首页|垃圾填埋场地下水环境定量风险评估方法与案例分析

垃圾填埋场地下水环境定量风险评估方法与案例分析

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通过对比填埋场地下水定性与定量风险评估方法,采用定量评估方法能很好量化污染物迁移过程,并介绍菲克定律和达西定律简化稀释模型及LandSim模型定量评估方法的基本理论,对某填埋场进行定量地下水环境风险评估.通过建立水文地质概念模型,采用基于菲克定律和达西定律的简化稀释模型定量评估浅层地下水,并基于LandSim概率风险评估模型定量评估深层地下水,将计算和预测结果与我国Ⅲ类地下水质量标准比较,得到各个受体潜在地下水污染风险;通过分析污染组分的变化趋势,得出在填埋场运行170~200a后,氨氮和氯化物在饮用水井处的预测浓度达到最大值,并远超我国Ⅲ类地下水质量标准,对填埋场地下水造成污染的概率最大.
Methodology of quantitative groundwater environmental risk assessment and a case analysis of a landfill site
By comparing qualitative and quantitative risk assessment methods for groundwater in landfill sites.The use of quantitative assessment methods allowed for a better quantification of pollutant migration processes.The article introduced the basic theories of the simplified dilution model of Fick's law and Darcy's law and the quantitative assessment method of the LandSim model,and conducted a quantitative groundwater environmental risk assessment for a certain landfill.The study established a hydrogeological conceptual model,quantitatively assessed shallow groundwater using a simplified dilution model based on Fick's Law and Darcy's Law,and quantitatively assessed deep groundwater using the LandSim probabilistic risk assessment model.The calculated and predicted results were compared with Level Ⅲ Standards for groundwater quality,resulting in the potential groundwater contamination risks for each receptor.Analyzing the trend of pollutant components led to the conclusion that after 170~200 years of landfill operation,the predicted concentrations of ammonia nitrogen and chloride reached their maximum at the drinking water wells,greatly exceeding the Level Ⅲ Standards for groundwater quality,making the probability of contaminating the groundwater under the landfill site greatest.

landfillgroundwater environmental risksLandSim modelprobabilistic risk assessmentgroundwater pollution

候少林、李婧、陈梦舫、李义连、韩璐、吴文卫、武文培、周源、李丽娜

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中国科学院南京土壤研究所,南京 210008

中国地质大学(武汉)环境学院,武汉 430078

江苏省污染场地土壤与地下水修复工程实验室,南京 210008

南京景鸿泽环境科技有限公司,南京 210000

云南省生态环境科学研究院,昆明 650034

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填埋场 地下水环境风险 LandSim模型 概率风险评估 地下水污染

云南省科技厅科技计划资助项目国家重点研发计划资助项目国家自然科学基金资助项目

202203AC1000012022YFC370310242277071

2024

环境工程学报
中国科学院生态环境研究中心

环境工程学报

CSTPCD北大核心
影响因子:0.804
ISSN:1673-9108
年,卷(期):2024.18(6)
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