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Jiho Lee, Soojun Kim and Hwandon Jun
Estimating the AAR (Areal Average Rainfall) is an essential process when determining the accurate amount of available water resources and building the input data which is integral to the Rainfall-Runoff Analysis. To estimate the AAR, using rain gauge net...
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Narae Kang, Soojun Kim, Yonsoo Kim, Huiseong Noh, Seung Jin Hong and Hung Soo Kim
Recently, urban areas have experienced frequent, large-scale flooding, a situation that has been aggravated by climate change. This study aims to improve the urban drainage system to facilitate climate change adaptation. A methodology and a series of mit...
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Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay P. Singh, Jungsool Park and Hung Soo Kim
Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871....
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Soojun Kim, Huiseong Noh, Jaewon Jung, Hwandon Jun, Hung Soo Kim
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The impacts of two factors on future regional-scale runoff were assessed: the external factor of climate change and the internal factor of a recently completed large-scale water resources project. A rainfall-runoff model was built (using the Soil and Wat...
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Soojun Kim, Yonsoo Kim, Narae Kang and Hung Soo Kim
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Younghun Jung, Venkatesh Merwade, Soojun Kim, Narae Kang, Yonsoo Kim, Keonhaeng Lee, Gilho Kim and Hung Soo Kim
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