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Impact of climate change on water resources in Yongdam Dam Basin, Korea

机译:气候变化对韩国龙头潭流域水资源的影响

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摘要

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.
机译:这项研究的主要目的是调查和评估气候变化对韩国龙潭盆地径流和水资源的影响。首先,我们使用YONU GCM控制运行和瞬态实验构建全球气候变化情景,然后通过统计缩减技术将具有粗略分辨率的气候变化的YONU GCM网格箱预测转换为特定地点的值。缩减的值用于修改随机天气生成器模型的参数,以模拟特定于站点的每日天气时间序列。将天气序列输入到称为SLURP的半分布式水文模型中,以模拟2CO_2条件下与其他水资源相关的水流。这种方法适用于韩国南部的龙潭大坝盆地。结果表明,与当前条件相比,在2CO_2条件下,年平均流量减少了约7.6%。冬季和秋季的季节性流量增加,而夏季的流量减少。但是,模拟序列的季节性类似于观察到的模式。

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