Landfill is the backing guarantee for the harmless treatment of hazardous waste,but the risk of leakage and pollution caused by accidental damage to the anti-seepage barrier will still pose a direct threat to the quality of the ecological environment and human health.so quantitative characterization of leakage risk is needed to guide scientific risk prevention and control.The numerical simulation(NS)and uncertainty analysis(UA)of groundwater pollution in leachate generation-leakage process are effective means to predict the risk of leakage,but the calculation method of the NS-UA is inefficient and expensive,which is not conducive to practical application and development.In this paper,a mathematical model for the whole process of leachate generation,leakage and migration is established,and combined with a deep learning method,the rapid and accurate assessment of groundwater pollution risk is realized.The specific research contents are as follows:(1)Systematically analyze the process of landfill leachate generation,leakage,migration and diffusion,establish a mathematical model to characterize the process of leachate generation and leakage,and further couple the mathematical model of groundwater flow and solute transport to construct a model for predicting landfill Mathematical model of groundwater pollution risk under landfill leakage scenarios.(2)The automatic solution program of the groundwater numerical model is realized based on the finite difference numerical solution method.At the same time,in order to solve the problem of low efficiency of parameter uncertainty analysis due to long numerical solution time,a numerical alternative model based on deep learning is established,and the learning efficiency of the alternative model is further improved by combining the idea of active learning.(3)Aiming at the programmed and visualized requirements of groundwater risk prediction,an environmental risk assessment system for seepage of hazardous waste landfills was constructed.The system includes the calculation of the whole process of leachate generation,leakage and migration and diffusion,which can predict the concentration of pollutants in groundwater and visualize the spatiotemporal diffusion process of pollutants.In the experimental part,hypothetical cases and actual cases were selected to verify the validity and reliability of the research system.The results show that the research system not only has higher analysis efficiency,but also the simulation accuracy meets the needs of practical applications.The risk assessment results can provide a scientific reference basis for the prevention and control of groundwater pollution. |