申玉松, 张宸, 王艺杰, 张迪. 基于CF-LR模型的河南省信阳市地质灾害易发性评价[J]. 地质与资源, 2024, 33(1): 74-81, 134. DOI: 10.13686/j.cnki.dzyzy.2024.01.009
    引用本文: 申玉松, 张宸, 王艺杰, 张迪. 基于CF-LR模型的河南省信阳市地质灾害易发性评价[J]. 地质与资源, 2024, 33(1): 74-81, 134. DOI: 10.13686/j.cnki.dzyzy.2024.01.009
    SHEN Yu-song, ZHANG Chen, WANG Yi-jie, ZHANG Di. GEOHAZARD SUSCEPTIBILITY ASSESSMENT BASED ON CF-LR MODEL FOR XINYANG CITY, HENAN PROVINCE[J]. Geology and Resources, 2024, 33(1): 74-81, 134. DOI: 10.13686/j.cnki.dzyzy.2024.01.009
    Citation: SHEN Yu-song, ZHANG Chen, WANG Yi-jie, ZHANG Di. GEOHAZARD SUSCEPTIBILITY ASSESSMENT BASED ON CF-LR MODEL FOR XINYANG CITY, HENAN PROVINCE[J]. Geology and Resources, 2024, 33(1): 74-81, 134. DOI: 10.13686/j.cnki.dzyzy.2024.01.009

    基于CF-LR模型的河南省信阳市地质灾害易发性评价

    GEOHAZARD SUSCEPTIBILITY ASSESSMENT BASED ON CF-LR MODEL FOR XINYANG CITY, HENAN PROVINCE

    • 摘要: 河南省信阳市位于我国地理南北分界线、气候分界线, 是地质灾害多发市, 地质灾害易发性评价对防灾减灾有重要的指导意义. 基于资料分析, 选取坡度、坡向、地形曲率、到水系距离、到断层距离、夜间灯光指数和植被指数共7个指标, 采用CF-LR模型, 对信阳市地质灾害易发性进行了评价. 结果表明, 信阳市地质灾害易发性程度划分为4类: 极高易发区(占全区面积11.39%)、高易发区(19.51%)、中易发区(14.20%)和低易发区(54.90%). 经合理性和准确性检验, 评价结果符合要求, 说明采用的CF-LR模型能够较为客观准确地评价信阳市地质灾害易发性.

       

      Abstract: Xinyang City of Henan Province, located on the north-south boundary of both geography and climate of China, is prone to geological disasters. The assessment of geohazard susceptibility is of great guiding significance for disaster prevention and reduction. Based on the data analysis, 7 indexes including slope gradient, aspect, terrain curvature, distance to water system, distance to faults, nighttime light index and vegetation index are selected and the CF-LR model is used to assess the geohazard susceptibility in Xinyang City. The results show that the geohazard susceptibility in the area can be divided into four categories: extremely high-risk area(accounting for 11.39% of the total area), high-risk area (19.51%), medium-risk area (14.20%) and low-risk area (54.90%). The results are verified to meet the requirements of rationality and accuracy, indicating that the CF-LR model can objectively and accurately assess the geohazard susceptibility in Xinyang City.

       

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