大尺度分布式水文模型VIC在嘉陵江流域径流模拟中的应用

大尺度分布式流域水文模型是目前评价流域环境变化的重要工具,以嘉陵江流域为研究对象,构建了嘉陵江流域大尺度分布式VIC模型(Variable Infiltration Capacity,VIC model),利用Maryland大学的全球1 km×1 km土地覆盖数据,同时参考LDAS(Land Data Assimilation System)成果,建立了嘉陵江流域VIC模型的参数库,通过4个水文站以上流域的水文模拟试验,结果表明建立的VIC模型能有效地模拟嘉陵江流域各典型站的日、月径流过程,模拟的水量平衡误差在5%以内,日径流过程模拟的确定性系数均在70%以上,月径流过程模拟的确定性系数超过90%。该模型可以用来分析环境变化对嘉陵江流域水资源及洪水过程的影响。

Application of large scale distribated hydrological model to runoff simulation in Jialingjiang River Basin

Large scale distributed hydrological model has currently been an important tool to assess environmental change.Taking Jialingjiang River catchment as a case,the paper established the grid-based VIC model,used the land surface data derived by University of Maryland,constructed the parameter dataset of VIC model as well through referencing results from LDAS.Simulation results of four hydrometric stations in Jianglingjiang River catchment indicated that the VIC model can effectively simulate the daily or monthly runoff procedure,water balance errors between simulated and recorded runoffs for four hydrometric station are less than 5% while Nash-Sutcliffe coefficients of daily and monthly discharge simulation are both beyond 70% and 90% respectively.The established VIC model can be used to assess impact of climate change on water resources and flood process in Jialingjiang River catchment.