基于MCDA的沙漠地区污染场地地下水修复技术优化方法

张伯强; 安达; 王月; 梁欢欢; 周炼; 席北斗; 唐军

doi:10.12030/j.cjee.201603040

环境工程学报

基于MCDA的沙漠地区污染场地地下水修复技术优化方法

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张伯强, 安达, 王月, 梁欢欢, 周炼, 席北斗, 唐军. 基于MCDA的沙漠地区污染场地地下水修复技术优化方法[J]. 环境工程学报, 2016, 10(10): 5521-5527. doi: 10.12030/j.cjee.201603040

引用本文:

ZHANG Boqiang, AN Da, WANG Yue, LIANG Huanhuan, ZHOU Lian, XI Beidou, TANG Jun. Optimization methodology of groundwater remediation technologies of contaminated sites in the desert areas by multi-criteria decision analysis[J]. Chinese Journal of Environmental Engineering, 2016, 10(10): 5521-5527. doi: 10.12030/j.cjee.201603040

Citation:

ZHANG Boqiang, AN Da, WANG Yue, LIANG Huanhuan, ZHOU Lian, XI Beidou, TANG Jun. Optimization methodology of groundwater remediation technologies of contaminated sites in the desert areas by multi-criteria decision analysis[J]. Chinese Journal of Environmental Engineering, 2016, 10(10): 5521-5527. doi: 10.12030/j.cjee.201603040

基于MCDA的沙漠地区污染场地地下水修复技术优化方法

1.
中国环境科学研究院环境基准与风险评估国家重点实验室, 北京 100012
2.
中国环境科学研究院国家环境保护地下水污染过程模拟与控制重点实验室, 北京 100012
3.
东华理工大学水资源与环境工程学院, 南昌 330013
4.
上海大学环境与化学工程学院, 上海 200444
5.
重庆交通大学土木建筑学院, 重庆 400074
基金项目:
2015年全国地下水基础环境状况调查评估项目（144130012110302）
中图分类号: X523

Optimization methodology of groundwater remediation technologies of contaminated sites in the desert areas by multi-criteria decision analysis

1.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
2.
State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
3.
School of Water Resources and Environmental Engineering, East China Institute of Technology, Nanchang 330013, China
4.
School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
5.
School of Civil Engineering Architecture, Chongqing Jiaotong University, Chongqing 400074, China
Fund Project:

摘要: 针对近年来频频出现的污染企业向沙漠地区地下排污造成地下水污染这一问题，以腾格里沙漠地区某化工厂地下水污染为研究案例，提出适合沙漠地区地下水污染修复技术的优选方法。在综合考虑修复技术的经济、技术和社会效益基础上，利用层次分析法建立修复技术优化指标体系，运用多准则决策分析模型（multiple criteria decision analysis，MCDA）中的消去和选择转换法（ELECTREII）对修复技术组合进行优选排序，确定适合该地区的最优修复技术方案。结果表明，5种地下水修复备选技术中可渗透反应墙、抽出-处理、监测自然衰减技术较为理想，综合考虑该污染场地特征以及地下水治理要求，得出最佳修复方案为：对高污染浓度区域采用抽出-处理技术+可渗透反应墙技术联合修复；对于低污染区域采用监测自然衰减技术。该优化方法可为沙漠地区地下水污染修复技术的选取提供借鉴。
- 沙漠地区 /
- 地下水 /
- 修复技术 /
- 多准则决策分析
Abstract: Because of the ever-increasing problem of groundwater pollution in deserts caused by enterprises polluting underground drainages,the groundwater pollution by a chemical plant in the Tenggeli desert region was used as a case study to develop an optimization method suitable for technological remediation of groundwater pollution in desert areas.Based on comprehensive consideration of economic,technological,and social benefits of rehabilitation technology using an AHP to establish the index system and the elimination and transformation method (ELECTRE) in MCDA to prioritize combinations of repair technology,then the outranking relationships of different schemes were obtained,to determine the optimal solution.The results show that permeable reactive barriers (PRBs),pump ＆ treat (P＆T),and Monitored Natural Attenuation were the optimal of the five alternatives.Finally,considering the characteristics of the sites contaminated by the chemical plant and the groundwater management requirements,the best solution was to use P＆T+PRBs for joint repair in high pollution areas and monitored natural attenuation technology in low pollution areas.This optimization method provides a reference for selecting groundwater pollution remediation technologies in desert areas.
- desert area /
- groundwater /
- remediation technology /
- multi-criteria decision analysis

