DEM-Based Geomorphological Features of Gansu Province

Wang Lina; Ding Wenguang; Xu Danyang

doi:10.13961/j.cnki.stbctb.2019.01.041

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DEM-Based Geomorphological Features of Gansu Province

- DEM-Based Geomorphological Features of Gansu Province
- Bulletin of Soiland Water Conservation Vol. 39, Issue 1, Pages: 258-263(2019)
- 作者机构：
  
  兰州大学资源环境学院,甘肃,兰州,730000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2019.01.041
  CLC：
- Published：2019
- 稿件说明：
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Wang Lina, Ding Wenguang, Xu Danyang. DEM-Based Geomorphological Features of Gansu Province[J]. Bulletin of Soiland Water Conservation, 2019, 39(1): 258-263.
DOI：

Wang Lina, Ding Wenguang, Xu Danyang. DEM-Based Geomorphological Features of Gansu Province[J]. Bulletin of Soiland Water Conservation, 2019, 39(1): 258-263. DOI： 10.13961/j.cnki.stbctb.2019.01.041.

摘要

[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。

Abstract

[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.

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