Cited 8 time in
Accuracy of a Stormwater Monitoring Program for Urban Landuses
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Madarang, Krish | - |
| dc.contributor.author | Kang, Joo-Hyon | - |
| dc.date.accessioned | 2024-09-25T03:31:46Z | - |
| dc.date.available | 2024-09-25T03:31:46Z | - |
| dc.date.issued | 2013-09 | - |
| dc.identifier.issn | 1061-4303 | - |
| dc.identifier.issn | 1554-7531 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/23667 | - |
| dc.description.abstract | This 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.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | WATER ENVIRONMENT FEDERATION | - |
| dc.title | Accuracy of a Stormwater Monitoring Program for Urban Landuses | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.2175/106143013X13736496908942 | - |
| dc.identifier.scopusid | 2-s2.0-84883376510 | - |
| dc.identifier.wosid | 000324136100006 | - |
| dc.identifier.bibliographicCitation | WATER ENVIRONMENT RESEARCH, v.85, no.9, pp 815 - 822 | - |
| dc.citation.title | WATER ENVIRONMENT RESEARCH | - |
| dc.citation.volume | 85 | - |
| dc.citation.number | 9 | - |
| dc.citation.startPage | 815 | - |
| dc.citation.endPage | 822 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
| dc.relation.journalResearchArea | Marine & Freshwater Biology | - |
| dc.relation.journalResearchArea | Water Resources | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Environmental | - |
| dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
| dc.relation.journalWebOfScienceCategory | Limnology | - |
| dc.relation.journalWebOfScienceCategory | Water Resources | - |
| dc.subject.keywordPlus | HIGHWAY RUNOFF | - |
| dc.subject.keywordPlus | DESIGN | - |
| dc.subject.keywordPlus | AREA | - |
| dc.subject.keywordAuthor | stormwater | - |
| dc.subject.keywordAuthor | monitoring | - |
| dc.subject.keywordAuthor | urban runoff | - |
| dc.subject.keywordAuthor | best management practice | - |
| dc.subject.keywordAuthor | stormwater management model | - |
| dc.subject.keywordAuthor | Monte Carlo sampling | - |
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