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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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Sanghyun Park, Hyeonjun Kim, Choelhee Jang and Deokhwan Kim
Agricultural water demands are mainly dependent on the supply from groundwater withdrawals and the supply from agricultural reservoirs. To understand the water cycle of the agricultural catchment, it is necessary to consider the actual situation of the w...
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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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