李信, 阮明, 杨峰, 柳长柱, 杨永鹏. 基于GIS技术和信息量法的地质灾害易发性研究——以海南省昌江县为例[J]. 地质与资源, 2022, 31(1): 98-105. DOI: 10.13686/j.cnki.dzyzy.2022.01.012
    引用本文: 李信, 阮明, 杨峰, 柳长柱, 杨永鹏. 基于GIS技术和信息量法的地质灾害易发性研究——以海南省昌江县为例[J]. 地质与资源, 2022, 31(1): 98-105. DOI: 10.13686/j.cnki.dzyzy.2022.01.012
    LI Xin, RUAN Ming, YANG Feng, LIU Chang-zhu, YANG Yong-peng. EVALUATION OF GEOLOGICAL HAZARD SUSCEPTIBILITY BASED ON GIS AND INFORMATION METHOD: A Case Study of Changjiang County, Hainan Province[J]. Geology and Resources, 2022, 31(1): 98-105. DOI: 10.13686/j.cnki.dzyzy.2022.01.012
    Citation: LI Xin, RUAN Ming, YANG Feng, LIU Chang-zhu, YANG Yong-peng. EVALUATION OF GEOLOGICAL HAZARD SUSCEPTIBILITY BASED ON GIS AND INFORMATION METHOD: A Case Study of Changjiang County, Hainan Province[J]. Geology and Resources, 2022, 31(1): 98-105. DOI: 10.13686/j.cnki.dzyzy.2022.01.012

    基于GIS技术和信息量法的地质灾害易发性研究——以海南省昌江县为例

    EVALUATION OF GEOLOGICAL HAZARD SUSCEPTIBILITY BASED ON GIS AND INFORMATION METHOD: A Case Study of Changjiang County, Hainan Province

    • 摘要: 海南省昌江县地质灾害的发育受地质环境条件控制和多种外在因素影响.依据昌江县地质灾害详细调查资料,选择各类地质灾害发育的控制条件和诱发因素作为评价指标,通过建立地质灾害影响因子体系,构建信息量分析模型.通过对各项因子进行量化并使其归一化,运用层次分析法确定评价因子权重系数,利用ArcGIS的空间叠加分析功能,实现对昌江县地质灾害易发程度的评价分析.本研究将为昌江县地质灾害预警监测和地质灾害避让搬迁提供依据.

       

      Abstract: The geological hazards in Changjiang County of Hainan Province are controlled by geological environment conditions and influenced by various external factors. According to the detailed investigation data of geohazards in the area, the controlling conditions and inducing factors of various geohazards are selected as evaluation indexes, and the information analysis model is built by establishing the influencing factor system of geohazards. Through the quantification and normalization for each factor, the analytic hierarchy process(AHP) is used to determine the weight coefficients of evaluation factors, and the ArcGIS spatial overlay analysis to evaluate the geohazard susceptibility in Changjiang County. This study will hopefully provide basis for geohazard early warning-monitoring and avoidance-relocation in the area.

       

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