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http://dx.doi.org/10.12652/Ksce.2011.31.5B.439

Adaptation Capability of Reservoirs Considering Climate Change in the Han River Basin, South Korea  

Chung, Gunhui (한국건설기술연구원)
Jeon, Myeonho (한양대학교 대학원 건설환경공학과)
Kim, Hungsoo (인하대학교 사회기반시스템공학부)
Kim, Tae-Woong (한양대학교 건설환경공학과)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.5B, 2011 , pp. 439-447 More about this Journal
Abstract
It is a main concern for sustainable development in water resources management to evaluate adaptation capability of water resources structures under the future climate conditions. This study introduced the Fuzzy Inference System (FIS) to represent the change of release and storage of reservoirs in the Han River basin corresponding to various inflows. Defining the adaptation capability of reservoirs as the change of maximum and/or minimum of storage corresponding to the change of inflow, the study showed that Gangdong Dam has the worst adaptation capability on the variation of inflow, while Soyanggang Dam has the best capability. This study also constructed an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the more accurate and efficient simulation of the adaptation capability of the Soyanggang Dam. Nine Inflow scenarios were generated using historical data from frequency analysis and synthetic data from two general circulation models with different climate change scenarios. The ANFIS showed significantly different consequences of the release and reservoir storage upon inflow scenarios of Soyanggang Dam, whilst it provides stable reservoir operations despite the variability of rainfall pattern.
Keywords
climate change; adaptation capability; han-river basin; adaptive neuro-fuzzy inference system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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