【作者】 云文泽；

【导师】 黄国和；

【作者基本信息】 华北电力大学（北京） ， 环境工程， 2011， 硕士

【摘要】 针对不确定性条件下地下水污染物迁移转化的模拟和预测,本文提出一个改进分式模糊模拟(Modified Fractional Fuzzy Simulation,简称MFFS)方法用于预测在自然衰减条件下的含水层中甲苯和氧浓度。该方法将地下水污染物迁移模型、模糊参数分析集成为基本框架。与传统的分式模糊模拟比较,该方法减少了模糊参数的中间点,因此也减少了模拟时间。将该方法应用于中国北京平谷地区的含水层,其中有三个参数(纵向弥散度、水力传导系数和给水度)为模糊集。从污染地区的模拟结果可知不同的输入参数在不同时间和模糊截集水平都有不同的影响。同时根据自然衰减条件下模拟所得到的地下水甲苯和氧浓度分布,分别对该区域地下水进行P&T方案以及P&T和原位生物修复联用方案的水质模拟,在取得较好的修复效果的同时,也验证了MFFS的实用性。研究结果表明在不确定性条件下,MFFS方法不仅在地下水场地模拟过程中十分有效,同时也能够为风险评价、修复工程设计以及过程控制提供坚实的技术支持。更多还原

【Abstract】 Uncertainties have been found to widely exist in contaminant fate and transport in groundwater systems. Therefore, this study aims to propose a modified fractional fuzzy simulation (MFFS) method to predict the uncertainty in toluene and oxygen concentrations in groundwater systems under microbial attenuation conditions. The method integrates contaminant fate and transport models and fuzzy parameters analysis within a general framework. Compared to the conventional fractional fuzzy simulation (FFS), fewer interior points of fuzzy parameters can be used, thus reducing the simulation time. The method is applied to an aquifer of the Pinggu site in Beijing, China, where three parameters (longitudinal dispersivity, hydraulic conductivity and storage coefficient) are represented as fuzzy sets. According to the spatial-temporal distributions of toluene and oxygen concentrations, this study proposes two remediation systems: pump and treat (P&T) and in-situ bioremediation. In terms the MFFS results, both the two remediation systems demonstrate a good effect on toluene removal. It is thus indicated that the method is useful for not only groundwater simulation, but also risk assessment, remediation design and process control under complex parameter uncertainty.更多还原