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基于信息量模型法的南礤镇地质灾害易发性评价

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基于信息量模型法,选取坡度、坡形、地形起伏度、土地利用类型、地质构造、岩土体类型、植被覆盖 7 项评价指标,构建广东蕉岭南礤镇地质灾害易发性评价指标体系,进行地质灾害易发性评价和分区.研究地质灾害主要类型和规律性分布特点,更加精准地制定防治措施,提高防治工作的针对性和有效性.
SUSCEPTIBILITY EVALUATION OF GEOLOGICAL DISASTERS IN NANCA TOWN BASED ON INFORMATION MODEL METHOD
Based on the information model method,seven evaluation indicators including slope,slope shape,terrain undulation,land use type,geological structure,rock and soil type and vegetation coverage were selected to construct a geological disaster susceptibility evaluation index system for Nanca Town,Jiaoling,Guangdong.This was used to conduct geological disaster susceptibility evaluation and zoning.Studying the main types and regular distribution characteristics of geological disasters helps to formulate prevention and control measures more accurately and improves the pertinence and effectiveness of prevention and control work.

Current Situationof Geological DisastersInformation Modeling MethodSusceptibility EvaluationNanca TownJiaoling,Guangdong

王子航、向乐天

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广东省地质局第三地质大队,广东韶关 512026

地质灾害现状 信息量模型法 易发性评价 南礤镇 广东蕉岭

2024

云南地质
云南省地矿总公司 云南省地质矿产勘查院

云南地质

影响因子:0.259
ISSN:1004-1885
年,卷(期):2024.43(3)