.subject.other	uncertainty	en
dc.subject.other	United States	en
dc.subject.other	water pollutant	en
dc.subject.other	water quality	en
dc.subject.other	river	en
dc.subject.other	statistics	en
dc.subject.other	theoretical model	en
dc.subject.other	water flow	en
dc.subject.other	water pollution	en
dc.subject.other	Etowah Basin	en
dc.subject.other	Georgia	en
dc.subject.other	North America	en
dc.subject.other	United States	en
dc.subject.other	Georgia	en
dc.subject.other	Models, Theoretical	en
dc.subject.other	Phosphorus	en
dc.subject.other	Rivers	en
dc.subject.other	Uncertainty	en
dc.subject.other	Water Movements	en
dc.subject.other	Water Pollution	en
dc.title	Modeling phosporus in the upper Etowah River basin: Identifying sources under uncertainty	en
heal.type	journalArticle	en
heal.identifier.primary	10.2166/wst.2007.584	en
heal.publicationDate	2007	en
heal.abstract	The Uniform Covering by Probabilistic Rejection (UCPR) algorithm was used, in conjunction with the Soil an Water Assessment Tool (SWAT) model, to identify P loads from point source and nonpoint source polluters in the upper Etowah River basin (UERB) in Georgia. The key findings of the research are as follows. The mean absolute error was preferred over the root mean square error as a search criterion for the UCPR algorithm when water quality observations are scarce. The undocumented P load from point sources in the UERB was consistently estimated as about 43 kg/d by the proposed method; but the method was not able to identify the broiler litter application rate to the poultry/ beef operation pastures. Point sources (both documented and undocumented), poultry/beef operation pastures, and forests are the three major contributors of P. During 1992-1996, on average they accounted for 36.4, 31.7, and 17.2% of P load from the UERB, respectively. © IWA Publishing 2007.	en
heal.journalName	Water Science and Technology	en
dc.identifier.issue	6	en
dc.identifier.volume	56	en
dc.identifier.doi	10.2166/wst.2007.584	en
dc.identifier.spage	29	en
dc.identifier.epage	37	en