Abstract: In order to clarify the correlation between various risk factors leading to chemical accidents,and prevent chemical accidents from happening,data mining and cleaning are done upon the collected investigation reports for 143 accidents happened between 2015 and 2019.From four main risk factors such as human factors,material factors,environmental factors,and management factors,26 types of sub-risk factors are identified.Gephi software is employed to establish a network model for causation of chemical accidents.Through analyzing the network scale and density,weighting degree,edge weight,clustering coefficient,and PageRank value,the overall characteristics of the model and the connections between nodes are studied,key nodes are identified,and the suggestions about future chemical management priorities and directions are provided.
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CHEN Quan, LI Xin-yu. Analysis on causation of chemical accidents based on complex network. Modern Chemical Industry, 2020, 40(S1): 12-15.
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