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Miru Seo, Sunghun Kim, Heechul Kim, Hanbeen Kim, Ju-Young Shin and Jun-Haeng Heo
Extreme rainfall and floods have increased in frequency and severity in recent years, due to climate change and urbanization. Consequently, interest in estimating the probable maximum precipitation (PMP) has been burgeoning. The World Meteorological Orga...
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Hanbeen Kim, Taereem Kim, Ju-Young Shin and Jun-Haeng Heo
Extreme value modeling for extreme rainfall is one of the most important processes in the field of hydrology. For the improvement of extreme value modeling and its physical meaning, large-scale climate modes have been widely used as covariates of distrib...
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Kyungwon Joo, Ju-Young Shin and Jun-Haeng Heo
For multivariate frequency analysis of hydrometeorological data, the copula model is commonly used to construct joint probability distribution due to its flexibility and simplicity. The Maximum Pseudo-Likelihood (MPL) method is one of the most widely use...
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Taereem Kim, Ju-Young Shin, Hanbeen Kim, Sunghun Kim and Jun-Haeng Heo
Climate variability is strongly influencing hydrological processes under complex weather conditions, and it should be considered to forecast reservoir inflow for efficient dam operation strategies. Large-scale climate indices can provide potential inform...
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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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Younghun Jung, Ju-Young Shin, Hyunjun Ahn and Jun-Haeng Heo
The spatial and temporal structures of extreme rainfall trends in South Korea are investigated in the current study. The trends in the annual maximum rainfall series are detected and their spatial distribution is analyzed. The scaling exponent is employe...
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Ji Youn Sung, Jeongwoo Lee, Il-Moon Chung, Jun-Haeng Heo
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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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Jeonghwan Ahn, Woncheol Cho, Taereem Kim, Hongjoon Shin and Jun-Haeng Heo
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