Remediation technology optimization for groundwater contamination of municipal solid waste landfill
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摘要: 结合国内外地下水污染场地的修复经验,综合考虑当地社会经济条件、地下水脆弱性、污染物特征等因素,采用层次分析法建立了修复技术优化指标体系;在此基础上运用多准则决策分析模型(MCDA)进行地下水污染修复技术优选排序,构建垃圾填埋场地下水污染修复技术筛选模型;并以湖北省某简易垃圾填埋场为例进行应用研究。结果表明:在备选的5种场地地下水修复技术(监测自然衰减技术、渗透反应格栅、多相抽提技术、抽出-处理技术、原位微生物修复技术)中,抽出-处理技术、原位微生物修复技术较为理想。综合考虑该污染场地条件、地下水污染治理要求及附近受体分布情况,得到最佳修复方案为:高污染风险区域采用抽出-处理技术和原位微生物修复技术组合;低污染风险区域采用监测自然衰减技术。
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关键词:
- 垃圾填埋场 /
- 地下水污染 /
- 修复技术 /
- 多准则决策分析(MCDA)
Abstract: Comprehensively considering local socio-economic conditions, groundwater vulnerability and pollutant characteristics and other factors, and learning from environmental remediation experience of domestic and foreign groundwater pollution sites, the analytic hierarchy process (AHP) method was used to establish the optimization index system of remediation technologies. Then a multi-criteria decision analysis (MCDA) model was adopted to sort the groundwater pollution remediation technologies, and establish a screening model of groundwater pollution remediation technologies. For this purpose, an applied research on a simple landfill site in Hubei Province was carried out. The results show that extraction treatment and in-situ microbial remediation technologies are more practical among the five alternative technologies of groundwater remediation applicable to this landfill site, including technologies of monitored natural attenuation, permeable reactive barriers (PRBs), multi-phase extraction (MPE), pump-and-treat systems (P & T) and in-situ microbial remediation. Based on the specific site conditions, groundwater pollution control requirements and distribution of nearby receptors of this landfill site, the optimal remediation scheme is determined as follows: P&T and in-situ microbial remediation technology should both apply to areas with risk of high pollution while the monitored natural attenuation technology should be adopted for areas with risk of low pollution. -
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