| 粤港澳大湾区典型化工场地苯系物污染特征及迁移规律 |
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| 引用本文： | 邓一荣,陆海建,董敏刚,程洲,庄长伟,肖荣波,钟音,彭平安.粤港澳大湾区典型化工场地苯系物污染特征及迁移规律[J].环境科学,2019,40(12):5615-5622. |
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| 作者姓名： | 邓一荣 陆海建 董敏刚 程洲 庄长伟 肖荣波 钟音 彭平安 |
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| 作者单位： | 中国科学院广州地球化学研究所, 有机地球化学国家重点实验室, 广州 510640;广东省环境科学研究院, 广东省污染场地环境管理与修复重点实验室, 广州 510045;中国科学院大学, 北京 100049,广东省环境科学研究院, 广东省污染场地环境管理与修复重点实验室, 广州 510045,广东省环境科学研究院, 广东省污染场地环境管理与修复重点实验室, 广州 510045,广东省环境科学研究院, 广东省污染场地环境管理与修复重点实验室, 广州 510045,广东省环境科学研究院, 广东省污染场地环境管理与修复重点实验室, 广州 510045,广东省环境科学研究院, 广东省污染场地环境管理与修复重点实验室, 广州 510045;广东工业大学环境科学与工程学院, 广州 510006,中国科学院广州地球化学研究所, 有机地球化学国家重点实验室, 广州 510640,中国科学院广州地球化学研究所, 有机地球化学国家重点实验室, 广州 510640 |
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| 基金项目： | 国家重点研发计划项目（2018YFC1800806，2018YFC1800205，2018YFC1801403）；国家自然科学基金项目（41601616）；有机地球化学国家重点实验室开放基金项目（SKLOG-201618）；广东省重大科技专项（2016B020240008） |
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| 摘 要： | 以粤港澳大湾区某典型化工污染场地为例,共采集了247个土壤样品和20个地下水样品,探讨了场地苯系物的污染分布特征,利用GMS分别从水平和垂直方向模拟分析了该场地苯系物在土壤与地下水的污染迁移扩散规律.结果表明,场地土壤样品中苯、乙苯、间,对-二甲苯、邻-二甲苯超筛选值,其中苯系物超筛选值的土壤样品主要集中在0. 5～4 m深度范围;地下水样品中苯、乙苯、间,对-二甲苯和邻-二甲苯超标较严重,最大超标倍数分别为140. 00、101. 33、212. 00和103. 40倍,主要分布在浅层地下水.地下水中的苯污染物在水平方向主要以对流/弥散运移方式从西北往东南方向迁移,而在垂向上浮苯主要集中在地下水面处,溶解态苯主要在水动力作用下迁移.模拟验证分析结果表明,MT3D模型能较准确地反映场地苯系物的空间分布和迁移特征,可为粤港澳大湾区化工类污染场地的精准化管控与修复提供科学指导.
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| 关 键 词： | 污染场地 苯系物 空间分布 地下水 污染物迁移 |
| 收稿时间： | 2019/6/28 0:00:00 |
| 修稿时间： | 2019/9/8 0:00:00 |
Pollution Characteristics and Migration of BTEX at a Chemical Contaminated Site in the Guangdong-Hong Kong-Macau Greater Bay Area |
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| DENG Yi-rong,LU Hai-jian,DONG Min-gang,CHENG Zhou,ZHUANG Chang-wei,XIAO Rong-bo,ZHONG Yin and PENG Ping-an.Pollution Characteristics and Migration of BTEX at a Chemical Contaminated Site in the Guangdong-Hong Kong-Macau Greater Bay Area[J].Chinese Journal of Environmental Science,2019,40(12):5615-5622. |
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| Authors: | DENG Yi-rong LU Hai-jian DONG Min-gang CHENG Zhou ZHUANG Chang-wei XIAO Rong-bo ZHONG Yin and PENG Ping-an |
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| Institution: | State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China;Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China;University of Chinese Academy of Sciences, Beijing 100049, China,Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China,Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China,Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China,Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China,Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China;School of Environment Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China,State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China and State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China |
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| Abstract: | In this study, we analyzed 247 soil and 20 groundwater samples from a typical chemical site in the Guangdong-Hong Kong-Macau Greater Bay Area and simulated the solute transport of pollutant benzene with the GMS software, in order to reconstruct the distribution and migration mechanism of benzene series (BTX) pollutants. The detected concentrations of benzene, ethylbenzene, m,p-xylene, and o-xylene exceeded the screening values in some soil and groundwater samples, indicating that the pollution of BTX in shallow groundwater was serious. Our simulation indicated an elliptical flow of benzene in groundwater (from northwest to southeast), mainly through convection, dispersion, and molecular diffusion. Along the vertical direction, the BTX was mainly distributed in the form of floating benzene, and some of the constituents were dissolved in the groundwater. Due to hydrodynamic mechanisms, the dissolved benzene tended to migrate faster and had hence a greater impact on the downstream groundwater. Through the model validation and analysis, we obtained a linear fitting correlation coefficient (R2) of 0.995 between the simulated and actual monitoring values, which indicates a good agreement between these two sets of data. The model had a high prediction accuracy, and could hence accurately determine the migration and distribution characteristics of benzene. Therefore, it provides a scientific basis for the accurate control and remediation of chemical contaminated sites in the Guangdong-Hong Kong-Macao Greater Bay Area. |
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| Keywords: | contaminated site benzene series spatial distribution underground water pollutant migration |
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