某钼矿尾矿库地下水污染的随机模拟

为分析参数不确定性对地下水污染数值模拟模型输出结果的影响，以某钼矿尾矿库地下水污染问题作为研究实例，选取钼离子作为模拟因子，建立该钼矿尾矿库地下水污染数值模拟模型，对输出结果进行不确定性分析.为降低替代模型的维数，运用灵敏度分析法筛选出对模拟模型输出结果影响较大的2个参数作为模型中的随机参数.为减少反复调用数值模拟模型产生的计算负荷，分别运用克里格方法和支持向量机法建立模拟模型的替代模型，并比较二者的精度，选择精度较高的替代模型完成蒙特卡罗随机模拟.最后，对随机模拟的输出结果进行统计分析与区间估计，对地下水污染超标的风险进行评价.结果表明：置信度为80%时，井1，2，3浓度值的置信区间分别为0.71~2.29，0.28~1.02，1.55~3.25mg/L.此外，结合《地下水质量标准》以及污染物浓度分布函数曲线，井1，2，3中水质达到地下水质量标准Ⅴ类的概率分别为99.7%，97.1%，99.6%.本研究可为地下水污染防治提供更科学、全面的参考依据.

Stochastic simulation of the groundwater pollution in the molybdenum mine tailings pond

In order to analyze the effect of parameter uncertainty on the output of groundwater pollution numerical simulation model, in this paper, the groundwater pollution of amolybdenum mine tailings pond was taken as an example, the Mo²⁺ was selected as the simulation factor, the numerical simulation model of groundwater pollution of themolybdenum mine tailings pondwas established, the uncertainty analysis of the output resultswere carried out. In order to reduce the dimension of the substitution model, the sensitivity analysis method was used to filter out two parameters that have a greater impact on the output of the simulation model as random parameters in the model. In order toreduce the computational load from repeated calls to the numerical simulation model, the Kriging method and the Support Vector Machine method were used to establish asubstitutionmodel of the simulation model, and the accuracy of the two was compared, selecting a higher precisionsubstitution model to complete the Monte Carlo random simulation. Finally, the output results of the random simulation were analyzed and the interval estimation was carried out, to evaluate the risk of groundwater pollution exceeding the standard. The results show that when the confidence levelwas 80%, the confidence intervals of the concentration values of the well 1,2,3 were 0.71 to 2.29, 0.28 to 1.02, 1.55 to 3.25mg/L. In addition, combined with thestandard for groundwater quality and the contaminant concentration distribution function curves, the probability of the V class of water quality in well 1, 2, 3 to meet the standard for groundwaterqualitywas 99.7%, 97.1% and 99.6%. The study canprovide a more scientific and comprehensive reference for the prevention and control of groundwater pollution.