Study on Probability of Landslide Instability Based on Combination-Weighted Optimization Monte Carlo Method
In order to accurately analyze the stability state of K156+200～+800 landslide,a method of calculating and analyzing landslide instability probability based on combinator-weighted optimization Monte Carlo method is proposed.Aiming at the problem that there are many influencing factors in the analysis of landslide instability probability by single Monte Carlo method,this analysis method first uses AHP and CRITIC method to analyze the importance of the selected influencing factors of landslide stability,determines the subjective and objective weights of the influencing factors,and then uses the principle of minimum relative information entropy to calculate the combined weights of subjective and objective weights.The leading influence factors are screened according to the combined weight values.Finally,Monte Carlo method is used to randomly extract statistics on the leading influence factors and calculate the weighted instability probability of landslides.This analysis method avoids the disadvantage of single weighting of subjective and objective weights and optimizes the shortcomings of Monte Carlo method.It provides reference for calculating the probability of landslide instability and evaluating the stability of landslide reasonably,and has certain guiding significance.
landslide instability probabilitycombinatorial empowermentAHP methodCRITIC methodprinciple of minimum relative information entropy
万方数据
维普
