Application of Spatial Analysis in Susceptibility Regionalization of Geological Disaster in Yaozhou District of Tongchuan City

YAN Yan; DU Rong-jun; YAN Fang

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Application of Spatial Analysis in Susceptibility Regionalization of Geological Disaster in Yaozhou District of Tongchuan City

- Application of Spatial Analysis in Susceptibility Regionalization of Geological Disaster in Yaozhou District of Tongchuan City
- Bulletin of Soiland Water Conservation Vol. 29, Issue 1, Pages: 146-150(2010)
- 作者机构：
  
  1. 煤炭科学研究总院西安研究院工程所,陕西,西安,710054
  2. 西安科技大学地质与环境学院,陕西,西安,710054
  3. 西北政法大学行政法学院,陕西,西安,710122
- 作者简介：
- 基金信息：
- DOI：
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- Published：2010
- 稿件说明：
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YAN Yan, DU Rong-jun, YAN Fang. Application of Spatial Analysis in Susceptibility Regionalization of Geological Disaster in Yaozhou District of Tongchuan City[J]. Bulletin of Soiland Water Conservation, 2010, 29(1): 146-150.
DOI：

YAN Yan, DU Rong-jun, YAN Fang. Application of Spatial Analysis in Susceptibility Regionalization of Geological Disaster in Yaozhou District of Tongchuan City[J]. Bulletin of Soiland Water Conservation, 2010, 29(1): 146-150. DOI：

摘要

为了进行铜川市耀州区地质灾害易发区的区划

选取了铜川市耀州区具有代表性的4个乡镇

确定了影响耀州区地质灾害易发性的主要因子

即岩土体类型、地形地貌、年降雨量和人类工程活动强度

并用分形分维理论验证了其可靠性。将灰色关联分析得到的各影响因子与易发性的关联度作为MAPGIS空间分析功能的评价权重

最后通过多图层叠加得到耀州区地质灾害易发性的分区图

所得结果与实际情况基本吻合。

Abstract

In order to make the division of geological disaster susceptibility in Yaozhou District of Tongchuan City

4 most representative townships were chosen and the main influence factors to geological disaster susceptibility were determined.The factors were types of rock and soil mass

physiognomy

annual rainfall

and human engineering activity strength

which were verified using fractal and fractal dimension theory.The relational degrees between each influence factor and susceptibility obtained by the grey relational analysis were taken as the evaluation weights of the MAPGIS spatial analysis.By superposition of different layers

the regionalization map of geological disaster susceptibility was finally completed.Result showed in the map was basically consistent with real situation.

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