作者: Songbing Zou , Hongwei Ruan , Zhixiang Lu , Dawen Yang , Zhe Xiong
DOI: 10.3390/W8100455
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摘要: In the distributed hydrological simulations for complex mountain areas, large amounts of meteorological input parameters with high spatial and temporal resolutions are necessary. However, extreme scarcity uneven distribution traditional observation stations in cold arid regions Northwest China makes it very difficult meeting requirements simulations. Alternatively, regional climate models (RCMs), which can provide a variety data resolution, have become an effective solution to improve simulation accuracy further study water resource responses human activities global change. this study, abundant evenly virtual weather upper reaches Heihe River Basin (HRB) were built optimization data, thus integrated environmental model system (RIEMS) based on RCM soil assessment tool (SWAT) as coupled climate–hydrological RIEMS-SWAT model, was applied simulate monthly runoff from 1995 2010 region. Results show that simulated observed values close; Nash–Sutcliffe efficiency is higher than 0.65; determination coefficient (R2) 0.70; percent bias controlled within ±20%; root-mean-square-error-observation standard deviation ratio less 0.65. These results indicate present basin processes properly, scientific support prediction management resources.