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Impact of Climate Change on the Streamflow in Headwater of the Yellow River Basin

机译:气候变化对黄河流域上游水流的影响

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摘要

A coupled system integrating GCM's output data, downscaling model and distributed hydrologic model is proposed in this study. First, the Statistical DownScaling (SDS) model for the simulation of historic climate (1961 - 1990) and three future scenarios (2020s, 2050s and 2080s) are calibrated and applied. Then the distributed hydrologic model, Soil and Water Analysis Tool (SWAT), is applied to simulate the streamflow for headwater of the Yellow River basin. Finally, the coupled system is applied to investigate the hydrologic response to climate change in the study area. The results show: (a) The SDS model is successful in reproducing the main features of the observed hydrometeorology from the baseline climate simulation, when it is used to the HadCM3 GCM output; (b) The monthly flow simulated by SWAT corresponds very well with the measured ones, and the model can capture the seasonal tendency satisfactorily; ( c ) The hydrologic processes in the study area are very sensitive to future climate changes in the future.
机译:提出了一种结合GCM输出数据,降尺度模型和分布式水文模型的耦合系统。首先,校准并应用了模拟降尺度(SDS)模型来模拟历史气候(1961-1990)和三个未来情景(2020s,2050s和2080s)。然后,采用分布式水文模型土壤和水分析工具(SWAT)来模拟黄河流域的源头水流。最后,将耦合系统应用于研究区域对气候变化的水文响应。结果表明:(a)当用于HadCM3 GCM输出时,SDS模型成功地从基准气候模拟中再现了观测水文气象学的主要特征; (b)SWAT模拟的月流量与实测值非常吻合,该模型可以令人满意地捕获季节趋势; (c)研究区的水文过程对未来未来的气候变化非常敏感。

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