基于DEM不同路径算法的沟壑密度提取  

Extracting Gully Density from Different Path Algorithms Based on DEM

作　　者：郭兰勤[1] 丑述仁[2] 

机构地区：[1]西北农林科技大学资源环境学院,陕西杨凌712100 [2]西北大学城市与环境学院,陕西西安710127

出　　处：《地下水》2011年第6期145-147,共3页Ground water

摘　　要：沟壑密度是评价小流域沟蚀程度的重要指标,同时也是反映地表破碎程度的因子。采用合理的汇流阈值设置方法,在黄土高原县南沟流域,通过基于坡向流量分配的多流向算法(DEMON)和传统的单流向算法D8实现沟壑密度的提取。结果表明:多流向算法和单流向算法都能提取较合适的沟壑密度,其中多流向算法提取的结果更好一些。因此,本研究对地表破碎程度的描述和当地地形地貌的反映有重要的意义。Gully density,an important indicator to estimate extent of gully erosion in a minor watershed,is also a factor to reflect the degree of land surface fragmentation.In this paper,a reasonable method to set gully threshold was utilized in Xiannangou watershed of the Loess Plateau.Then gully density was extracted through two different methods including: the DEMON of the flow distribution based on aspect and the traditional single flow direction algorithm of the D8.Compared the above two extracted gully density values,we found that both of them can extract suitable gully density,and multiple flow direction algorithm was a better method to extract gully density.Therefore,this paper can delineated the degree of land surface fragmentation better and reflected local topography.

关 键 词：沟壑密度 多流向算法 汇流阈值 汇水面积 

分 类 号：S15[农业科学—土壤学]