期刊
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
卷 21, 期 4, 页码 355-373出版社
SPRINGER
DOI: 10.1007/s00477-006-0070-5
关键词
climate change; GCM; statistical downscaling; WGEN; SLURP; water resource
The main purpose of this study is to investigate and evaluate the impact of climate change on the runoff and water resources of Yongdam basin, Korea. First, we construct global climate change scenarios using the YONU GCM control run and transient experiments, then transform the YONU GCM grid-box predictions with coarse resolution of climate change into the site-specific values by statistical downscaling techniques. The downscaled values are used to modify the parameters of a stochastic weather generator model for the simulation of the site-specific daily weather time series. The weather series is fed into a semi-distributed hydrological model called SLURP to simulate the streamflows associated with other water resources for the condition of 2CO(2). This approach is applied to the Yongdam dam basin in the southern part of Korea. The results show that under the condition of 2CO(2), about 7.6% of annual mean streamflow is reduced when it is compared with the current condition. Seasonal streamflows in the winter and autumn are increased, while streamflow in the summer is decreased. However, the seasonality of the simulated series is similar to the observed pattern
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