Earthquake disaster risk pre-assessment method

Abstract

Provided is an earthquake disaster risk pre-assessment method, which comprises the following steps: 1) extracting data about disaster-pregnant environment and hazard-affected bodies from new data sources of internet websites, social media and e-commerce; 2) analyzing characteristics in the data and dividing disaster grades into positive, middle and negative three grades, each grade being divided into 5 levels; and 3) result risk value= consequence value * exposure value* possibility / 50; and 4) according to the maximum membership degree principle, carrying out fuzzy comprehensive evaluation to obtain earthquake disaster grade levels. The method, fully taking multi-aspect influence factors of natural disasters into consideration, starting from big data, for the characteristics of the internet data and according to the data-centered principle, carries out grade division through a certain processing mode and constructs a risk grade system based on big data analysis, so that potential risk in data information can be found quickly, sustainable development of enterprises can be guaranteed favorably, decision efficiency is improved greatly, and key points are pointed out for the earthquake disaster prevention work.

Description

technical field [0001] The invention belongs to the technical field of Internet data prediction methods, in particular to an earthquake disaster risk prediction method. Background technique [0002] First of all, the current earthquake disaster risk assessment technology is basically based on the statistical analysis of historical data, selecting relevant factors, and determining the weight coefficient according to the degree of impact of typhoon disasters caused by various relevant factors, and finally constructing a comprehensive earthquake disaster risk zoning model. The results of risk zoning are obtained to achieve a risk zoning of historical earthquake disasters in a certain area. However, for business departments such as meteorology or government, it is more realistic to realize the prediction of possible disaster losses caused by future earthquakes. At present, the prediction of earthquake disasters is the disaster prediction between the earthquake and individual dis...

AI Technical Summary

Problems solved by technology

At present, the prediction of earthquake disasters is the disaster prediction between the earthquake and individual disasters such as house collapse, farmland flooding and direct economic loss. However, the prediction of the comprehensive severity of multi-index disasters that may be caused by earthquake disasters lack of effective methods

[0003] Secondly, in the risk assessment of earthquake disasters, the research on the risk assessment model of disaster-causing factors basically establishes the correlation between the magnitude measurement value generated by the earthquake and the disaster situation of the earthquake disaster, but they are also related to each other. There is a mutual influence relationship, and the combined action of these two factors may produce more serious earthquake disasters