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Development of Coupled SWAT-SWMM to Evaluate Effects of LID on Flow Reduction in Complex Landuse  

Woo, Won Hee (Department of Regional Infrastructure Engineering, Kangwon National University)
Ryu, Jichul (National Institute of Environmental Research Water Pollution Load Management Research Devision)
Moon, Jong Pill (National Academy of Agricultural Science)
Jang, Chun Hwa (Department of Regional Infrastructure Engineering, Kangwon National University)
Kum, Donghyuk (Department of Regional Infrastructure Engineering, Kangwon National University)
Kang, Hyunwoo (Department of Regional Infrastructure Engineering, Kangwon National University)
Kim, Ki-Sung (Department of Regional Infrastructure Engineering, Kangwon National University)
Lim, Kyoung Jae (Department of Regional Infrastructure Engineering, Kangwon National University)
Publication Information
Journal of Korean Society on Water Environment / v.28, no.4, 2012 , pp. 495-504 More about this Journal
Abstract
In recent years, urbanization has been a hot issues in watershed management due to increased pollutant loads from impervious urban areas. The Soil and Water Assessment Tool (SWAT) model has been widely used in hydrology and water quality studies at watershed scale. However, the SWAT has limitations in simulating water flows between HRUs and hydrological effects of LID practices. The Storm Water Management Model (SWMM) has LID capabilities, but it does not simulate non-urban areas, especially agricultural areas. In this study, a SWAT-SWMM coupled model was developed to evaluate effects of LID practices on hydrology and water quality at mixed-landuse watersheds. This coupled SWAT-SWMM was evaluated by comparing calibrated flow with and without coupled SWAT-SWMM. As a result of this study, the $R^2$ and NSE values with SWAT are 0.951 and 0.937 for calibration period, and 0.882 and 0.875 for validation period, respectively. the $R^2$ and NSE values with SWAT-SWMM are 0.877 and 0.880 for validation period. Out of four LID scenarios simulated by SWAT-SWMM model, the green roof scenario was found to be most effective which reduces about 25% of rainfall-runoff flows.
Keywords
Low Impact Development (LID); SWAT; SWAT-SWMM; SWMM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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