Leachate detection via statistical analysis of electrical resistivity and induced polarization data at a waste disposal site (Northern Israel)

Frid, Vladimir; Sharabi, Itay; Frid, M.; Averbakh, Arie

doi:10.1007/s12665-017-6554-4

Cited by 18 publications

(9 citation statements)

References 54 publications

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“…The electrical water conductivity depends on the concentration of ions in the water, i.e., the electrical water conductivity and ionic strength are positively correlated (Appelo & Postma, ). This provides a link between the bulk conductivity imaged through the DCIP data and the concentration of ionic compounds in groundwater, as has previously been described for geophysical mapping of landfill leachate plumes rich in inorganic compounds (e.g., Chambers et al, ; Frid et al, ; Maurya et al, ; Ogilvy et al, ).…”

Section: Methodsmentioning

confidence: 72%

“…Surface‐based geophysical electrical methods, such as direct current resistivity and induced polarization (DCIP), are particularly suitable for investigations at large contaminated sites, where many boreholes would be needed to obtain a sufficiently high sampling density. Resistivity methods have been successfully applied at landfill sites for plume detection (e.g., Chambers et al, ; Frid et al, ; Maurya et al, ; Ogilvy et al, ), because the landfill leachate plume often has a high inorganic ion content (Christensen et al, ). Maurya et al () was able to show a qualitatively relationship between the resistivity in the plume and the ionic strength measured in the boreholes, but no quantitative relationship was presented.…”

Section: Introductionmentioning

confidence: 99%

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

Balbarini

Rønde

Maurya

et al. 2018

Water Resources Research

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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 semipersistent organic species, and (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.

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Section: Methodsmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

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

Balbarini

Rønde

Maurya

et al. 2018

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…The ambiguities can be reduced or avoided through IP measurements, which are widely used in studies on marine intrusions and the salinisation of aquifers [42][43][44][45][46][47][48][49]. However, IP measurements have also been applied in recent studies of organic fluid pollution with nonaqueous phases, with the results being rather variable and, in some cases, unsatisfactory [50][51][52][53][54][55][56].…”

Section: Introductionmentioning

confidence: 99%

Different Processing of Time-domain-induced Polarisation: Application for Investigating the Marine Intrusion in the SE Iberian Peninsula

Díaz-Curiel¹,

Biosca²,

Arévalo-Lomas³

et al. 2022

Preprint

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This study presents the developments regarding the time-domain-induced polarisation method, as a supporting tool for resistivity soundings during investigations of coastal detrital aquifers that are salinised by marine intrusion. The interpretation of resistivity measurements in such aquifers, which have variable hydrochemistry and lithology, involves uncertainties owing to the presence of low-resistivity lithologies, such as clays. To reduce these uncertainties, the use of other geophysical parameters is necessary; hence, this study focuses on induced polarisation, since it can be measured simultaneously with resistivity. In detail, we propose the determination of induced polarisation using 1D techniques, while developing a different algorithm for processing the induced polarisation data. The aim is to extend the results of this phenomenon, using instead of chargeability, the concepts of polarisability and decay time, which are extracted from the decay curve, given that they represent more intrinsic properties of the various analysed subsurface media. We present results obtained by applying this methodology to a Quaternary aquifer of the Costa del Sol in the SE Iberian Peninsula (in the province of Almería) during two different campaigns, one before and one after winter (i.e., in October and February, respectively). The results reveal the position of the saline front during each campaign, while reflecting the seasonal movement of the marine intrusion.

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“…The potentials of geophysical method has been highly relevant in subsurface investigations (Vladimir et al, 2017). This may not be unconnected to its non-invasive/non-destructive, less risky and cost-effective unique attributes (Mogaji et al, 2015b;Olayanju et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

Mogaji

Omobude

2017

NRIAG Journal of Astronomy and Geophysics

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Modeling of groundwater potentiality zones is a vital scheme for effective management of groundwater resources. This study developed a new multi-criteria decision making algorithm for groundwater potentiality modeling through modifying the standard GOD model. The developed model christened as GODT model was applied to assess groundwater potential in a multi-faceted crystalline geologic terrain, southwestern, Nigeria using the derived four unify groundwater potential conditioning factors namely: Groundwater hydraulic confinement (G), aquifer Overlying strata resistivity (O), Depth to water table (D) and Thickness of aquifer (T) from the interpreted geophysical data acquired in the area. With the developed model algorithm, the GIS-based produced G, O, D and T maps were synthesized to estimate groundwater potential index (GWPI) values for the area. The estimated GWPI values were processed in GIS environment to produce groundwater potential prediction index (GPPI) map which demarcate the area into four potential zones. The produced GODT model-based GPPI map was validated through application of both correlation technique and spatial attribute comparative scheme (SACS). The performance of the GODT model was compared with that of the standard analytic hierarchy process (AHP) model. The correlation technique results established 89% regression coefficients for the GODT modeling algorithm compared with 84% for the AHP model. On the other hand, the SACS validation results for the GODT and AHP models are 72.5% and 65%, respectively. The overall results indicate that both models have good capability for predicting groundwater potential zones with the GIS-based GODT model as a good alternative. The GPPI maps produced in this study can form part of decision making model for environmental planning and groundwater management in the area.

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Leachate detection via statistical analysis of electrical resistivity and induced polarization data at a waste disposal site (Northern Israel)

Cited by 18 publications

References 54 publications

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

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

Different Processing of Time-domain-induced Polarisation: Application for Investigating the Marine Intrusion in the SE Iberian Peninsula

Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

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