An integrated stochastic-fuzzy modeling approach for the risk assessment of groundwater pollution

作者：Liang Jie; Xie Geng Xin; Zeng Guang Ming^*; Guo Sheng Lian; Li Xiao Dong; Shi Lin; Du Chun Yan; Cai Qing

来源：Journal of Hunan University(Natural Sciences), 2009, 36(6): 54-58.

• Chemical factory
• Contaminated groundwater
• Environmental risks
• Fuzzy attributes
• Fuzzy modeling
• Fuzzy uncertainties
• Risk levels
• Uncertainty

An integrated stochastic-fuzzy risk assessment model was developed to systematically quantify uncertainties. This model took into account both stochastic and fuzzy uncertainties associated with parameters. The environmental risk was defined as a combination of "vulnerability" and "hazard". Fuzzy attribute recognition method was used to classify the environmental risk. The model developed was applied to a manganese-contaminated groundwater system caused by the infiltration of manganic wastewater from the manganic residues of Lantian Chemical Factory in Huangxing County, Changsha. The risk levels of both "vulnerability" and "hazard" were divided into five categories of "high", "medium-to-high", "medium", "medium-to-low" and "low". The results have shown that the risk level belongs to "medium-to-low" and "low", which is significantly different with the risk level calculated with certainty models.

• 出版日期2009
• 单位湖南大学; 武汉大学