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    Engineering Procedure for the Climate Change Flood Risk Assessment in the Upper Thames River Basin 

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 007
    Author(s): Hyung-Il Eum; Dragan Sredojevic; Slobodan P. Simonovic
    Publisher: American Society of Civil Engineers
    Abstract: Climate change will bring more severe and frequent floods to the Upper Thames River basin. The city of London, with a population of over 350,000, is one of the most vulnerable locations in the basin. This paper presents ...
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    Climate Change Impact Assessment Using K-Nearest Neighbor Weather Generator: Case Study of the Nakdong River Basin in Korea 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 010
    Author(s): Hyung-Il Eum; Slobodan P. Simonovic; Young-Oh Kim
    Publisher: American Society of Civil Engineers
    Abstract: This study presents a methodology for assessing impacts of climate change in regional-scale hydrology using the K-nearest neighbor weather generator (WG) model in combination with the outputs of global circulation models ...
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    Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule 

    Source: Journal of Water Resources Planning and Management:;2011:;Volume ( 137 ):;issue: 001
    Author(s): Hyung-Il Eum; Young-Oh Kim; Richard N. Palmer
    Publisher: American Society of Civil Engineers
    Abstract: This study develops procedures that calculate optimal water release curtailments during droughts using a future value function derived with a sampling stochastic dynamic programming model. Triggers that switch between a ...
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    Optimizing Operational Policies of a Korean Multireservoir System Using Sampling Stochastic Dynamic Programming with Ensemble Streamflow Prediction 

    Source: Journal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 001
    Author(s): Young-Oh Kim; Hyung-Il Eum; Eun-Goo Lee; Ick Hwan Ko
    Publisher: American Society of Civil Engineers
    Abstract: This study presents state-of-the-art optimization techniques for enhancing reservoir operations which use sampling stochastic dynamic programming (SSDP) with ensemble streamflow prediction (ESP). SSDP used with historical ...
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