Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김태웅 | - |
dc.date.accessioned | 2018-04-09T07:53:32Z | - |
dc.date.available | 2018-04-09T07:53:32Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.citation | JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, v. 11, Page. 1-15 | en_US |
dc.identifier.issn | 1570-6443 | - |
dc.identifier.issn | 1876-4444 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1570644316000034 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/65497 | - |
dc.description.abstract | Numerous hydrological models with various complexities, strengths, and weaknesses are available. Despite technological development, the association of runoff accuracy with the underlying model's parameters in watersheds with limited data remains elusive. Evaluating the soil moisture impacts at the watershed scale is often a difficult task, but it can be vital to optimally managing water resources. Incorporating pre-storm soil moisture accounting (PSMA) procedures into hydrologic models affects the watershed response to generate runoff from storm rainfall. This study demonstrated the impact of pre-storm and post-storm soil moisture in order to circumvent major obstacles in accurate runoff estimation from watersheds employing the conventional curve number (CN) model. The proposed hydrological lumped model was tested on a data set (1,804 rainfall-runoff events) from 39 watersheds in South Korea. Its superior performance indicates that the reconciliation of pre- and post-storm conceptualization has the potential to be a solution for efficient hydrological predictions and to demonstrate the complex and dynamic nature of tractable hydrological processes. The statistically significant results reveal that the proposed model can more effectively predict runoff from watersheds in the study area than the conventional CN model and its previously proposed modifications. (C) 2016 International Association for Hydro-environment Engineering and Research, Asia Pacific Division. Published by Elsevier B.V. All rights reserved. | en_US |
dc.description.sponsorship | This research was supported by grant 'Methodology Development for the Estimation and Prediction of Direct and Indirect Damage/Losses from Flood and Wind Disasters' (MPSS-NH-2015-79) from the Natural Hazard Mitigation Research Group, Ministry of Public Safety and Security of Korea. Special thanks to the Hydrological Survey Center (HSC) of Korea for providing the measured streamfiow data, which was supported by a grant from the Construction Technology Innovation Program (11CTIPC06) of the Korean government (Ministry of Land, Infrastructure, and Transport). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ELSEVIER SCIENCE BV | en_US |
dc.subject | Pre-storm soil moisture | en_US |
dc.subject | Runoff prediction | en_US |
dc.subject | Storm rainfall | en_US |
dc.subject | Watershed abstraction | en_US |
dc.title | Potential implications of pre-storm soil moisture on hydrological prediction | en_US |
dc.type | Article | en_US |
dc.relation.volume | 11 | - |
dc.identifier.doi | 10.1016/j.jher.2015.11.004 | - |
dc.relation.page | 1-15 | - |
dc.relation.journal | JOURNAL OF HYDRO-ENVIRONMENT RESEARCH | - |
dc.contributor.googleauthor | Ajmal, Muhammad | - |
dc.contributor.googleauthor | Waseem, Muhammad | - |
dc.contributor.googleauthor | Kim, Hung Soo | - |
dc.contributor.googleauthor | Kim, Tae-Woong | - |
dc.relation.code | 2016006125 | - |
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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