【摘要】 分布式水文模型是模拟地表径流、研究流域水循环的有效手段,以淮河流域为研究对象,利用数字高程DEM(digital elevation model)、全球植被覆盖数据、土壤结构资料等构建气象数据驱动下的分布式陆面-水文模型,根据1980-1982年淮河流域水文站实测数据进行模型参数率定,采用相对误差、确定性系数和Nash效率系数作为衡量指标来验证模型的模拟精度,并对比淮河流域主要水文站实测逐日径流量与模拟值,分析该模型对洪水流量的模拟效果.研究结果表明,该分布式陆面-水文模型具有较高的模拟精度,能较好地模拟流域水文过程,可用于变化环境下的水循环过程模拟和流域水文响应研究.更多还原

【Abstract】 The distributed hydrological model is an efficient way for hydrological cycle and surface runoff in catchments.Taking the Huaihe Basin for example,the distributed land surface-hydrological model forced by atmospheric dataset is built with digital elevation model(DEM),global vegetation data,soil structure information,etc.After parameter calibration based on the observation of 1980-1982,relative error,certainty coefficient and Nash coefficient are selected as indices to evaluate the simulation accuracy;and the comparison between daily streamflow measured in Bengbu station and the simulation is carried out to determine the model precision for flood.The results elaborate that this land surface-hydrological model is capable of simulating hydrological processes in a river basin with high accuracy and available to research the drainage basin hydrological cycle and hydrological response to the changing environment.更多还原