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Donghyuk Kum, Jichul Ryu, Yongchul Shin, Jihong Jeon, Jeongho Han, Kyoung Jae Lim and Jonggun Kim
This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or...
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Seoro Lee, Jonggun Kim, Joo Hyun Bae, Gwanjae Lee, Dongseok Yang, Jiyeong Hong and Kyoung Jae Lim
Accurate prediction of dam inflows is essential for effective water resource management and dam operation. In this study, we developed a multi-inflow prediction ensemble (MPE) model for dam inflow prediction using auto-sklearn (AS). The MPE model is desi...
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Jichul Ryu, Won Seok Jang, Jonggun Kim, Younghun Jung, Bernard A. Engel, Kyoung Jae Lim
Pág. 1 - 17
The Long Term Hydrologic Impact Assessment (L-THIA) model was previously improved by incorporating direct runoff lag time and baseflow. However, the improved model, called the L-THIA asymptotic curve number (ACN) model cannot simulate pollutant loads fro...
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Jichul Ryu, Won Seok Jang, Jonggun Kim, Joong Dae Choi, Bernard A. Engel, Jae E. Yang and Kyoung Jae Lim
In this study, 52 asymptotic Curve Number (CN) regression equations were developed for combinations of representative land covers and hydrologic soil groups. In addition, to overcome the limitations of the original Long-term Hydrologic Impact Assessment ...
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Jichul Ryu, Won Seok Jang, Jonggun Kim, Joong Dae Choi, Bernard A. Engel, Jae E. Yang and Kyoung Jae Lim
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Won Seok Jang, Jonggun Kim, Bernard A. Engel, Sung Won Kang, Youngkon Park, Heetaek Yoon, Kyoung Jae Lim, Younghun Jung and Yongchul Shin
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