Construction of a life cycle ecological environment risk control system for coal mines and application of the model

MA Haibo; XIAO Bo; LI Lin; MO Duosi; WANG Sen; WANG Tongtong; SHI Hui

doi:10.3969/j.issn.1002-9605.2025.09.017

Abstract：Coal is a major source of energy in China and around the world,and it plays a key role in the development of various industries.Coal mining has a long production chain with many links,and it is also accompanied by more environmental and production problems.Based on the theory of life cycle,the entire life cycle of the coal mining industry is divided into four stages according to the characteristics of production:preparation period,construction period,operation period,and closure period.Ecological environment risk factors in each stage are analyzed,and an ecological environment risk control system for the entire life cycle of coal mines is established.Environmental governance is transformed from passive response to active prevention,and the probability of ecological environment risks is reduced by improving the awareness of safe production and environmental protection in coal mines.The improved particle swarm optimization(IPSO)algorithm is used to optimize the BP neural network model to achieve accurate prediction of ecological environment risks.The results show that the use of the IPSO-BP neural network,trained on historical environmental data,improves the convergence speed and prediction accuracy of the model.Case studies of actual coal mine projects verify the effectiveness and applicability of the constructed system and model.The risk control system constructed in this study not only enhances the scientific and systematic nature of ecological environment risk control in coal mines,but also helps to achieve sustainable development goals.It provides an important theoretical basis and practical guidance for the coal mining industry to strike a balance between economic benefits and ecological protection.