基于遥感信息的新安江模型参数率定方法

Research on parameter calibration method of Xinanjiang model based on remote sensing information

基于新安江模型参数的物理意义,研究了根据遥感信息提取的流域下垫面特征值来推求模型部分参数的方法.利用DEM(Digital Elevation Model)与土壤、植被、土地利用等遥感影像间接推算流域的蓄水容量;针对小流域的特点,基于土地覆被数据和Landsat水体数据叠置分析直接提取流域的不透水面积比.应用基于遥感信息的模型参数率定方法对高关水库流域的洪水过程进行了模拟.模拟结果表明,将推求出的模型参数进行流域水文模拟能取得较好的效果,从而为无资料或缺资料地区的参数率定提供了一种可行的方法.

Based on the physical significance of the parameters for Xinanjiang model, partial parameters of the model are ascertained according to the characteristics of the watershed surface, which is extracted from the remote sensing information. Using digital elevation model （DEM） with remote sensing image like soil, vegetation, land use, the basin moisture storage capacity have been calculated indirectly, and based on superimposed analysis of the land cover data with Landsat water data, the impervious area ratio has been di rectly extracted in light of the small watershed. Taking the Gaoguan Reservoir for a typical basin, with the parameter rating method based on remote sensing information, flood process of the watershed is simulated. The results show that with the calculated parameters the watershed hydrological simulation performs well, so as to provide a feasible method of parameters calibration in ungauged basins.