GEOHAZARD SUSCEPTIBILITY ASSESSMENT BASED ON CF-LR MODEL FOR XINYANG CITY, HENAN PROVINCE
SHEN Yu-song1,2, ZHANG Chen1,2, WANG Yi-jie1,2, ZHANG Di1,2
1. Henan No. 3 Institute of Geology and Mineral Resources Survey Co., Ltd., Zhengzhou 450000, China; 2. Henan Science and Technology Innovation Center of Natural Resources (Application Research of Information Perception Technology), Zhengzhou 450000, China
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.
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.
SHEN Yu-song, ZHANG Chen, WANG Yi-jie, ZHANG Di. GEOHAZARD SUSCEPTIBILITY ASSESSMENT BASED ON CF-LR MODEL FOR XINYANG CITY, HENAN PROVINCE. GEOLOGY AND RESOURCES, 2024, 33(1): 74-81,134.
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