MGO软件在地下水污染抽出-处理方案优化中的应用

Application of MGO to optimal design of pump and treat system in groundwater contamination remediation

国内外用于地下水流和污染物运移的模拟软件很多,但用于地下水系统模拟优化的软件极少。在概略介绍一款模块化地下水模拟优化软件MGO基础上,利用该软件并选取遗传算法对美国犹他州某一地下水污染场地抽取-处理(pump and treat,PAT)系统的模拟优化模型进行求解,寻求最优动态抽水处理方案。结果表明:在优化后的动态管理策略下,管理期内PAT系统的总抽水量减小9.89%,使抽水成本和污染物处理成本相应减少,优化后的总成本较优化前减少11.27%。实例研究表明:MGO能够有效求解地下水PAT系统模拟-优化模型,可推广应用于大型场地条件下基于水力控制的地下水污染治理方案的优化实践。

There are many kinds of software for groundwater flow and contaminant transport modeling at home and abroad,but there is little software for simulation and optimization of groundwater system. Based on a brief introduction of a modular groundwater simulation optimization software MGO,this paper uses the software and selects the genetic algorithm to solve the simulation optimization model of a pump and treat（ PAT） system at a contaminated groundwater site in Utah,USA to determine the optimal dynamic pumping strategy. The result shows that under the optimized dynamic management strategy,the total pumping rate of PAT system is reduced by 9. 89 % during the management period,leading to a corresponding cost-saving up to 11. 27 %,for the operation of PAT system. The case study shows that the MGO can effectively solve the simulation-optimization model of groundwater PAT system and can be widely applied to optimization of groundwater contamination control scheme by hydraulic technology at large-scale.