Simulation Model of Environmental Risk Accidents in Enterprise Production Units
Production unit is the smallest node for enterprise environmental risk prevention and control.Enterprises face numerous risk nodes with diverse attributes and cascading effects,leading to significant uncertainties in environmental risks and posing great challenges to preventing and controlling the sources of environmental risk incidents in enterprises.Traditional methods of quantitative assessment of enterprise environmental risks mainly focus on assessing the overall environmental risks of the enterprise,with insufficient granularity,lack of consideration for the complex accidents resulting from interactions between production units,lower accuracy in assessment results,and high assessment costs and inefficiencies.This study addresses the difficulties in clarifying the hierarchical accident risks within internal production units faced by enterprises in environmental risk prevention and control.By reviewing thousands of environmental risk incidents in key industries of concern,an innovative accident scenario and probability matrix considering scenarios of"mass incidents/chain incidents"is developed.Taking into account multidimensional factors such as the complex attributes of risk substances in enterprise production units,accident scenario characteristics,surrounding diffusion conditions,and environmental risk receptors,a comprehensive simulation model of the entire process of environmental risk incidents in enterprises is designed.This model automates the full chain simulation of environmental incidents in internal production units from scenario construction to accident damage results,which realizes quantitative assessment of environmental risks in enterprise production units,accurately identify high-risk nodes within the enterprise and enhance the capability of enterprise risk prevention and control.Finally,by comparing the results of real historical environmental incidents investigations,the high accuracy of the model simulation is verified.
NETL
NSTL
万方数据
