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Reciprocal analysis and error quantification of full-wave time-domain electrical resistivity and induced polarization measurements

Rossi, M. LU and Dahlin, T. LU orcid (2026) In Geophysical Journal International 247(1).
Abstract

SUMMARY: Measurement errors play a critical role in the reliability of geophysical imaging techniques, particularly in ill-posed and bad conditioned problems such as Electrical Resistivity Tomography (ERT). Experimental errors—such as high contact resistance, low signal levels and electromagnetic interference—can significantly introduce random and coherent noise in measurements. Reciprocal measurements, which involve switching current and voltage dipoles, offer a robust method for assessing data quality, though they are often time consuming in field and lab surveys. Error modelling commonly uses a single value of electrical resistance for each measurement point, limiting statistical reliability. Recent advances in instrumentation allow... (More)

SUMMARY: Measurement errors play a critical role in the reliability of geophysical imaging techniques, particularly in ill-posed and bad conditioned problems such as Electrical Resistivity Tomography (ERT). Experimental errors—such as high contact resistance, low signal levels and electromagnetic interference—can significantly introduce random and coherent noise in measurements. Reciprocal measurements, which involve switching current and voltage dipoles, offer a robust method for assessing data quality, though they are often time consuming in field and lab surveys. Error modelling commonly uses a single value of electrical resistance for each measurement point, limiting statistical reliability. Recent advances in instrumentation allow for the recording of full-waveforms of injected currents and measured potentials, enabling more sophisticated signal processing techniques. This study explores the use of reciprocal full-waveform analysis for data filtering and for enhancing the error estimation in time-domain ERT and induce polarization. Analysing the complete signal information can yield valuable insights into data quality, especially for surveys in urban and noisy environments.

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Please use this url to cite or link to this publication:
author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Electrical resistivity tomography (ERT), Fourier analysis, Induced polarization, Statistical methods
in
Geophysical Journal International
volume
247
issue
1
article number
ggag307
pages
13 pages
publisher
Oxford University Press
external identifiers
  • scopus:105047837462
ISSN
0956-540X
DOI
10.1093/gji/ggag307
project
Characterisation and monitoring of in-situ remediation of chlorinated hydrocarbon contamination using an interdisciplinary approach
language
English
LU publication?
yes
additional info
Publisher Copyright: © The Author(s) 2026. Published by Oxford University Press on behalf of The Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
id
7698dbbd-f230-40a5-967e-f4fe04d7b290
date added to LUP
2026-09-10 17:27:18
date last changed
2026-09-14 11:04:12
@article{7698dbbd-f230-40a5-967e-f4fe04d7b290,
  abstract     = {{<p>SUMMARY: Measurement errors play a critical role in the reliability of geophysical imaging techniques, particularly in ill-posed and bad conditioned problems such as Electrical Resistivity Tomography (ERT). Experimental errors—such as high contact resistance, low signal levels and electromagnetic interference—can significantly introduce random and coherent noise in measurements. Reciprocal measurements, which involve switching current and voltage dipoles, offer a robust method for assessing data quality, though they are often time consuming in field and lab surveys. Error modelling commonly uses a single value of electrical resistance for each measurement point, limiting statistical reliability. Recent advances in instrumentation allow for the recording of full-waveforms of injected currents and measured potentials, enabling more sophisticated signal processing techniques. This study explores the use of reciprocal full-waveform analysis for data filtering and for enhancing the error estimation in time-domain ERT and induce polarization. Analysing the complete signal information can yield valuable insights into data quality, especially for surveys in urban and noisy environments.</p>}},
  author       = {{Rossi, M. and Dahlin, T.}},
  issn         = {{0956-540X}},
  keywords     = {{Electrical resistivity tomography (ERT); Fourier analysis; Induced polarization; Statistical methods}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Oxford University Press}},
  series       = {{Geophysical Journal International}},
  title        = {{Reciprocal analysis and error quantification of full-wave time-domain electrical resistivity and induced polarization measurements}},
  url          = {{http://dx.doi.org/10.1093/gji/ggag307}},
  doi          = {{10.1093/gji/ggag307}},
  volume       = {{247}},
  year         = {{2026}},
}