Computing the Risks Associated with Wasteload Allocation Modeling

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dc.acquisition-srcDownloaded from-Web of Scienceen_US
dc.call-noen_US
dc.contract-noen_US
dc.contributor.authorWarwick JJen_US
dc.contributor.authorRoberts LAen_US
dc.contributor.otherWater Resources Bulletinen_US
dc.date.accessioned2010-02-15T17:17:52Z
dc.date.available2010-02-15T17:17:52Z
dc.date.issued1992 Sepen_US
dc.degreeen_US
dc.description903-915en_US
dc.description-otheren_US
dc.description.abstractThe risks associated with a traditional wasteload allocation (WLA) analysis were quantified with data from a recent study of the Upper Trinity River (Texas). Risk is define here as the probability of failing to meet an established in-stream water quality standard. The QUAL-TX dissolved oxygen (DO) water quality model was modified to a Monte Carlo framework. Flow augmentation coding was also modified to allow an exact match to be computed between the predicted and an established DO concentration standard, thereby providing an avenue for linking input parameter uncertainty to the assignment of a wasteload permit (allowable mass loading rate). Monte Carlo simulation techniques were employed to propagate input parameter uncertainties, typically encountered during WLA analysis, to the computed effluent five-day carbonaceous biochemical oxygen demand requirements for a single major wastewater treatment plant (WWTP). The risk of failing to meet an established in-stream DO criterion may be as high as 96 percent. The uncertainty associated with estimation of the future total Kjeldahl nitrogen concentration for a single tributary was found to have the greatest impact on the determination of allowable WWTP loadingsen_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/23550
dc.latitudeen_US
dc.locationen_US
dc.longitudeen_US
dc.notesTimes Cited: 1ArticleEnglishWARWICK, J. JUNIV NEVADA RENO,GRAD PROGRAM HYDROL HYDROGEOL,1000 VALLEY RD,RENO,NV 89512Cited References Count: 13KM312950 HERNDON PARKWAY SUITE 300, HERNDON, VA 20170-5531HERNDONen_US
dc.placeen_US
dc.publisheren_US
dc.relation.ispartofseries51206.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesen_US
dc.subjectFLOWen_US
dc.subjectIMPACTen_US
dc.subjectmodelingen_US
dc.subjectMODELING STATISTICSen_US
dc.subjectNITROGENen_US
dc.subjectOXYGENen_US
dc.subjectPLANTen_US
dc.subjectPOLLUTION MODELINGen_US
dc.subjectPROGRAMen_US
dc.subjectriveren_US
dc.subjectSIMULATIONen_US
dc.subjectTEXASen_US
dc.subjectTrinity Riveren_US
dc.subjectUNCERTAINTYen_US
dc.subjectWATERen_US
dc.subjectwater qualityen_US
dc.subjectWATER RESOURCES PLANNINGen_US
dc.titleComputing the Risks Associated with Wasteload Allocation Modelingen_US
dc.typeJournalen_US
dc.universityen_US
dc.vol-issue28(5)en_US

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