Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김태웅 | - |
dc.date.accessioned | 2021-08-10T06:00:26Z | - |
dc.date.available | 2021-08-10T06:00:26Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.citation | WATER, v. 12, no. 5, Article no. 1469, 15pp | en_US |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.uri | https://www.mdpi.com/2073-4441/12/5/1469 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/163460 | - |
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. | en_US |
dc.description.sponsorship | This research was supported by a grant (2020-MOIS33-006) from the Lower-level and Core Disaster-Safety Technology Development Program funded by the Ministry of Interior and Safety (MOIS, Korea). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI AG | en_US |
dc.subject | initial abstraction coefficient | en_US |
dc.subject | slope-adjusted curve number | en_US |
dc.subject | rainfall | en_US |
dc.subject | precise runoff | en_US |
dc.subject | model accuracy | en_US |
dc.title | A Pragmatic Slope-Adjusted Curve Number Model to Reduce Uncertainty in Predicting Flood Runoff from Steep Watersheds | en_US |
dc.type | Article | en_US |
dc.relation.no | 5 | - |
dc.relation.volume | 12 | - |
dc.identifier.doi | 10.3390/w12051469 | - |
dc.relation.page | 1-15 | - |
dc.relation.journal | WATER | - |
dc.contributor.googleauthor | Ajmal, M. | - |
dc.contributor.googleauthor | Waseem, M. | - |
dc.contributor.googleauthor | Kim, D. | - |
dc.contributor.googleauthor | Kim, T.-W. | - |
dc.relation.code | 2020052449 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | twkim72 | - |
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