Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model

Previously conducted studies have established that as a disaster-bearing body, a coal mine is vulnerable to flood disasters and their consequent impacts. The purpose of this study is to put forward a quantitative evaluation method of the risk of coal mine flood disaster. Based on the scientific theory of disaster risk, a risk assessment model and index system for coal mine flood disaster was constructed, and a risk assessment method was proposed based on the projection pursuit and fuzzy cluster analysis. The results show that the risk of coal mine flood disaster was mainly determined by the hazard of disaster-causing factors, the stability of the disaster-prone environment, and the vulnerability of disaster-bearing bodies. Further research shows that the maximum daily rainfall had the greatest impact the risk of coal mine flood disaster. Therefore, the early warning mechanism should be established between the coal mine and the meteorological department to improve the fortification level. A risk assessment method of coal mine flood disaster was proposed in this study, which is of great significance for energy sustainability.

Automated summary

This study aims to propose a quantitative evaluation method of coal mine flood disaster risk. Based on a risk assessment model and index system, and using projection pursuit and fuzzy cluster analysis, the results show that the risk of coal mine flood disaster is mainly determined by the hazard of disaster-causing factors, the stability of the disaster-prone environment, and the vulnerability of disaster-bearing bodies. Further research indicates that the maximum daily rainfall has the greatest impact on the risk of coal mine flood disaster. This study proposes a risk assessment method that is of great significance for energy sustainability.