基于卫星降水融合产品的黄河源区汛期径流模拟
发布时间：2018-07-21 19:05
【摘要】：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.
[Abstract]:The annual average runoff in the source area of the Yellow River (above Tangnahe Hydrological Station) is about 200 脳 108 m3, accounting for 34% of the natural runoff of the Yellow River. It is the main runoff producing area and the important water conservation area in the Yellow River Basin. The change of historical flood season runoff in the source area of the Yellow River has been a hot spot in academic circles. The purpose of this paper is to improve the accuracy of runoff simulation in the historical flood season of the source area of the Yellow River. Firstly, the multi-source precipitation data in the source region of the Yellow River are compared. Compared with the surface rainfall station data and the CMORPH precipitation data, the CMORPH precipitation data have high resolution and reliable accuracy in the source region of the Yellow River. Secondly, a large scale and high resolution digital watershed model suitable for the source region of the Yellow River is integrated, and the runoff simulation of flood season in the source area of the Yellow River is completed by using the combined precipitation data. The flood season from 2008 to 2012 is divided into two years: rate dating and verification. The results of runoff simulation show that the Nash-Sutcliffe efficiency coefficient of daily runoff is higher and the runoff in flood season is in good agreement with each other, which proves the applicability of the digital watershed model in the source area of the Yellow River. It is beneficial to the further evaluation and management of the distribution of water resources in the source area of the Yellow River.
【作者单位】： 清华大学水沙科学与水利水电工程国家重点实验室;青海大学水利电力学院;三江源协同创新中心;
【基金】：国家自然科学基金(51459003) 水利部公益性行业科研专项经费项目(201501028) 国家电网公司项目(52283014000T)
【分类号】：P333
[Abstract]:The annual average runoff in the source area of the Yellow River (above Tangnahe Hydrological Station) is about 200 脳 108 m3, accounting for 34% of the natural runoff of the Yellow River. It is the main runoff producing area and the important water conservation area in the Yellow River Basin. The change of historical flood season runoff in the source area of the Yellow River has been a hot spot in academic circles. The purpose of this paper is to improve the accuracy of runoff simulation in the historical flood season of the source area of the Yellow River. Firstly, the multi-source precipitation data in the source region of the Yellow River are compared. Compared with the surface rainfall station data and the CMORPH precipitation data, the CMORPH precipitation data have high resolution and reliable accuracy in the source region of the Yellow River. Secondly, a large scale and high resolution digital watershed model suitable for the source region of the Yellow River is integrated, and the runoff simulation of flood season in the source area of the Yellow River is completed by using the combined precipitation data. The flood season from 2008 to 2012 is divided into two years: rate dating and verification. The results of runoff simulation show that the Nash-Sutcliffe efficiency coefficient of daily runoff is higher and the runoff in flood season is in good agreement with each other, which proves the applicability of the digital watershed model in the source area of the Yellow River. It is beneficial to the further evaluation and management of the distribution of water resources in the source area of the Yellow River.
【作者单位】： 清华大学水沙科学与水利水电工程国家重点实验室;青海大学水利电力学院;三江源协同创新中心;
【基金】：国家自然科学基金(51459003) 水利部公益性行业科研专项经费项目(201501028) 国家电网公司项目(52283014000T)
【分类号】：P333
【参考文献】
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