摘要
从DEM数据中自动提取流域数字河网结构是分布式水文模型研究的基础。由于DEM数据中存在误差数据,这些误差数据的存在会影响面状水体提取的准确度。文章详细论述了基于多流向算法的面妆水体提取过程中面状水体与伪洼地的识别、多流向算法、集水面积计算、面状水体提取等关键技术,文章提出的面状水体提取方法可为进一步开发分布式水文模型提供技术基础。
Extracting drainage network from DEM(Digital Elevation Model) plays an important role in distributed hydrological model. In this paper, the key technologies of DEM data processing, multiple flow direction algorithms, catchment area computing and surfacewater extraction were discussed in detail. Then, the surface-water auto-extraction software was designed and implemented. As the results, the method is a kind of relatively reasonable extraction method of drainage network.
引文
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