年尺度下的黄河流域降水遥感反演

RETRIEVAL OF ANNUAL PRECIPITATION IN YELLOW RIVER BY RS

降水是流域水循环系统的基本输入,传统水文方法中获取面上降水都是通过点雨量扩展获取,因此对于雨量站点的密度有较高要求。该文应用国际先进遥感技术,根据不同云层和点雨量间的回归关系,建立面雨量计算模型。由于综合了地表雨量站点和空中云层信息,因此反演具有明确的物理机制。并以GMS影像为信息源,对2000年黄河流域雨量进行遥感反演,从各二级流域校验结果来看,其反演精度整体达到90%。可以看出,遥感技术为无资料地区的面雨量资料的获取提供了便利途径。

The precipitation is one of the basic inputs of basin hydrological cycle system and plane precipitation is obtained by means of extending the point precipitation in the traditional hydrological method. Accordingly, it is presented high demand for the density of precipitation stations. By international superior remote sensing (RS) technology, the plane precipitation model is presented according to the regression relationship of cloud and point precipitation. The plane precipitation in Yellow River is retrieved from GMS image in 2000 by RS technology. It has clear physical mechanism because it combines the information of ground precipitation observation station and aerial rain cloud in the process of directional retrieval. It is indicated from the verified result that the precision achieved 90% in the mass for the subvalley. It can be concluded that the RS technology supplies an advantage approach for acquiring area precipitation data in the unpaged basin.