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Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool

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Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool. / Terry, Neil; Day-Lewis, Frederick; Robinson, Judith et al.
In: Groundwater, Vol. 55, No. 6, 11.2017, p. 885-890.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Terry, N, Day-Lewis, F, Robinson, J, Slater, L, Halford, K, Binley, AM, Lane Jr, J & Werkema, D 2017, 'Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool', Groundwater, vol. 55, no. 6, pp. 885-890. https://doi.org/10.1111/gwat.12522

APA

Terry, N., Day-Lewis, F., Robinson, J., Slater, L., Halford, K., Binley, A. M., Lane Jr, J., & Werkema, D. (2017). Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool. Groundwater, 55(6), 885-890. https://doi.org/10.1111/gwat.12522

Vancouver

Terry N, Day-Lewis F, Robinson J, Slater L, Halford K, Binley AM et al. Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool. Groundwater. 2017 Nov;55(6):885-890. Epub 2017 May 23. doi: 10.1111/gwat.12522

Author

Terry, Neil ; Day-Lewis, Frederick ; Robinson, Judith et al. / Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool. In: Groundwater. 2017 ; Vol. 55, No. 6. pp. 885-890.

Bibtex

@article{b6bf90d9606f412bac401a7d74a262c7,
title = "Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool",
abstract = "Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, such as the appropriate depth intervals or resolution of the methods. The relationship between ERI data and resistivity is nonlinear; therefore, these limitations depend on site conditions and survey design and are best assessed through forward and inverse modeling exercises prior to field investigations. In this approach, proposed field surveys are first numerically simulated given the expected electrical properties of the site, and the resulting hypothetical data are then analyzed using inverse models. Performing ERI forward/inverse modeling, however, requires substantial expertise and can take many hours to implement. We present a new spreadsheet-based tool, the Scenario Evaluator for Electrical Resistivity (SEER), which features a graphical user interface that allows users to manipulate a resistivity model and instantly view how that model would likely be interpreted by an ERI survey. The SEER tool is intended for use by those who wish to determine the value of including ERI to achieve project goals, and is designed to have broad utility in industry, teaching, and research.",
author = "Neil Terry and Frederick Day-Lewis and Judith Robinson and Lee Slater and Keith Halford and Binley, {Andrew Mark} and {Lane Jr}, John and Dale Werkema",
year = "2017",
month = nov,
doi = "10.1111/gwat.12522",
language = "English",
volume = "55",
pages = "885--890",
journal = "Groundwater",
issn = "0017-467X",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool

AU - Terry, Neil

AU - Day-Lewis, Frederick

AU - Robinson, Judith

AU - Slater, Lee

AU - Halford, Keith

AU - Binley, Andrew Mark

AU - Lane Jr, John

AU - Werkema, Dale

PY - 2017/11

Y1 - 2017/11

N2 - Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, such as the appropriate depth intervals or resolution of the methods. The relationship between ERI data and resistivity is nonlinear; therefore, these limitations depend on site conditions and survey design and are best assessed through forward and inverse modeling exercises prior to field investigations. In this approach, proposed field surveys are first numerically simulated given the expected electrical properties of the site, and the resulting hypothetical data are then analyzed using inverse models. Performing ERI forward/inverse modeling, however, requires substantial expertise and can take many hours to implement. We present a new spreadsheet-based tool, the Scenario Evaluator for Electrical Resistivity (SEER), which features a graphical user interface that allows users to manipulate a resistivity model and instantly view how that model would likely be interpreted by an ERI survey. The SEER tool is intended for use by those who wish to determine the value of including ERI to achieve project goals, and is designed to have broad utility in industry, teaching, and research.

AB - Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, such as the appropriate depth intervals or resolution of the methods. The relationship between ERI data and resistivity is nonlinear; therefore, these limitations depend on site conditions and survey design and are best assessed through forward and inverse modeling exercises prior to field investigations. In this approach, proposed field surveys are first numerically simulated given the expected electrical properties of the site, and the resulting hypothetical data are then analyzed using inverse models. Performing ERI forward/inverse modeling, however, requires substantial expertise and can take many hours to implement. We present a new spreadsheet-based tool, the Scenario Evaluator for Electrical Resistivity (SEER), which features a graphical user interface that allows users to manipulate a resistivity model and instantly view how that model would likely be interpreted by an ERI survey. The SEER tool is intended for use by those who wish to determine the value of including ERI to achieve project goals, and is designed to have broad utility in industry, teaching, and research.

U2 - 10.1111/gwat.12522

DO - 10.1111/gwat.12522

M3 - Journal article

VL - 55

SP - 885

EP - 890

JO - Groundwater

JF - Groundwater

SN - 0017-467X

IS - 6

ER -