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广州某地下水污染场地监控自然衰减修复模拟

袁昊辰 张幼宽 梁修雨

袁昊辰, 张幼宽, 梁修雨. 广州某地下水污染场地监控自然衰减修复模拟[J]. 地质科技通报, 2023, 42(4): 268-278. doi: 10.19509/j.cnki.dzkq.tb20220434
引用本文: 袁昊辰, 张幼宽, 梁修雨. 广州某地下水污染场地监控自然衰减修复模拟[J]. 地质科技通报, 2023, 42(4): 268-278. doi: 10.19509/j.cnki.dzkq.tb20220434
Yuan Haochen, Zhang Youkuan, Liang Xiuyu. Modelling of groundwater remediation using monitored natural attenuation at a contamination site in Guangzhou[J]. Bulletin of Geological Science and Technology, 2023, 42(4): 268-278. doi: 10.19509/j.cnki.dzkq.tb20220434
Citation: Yuan Haochen, Zhang Youkuan, Liang Xiuyu. Modelling of groundwater remediation using monitored natural attenuation at a contamination site in Guangzhou[J]. Bulletin of Geological Science and Technology, 2023, 42(4): 268-278. doi: 10.19509/j.cnki.dzkq.tb20220434

广州某地下水污染场地监控自然衰减修复模拟

doi: 10.19509/j.cnki.dzkq.tb20220434
基金项目: 

国家重点研发项目 2019YFC803903

国家自然科学基金项目 41977165

国家自然科学基金项目 42172275

深圳市自然科学基金项目 JCYJ20190809142203633

广东省大学生"攀登计划"项目 pdjh2021c0037

详细信息
    作者简介:

    袁昊辰(2000—),男,现正攻读环境科学硕士学位, 主要从事地下水资源与环境方向的研究工作。E-mail: haochen.yuan@wur.nl

    通讯作者:

    梁修雨(1983—),男,助理教授,主要从事地下水资源与环境方向的研究工作。E-mail: liangxy@sustech.edu.cn

  • 中图分类号: X523

Modelling of groundwater remediation using monitored natural attenuation at a contamination site in Guangzhou

  • 摘要:

    监控自然衰减(MNA)作为一种成本低、不产生二次污染物、对污染场地环境影响较小的地下水污染修复方法, 具有较高的应用价值和发展前景, 值得实践与研究。选取广州某地下水污染场地作为研究区, 评价MNA修复方法的适用性。基于水文地质条件及污染现状分析, 运用地下水数值模拟程序MODFLOW建立了污染场地地下水流模型, 运用污染物迁移数值模拟程序MT3DMS建立了场地污染物迁移模型, 分别模拟了场地地下水流、主要污染物总石油烃(TPH)和重金属镍(Ni)的迁移过程。基于模型, 对比监控自然衰减和抽出处理与监控自然衰减结合的2种方案修复效果。结果表明, TPH和Ni对于Freundlich常数及Freundlich指数变化均较为敏感; TPH的自然衰减效果较好, 采用自然衰减方案, 经过850 d可由初始浓度1.52 mg/L衰减到修复目标值(0.3 mg/L); Ni衰减较慢, 适宜采用结合抽出处理的监控下自然衰减方案, 经过300 d可由初始浓度0.13 mg/L达到修复目标值(0.02 mg/L)。在自然衰减能力较强或地下水流速较缓的条件下, 适宜采用监控自然衰减修复方案; 在自然衰减能力较弱或地下水有显著流动的情况下, 适宜采用结合抽出处理的监控自然衰减修复方案。研究结果对地下水污染修复具有参考价值与借鉴意义。

     

  • 图 1  场地钻孔柱状图

    Figure 1.  Borehole logs of the field site

    图 2  场地及污染源分布图

    Figure 2.  Schematic diagram of field site and pollution sources

    图 3  场地概念模型

    Figure 3.  Schematic diagram of the conceptual model

    图 4  模拟的地下水位与观测水位对比(a)和校正后的地下水流场(b)

    Figure 4.  Comparison of modelling hydraulic head and observed hydraulic head (a), and the distribution of hydraulic head predicted by the calibrated model (b)

    图 5  不同参数条件下(Kf, λ1, a, aL)TPH污染羽随时间变化的空间分布

    Kf.Freundich常数(mg·L-1)-aa.Freundich指数; λ1.溶解相一级反应速度(d-1); aL.纵向弥散度(m);下同

    Figure 5.  Changes in the TPH plume with time for different parameters(Kf, λ1, a, aL)

    图 6  不同参数条件下(Kf, λ1, a, aL)北区Ni污染羽随时间变化的空间分布

    Figure 6.  Changes in the Ni (north) plume with time for different parameters(Kf, λ1, a, aL)

