化工矿产地质2023，Vol.45Issue(4)：347-358,12.
基于信息量、信息量-逻辑回归模型综合法的地质灾害易发性研究
Geological Hazard Susceptibility Study Based on Information Value and Information Value-Logistic Regression Model Integration Method—A Case Study of Majian Town,Zhuji City
摘要
Abstract
For the study of the reliability of two methods,the Information Value Model Comprehensive Method and the Information Value-Logistic Regression Model Comprehensive Method,in the assessment of geological hazard susceptibility in rural towns,Majian Town in Zhuji City,north Zhejiang Province,was selected as the research subject.By applying quantitative mathematical and statistical principles,nine influencing factors were selected:slope,aspect,height difference,slope type,thickness of the covering layer,lithology and litho-structural characteristics,slope structure,distance to the fault,and slope height.The Information Value Model and the Information Value-Logistic Regression Model were used in conjunction with the assessment of the susceptibility to valley debris flow,to comprehensively assess the designated slope units.The results showed that both methods were able to assess the susceptibility of geological hazards relatively objectively and accurately,with AUC values of 0.901 and 0.899,respectively.This indicates that the Information Value Model Comprehensive Method performed slightly better in terms of rationality and accuracy.This study provides important technical support for the investigation and assessment of geological hazard risks in the related rural towns.关键词
易发性评价/评价指标/信息量模型综合法/信息量-逻辑回归模型综合法Key words
Susceptibility assessment/Assessment index/Information Value Model Comprehensive Method/Informative Value-Logistic Regression Model Comprehensive Method分类
天文与地球科学引用本文复制引用
王美华..基于信息量、信息量-逻辑回归模型综合法的地质灾害易发性研究[J].化工矿产地质,2023,45(4):347-358,12.基金项目
中央自然灾害防治体系建设补助资金(绍兴市和诸暨市地方财政配套)浙江省诸暨市马剑镇地质灾害风险调查评价项目(编号:SZ-2022-5) （绍兴市和诸暨市地方财政配套）
