数字流域提取方法对流域特征参数的影响研究  

Research on the Impact of Different Constructing Digital Watershed Methods on the Features of the Watershed

作　　者：万育安[1] 敖天其[1,2] 刘占洲[1] 崔伟财[1] 尹芳[1] 

机构地区：[1]四川大学水利水电学院,成都610065 [2]四川大学水力学与山区河流开发保护国家重点实验室,成都610065

出　　处：《中国农村水利水电》2009年第3期13-16,共4页China Rural Water and Hydropower

基　　金：国家自然科学基金重点项目(50739002);四川省学术和技术带头人培养基金项目

摘　　要：DEM空间分辨率和重取样方式对流域特征参数的提取会产生重要影响。以SRTM3s分辨率的DEM数据为基础,采用ZB算法、最小标高法、网格平均法3种取样方法,分别生成5种不同空间分辨率的DEM,并对提取的数字流域特征参数进行统计分析,引入墒的概念度量取样方法和DEM空间分辨率所包含的信息量。结果表明:DEM数据中的信息随着分辨率的降低逐渐有所损失,ZB算法较其他两种方法能减缓地形信息量的衰减速率。The DEM spatial resolution and sampling method have a great impact on the watershed features. In this paper, ZB algorithm, minimum sampling and average sampling are used to obtain five different spatial resolutions DEM from SRTM. The watershed features of the research basin are statistically analyzed, such as elevation, slope, topographic index, watershed area and mainstream length. The concept of entropy is considered to be a promising method in this study as it has measured the produced information of a watershed. The result shows that with the increase in DEM grid size, entropy becomes smaller and smaller; ZB algorithm can decrease the amount of other geographical information falling off, compared to the other two algorithms.

关 键 词：取样方式 DEM分辨率 流域特征 墒 

分 类 号：P333[天文地球—水文科学]