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黄河源区(唐乃亥水文站以上)多年平均径流量约200×108m3,占黄河天然径流量的34%,是黄河流域的主要产流区和重要的水源涵养区.黄河源区历史汛期径流的变化一直是学界关注热点.本文以数字流域模型研究对象,旨在提高黄河源区历史汛期径流模拟结果精度.首先对比评价了黄河源区多源降水数据,相比于地面雨量站数据和CMORPH降水数据,CMORPH地面融合降水数据在黄河源区分辨率较高,精度可靠.其次集成了适用于黄河源区的大尺度、高分辨率的数字流域模型,利用融合降水数据,完成了黄河源区汛期径流的模拟.将2008~2012年汛期划分为率定年和验证年,径流模拟结果显示,率定和验证期逐日径流过程的Nash-Sutcliffe效率系数较高,汛期径流量符合良好,证明了数字流域模型在黄河源区的适用性,有利于黄河源区水资源分布进一步的评估和管理.
The annual average runoff in the Yellow River source area (Tangnaihai hydrological station) is about 200 × 108m3, accounting for 34% of the natural runoff of the Yellow River, and is the main streamflow area and important water conservation area in the Yellow River Basin. Has always been a hot topic in academic circles.This paper aims to improve the precision of historical flood season simulation results in the source region of the Yellow River by comparing with the data of ground rainfall stations and the CMORPH precipitation data , The CMORPH surface fusion precipitation data have high resolution and reliable accuracy in the source region of the Yellow River.Secondly, a large-scale and high-resolution digital basin model that is suitable for the source region of the Yellow River is integrated and flood season runoff in the source region of the Yellow River The simulation results show that the Nash-Sutcliffe efficiency coefficient of daily runoff during the calibration and verification periods is high, and the runoff in flood season is in good agreement, which proves that the digital watershed model The applicability in the source areas of the Yellow River is conducive to the further assessment and management of the distribution of water resources in the source areas of the Yellow River.