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Study On Landslide Susceptibility Evaluation Of A Typical Loess Area In Yili Prefecture

Posted on:2021-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:G FuFull Text:PDF
GTID:2480306308458424Subject:Architecture and Civil Engineering
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In recent years,geological disasters,mainly landslides,have occurred frequently in the Yili area,causing serious casualties and property losses to the local area.The disaster prevention and control situation is very severe.In this paper,a typical loess area in Yili Prefecture is selected as the research area,and the landslide hazard susceptibility evaluation and zoning study of this area are carried out.This study can provide a scientific basis for the follow-up prevention and control planning work in this area,and on the other hand,it can also provide a reliable reference for the study of similar landslide disasters in the Yili area.The main research conclusions of this paper are as follows:(1)According to the 0.6m resolution Google Earth image,a total of 3,424 landslides were visually interpreted on the Google Earth platform.The total area of all landslides is 3.65 km2,accounting for 1.56%of the study area.The density of landslide points is 14.64 points/km2.(2)Fully studied the relationship between the landslide and each hazard factor,combined with the actual situation and the research experience of others,selects elevation,slope,aspect,topographical position index(TPI),distance from road,distance from river,distance from fault,and average rainfall for many years A total of nine influencing factors,including quantity and normalized vegetation index(NDVI),construct an evaluation index system for landslide susceptibility.(3)The information model and the LR model were used to evaluate the landslide susceptibility,and the landslide susceptibility zoning map based on two different models was obtained.The ROC curve and mathematical statistics are used to test the accuracy and rationality of the two models.The results show that the logistic regression model is a more suitable evaluation model for this region.(4)The high-prone areas and extremely high-prone areas are mainly distributed in a hilly area between the Piliqing River and the Gilgerang River.The terrain of this area is relatively high.The elevation is generally above 1400m and the slope is generally below 40°.Low-prone areas and extremely low-prone areas are mainly distributed in river valleys and nearby low-lying places.Although there are not many landslides in these places,some large-scale landslides are prone to develop under the action of long-term river erosion.The medium-prone areas are mainly distributed in relatively flat areas between the low-prone areas and the high-prone areas.Generally speaking,the susceptible areas in the study area are mainly affected by topography.(5)Based on the zoning results of landslide susceptibility,landslide distribution characteristics,and the actual situation in the study area,targeted prevention and control recommendations are put forward.Figure 37 Table 7 References 78...
Keywords/Search Tags:Landslide, Information model:Logistic regression model, ROC curve, Susceptibility evaluation
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