温金梅, 杨龙, 苟敬, 李德龙, 吴涛. 基于信息量法的地质灾害易发性评价——以重庆市巫山县县城为例[J]. 地质与资源, 2021, 30(2): 193-198, 192. DOI: 10.13686/j.cnki.dzyzy.2021.02.011
    引用本文: 温金梅, 杨龙, 苟敬, 李德龙, 吴涛. 基于信息量法的地质灾害易发性评价——以重庆市巫山县县城为例[J]. 地质与资源, 2021, 30(2): 193-198, 192. DOI: 10.13686/j.cnki.dzyzy.2021.02.011
    WEN Jin-mei, YANG Long, GOU Jing, LI De-long, WU Tao. EVALUATION OF GEOHAZARD SUSCEPTIBILITY BASED ON INFORMATION METHOD: A Case Study of Wushan County in Chongqing Municipality[J]. Geology and Resources, 2021, 30(2): 193-198, 192. DOI: 10.13686/j.cnki.dzyzy.2021.02.011
    Citation: WEN Jin-mei, YANG Long, GOU Jing, LI De-long, WU Tao. EVALUATION OF GEOHAZARD SUSCEPTIBILITY BASED ON INFORMATION METHOD: A Case Study of Wushan County in Chongqing Municipality[J]. Geology and Resources, 2021, 30(2): 193-198, 192. DOI: 10.13686/j.cnki.dzyzy.2021.02.011

    基于信息量法的地质灾害易发性评价——以重庆市巫山县县城为例

    EVALUATION OF GEOHAZARD SUSCEPTIBILITY BASED ON INFORMATION METHOD: A Case Study of Wushan County in Chongqing Municipality

    • 摘要: 以重庆市巫山县县城为研究对象,对县城地质灾害特征及其影响因素进行分析研究,得出影响其地质灾害发育的主要因素有地形地貌条件、工程地质岩组、地质构造、斜坡结构类型、三峡水库水位和其他人类工程活动.利用信息量法,通过ArcGIS软件对各因素的空间信息进行提取和计算,得出其对地质灾害的贡献值.以此对其易发性进行分区,分出了极高易发、高易发、中易发和低易发区.分别统计不同区域内地质灾害的发生数量,发现地质灾害易发性越高的区域,其地质灾害点密度越大,这与实际情况基本吻合,拟合度较好.该结果可用于同类型地区的地质灾害易发性评价.

       

      Abstract: Taking the Wushan County in Chongqing Municipality as object, the paper analyzes the characteristics of geohazards and influencing factors which include the topographic conditions, engineering geological rock formation, geological structure, slope structure, water level of the Three Gorges Dam and other human engineering activities. Based on information method, the ArcGIS software is used to extract and calculate the spatial information of each factor to get their contribution values to geohazards, and divide the susceptibility into ultra-high-risk, high-risk, middle-risk and low-risk areas. The occurrences of geohazards in different areas are counted respectively. It is found that the higher the susceptibility is, the more the geological disaster points there are, which is basically consistent with the actual situation, with good fitting degree. The result can be used to evaluate the susceptibility of geohazards in the same type of areas.

       

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