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基于CF与CF-LR模型的地质灾害易发性评价
引用本文:屠水云,张钟远,付弘流,徐世光,邓明国,何例春,刘金宇.基于CF与CF-LR模型的地质灾害易发性评价[J].中国地质灾害与防治学报,2022,33(2):96-104.
作者姓名:屠水云  张钟远  付弘流  徐世光  邓明国  何例春  刘金宇
作者单位:1.云南地矿工程勘察集团公司, 云南 昆明 650000
摘    要:区域地质灾害易发性评价对地质灾害防治具有重要意义。本文以贵州省沿河县为研究区,考虑海拔、坡度、坡向、地形曲率、NDVI、工程地质岩组、断层、道路、水系9个因素,通过相关性分析后作为评价因子。分别利用CF模型和CF-LR模型评价沿河县地质灾害易发性。结果表明:CF模型比CF-LR模型地质灾害易发性等级的频率比值从低易发区到极高易发区明显增大,均有效评价了沿河县地质灾害易发性;CF-LR模型比CF模型AUC值提高了0.096,CF-LR模型具有更高的评价精度。

关 键 词:GIS    确定性系数    逻辑回归    地质灾害易发性    沿河县
收稿时间:2021-04-26

Geological hazard susceptibility evaluation based on CF and CF-LR model
Affiliation:1.Yunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan 650000, China2.School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650000, China3.Natural Resources Bureau of Tongren City, Tongren , Guizhou 554300, China
Abstract:The evaluation of regional geological disaster susceptibility is of great significance to the prevention and control of geological disasters. This paper takes Yanhe County in Guizhou Province as the research area, and considers 9 factors including altitude, slope, aspect, terrain curvature, NDVI, engineering geological rock formations, faults, roads, and water systems as evaluation factors. The CF model and the CF-LR model were used to evaluate the susceptibility of geological disasters in Yanhe County. The results show that the frequency ratio between the CF model and the CF-LR model of geological hazard susceptibility levels increases significantly from low-prone areas to extremely high-prone areas, which effectively evaluates the susceptibility of geological hazards in Yanhe County; the CF-LR model compares The AUC value of the CF model is increased by 0.096, and the CF-LR model has a higher evaluation accuracy.
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