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首页> 外文期刊>Journal of hydro-environment research >Effects of climate change on peak runoff and flood levels in Qu River Basin, East China
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Effects of climate change on peak runoff and flood levels in Qu River Basin, East China

机译:气候变化对曲江流域洪峰径流量和洪水位的影响

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The impact of climate change on regional hydrological extreme events has been a research topic that has received much attention in recent years. This paper aims to provide a general overview of changes on future runoffs and water levels in the Qu River Basin, upper reaches of Qiantang River, East China by combining future climate scenarios, hydrological model and 1D hydraulic model. The LARS-WG (Long Ashton Research Station Weather Generator) statistical downscaling method is used to downscale the GCM (Global Climate Model) outputs (including BCC, BNU, CanESM and CSIRO under RCP4.5 and RCP8.5 scenarios) and generate 50 years of synthetic precipitation and maximum and minimum temperatures to drive the GR4J hydrological model and the 1D hydraulic model for the baseline period 1971-2000 and the future period 2021-2050. Finally, the POT (Peaks over Threshold) method is applied to analyze the change of extreme events in the study area. The results show that design runoffs and water levels all indicate an increasing trend in the future period for Changshangang River and Jiangshangang River at most cases, especially for small return periods, and for Qu River the increase becomes larger, which suggests that the risk of flooding will probably become greater and appropriate adaptation measures need to be taken.
机译:气候变化对区域水文极端事件的影响一直是近年来受到广泛关注的研究课题。本文旨在结合未来气候情景,水文模型和一维水力模型,对中国东部钱塘江上游曲河流域未来径流量和水位的变化进行总体概述。 LARS-WG(长阿什顿研究站天气生成器)统计缩减方法用于缩减GCM(全球气候模型)输出(在RCP4.5和RCP8.5方案下包括BCC,BNU,CanESM和CSIRO)并生成50年1971-2000年基准期和未来2021-2050年的合成降水量和最高和最低温度,以驱动GR4J水文模型和一维水力模型。最后,采用POT(阈值峰值)方法来分析研究区域中极端事件的变化。结果表明,在大多数情况下,设计径流量和水位都显示出未来一段时间内长山岗河和江山岗河的增加趋势,特别是在小回水期,而曲河的增加更大,这表明发生洪水的风险可能会变得更大,需要采取适当的适应措施。

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