Open AccessLandslide risk assessment based on combination weighting-improved TOPSIS
Author(s) -
YU De-jie,
Lansong Lv,
Fanqi Meng,
Gao Feng,
Jing He,
Lixia Zhang,
Yufei Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/769/3/032022
Subject(s) - landslide , topsis , weighting , computer science , hazard , analytic hierarchy process , entropy (arrow of time) , closeness , data mining , statistics , mathematics , operations research , geology , geotechnical engineering , chemistry , physics , organic chemistry , quantum mechanics , radiology , medicine , mathematical analysis
Landslide risk assessment is of great significance to landslide disaster monitoring and prevention. A landslide hazard evaluation method based on combination weighting and improved TOPSIS method is proposed. TOPSIS based on grey correlation degree is applied to landslide hazard evaluation, and a new closeness degree is constructed to evaluate landslide hazard level. The subjective and objective weights of evaluation indexes are obtained by G 1 method and entropy weight method, which improves the accuracy of TOPSIS evaluation results. The case analysis shows that the method has high accuracy, certain rationality and effectiveness, and can provide a reference for landslide disaster prevention.