Study On Risk Assessment Of Debris Flow

Debris flows are ubiquitous often sudden onset natural disasters in mountain areas around the world. Especially like our country which has numerous mountain areas provide an ideal place for debris flow formation and development. Particularly in recent years, with the rapid development of science and technology and economic levels steadily increased, people’s mobility and activity level continues to increase, human intervention in the natural environment has become increasingly intense. Geology, topography and water these three basic elements of nature in the catalytic human disturbance factors, contributed to the frequent occurrence of debris flow. As we all know, debris flow oncoming certainly extraordinarily rapid when it once formed, one can imagine the size of its destructive power, often causing serious damage to people’s lives and property safety, and social infrastructure occurrence area. Divided into categories of debris flow is conducive to grasp the main factors affecting of its formation, this facilitate researchers conducted in-depth research of debris flow and the development of debris flow forecasting techniques.In this paper, the importance of influencing factors of landslides mudslides categories can be distinguished as a starting point, the principle of using fuzzy C-means clustering and principal component analysis method combining the determination to achieve the type of debris flow. Optimal number of clusters based on clustering validity principle that the best classification number mudslides sample data, and then the clustering results considered by the Fuzzy C-means clustering method. Each type of debris flow analysis to obtain various influencing factors for the contribution of samples, namely from major influencing factors on the basis of the principal component. Then summarize the main influencing factors, qualitative description of each type of landslides, mudslides and ultimately to the classification, and to provide scientific and rational basis for the development of targeted preventive measures debris flow monitoring and further research.In this paper, the efficiency coefficient method can be fairly and objectively to landslides such complex multi-variable problems risk classification for risk assessment study as a starting point. Classification method based on analysis of landslides main influencing factors, selecting appropriate evaluation factors and calculate the effectiveness of individual sample values of each index series. Maximize the use of a combination of empowerment principles variance right AHP weight values and entropy method weights science combine both subjective and objective factors get comprehensive weight then further calculate the total effectiveness coefficient. Finally, with reference to classification rules to get debris flow hazard level, the likelihood of occurrence is to judge the size to provide a scientific basis for early warning and forecasting.This article will mudslides and debris flow hazard classification grading method as a set of two main modules together to form a debris flow hazard assessment and early warning software. Preprocessing software data to get the best number of clusters, showing clustering results and key influencing factors, weight calculations, such as the risk level of access to the various steps of the main functions. And according to the risk level of the corresponding alarm mudslides, landslides remind researchers enough attention to the appropriate state, to achieve early warning of the danger of landslides.