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Accuracy of a Stormwater Monitoring Program for Urban Landuses

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dc.contributor.authorMadarang, Krish-
dc.contributor.authorKang, Joo-Hyon-
dc.date.accessioned2024-09-25T03:31:46Z-
dc.date.available2024-09-25T03:31:46Z-
dc.date.issued2013-09-
dc.identifier.issn1061-4303-
dc.identifier.issn1554-7531-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/23667-
dc.description.abstractThis study examined the accuracy of an urban stormwater monitoring program in estimating the annual discharge load (L-T) and the annual reduction rate by a stormwater treatment device (R-T) for total suspended solids. A calibrated stormwater management model was used to generate the entire stormwater runoff events in one year and was used to estimate L-T and R-T under different monitoring strategies having limited numbers of runoff events, including random, wet season, antecedent dry days (ADD)-based, monthly, and seasonally weighted. For random monitoring, 12 storms were required to estimate the values of L-T and R-T with mean relative errors of 13.98 and 0.24%, respectively. Monthly monitoring had slightly greater mean relative errors compared to random monitoring. Wet season and ADD-based monitoring under-or overestimated both L-T and R-T. Monitoring with equal numbers of storms from the wet and dry seasons best estimated L-T and R-T.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherWATER ENVIRONMENT FEDERATION-
dc.titleAccuracy of a Stormwater Monitoring Program for Urban Landuses-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.2175/106143013X13736496908942-
dc.identifier.scopusid2-s2.0-84883376510-
dc.identifier.wosid000324136100006-
dc.identifier.bibliographicCitationWATER ENVIRONMENT RESEARCH, v.85, no.9, pp 815 - 822-
dc.citation.titleWATER ENVIRONMENT RESEARCH-
dc.citation.volume85-
dc.citation.number9-
dc.citation.startPage815-
dc.citation.endPage822-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalResearchAreaMarine & Freshwater Biology-
dc.relation.journalResearchAreaWater Resources-
dc.relation.journalWebOfScienceCategoryEngineering, Environmental-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryLimnology-
dc.relation.journalWebOfScienceCategoryWater Resources-
dc.subject.keywordPlusHIGHWAY RUNOFF-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusAREA-
dc.subject.keywordAuthorstormwater-
dc.subject.keywordAuthormonitoring-
dc.subject.keywordAuthorurban runoff-
dc.subject.keywordAuthorbest management practice-
dc.subject.keywordAuthorstormwater management model-
dc.subject.keywordAuthorMonte Carlo sampling-
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