基于未确知测度模型的稀土原地浸矿地下水污染风险评价

通过识别原地浸矿地下水污染风险因子，建立了基于未确知测度理论的原地浸矿地下水污染风险评价模型，运用信息熵理论确定评价指标的权重，采用置信度识别准则来评价地下水污染的风险等级，选取了pH值、溶解性固体（COD）、硫酸盐、氯化物、高锰酸钾指数、硝酸盐、氨氮、氟化物、六价铬、收液巷道母液监控收液系统、水平孔监控收液系统、垂直孔监控收液系统、气象系统日降雨量和月累计雨量等14项三级指标作为未确知测度模型的判别指标，对国内某稀土原地浸矿前、浸矿中、浸矿后以及私采矿区分别进行了地下水污染风险评价，评价结果与该矿山的实际情况较吻合.研究结果表明，模型指标选择合理，未确知测度模型运用合理，该模型具有一定的实际运用价值，为稀土原地浸矿地下水污染风险提供了较好的评价方法. 

Groundwater pollution risk assessment based on unascertained measure model for rare earth in situ leaching

By identifying the risk factors of in-situ immersion groundwater pollution, a risk assessment model for in-situ immersion groundwater pollution based on the unascertained measure theory was established. The information entropy theory was used to determine the weight of the evaluation index, and the confidence identification criteria were used to evaluate the groundwater pollution Risk level. which included 14 major factors, such as the pH value, dissolved solid (COD), sulfate, chloride, Permanganate index, nitrate, ammonia nitrogen, fluoride, six valence chromium, the monitoring and collecting system for the mother liquid of the tunnel receiving liquid, horizontal hole monitoring and receiving system and vertical hole monitoring and collecting liquid, daily rainfall of meteorological system and monthly cumulative rainfall. Then, the unascertained measure function of the index was obtained, the weight of the evaluation index was determined by the information entropy theory, and according to the credible recognition criteria, the risk assessment of groundwater pollution was carried out before mining, leaching, mining and private mining areas. The evaluation results are in good agreement with the actual situation of the mine. The study shows that the selection of model indexes was reasonable and the unascertained measure model was reasonable. The model has certain practical application value.