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Chul-Gyum Kim, Jeongwoo Lee, Jeong Eun Lee and Hyeonjun Kim
This study examines the long-term climate predictability in the Seomjin River basin using statistical methods, and explores the effects of incorporating the duration of climate indices as predictors. A multiple linear regression model is employed, utiliz...
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Jeongwoo Lee, Chul-Gyum Kim, Jeong Eun Lee, Nam Won Kim and Hyeonjun Kim
This study develops a late spring-early summer rainfall forecasting model using an artificial neural network (ANN) for the Geum River Basin in South Korea. After identifying the lagged correlation between climate indices and the rainfall amount in May an...
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Jeong Eun Lee, Jun-Haeng Heo, Jeongwoo Lee and Nam Won Kim
The purpose of this study is to evaluate the impacts of the upstream Soyanggang and Chungju multi-purpose dams on the frequency of downstream floods in the Han River basin, South Korea. A continuous hydrological model, SWAT (Soil and Water Assessment Too...
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Ji Youn Sung, Jeongwoo Lee, Il-Moon Chung, Jun-Haeng Heo
Pág. 1 - 17
This study develops hourly water level forecasting models with lead-times of 1 to 3 h using an artificial neural network (ANN) for Anyangcheon stream, one of the major tributaries of the Han River, South Korea. To consider the backwater effect from this ...
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