Abstract
Abstract To reduce the adverse effects of geological disasters on Nyingchi, this article selected nine highly correlated risk assessment factors for the types of geological disasters such as landslides and debris flows and used two methods of analytic hierarchy process and fuzzy analytic hierarchy process for analysis and comparison. The spatial overlay analysis of each factor with weight is carried out in ArcGIS to make a classification map of geological hazards in Nyingchi. Risk assessment of geological disasters such as collapses, landslides, and mudslides indicates that the slope, distance from the faults, and relative elevation difference of topography have severe impact on natural disasters; at least more than 60% of the areas belong to medium-, high-, and extremely high-risk areas, and it is urgent to strengthen protection and governance; the evaluation results of the fuzzy analytic hierarchy process are more in line with the actual survey situation and are more suitable for Tibet. This research is able to provide a basis for ecological protection, ecological restoration, and geological disaster prevention and management in southeastern Tibet. It also has important reference value for the coordinated development of urban and the environmental projects.
Highlights
To reduce the adverse effects of geological disasters on Nyingchi, this article selected nine highly correlated risk assessment factors for the types of geological disasters such as landslides and debris flows and used two methods of analytic hierarchy process and fuzzy analytic hierarchy process for analysis and comparison
The traditional analytic hierarchy process tends to be affected by the cognitive skills and knowledge of evaluators, which may significantly reduce the accuracy of evaluation results. Quantitative methods such as information model, machine learning, and logistic regression model are suitable for specific geological disasters, which are completely based on the judgment of the data, and a large amount of data of different time series in the same place are required
These special geographical environments have become an important reason for the frequent occurrence of geological disasters in this area
Summary
Abstract: To reduce the adverse effects of geological disasters on Nyingchi, this article selected nine highly correlated risk assessment factors for the types of geological disasters such as landslides and debris flows and used two methods of analytic hierarchy process and fuzzy analytic hierarchy process for analysis and comparison. Quantitative methods such as information model, machine learning, and logistic regression model are suitable for specific geological disasters, which are completely based on the judgment of the data, and a large amount of data of different time series in the same place are required. They are suitable for specific geological hazards, it is difficult to extend the conclusions to their situations. The research results provide important reference values, especially to the ongoing SichuanTibet railway construction and the large-scale transregional power transmission and transformation project
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call