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Geohazard Assessment Based On Combination Weight Factor Model In Kuandian Country

Posted on:2021-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:C T ChenFull Text:PDF
GTID:2370330602474447Subject:Engineering
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Our country has a vast land area with diverse topography,complex geological conditions and frequent tectonic activities.The above causes make geological hazards widely distributed and difficult to control.These geological hazards not only destroys the environment in which human beings live,but they also gradually threaten the safety of people's lives and property.Geological hazards assessments can provide a reliable basis for disaster prevention and management and is of great relevance.In this paper,we selected Liaoning Kuandian as the study area.Based on the collection of relevant information,we analyzed the impact factors of geological hazards and established a system of assessments on GIS.A combination of AHP(the analytic hierarchy process)and RF(random forests)draw conclusions to the geohazard susceptibility.The following outputs were produced:(1)Established an assessment system suitable based on the natural geography and engineering geology.Screening topography(topographic slope),rock properties,soil properties,distance from terrestrial water,NDVI,tectonic density,and distance from the point of human engineering activity as the main evaluation factors based on the mechanism and predisposing factors of hazard.(2)AHP and RF were used to assign weights to the factors,respectively,to obtain weights based on the respective theories.(3)The article also discusses the criteria for determining the performance of the model,comparing the performance of the model from various aspects such as ROC curve,accuracy of data on the validation set,and coverage of the unit to establish a reasonable evaluation.(4)The combination weights algorithm was tested through a project as a wellperforming model that can provide guidance for geohazard management efforts.
Keywords/Search Tags:Geological hazard, hazards assessment, combination weights algorithm
PDF Full Text Request
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