DEBRIS FLOW SUSCEPTIBILITY MAPPING USING AN IMPROVED INFORMATION VALUE MODEL BASED ON A COMBINED WEIGHTING METHOD FOR JILIN PROVINCE, CHINA

作者：Chen, Junjun; Cao, Chen; Qin, Shengwu^*; Peng, Shuaiying; Ma, Qiang; Liu, Xu; Zhai, Jianjian

来源：Fresenius Environmental Bulletin, 2018, 27(12B): 9706-9716.

• Debris flow
• susceptibility mapping
• information value model
• combined weighting method
• Jilin Province

The main purpose of this study is to generate a debris flow susceptibility zoning map for Jilin Province, which is in northeast China. An improved information value model (IVM) based on a combined weighting method (IVM-CWM) was proposed as the main susceptibility evaluation method. To begin, a debris flow inventory map of Jilin Province was prepared using a total of 1407 investigated debris flow events that occurred before 2012. The debris flow events were randomly divided into two groups: 70% for model training and 30% for verifying. Ten debris flow influencing factors were initially prepared, and the relativity between these factors and the occurrence of debris flow hazards was analysed by calculating the information value index of each layer using the 70% training data. The weight of each influencing factor was calculated based on a linear combined weighting method (CWM), which itself was based on an analytic hierarchy process (AHP) and entropy weighting method (EWM). Four debris flow susceptibility maps of Jilin Province were generated based on the IVM, IVM based on AHP (IVM-AHP), IVM based on EWM (IVM-EWM), and IVM-CWM. According to the receiver operating characteristic (ROC) curve, the new proposed IVM-CWM was determined to be ideal for this study. The percentage area of very low, low, moderate, high and very high in the optimal susceptibility map are 23.75%, 28.39%, 21.16%, 17.38%, and 8.32%, respectively.

• 出版日期2018
• 单位吉林大学