    图 7  不同纵向弥散度(αL)下南区Ni污染羽随时间变化的空间分布

    Figure 7.  Changes in the Ni (south) plume with time for different aL

    图 8  抽出处理下TPH和Ni污染羽随时间变化的空间分布(左)及污染源(右)穿透曲线

    Figure 8.  Changes in the TPH and Ni plume with time (left) and breakthrough of the pollution source (right) under pump and treat conditions

    表  1  校正后的地下水流模型参数

    Table  1.   Calibration parameters of the groundwater flow model

    参数名称 区域Ⅰ 区域Ⅱ 区域Ⅲ 区域Ⅳ
    水平渗透系数K/(m·d-1) 0.26 1.50 1.06 0.007 3
    地下水补给量W/(m·d-1) 0.000 67 0.000 97 0.000 67 0.000 67
    河流传导系数C/(m·d-1) 0.26
    下载: 导出CSV

    表  2  溶质运移模型参数

    Table  2.   Solute transport model parameters

    参数名称 总石油烃(TPH) 镍(Ni)
    土壤容重ρb/(kg·m-3) 1 500
    孔隙度ne/% 30
    纵向弥散系数Dy/(m2·d-1) 10 15 25 5
    纵向弥散度aL/m 1(区域Ⅰ) 1.5(区域Ⅱ) 1.5(区域Ⅲ) 0.5(区域Ⅳ)
    横向弥散度at/m 0.1(区域Ⅰ) 0.15(区域Ⅱ) 0.15(区域Ⅲ) 0.05(区域Ⅳ)
    Freundlich常数Kf/(mg·L-1)-a 5×10-6~1×10-3[21] 0.001~0.005[22]
    Freundlich指数a 0.5~1[21] 1.5~3.5[22]
    溶解相一级反应速率λ1/d-1 0.001~0.01[23] 1×10-7~1×10-5[24]
    吸附相一级反应速率λ2/d-1 0 0
    下载: 导出CSV

    表  3  参数敏感度分析取值

    Table  3.   Parameter sensitivity analysis value

    参数名称 污染物 取值1 取值2 取值3
    Freundlich常数
    Kf/(mg·L-1)-a
    总石油烃
    5×10-6
    1×10-3
    5×10-4
    3×10-3
    1×10-3
    5×10-3
    Freundlich指数a 总石油烃
    0.50
    1.50
    0.75
    2.50
    1.00
    3.50
    溶解相一级反应速率
    λ1/d-1
    总石油烃
    1×10-3
    1×10-7
    5×10-3
    1×10-6
    1×10-2
    1×10-5
    纵向弥散度aL/m 总石油烃
    镍(北部)
    镍(南部)
    0.20
    0.20
    1
    1
    1
    5
    5
    5
    10
    下载: 导出CSV

    表  4  监控条件下TPH源区域衰减情况

    Table  4.   Attenuation situation of the TPH source under monitoring

    模型参数 衰减比率/% 停留时间/d
    Kf/(mg·L-1)-a a λ1/d-1 aL/m 150 d 300 d 600 d
    0.000 5 0.75 0.005 1.0 24.66 43.44 70.28 800~850
    下载: 导出CSV

    表  5  监控条件下场地南北部Ni源区域衰减情况

    Table  5.   Attenuation situation of the Ni source under monitoring

    区域 模型参数 衰减比率/% 停留时间/d
    Kf/(mg·L-1)-a a λ1/d-1 aL/m 500 d 1 000 d 1 500 d
    北区 0.003 2.5 1×10-6 1.0 57.61 84.81 94.17 500~550
    南区 0.003 2.5 1×10-6 5.0 40.44 79.69 93.13 1 200~1 250
    下载: 导出CSV

    表  6  抽水井设置

    Table  6.   Settings of pumping wells

    污染物 井类型 井位置 处理时间/d 流量/(m3·d-1) 所需监控时间(原始停留时间)/d
    TPH 抽水井 污染源中心 0~100 -25 < 100(800~850)
    北区 Ni 抽水井 污染区域中轴线 0~100 -20 150~200(500~550)
    抽水井 污染区域中轴线 0~200 -20
    抽水井 污染区域中轴线 0~100 -20
    注水井 污染区域左外侧 0~100 10
    南区 Ni 抽水井 污染区域中轴线 0~100 -30 300~350(1 200~1 250)
    抽水井 污染区域中轴线 0~100 -50
    抽水井 污染区域中轴线 0~100 -40
    抽水井 污染羽传播方向 0~100 -30
    下载: 导出CSV
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  • 收稿日期:  2022-08-13
  • 录用日期:  2022-10-21
  • 修回日期:  2022-10-13

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