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《Acta Geographica Sinica》 2002-06
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Digital Rainfall-Runoff Model Based on DEM:The Application to Xiaolangdi-Huayuankou Section of the Yellow River Basin

WU Xianfeng1, WANG Zhonggen2, LIU Changming1,2, LIU Xiaowei3(1. Institute of Environmental Science, Beijing Normal University, Beijing 100875, China;2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;3. The Bureau of Hydrology, YRCC, Zhengzhou 450003, China)  
DEM is the main data source which is used in watershed analysis. There are many mature algorithms in watershed analysis and they can be used to delineate the drainage networks. Applications of the methods based on DEM make significant innovation in hydrological simulations. Topographic parameters which are used in hydrological models can be automatically calculated from DEM. The article introduces the main process to determine watershed geometry, drainage network and other map-type information for hydrological models. Lushi basin, located in the upper Luohe river which is a tributary of the middle Yellow River, was selected as the study region with an area of 4,623 km2. WMS6.1, a GIS hydrological tool, which is introduced to China recently, was used to develop the digital rainfall-runoff model, and other GIS tools such as ARC/Info, Arcview were also used to deal with the data. The drainage network was derived from 1:250,000 DEM, and the region was divided into seven sub-basins. HEC-1 model, a part of hydrological models in WMS, was selected to simulate the rainfall-runoff process. Curve Numbers (CNs) and other parameters were automatically calculated to input to models directly. Five historical flood events were simulated. The results demonstrate that the method was more efficient than trade method. Although it is very easy and quick to input and output data for the models, it does not mean that the hydrological model itself has high quality, so it is necessary to develop hydrological models which can be adapted to the region.
【Fund】: 国家重点基础研究发展规划项目(19990436-01)~~
【CateGory Index】: P333
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