Geophysics Based Contaminant Mass Discharge Quantification Downgradient of a Landfill and a Former Pharmaceutical Factory

Nicola Balbarini*, Vinni Kampman Rønde, Pradip Maurya, Gianluca Fiandaca, Ingelise Møller, Knud Erik Klint, Anders V. Christiansen, Philip John Binning, Poul Løgstrup Bjerg

*Corresponding author for this work

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Abstract

Contaminant mass discharge is a commonly applied tool to evaluate the environmental impact of contaminated sites on water resources. At large contaminated sites with heterogeneous sources, such as landfills, the number of wells available is often not sufficient, leading to a high uncertainty of mass discharge estimates. In this study, we tackle the uncertainty of the contaminant mass discharge due to low sampling densities by interpolating limited water‐sample data with the support of surface Direct Current resistivity and Induced Polarization geophysical data. The method relies on finding a conceptual link between the bulk conductivity imaged from geophysics and the contaminant concentrations. We investigate the link between: 1) imaged bulk and electrical water conductivity, 2) water conductivity and conservative ionic species, 3) water conductivity and redox‐sensitive species, 4) water conductivity and semi‐persistent organic species, 5) water conductivity and biodegradable organic compounds. The method successfully identify similarities between the distribution of the bulk conductivity and chloride and pharmaceutical compounds in a landfill leachate plume and between the bulk conductivity data and benzene and chlorinated ethenes for a contaminant plume from a former pharmaceutical factory. Contaminant concentrations were interpolated through regression kriging, using geophysical data as the dependent variable. The distribution of concentration determined with the novel method showed a lower mean relative estimation error than the traditional method of kriging only contaminant concentration data. At large sites, the method can improve contaminant mass discharge estimates, especially if surface geophysical measurements are integrated in the site investigation at an early stage.
Original languageEnglish
JournalWater Resources Research
Volume54
Issue number8
Pages (from-to)5436-5456
ISSN0043-1397
DOIs
Publication statusPublished - 2018

Keywords

  • Contaminant mass discharge
  • Direct Current resistivity
  • Induced Polarization
  • Risk assessment
  • Uncertainty
  • Groundwater contamination

Cite this

Balbarini, Nicola ; Rønde, Vinni Kampman ; Maurya, Pradip ; Fiandaca, Gianluca ; Møller, Ingelise ; Erik Klint, Knud ; Christiansen, Anders V. ; Binning, Philip John ; Bjerg, Poul Løgstrup. / Geophysics Based Contaminant Mass Discharge Quantification Downgradient of a Landfill and a Former Pharmaceutical Factory. In: Water Resources Research. 2018 ; Vol. 54, No. 8. pp. 5436-5456.
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keywords = "Contaminant mass discharge, Direct Current resistivity, Induced Polarization, Risk assessment, Uncertainty, Groundwater contamination",
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Geophysics Based Contaminant Mass Discharge Quantification Downgradient of a Landfill and a Former Pharmaceutical Factory. / Balbarini, Nicola; Rønde, Vinni Kampman; Maurya, Pradip; Fiandaca, Gianluca; Møller, Ingelise; Erik Klint, Knud; Christiansen, Anders V.; Binning, Philip John; Bjerg, Poul Løgstrup.

In: Water Resources Research, Vol. 54, No. 8, 2018, p. 5436-5456.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Balbarini, Nicola

AU - Rønde, Vinni Kampman

AU - Maurya, Pradip

AU - Fiandaca, Gianluca

AU - Møller, Ingelise

AU - Erik Klint, Knud

AU - Christiansen, Anders V.

AU - Binning, Philip John

AU - Bjerg, Poul Løgstrup

PY - 2018

Y1 - 2018

N2 - Contaminant mass discharge is a commonly applied tool to evaluate the environmental impact of contaminated sites on water resources. At large contaminated sites with heterogeneous sources, such as landfills, the number of wells available is often not sufficient, leading to a high uncertainty of mass discharge estimates. In this study, we tackle the uncertainty of the contaminant mass discharge due to low sampling densities by interpolating limited water‐sample data with the support of surface Direct Current resistivity and Induced Polarization geophysical data. The method relies on finding a conceptual link between the bulk conductivity imaged from geophysics and the contaminant concentrations. We investigate the link between: 1) imaged bulk and electrical water conductivity, 2) water conductivity and conservative ionic species, 3) water conductivity and redox‐sensitive species, 4) water conductivity and semi‐persistent organic species, 5) water conductivity and biodegradable organic compounds. The method successfully identify similarities between the distribution of the bulk conductivity and chloride and pharmaceutical compounds in a landfill leachate plume and between the bulk conductivity data and benzene and chlorinated ethenes for a contaminant plume from a former pharmaceutical factory. Contaminant concentrations were interpolated through regression kriging, using geophysical data as the dependent variable. The distribution of concentration determined with the novel method showed a lower mean relative estimation error than the traditional method of kriging only contaminant concentration data. At large sites, the method can improve contaminant mass discharge estimates, especially if surface geophysical measurements are integrated in the site investigation at an early stage.

AB - Contaminant mass discharge is a commonly applied tool to evaluate the environmental impact of contaminated sites on water resources. At large contaminated sites with heterogeneous sources, such as landfills, the number of wells available is often not sufficient, leading to a high uncertainty of mass discharge estimates. In this study, we tackle the uncertainty of the contaminant mass discharge due to low sampling densities by interpolating limited water‐sample data with the support of surface Direct Current resistivity and Induced Polarization geophysical data. The method relies on finding a conceptual link between the bulk conductivity imaged from geophysics and the contaminant concentrations. We investigate the link between: 1) imaged bulk and electrical water conductivity, 2) water conductivity and conservative ionic species, 3) water conductivity and redox‐sensitive species, 4) water conductivity and semi‐persistent organic species, 5) water conductivity and biodegradable organic compounds. The method successfully identify similarities between the distribution of the bulk conductivity and chloride and pharmaceutical compounds in a landfill leachate plume and between the bulk conductivity data and benzene and chlorinated ethenes for a contaminant plume from a former pharmaceutical factory. Contaminant concentrations were interpolated through regression kriging, using geophysical data as the dependent variable. The distribution of concentration determined with the novel method showed a lower mean relative estimation error than the traditional method of kriging only contaminant concentration data. At large sites, the method can improve contaminant mass discharge estimates, especially if surface geophysical measurements are integrated in the site investigation at an early stage.

KW - Contaminant mass discharge

KW - Direct Current resistivity

KW - Induced Polarization

KW - Risk assessment

KW - Uncertainty

KW - Groundwater contamination

U2 - 10.1029/2017WR021855

DO - 10.1029/2017WR021855

M3 - Journal article

VL - 54

SP - 5436

EP - 5456

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 8

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