摘要
针对抽出-处理技术修复污染地下水时抽水方案不合理导致修复成本高、修复效果差的问题,以我国北方某化工企业搬迁场地局部区域苯污染地下水为对象,通过GMS软件联合MGO（modular groundwater optimizer）程序对抽水方案进行模拟优化.结果表明：研究区地下水中检出ρ（苯）最大值为700μg/L,修复目标为100μg/L;自然降解条件下需1 740 d才能达到修复目标,降解缓慢.经过技术比选,选择抽出-处理技术快速修复该污染地下水.通过模拟-优化模型对抽出-处理技术中的抽水方案进行优化设计,结果显示,当抽水时间小于600 d时,出现水头疏干,无法进行抽出处理修复;当抽水时间在600-700 d范围内时,设计的抽水时间越长,达到修复目标所需的总抽水量越小,修复成本越低;当设计抽水时间超过700 d时,修复成本增加,1 500 d的抽水方案较700 d总抽水量增加了2.38×106m3.综合修复时间及修复成本分析,虽然抽水时间为700 d时抽水量最小,但相对于抽水时间为600 d的优化方案,其抽水量仅减少1.4%,经济性较差,因此推荐抽水时间采用600 d.
The design of a pumping scheme has a great impact on the cost and performance of groundwater remediation using the pumpand-treat technique. In order to improve the costeffectiveness of the technique,we took a chemical site in North China as an example,andoptimized the pumping scheme using the Groundwater Modeling System（ GMS） software in combination with the Modular Groundwater Optimizer（ MGO） program. Benzene was detected in the groundwater with the highest concentration of 700 μg/L,while the remediation goal was determined to be 100 μg/L by health risk assessment. The groundwater flow and solute transport models established by the GMS software revealed that it would take 1740 days for groundwater quality to meet the goal with natural attenuation. Therefore,thepump-andtreat technique was chosen to achievefaster remediation of the contaminated groundwater. GMS-MGO simulation results showed thatthe minimum pumping durationwas 600 d to avoid the well drying-up issue. Within the range of 600-700 d,the total extraction volume would decrease with the long pumpingduration. The cost would further increase when the pumping duration was above 700 d. For example,the totalvolumewith 1500 d was 2. 38 × 106m3 more than that of700 d. With the overall consideration of time and total cost,the recommended duration was determined to be 600 d in this case,as the extraction volume was only reduced by 1. 4% when the duration increased from 600 to 700 d.
出处
《环境科学研究》
EI
CAS
CSSCI
CSCD
北大核心
2016年第11期1608-1616,共9页
Research of Environmental Sciences
基金
国家环境保护公益性行业科研专项(201009009)
国家高技术研究发展计划(863)项目(2013AA06A207)
关键词
地下水污染
数值模拟
抽出处理
优化计算
GMS-MGO模型
contaminated groundwater
numerical modeling
pump and treat
optimization algorithm
GMS-MGO model