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基于MCDA的沙漠地区污染场地地下水修复技术优化方法

1. 中国环境科学研究院环境基准与风险评估国家重点实验室, 北京 100012
2. 中国环境科学研究院国家环境保护地下水污染过程模拟与控制重点实验室, 北京 100012
3. 东华理工大学水资源与环境工程学院, 南昌 330013
4. 上海大学环境与化学工程学院, 上海 200444
5. 重庆交通大学土木建筑学院, 重庆 400074

收稿日期: 2016-05-13

基金项目:

2015年全国地下水基础环境状况调查评估项目（144130012110302）

关键词:

摘要: 针对近年来频频出现的污染企业向沙漠地区地下排污造成地下水污染这一问题，以腾格里沙漠地区某化工厂地下水污染为研究案例，提出适合沙漠地区地下水污染修复技术的优选方法。在综合考虑修复技术的经济、技术和社会效益基础上，利用层次分析法建立修复技术优化指标体系，运用多准则决策分析模型（multiple criteria decision analysis，MCDA）中的消去和选择转换法（ELECTREII）对修复技术组合进行优选排序，确定适合该地区的最优修复技术方案。结果表明，5种地下水修复备选技术中可渗透反应墙、抽出-处理、监测自然衰减技术较为理想，综合考虑该污染场地特征以及地下水治理要求，得出最佳修复方案为：对高污染浓度区域采用抽出-处理技术+可渗透反应墙技术联合修复；对于低污染区域采用监测自然衰减技术。该优化方法可为沙漠地区地下水污染修复技术的选取提供借鉴。

English Abstract

Optimization methodology of groundwater remediation technologies of contaminated sites in the desert areas by multi-criteria decision analysis

1. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
2. State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
3. School of Water Resources and Environmental Engineering, East China Institute of Technology, Nanchang 330013, China
4. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
5. School of Civil Engineering Architecture, Chongqing Jiaotong University, Chongqing 400074, China

Received Date: 2016-05-13

Fund Project:

Keywords:

Abstract: Because of the ever-increasing problem of groundwater pollution in deserts caused by enterprises polluting underground drainages,the groundwater pollution by a chemical plant in the Tenggeli desert region was used as a case study to develop an optimization method suitable for technological remediation of groundwater pollution in desert areas.Based on comprehensive consideration of economic,technological,and social benefits of rehabilitation technology using an AHP to establish the index system and the elimination and transformation method (ELECTRE) in MCDA to prioritize combinations of repair technology,then the outranking relationships of different schemes were obtained,to determine the optimal solution.The results show that permeable reactive barriers (PRBs),pump ＆ treat (P＆T),and Monitored Natural Attenuation were the optimal of the five alternatives.Finally,considering the characteristics of the sites contaminated by the chemical plant and the groundwater management requirements,the best solution was to use P＆T+PRBs for joint repair in high pollution areas and monitored natural attenuation technology in low pollution areas.This optimization method provides a reference for selecting groundwater pollution remediation technologies in desert areas.

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基于MCDA的沙漠地区污染场地地下水修复技术优化方法

Optimization methodology of groundwater remediation technologies of contaminated sites in the desert areas by multi-criteria decision analysis

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基于MCDA的沙漠地区污染场地地下水修复技术优化方法

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Optimization methodology of groundwater remediation technologies of contaminated sites in the desert areas by multi-criteria decision analysis

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