含水层氯代烃污染原位生物修复系统优化设计研究  

Optimal design of in-situ bioremediation system for aquifer chlorinated hydrocarbons contamination

作　　者：孔志伟 骆乾坤[1] 赵梦 郭明 张勇[1] 顾永健 马雷[1] 钱家忠[1] KONG Zhiwei;LUO Qiankun;ZHAO Meng;GUO Ming;ZHANG Yong;GU Yongjian;MA Lei;QIAN Jiazhong(School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009)

机构地区：[1]合肥工业大学资源与环境工程学院,合肥230009

出　　处：《环境科学学报》2025年第3期211-220,共10页Acta Scientiae Circumstantiae

基　　金：国家重点研发计划(No.2022YFC3702200);国家自然科学基金项目(No.42372279);安徽省自然科学基金项目(No.JZ2022AKZR0451)。

摘　　要：对含水层氯代烃污染修复系统进行优化设计时,决策者往往需要同时考虑修复成本及修复效果等具有一定矛盾关系的管理目标.本研究基于多目标模拟-优化模型方法建立以最小化修复成本和最大化修复效果为目标函数的含水层氯代烃污染修复系统多目标优化模型;然后,将新建立的多目标优化模型与考虑含水层氯代烃污染自然衰减原位生物修复数值模型(Monod-Natural attenuation,M-Na)相耦合,建立含水层氯代烃污染原位生物修复系统多目标模拟-优化耦合模型,并采用多目标快速和谐搜索(MOFHS)算法对其进行求解,获得一系列满足修复效果要求的设计方案集;最后,采用Morris方法对孔隙度、渗透系数、弥散度、初始微生物含量进行参数全局敏感性分析.分析结果表明,影响算例修复方案的主控因素为含水介质孔隙度.研究成果可为含水层氯代烃污染修复方案优化设计工作提供理论和方法支撑.In the pursuit of optimizing the design of aquifer chlorinated hydrocarbons contamination remediation strategies,decision makers often confronted with the conflicting management objectives of remediation cost and effectiveness.In this study,a multi-objective optimization model for aquifer chlorinated hydrocarbons contamination remediation was established to minimize remediation cost while maximizing remediation effectiveness.Then,the newly established multi-objective optimization model is integrated with the numerical simulation model(Monod-Natural attenuation,M-Na)that accounts for the natural attenuation of chlorinated hydrocarbons in aquifer in-situ bioremediation remediation.This coupled model was solved using the multi-objective fast harmony search(MOFHS)algorithm to obtain a series of design schemes that meet the requirements of remediation effectiveness.Finally,a global sensitivity analysis was conducted on the factors such as porosity,permeability coefficient,initial microbial content,and dispersion coefficient,using Morris method.This analysis displays that porosity of the aquifer is the main controlling factors of optimization outcomes.The results of this study will provide theoretical and methodological support for the optimal design of aquifer chlorinated hydrocarbons contamination remediation programs.

关 键 词：地下水污染修复 氯代烃污染 生物修复 模拟-优化模型 全局敏感性分析 

分 类 号：X523[环境科学与工程—环境工程]