It is difficult to assess the underground water environment risk because of high dimensionality and uncertainty of the underground water system. To improve assessment accuracy and rationality and realize the scientific management of underground water, DS evidence theory is applied in the risk assessment of the underground water environment in the paper. Meanwhile, the variable fuzzy sets theory is utilized to construct the distribution of basic belief of the evidence theory, realizing modeling with objective and rational evidence. Finally, the typical combination principle is utilized to perform the evidence combination. With the case of surrounding area of Xinier reservoir, the belief range is [0,0. 33], the likelihood range is [0,0. 35] and the uncertainty is 0. 02 when the risk of the underground water environment is at medium. Based on the judgment rules, the risk degree of the underground water environment of the studied region is at medium. The study presents that this method enables to incorporate data of all aspects of the underground water environment as well as to handle uncertainty in risk as-sessment, realizing the accurate assessment of the risks of the underground water environment.%地下水系统的高维性和不确定性,给地下水环境风险评价带来较多困难,为提高评价的准确性和合理性,实现地下水的科学管理,该文将DS证据理论应用到地下水环境风险评价中,同时利用可变模糊集理论来构造证据理论基本信任分配,实现了客观合理的证据建模,最后利用经典组合原理进行证据组合。以希尼尔水库周边区域为例,地下水环境风险为中等时的信任区间为[0,0.33],似然区间为[0,0.35],不确定大小为0.02,根据判断规则,确定研究区地下水环境风险等级为中等。结果表明,该方法能够较好地融合地下水环境各方面信息以及处理风险评价中的不确定性,实现了地下水环境风险的准确评价。
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