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Byung Sik Kim Hung Soo Kim Byung Ha Seoh Nam Won Kim 《Stochastic Environmental Research and Risk Assessment (SERRA)》2007,21(4):457-373
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 2CO2. This approach is applied to the Yongdam dam basin in the southern part of Korea. The results show that under the condition
of 2CO2, 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
An erratum to this article can be found at 相似文献
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气候变化情景生成技术研究综述 总被引:8,自引:0,他引:8
简单回顾了气候变化对农业生产影响研究的进展,分析了气候变化情景生成技术研究的必要性,即影响模式与GCMs的嵌套困难及对气候变率和产量变率的认识。指出该技术是目前这一领域研究的关键所在。 相似文献
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