Application of ArcGIS-based weight of evidence and weighted logistic regression model in Mori County geological hazard susceptibility zoning
The Mori Kazakh Autonomous County is characterized by complex geological conditions and widespread geological hazards such as landslides and collapses,which seriously threaten the lives and property of local people.The evaluation of geological hazard vulnerability is an important link in the work of geological hazard prevention and control,which can provide a basis for geological hazard prevention and early warning.In this paper,the weight of evidence and the weighted logistic regression model are used to quantitatively evaluate the vulnerability of geological hazards.Firstly,8 factors,such as engineering geological rock group,land cover type,elevation,slope,aspect,local maximum height difference,surface water system density,rainfall distribution,are classified,the weight value of each factor is calculated,and then the evidence weight model is used to integrate the eight factors,and the quantitative evaluation results of landslide/collapse vulnerability in the investigated area are obtained,finally,the weighted logistic regression model was used to integrate the eight factors,and the quantita-tive evaluation results of landslide/avalanche vulnerability were obtained.The susceptibility to Mori Kazakh Autonomous County was classified into high,medium and low susceptibility,with the area of high susceptibility being 244.91 km2,medium susceptibility being 2265.07 km2,and low susceptibility being 10790.87 km2,the proportion of geological disasters was 66.54%,31.56%and 1.9%respectively.Through the study on the method of regionalization of geological hazard vulnerability,it is helpful to improve the objectivity and scientific results of regionalization,and provides a sentence for the county to guide the work of disaster prevention and reduction,to reduce the impact of geological disasters on human life,property and the natural environment.
weight of evidenceweighted logistic regressionsusceptibility zoningMori Kazakh Autonomous County
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