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Based On Remote Sensing To Evaluate The Vulnerability Of Geological Hazards In Mouding County, Yunnan Province

Posted on:2019-08-22Degree:MasterType:Thesis
Country:ChinaCandidate:S S MaFull Text:PDF
GTID:2430330563957501Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
The research area of this paper is located in mouding county,chuxiong yi autonomous prefecture,yunnan province.XianJing high steep north west mountain,plateau landscape relatively intact,deep valley steep slope in the northeast,the surface broken,and topography is one of the important basic condition of the development of geological disasters in the induced factors such as rainfall,human activities,geological hazards in development.Detailed investigation of geological disasters in yunnan monding county(1:50 000)project as the foundation,such as debris flow,landslide,collapse,ground subsidence situation of geological disasters(hidden)as the research object,the general situation of the natural geographic and geological monding county fully collecting,sorting,the familiar situation,using ARCGIS,ERDAS platform for monding county of geological environment and the existing geological disasters(landslide,collapse,debris flow,ground collapse)the development of distribution based on understanding of translation of signs man-computer interactive interpretation.However,this article as a study evaluation of the paper,its core idea is to use remote sensing data,technical means of the geological disaster in mouding county altogether throws oneself make a qualitative analysis and interpretation,and combining the entropy weight method,the quantitative evaluation on the method of analytic hierarchy-the amount of information,and finally combined with the actual field geological Zai Hai Dian verified,in order to prove the importance of remote sensing technology in regional geological disaster survey,reliability,and this article selects two kinds of geological hazard evaluation method(entropy weight method,the method of analytic hierarchy-the amount of information)to the rationality of monding county geological disaster evaluation.So,just by deciphering of remote sensing data and remote sensing technology to the persuasive in the liability division of geological disaster is not enough,conducted by landform and geological environment in the liability of the partition is qualitative analysis at the same time,we will based on the remote sensing interpretation of geological Zai Hai Dian,combined with field test,remove the unreasonable indoor remote sensing geological Zai Hai Dian,using GIS spatial analysis ability and choose elevation,gradient,slope direction,stratigraphic lithology,groundwater type,fault distance,distanc e from highway,distance from drainage,vegetation coverage,population density,the average annual rainfall,a total of 11 factors,using the entropy weight method and the method of analytic hierarchy-the amount of information,using rules unit grid as evaluation unit,the real do the quantitative and qualitative analysis.The following knowledge is obtained from this study:1.through to the monding landform,stratum lithology,geological environment in the county of interpretation,the survey found that geological hazards,monding county,was born in soft mudstone or soft hard rock alternating layers of rock mass,the area of high steep slope of the mountain,and accompanied by rainfall and population density larger concentrated inducing factors.2.Through remote sensing interpretation,establishing interpretation symbols interpret geological disasters,and analysis of the distribution characteristics of geological disasters,and remote sensing in geologic Zai Hai Dian(hidden)data as a basis for monding county geological disaster partition,accuracy and reliability of the remote sensing geological disasters.3.The evaluation of disaster vulnerability was made by selecting rule element grid.With entropy weight method and hierarchical analysis method to est ablish evaluation model of information,elevation,gradient,slope direction,formation lithology,groundwater types and vegetation types,according to the road distance,is apart from the average annual rainfall,and drainage distance of the fault distanc e,population density,a total of 11 factors as a factor of liability monding county geological disaster evaluation,liability for monding county geological disaster regionalization.4.In this paper,we compare the results of entropy weight method and hie rarchical analysis-information method,and conclude that it is more accurate.
Keywords/Search Tags:Muding County, Geological hazards, Entropy weight, Analysis-Information method, Evaluation Unit, disaster factors, vulnerability Evaluation
PDF Full Text Request
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