生态与农村环境学报2015，Vol.31Issue(6)：955-962,8.DOI:10.11934/j.issn.1673-4831.2015.06.024
基于"3S"技术和LR-WSVM模型的广州市花都区滑坡灾害风险评估与区划
Landslide Hazard Risk Assessment and Zoning of Huadu District of Guangzhou Based on "3S" Technique and Logistic Regress-Weighted SVM Model
摘要
Abstract
Landslide is one of the three major natural hazards in China. It is, therefore, very important to study how to perform landslide risk assessment and zoning. The related studies may provide policymakers with theoretic basis in formula-ting strategies and policies for control of landslides. On the basis of the field surveys and relevant researches already done, 11 factors, such as terrain, lithology, vegetation, land use, precipitation, fault, human activities, etc. have beer used as evaluation indexes in performing landslide risk assessment for Huadu District with the aid of the logistic regression-weighted support vector machine model. Landslide risks in the region were sorted into 5 grades, and in the end the model in fitting accuracy with ROC curve has been verified. Results show that the risk was quite high in a large portion of Timian Town, and a certain portion of Huadong and Chini towns, which is spatially consistent with distribution of the 65 landslide disaster inventory data; The regions, very low, low, moderate, high and very high in risk accounted for 28. 19%, 31. 31%, 25. 54%, 11. 73% and 3. 24%, respectively, of the district in area. Verification of fitting accuracy with ROC curve shows that the model of logistic regression-weighted SVM may be used effectively to assess landslide risks in this re-gion, with fairly high assessment accuracy, grading ability and objectivity.关键词
滑坡灾害/风险评价/逻辑回归/支持向量机/花都区Key words
landslide hazard/risk assessment/logistic regression/support vector machine/Huadu District分类
资源环境引用本文复制引用
张春慧,陈美招,郑荣宝..基于"3S"技术和LR-WSVM模型的广州市花都区滑坡灾害风险评估与区划[J].生态与农村环境学报,2015,31(6):955-962,8.基金项目
国家自然科学基金( 41201542 ) （ 41201542 ）
教育部人文社科基金(12YJCZH271) （12YJCZH271）
