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Study On Risk Early Warning Method Of Landslide In Mountainous Development Area Of Low Hills And Low Hills

Posted on:2018-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:T L ZhaiFull Text:PDF
GTID:2310330512497947Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Our country is characterized by a large population with relatively arable land.With the rapid development of economy and society in recent years,there is an increasing demand for construction land,a large number of high quality cultivated land occupied land for construction purposes,the contradiction between cultivated land protection and meet the demand of urban and rural construction land is increasingly prominent.In order to ensure the sustainable development of the city and the safety of grain production,to ease the conflict between urban land demand and cultivated land protection,some cities and counties in southeastern China,such as Lishui City,have carried out a lot of research and practice on how to use mountain land resources,Zhejiang and other provinces also developed a development and utilization of low mountain mountain implementation policy.Due to the low hilly mountain development has lead to the risk of slope sliding disaster,the study of landslide disaster early-warning model of low hilly mountain development is very necessary.At present,there is little research for landslide disaster early warning system of low hilly mountain development perspective.Taking into account the possibility of landslide disasters in Building Urban Projects On Mountains regions is caused by human development activities,and the landslide is a complex and dynamic system,this paper introduces the extension theory based on the traditional method.Parametric variable model in extension theory is a dynamic model,that can fit the system well.Therefore,based on the principle of extenics to build a low mountain mountain area of geological disaster early warning model can better serve the implementation of relevant policies.Firstly,based on the three basic concepts of extension theory,the principle of early warning is analyzed,and the modeling process of landslide risk early warning is clarified.Secondly through consulting a large number of relevant literature,site information and consulting experts opinions,this study developed a landslide warning factor value table;using AHP method,the weight of each landslide influencing factor is obtained.Based on the actual situation of Dali city and the previous research results,the influence factors of landslide disaster are selected,and the data of each influence factor is obtained by using GIS and remote sensing technology: the elevation data from the ASTER GDEM V2 elevation data,the resolution is 30m;based on DEM data the slope data of the study area is generated using the mid-slope tool of the ArcGIS Surface Analysis tool set;vegetation coverage data using Landsat8 remote sensing images by radiation calibration,atmospheric correction and other steps after the use of pixel dichotomy model to obtain;highway density data using ArcGIS line density analysis tool to obtain;engineering earth volrme is based on the DEM data before and after the project,using the grid calculator module in ArcGIS;displacement data using D-INSAR technology through Sentinel-1 radar data acquisition;precipitation data is mainly provided by the local meteorological department.and then refer to the geological hazard risk classification,to determine the landslide risk warning level table;Finally,this study has carried out early warning experiment to the two possible existence of landslide risk,through the landslide warning factor value table,constructing standard study area element and joint domain matter-element,constructing evaluation matter-element according to the actual observation data of the study area,calculating element evaluation on early warning rank correlation and comprehensive correlation,Ultimately determine the warning level of two points are blue warning level.At the same time,the level characteristic variables of two points are calculated,the results show that the point A is more stable than the point B,the experimental results are consistent with the local actual situation,and it is proved that the early warning method is scientific and effective.This paper chooses Dali City as the research area,based on the extension theory,through the selection of low-hill slope slope development of landslide hazard early warning key indicators parameters,the model of landslide risk early warning model suitable for low mountain and gentle mountainous development area is established,and the corresponding early warning application is carried out.The results show that the proposed method can be used for early warning of landslide hazards,which may be caused by low hilly mountain development,and the result is consistent with the actual situation.The research can provide technical support for the development of sustainable utilization of land resources in China and people's life and property safety,but also provides reference for the development of low hilly mountainous geological disaster warning.
Keywords/Search Tags:Low Hilly Woodland, Building Urban Projects On Mountains, Extenics, Landslide Disaster Warning, Dali City
PDF Full Text Request
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