A Research on Susceptibility Mapping of Multiple Geological Hazards in Yanzi River Basin, China

Bibliographic Data

ID22033722
AuthorsRuiyuan Gao (0000-0001-6605-4122, Jilin University), Changming Wang (0000-0003-1158-7727, Jilin University, corresponding author), Zhu Liang (0000-0003-4099-5324, Jilin University), Songling Han (0000-0001-7775-3084, Jilin University), Bailong Li (0000-0002-9094-0076, Jilin University)
Year2021
Volume10
Issue4
Pages218
Publication date2021-04-01
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10040218
OpenAlexW3152092910
LanguageEN
Citations received6
References cited37

Collapses, landslides, and debris flows are the main geological hazards faced by mankind, which bring heavy losses of life and property to people every year. The purpose of this paper is to establish a method for determining the optimal weighting scheme for multiple geological hazard susceptibility mapping. The information gain ratio (IGR) method was used to analyze the predictive ability of the conditioning factors. The support vector machine (SVM) algorithm was used to evaluate the susceptibility to collapse, landslide, and debris flow of the study area. The receiver operating characteristic curves (ROC) and classification statistics of geological hazard samples were applied to evaluate the performance of the models. The analytic hierarchy process (AHP) and frequency ratio (FR) method were combined to determine the optimal weighting scheme for collapse, landslide, and debris flow. All the conditioning factors have shown a certain predictive ability, making the models of collapse, landslide, and debris flow achieve very good performance. The multiple geological hazard susceptibility maps with the weights of 0.297, 0.539, and 0.164 for collapse, landslide, and debris flow was optimal for this study area with high-precision classification of all the geological hazard samples. The conclusions of this paper could provide meaningful references for risk migration and land use in the study area

Analytic hierarchy process · Data mining · Debris · Debris flow · Geologic hazards · Geotechnical engineering · Hazard · Landslide · Mining engineering · Operations research · Weighting · Computer Science · Engineering · Geotechnical Engineering and Analysis · Landslides and related hazards · Rock Mechanics and Modeling · Geology

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