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http://dx.doi.org/10.3741/JKWRA.2008.41.2.149

Application of SWAT for the Estimation of Soil Loss in the Daecheong Dam Basin  

Ye, Lyeong (Dept. of Envirn. Engrg. Chungbuk National University)
Yoon, Sung-Wan (Geum-River Environmental Research Laboratory)
Chung, Se-Woong (Dept. of Envirn. Engrg. Chungbuk National University)
Publication Information
Journal of Korea Water Resources Association / v.41, no.2, 2008 , pp. 149-162 More about this Journal
Abstract
The Soil and Water Assessment Tool (SWAT) developed by the USDA-Agricultural Research Service for the prediction of land management impact on water, sediment, and agricultural chemical yields in a large-scale basin was applied to Daecheong Reservoir basin to estimate the amount of soil losses from different land uses. The research outcomes provide important indications for reservoir managers and policy makers to search alternative watershed management practices for the mitigation of reservoir turbidity flow problems. After calibrations of key model parameters, SWAT showed fairly good performance by adequately simulating observed annual runoff components and replicating the monthly flow regimes in the basin. The specific soil losses from agricultural farm field, forest, urban area, and paddy field were 33.1, $2.3{\sim}5.4$ depending on the tree types, 1.0, and 0.1 tons/ha/yr, respectively in 2004. It was noticed that about 55.3% of the total annual soil loss is caused by agricultural activities although agricultural land occupies only 10% in the basin. Although the soil erosion assessment approach adopted in this study has some extent of uncertainties due to the lack of detailed information on crop types and management activities, the results at least imply that soil erosion control practices for the vulnerable agricultural farm lands can be one of the most effective alternatives to reduce the impact of turbidity flow in the river basin system.
Keywords
SWAT; Soil erosion; Reservoir turbidity; Land uses; MUSLE;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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