A landslide disaster risk assessment method

Abstract

The invention discloses a landslide hazard risk assessment method, which is characterized in that the feedback functions of four assessment contents, including the dangerousness, the vulnerability, the damage loss and the prevention and treatment engineering, of the landslide hazard are analyzed, and a mathematical model for landslide hazard risk assessment is constructed on the basis of an ANP (Analytic Network Process). Compared with an existing method, the landslide hazard risk assessment method disclosed by the invention takes absolute weight as an index, the importance degree sorting of a dangerousness assessment factor and a vulnerability assessment factor and the optimized decision of a prevention and treatment scheme can be synchronously realized, the influence of the dangerousness assessment factor and the vulnerability assessment factor on the optimized decision of the prevention and treatment scheme can be comprehensively considered, and a scientific basis is provided for the composition of the hazard prevention and reduction system of the landslide hazard and the optimized decision of the prevention and treatment scheme. The method has the advantages of high applicability, high engineering value, good effect and the like.

Description

technical field [0001] The invention belongs to the field of geological disaster risk assessment and relates to a landslide disaster risk assessment method. Background technique [0002] my country's geological conditions are complex and tectonic activities are strong. Because 70% of the area is mountainous, landslides occur with high density and high frequency, causing serious damage. In recent years, with the rapid development of my country's economy and the vigorous advancement of the urbanization process, land will inevitably be developed and utilized on a larger scale. However, due to some unreasonable development and utilization methods, geological disasters that endanger human safety have been caused, such as landslide disasters. It has caused a serious threat to the construction of some mountainous cities in our country, and some cities have even been forced to relocate. [0003] It can be seen that the frequency and severity of landslide disasters are determined by ...

AI Technical Summary

Problems solved by technology

[0007] According to the research status at home and abroad, the landslide hazard risk assessment mainly includes risk assessment, vulnerability assessment, damage loss assessment, prevention and control engineering assessment, etc. There are still many problems to be solved. For example, the existing landslide disaster risk assessment methods are There are many kinds, the composition of the evaluation system is not complete, the division of goals is not clear enough, and the importance of each index is not distinguished, etc.

[0008] In landslide disaster practice engineering, it is necessary to consider several prevention and control options at the same time. The current method is mainly the Analytic Hierarchy Process (AHP), its English abbreviation is AHP, and the Analytic Hierarchy Process (AHP) cannot reflect the content of landslide disaster risk assessment. The feedback effect between them cannot simultaneously consider the influence of risk evaluation factors and vulnerability evaluation factors on the optimal decision-making of control programs

[0009] Analytic Network Process (ANP), its English abbreviation ANP, is a theoretical continuation of the Analytic Hierarchy Process (AHP). What is calculated by the Analytic Hierarchy Process (AHP) is only the relative weight, while the Analytic Network Process (ANP) ) calculates the absolute weight, and the network analysis method (ANP) can more accurately describe the connection between objective things, and is more suitable for the decision-making process of complex systems. In the scheme optimization decision-making, do not yet see the bibliography and the practical application of landslide disaster risk assessment method of the present invention

Images