A Pragmatic Slope-Adjusted Curve Number Model to Reduce Uncertainty in Predicting Flood Runoff from Steep Watersheds
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ajmal, Muhammad | - |
dc.contributor.author | Waseem, Muhammad | - |
dc.contributor.author | Kim, Dongwook | - |
dc.contributor.author | Kim, Tae-Woong | - |
dc.date.accessioned | 2021-06-22T09:04:54Z | - |
dc.date.available | 2021-06-22T09:04:54Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1139 | - |
dc.description.abstract | The applicability of the curve number (CN) model to estimate runoff has been a conundrum for years, among other reasons, because it presumes an uncertain fixed initial abstraction coefficient (lambda = 0.2), and because choosing the most suitable watershed CN values is still debated across the globe. Furthermore, the model is widely applied beyond its originally intended purpose. Accordingly, there is a need for more case-specific adjustments of the CN values, especially in steep-slope watersheds with diverse natural environments. This study scrutinized the lambda and watershed slope factor effect in estimating runoff. Our proposed slope-adjusted CN (CNII alpha) model used data from 1779 rainstorm-runoff events from 39 watersheds on the Korean Peninsula (1402 for calibration and 377 for validation), with an average slope varying between 7.50% and 53.53%. To capture the agreement between the observed and estimated runoff, the original CN model and its seven variants were evaluated using the root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), percent bias (PB), and 1:1 plot. The overall lower RMSE, higher NSE, better PB values, and encouraging 1:1 plot demonstrated good agreement between the observed and estimated runoff by one of the proposed variants of the CN model. This plausible goodness-of-fit was possibly due to setting lambda = 0.01 instead of 0.2 or 0.05 and practically sound slope-adjusted CN values to our proposed modifications. For more realistic results, the effects of rainfall and other runoff-producing factors must be incorporated in CN value estimation to accurately reflect the watershed conditions. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | A Pragmatic Slope-Adjusted Curve Number Model to Reduce Uncertainty in Predicting Flood Runoff from Steep Watersheds | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/w12051469 | - |
dc.identifier.scopusid | 2-s2.0-85085858992 | - |
dc.identifier.wosid | 000555915200248 | - |
dc.identifier.bibliographicCitation | WATER, v.12, no.5 | - |
dc.citation.title | WATER | - |
dc.citation.volume | 12 | - |
dc.citation.number | 5 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Water Resources | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Water Resources | - |
dc.subject.keywordPlus | INITIAL ABSTRACTION RATIO | - |
dc.subject.keywordPlus | SCS-CN METHOD | - |
dc.subject.keywordPlus | LOESS PLATEAU | - |
dc.subject.keywordPlus | LAND-USE | - |
dc.subject.keywordPlus | RAINFALL | - |
dc.subject.keywordPlus | VERIFICATION | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | PARAMETER | - |
dc.subject.keywordAuthor | initial abstraction coefficient | - |
dc.subject.keywordAuthor | slope-adjusted curve number | - |
dc.subject.keywordAuthor | rainfall | - |
dc.subject.keywordAuthor | precise runoff | - |
dc.subject.keywordAuthor | model accuracy | - |
dc.identifier.url | https://www.mdpi.com/2073-4441/12/5/1469 | - |
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