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Based On The FWEM Landslide Risk Evaluation Research

Posted on:2016-11-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y P GaoFull Text:PDF
GTID:2180330461954760Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Our country is one of the most serious countries in landslide disaster in the world, especially as traffic, water conservancy and other infrastructure construction further development in recent years, which produces a lot of events of the slope instabilityand causes the damage for national construction and the people’s property.The study areaisQingPingrural, which is located in the northwest part of the city of MianZhu, belongs to the mountain, the topography is complex and the relative elevation difference is big. The rural hasnumerous tributariesandisarranged in a tree structure; which is structural featureanddevelopmental and influenced by central Longmenshan and piedmont fault zone, exists the serious disaster risk, and makes a evaluation research on the landslide risk, it has a great significance in the government of thelate planning and construction.The Paper mainly combinedprevious research results, the mechanism of the landslide and the actual situation of research area,andbased on fuzzy evidence model, then the landslide risk evaluation in the studied area was studied, the main results are as follows:(1)the landslide risk evaluation system is a complex and systematic work, the paper comprehensively analysis the content of this part: including the establishment of the evaluation factors, quantification method selection, selection of mathematical model, the determination of risk level and risk assessment results, has a great significanceinlandslide risk evaluation for the future research work.(2)In quantitative factorspart, based on relevant theories of fuzzy mathematics and statistics analysis, combining qualitative and quantitative, and establishes the membership functions, greatly reduces the influence of subjective factors, therefore the processing of this method is more conducive to missing data, so the quantitative results are more accurate.(3)Applying the fuzzy weights model, the hazard factor will be overlaid, and then established the study area of landslide risk probability distribution, finally relied ontheArcGIS platform,transformedthe regional landslide risk probability distribution, the landslide risk evaluation simulation diagram is displayed, and compared with actual disaster situation, which shows that the evaluation results satisfiedreality.
Keywords/Search Tags:Quantification, membership, function of fuzzy evidence, landslide risk evaluation
PDF Full Text Request
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