<p>Floods often lead to a series of disasters in mines, causing significant losses and impacts. By analyzing the chain evolution and risk characteristics of flood-induced coal mine disasters, we identify the disaster events in them and establish a disaster chain evolution model. Based on complex network theory, the flood-induced coal mine disaster chain is constructed and transformed into a complex network topology diagram. By analyzing parameters such as the degree value of each node and the vulnerability of each edge, 34 key nodes and 94 key edges of the disaster network are identified. Targeted chain-breaking disaster mitigation strategies are proposed, and the effect of chain-breaking disaster mitigation is evaluated. The results of the study show that (1) by destroying nodes with high proximity centrality, including industrial site burial, casualties, and sudden water flooding of wells, it helps to destroy the further evolution of the disaster. (2) By destroying nodes with high meso-centrality, including casualties, buried industrial sites, and collapsed houses, it can be used to cut off the propagation of the shortest path of the disaster. (3) Prioritize cutting off highly vulnerable edges to disrupt the topology of the entire network. (4) Formulate chain breaking strategies for important disaster nodes and edges in advance, which can achieve the purpose of chain breaking and disaster mitigation in a faster and better way.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Flood-induced coal mine disaster chain evolution and risk analysis

  • Chang Su,
  • Jiayi Ma,
  • Caiping Wang,
  • Jun Deng,
  • Weile Chen

摘要

Floods often lead to a series of disasters in mines, causing significant losses and impacts. By analyzing the chain evolution and risk characteristics of flood-induced coal mine disasters, we identify the disaster events in them and establish a disaster chain evolution model. Based on complex network theory, the flood-induced coal mine disaster chain is constructed and transformed into a complex network topology diagram. By analyzing parameters such as the degree value of each node and the vulnerability of each edge, 34 key nodes and 94 key edges of the disaster network are identified. Targeted chain-breaking disaster mitigation strategies are proposed, and the effect of chain-breaking disaster mitigation is evaluated. The results of the study show that (1) by destroying nodes with high proximity centrality, including industrial site burial, casualties, and sudden water flooding of wells, it helps to destroy the further evolution of the disaster. (2) By destroying nodes with high meso-centrality, including casualties, buried industrial sites, and collapsed houses, it can be used to cut off the propagation of the shortest path of the disaster. (3) Prioritize cutting off highly vulnerable edges to disrupt the topology of the entire network. (4) Formulate chain breaking strategies for important disaster nodes and edges in advance, which can achieve the purpose of chain breaking and disaster mitigation in a faster and better way.