基于SRTM DEM的地形起伏度对天水市黄土滑坡的影响分析

doi:10.7522/j.issn.1000-0240.2017.0069

冰川冻土 ›› 2017, Vol. 39 ›› Issue (3): 616-622.doi: 10.7522/j.issn.1000-0240.2017.0069

基于SRTM DEM的地形起伏度对天水市黄土滑坡的影响分析

宿星^1,2, 魏万鸿², 郭万钦³, 王思源¹, 王国亚², 吴玮江², 叶伟林^1,2

1. 兰州大学资源环境学院西部环境教育部重点实验室, 甘肃兰州 730000;
2. 甘肃省科学院地质自然灾害防治研究所, 甘肃兰州 730000;
3. 中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室, 甘肃兰州 730000

收稿日期:2017-01-15 修回日期:2017-03-18 出版日期:2017-06-25 发布日期:2017-09-09
作者简介:宿星(1979-),男,甘肃定西人,副研究员,2006年在兰州大学获硕士学位,现为兰州大学在读博士研究生,从事地质灾害防治研究.E-mail:geocity@163.com
基金资助:
国家自然科学基金项目（41362014）；国家重点基础研究发展计划“973计划”项目（2014CB744703）；甘肃省科学院应用研发项目（2012JK-07；2013JK-06；2013JK-07；2014JK-04；2014JK-05；2015JK-01；2017JK-01）；甘肃省青年基金项目（145RJYA314）资助

Analyzing the impact of relief amplitude to loess landslides based on SRTM DEM in Tianshui Prefecture

SU Xing^1,2, WEI Wanhong², GUO Wanqin³, WANG Siyuan¹, WANG Guoya², WU Weijiang², YE Weilin^1,2

1. Key Laboratory of Western China's Environmental Systems(Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;
2. Geological Hazards Prevention Institute, Gansu Academy of Sciences, Lanzhou 730000, China;
3. State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

Received:2017-01-15 Revised:2017-03-18 Online:2017-06-25 Published:2017-09-09

摘要/Abstract

摘要： 以天水市辖区30 m分辨率的SRTM DEM数据为基础，首先利用GIS空间分析模块中邻域统计分析法，依次选取2×2、3×3、4×4、…、28×28、29×29、30×30共29个矩形邻域分析窗口，运用均值变点分析法进行最佳计算单元的计算分析。结果表明：12×12的网格大小（12.96×10⁴ m²）为曲线突变的拐点，作为曲线由陡变缓的阈值，确定12×12的网格大小（12.96×10⁴ m²）为研究区地形起伏度计算的最佳单元，生成研究区地形起伏度分级图。进而采用确定性系数法（CF）、证据权法、信息量法和条件概率法对研究区发育的黄土滑坡灾害与地形起伏度之间的相关关系进行了定量分析。研究结果表明，区内地形起伏度影响因子层中地形起伏度60~120 m的分级因子层为黄土滑坡灾害的易发因子层，而其中60~90 m区间的值最大，为黄土滑坡灾害的优势因子区间，对滑坡的响应最敏感。

关键词: 黄土滑坡, 地形起伏度, 确定性系数法, 证据权法, 信息量法, 条件概率法, 天水市

Abstract: Based on the SRTM DEM in the resolution of 30 m in municipal districts of Tianshui Prefecture, spatial neighborhood analysis was done with the window of 29 different sizes (from 2×2, 3×3,…, to 30×30). Then, mean change-point analysis was done to select the best statistical unit (the size of window). The results show that the curve appeared a inflection point at the grid unit of 12×12 mesh size (12.96×10⁴ m²), which can be taken as a threshold and be used as the optimal analytical unit. Hereby, a grade diagram of relief amplitude can be completed in the study area with the mesh size of 12×12. The correlation of loess landslides with relief amplitude were quantitatively calculated with certainty factor method, weights-of-evidence method, information method and conditional probability method. The result shows that the relief amplitude of 60~120 m is the sensitive relief, in which, 60~90 m is the relief with most landslides and is most sensitive to landslides.

Key words: loess landslide, relief amplitude, certainty factor method, weights-of-evidence method, information method, conditional probability method, Tianshui Prefecture

中图分类号:

P642.22

宿星, 魏万鸿, 郭万钦, 王思源, 王国亚, 吴玮江, 叶伟林. 基于SRTM DEM的地形起伏度对天水市黄土滑坡的影响分析[J]. 冰川冻土, 2017, 39(3): 616-622.

SU Xing, WEI Wanhong, GUO Wanqin, WANG Siyuan, WANG Guoya, WU Weijiang, YE Weilin. Analyzing the impact of relief amplitude to loess landslides based on SRTM DEM in Tianshui Prefecture[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2017, 39(3): 616-622.

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基于SRTM DEM的地形起伏度对天水市黄土滑坡的影响分析

Analyzing the impact of relief amplitude to loess landslides based on SRTM DEM in Tianshui Prefecture

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