%0 Journal Article %T 基于DEM的甘肃省地貌形态特征分类 %T DEM-Based Geomorphological Features of Gansu Province %A 王丽娜 %A 丁文广 %A 许丹阳 %A Wang Lina %A Ding Wenguang %A Xu Danyang %J 水土保持通报 %J 水土保持通报英文版 %@ 1000-288X %V 39 %N 1 %D 2019 %P 258-263 %K DEM;甘肃省;地貌形态分类;水系盒维数检验 %K digital elevation model (DEM);Gansu Province;geomorphological classification;water box dimension test %X [目的]分析微观尺度上的地貌分类指标,为甘肃省的水土流失、地质灾害防治以及农业规划决策提供数据支持。[方法]利用甘肃省DEM数据,通过窗口递增分析、均值变点分析、叠加分析、水系盒维数检验等方法,得到甘肃省地貌形态特征分类试验的最佳分析窗口以及甘肃省地貌形态特征分类结果。[结果]①利用均值变点分析得到甘肃省DEM分类试验的最佳分析窗口为29×29。②根据分类指标体系,结合地表起伏度、地表切割度、地形位置指数(TPI)因子将甘肃省地貌形态分为13类。[结论]提取研究区内5个小流域对得到的甘肃省地貌形态特征分类结果进行了检验,分类结果符合实际情况。构建的甘肃省地貌形态特征的分类指标体系实现了甘肃省地貌形态特征分类试验。 %X [Objective] To analyze the geomorphological classification indicators at the micro scale, in order to provide data support for soil erosion, prevention and control of geological disasters and agricultural planning decisions in Gansu Province.[Methods] Based on the digital elevation model (DEM) data, the optimal analysis window of the geomorphological feature classification and the geomorphological characteristics of Gansu Province were obtained by the window increment analysis, mean-variation analysis, overlay analysis and water box dimension test. [Results] ① According to the mean-variation analysis, the optimal analysis window for DEM classification experiment in Gansu Province was 29×29. ② Based on the classification index system, the geomorphological of Gansu Province could be divided into 13 categories, according to the surface fluctuations, surface cutting degree and topographic position index (TPI) index factor. [Conclusion] Five small watersheds in the study area were selected to test the classification results of the geomorphological features of Gansu Province, and the classification results were in accordance with the actual situation. This paper constructs a classification index system of geomorphological characteristics in Gansu Province, and realizes the classification test of geomorphological characteristics in Gansu Province. %R 10.13961/j.cnki.stbctb.2019.01.041 %U http://stbctb.alljournal.com.cn/stbctb/home %1 JIS Version 3.0.0