Title |
Evaluation of Runoff Prediction from a Coniferous Forest Watersheds and Runoff Estimation under Various Cover Degree Scenarios using GeoWEPP Watershed Model |
Authors |
최재완 ( Jae Wan Choi ) ; 신민환 ( Min Hwan Shin ) ; 천세억 ( Se Uk Cheon ) ; 신동석 ( Dong Seok Shin ) ; 이성준 ( Sung Jun Lee ) ; 문선정 ( Sun Jung Moon ) ; 류지철 ( Ji Cheol Ryu ) ; 임경재 ( Kyoung Jae Lim ) |
Keywords |
Cover degree; Forest; GeoWEPP; Runoff |
Abstract |
To control non-point source pollution at a watershed scale, rainfall-runoff characteristics from forest watersheds should be investigated since the forest is the dominant land use in Korea. Long-term monitoring would be an ideal method. However, computer models have been utilized due to limitations in cost and labor in performing long-term monitoring at the watersheds. In this study, the Geo-spatial interface to the Water Erosion Prediction Project (GeoWEPP) model was evaluated for its runoff prediction from a coniferous forest dominant watersheds. The R2 and the NSE for calibrated result comparisons were 0.77 and 0.63, validated result comparisons were 0.92, 0.89, respectively. These comparisons indicated that the GeoWEPP model can be used in evaluating rainfall-runoff characteristics. To estimate runoff changes from a coniferous forest watershed with various cover degree scenarios, ten cover degree scenarios (10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%) were run using the calibrated GeoWEPP model. It was found that runoff increases with decrease in cover degree. Runoff volume was the highest (206,218.66 m3) at 10% cover degree, whereas the lowest (134,074.58 m3) at 100% cover degree due to changes in evapotranspiration under various cover degrees at the forest. As shown in this study, GeoWEPP model could be efficiently used to investigate runoff characteristics from the coniferous forest watershed and effects of various cover degree scenarios on runoff generation. |