遥感驱动的分布式实际径流模拟研究

发布时间：2018-06-01 22:32

本文选题：遥感 + 降水　；参考：《南水北调与水利科技》2016年03期

【摘要】：以WBM/WTM(Water balance model/Water transport model)模型为基础,以遥感反演的月降水和月蒸发为主要数据源,开发了基于遥感的分布式水量平衡与传输模型(Remote sensing based Water balance/Water transport model,RSWB/WTM)。利用2002年-2007年的TRMM卫星的降水数据与2004年-2008年基于遥感反演的蒸散发数据,用该模型模拟了白洋淀流域阜平、中唐梅、紫荆关三个水文站的实际径流,对模型的模拟精度进行了评价。三个站的效率系数均大于0.54,其中中唐梅和紫荆关站的效率系数大于0.62。从R2来看,三个站分别是0.56、0.64和0.64。白洋淀流域水库、塘坝对实际径流的干扰较大,进而影响到了模型的模拟精度。另外,遥感反演降水与蒸发存在的不确定性也是影响模拟效率的原因之一。建立的完全以遥感为数据源的分布式水文模拟模型将为基于遥感的水资源评价提供新的技术手段。
[Abstract]:Based on the WBM/WTM(Water balance model/Water transport model and the monthly precipitation and evaporation retrieved by remote sensing as the main data sources, a remote sensing based Water balance/Water transport model based on remote sensing is developed. Based on the precipitation data of TRMM satellite from 2002 to 2007 and the evapotranspiration data from 2004 to 2008 based on remote sensing inversion, the actual runoff of three hydrologic stations in Baiyangdian basin, Fuping, Zhongtang Mei and Zijingguan, is simulated by the model. The simulation accuracy of the model is evaluated. The efficiency coefficient of the three stations is greater than 0.54, and the efficiency coefficient of Tangmei and Zijingguan stations is greater than 0.62. In terms of R2, the three stations are 0.56 and 0.64, respectively. The dam of Baiyangdian basin has a great disturbance to the actual runoff, which affects the simulation accuracy of the model. In addition, the uncertainty of precipitation and evaporation from remote sensing is also one of the reasons that affect the efficiency of simulation. The distributed hydrological simulation model based on remote sensing will provide a new technique for water resources evaluation based on remote sensing.
【作者单位】：中国科学院地理科学与资源研究所;中国科学院陆地水循环及地表过程重点实验室;
【分类号】：TP79

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