1887
Volume 17, Issue 5
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

An algorithm is proposed for the interpretation of resistivity data that allows the 3D parameters (the boundary in plan view and the depth range) of an anomalous resistivity object in a heterogeneous medium to be determined. The proposed method is based on a vector analysis of the apparent resistivity of soil obtained by a pole–pole survey within the measurement window. In the first stage of the algorithm, in each measurement window, the radius vector is calculated, and as a result, vector images of the main directions of change in the resistivity of the medium are constructed. This allows us to estimate the location of a local anomalous object and to correlate the resistivity of the object with that of the background medium. With a consistent variation in the effective depth of investigation, a set of vector images is formed that characterizes the apparent resistivity distribution in the soil layers. Mathematical analysis of the vector images by using the scalar product allows us to estimate the depth range of the anomalous object. The effectiveness of the proposed algorithm has been proven on synthetic models and in comprehensive investigations of archaeological sites. The proposed method does not allow the true resistivity of an anomalous object to be determined, which is a disadvantage. However, this simple algorithm for processing and analysing shallow electrical prospecting data can be directly used at the preliminary data processing stage during a field survey. First, a pole–pole array can be rapidly operated by a single person; second, the user does not need special knowledge in the field of electrical resistivity data processing. The estimated 3D boundaries of local objects will make it possible to determine the area of interest for further detailed surveying and to justify all the parameters of the measurement technique (distance between electrodes, depth range etc.).

Loading

Article metrics loading...

/content/journals/10.1002/nsg.12065
2019-09-13
2024-03-29
Loading full text...

Full text loading...

References

  1. AlekseyevV., ZhurbinI., MalyuginD.1996. Multi‐grid electrometry in the survey of archaeological remains. Archaeological Prospection3, 219–229.
    [Google Scholar]
  2. AratoA., PiroS. and SambuelliL.2015. 3D inversion of ERT data on an archaeological site using GPR reflection and 3D inverted magnetic data as a priori information. Near Surface Geophysics13, 545–556.
    [Google Scholar]
  3. CandansayarM.E. and BasokurA.T.2001. Detecting small‐scale targets by the 2D inversion of two‐sided three‐electrode data: application to an archaeological survey. Geophysical Prospecting49, 13–25.
    [Google Scholar]
  4. DahlinT. and LokeM.H.1997. Quasi‐3D resistivity imaging‐mapping of three‐dimensional structures using two‐dimensional DC resistivity techniques. Proceedings of the 3rd Meeting of the Environmental and Engineering Geophysical Society, 143–146.
    [Google Scholar]
  5. EdwardsL.S.1977. A modified pseudosection for resistivity and induced polarization. Geophysics42, 1020–1036.
    [Google Scholar]
  6. FarquharsonC.G. and OldenburgD.W.1998. Nonlinear inversion using general measures of data misfit and model structure. Geophysical Journal International134, 213–227.
    [Google Scholar]
  7. GambettaM., ArmadilloE., CarmiscianoC., StefanelliP., CocchiL. and Caratori TontiniF.2011. Determining geophysical properties of a nearsurface cave through integrated microgravity vertical gradient and electrical resistivity tomography measurements. Journal of Cave and Karst Studies73, 11–15.
    [Google Scholar]
  8. IvanovA.G., IvanovaM.G., OstaninaT.I. and ShutovaN.A.2004. Archaeological map of northern Udmuria. Udmurt Institute of History, Language, and Literature, Ural branch, Russian Academy of Science (in Russian), Izhevsk, Russia.
    [Google Scholar]
  9. JacksonP.D., EarlS.J. and ReeceG.J.2001. 3D resistivity inversions sing 2D measurements of the electric field. Geophysical Prospecting49, 26–39.
    [Google Scholar]
  10. LokeM.H.2011. Rapid 3D Resistivity and IP Inversion Using the Least‐Squares Method: Geoelectrical Imaging 2D and 3D, p. 91. Geotomo Software, Malaysia.
    [Google Scholar]
  11. LokeM.H.2019. Tutorial: 2‐D and 3‐D Electrical Imaging Surveys. Geotomo Software Sdn Bhd, Malaysia.
    [Google Scholar]
  12. LokeM.N. and BarkerR.D.1996. Rapid least‐squares inversion of apparent resistivity pseudosections by a quasi‐Newton method. Geophysical Prospecting44, 131–152.
    [Google Scholar]
  13. LokeM.H. and DahlinT., 2010. Methods to Reduce Banding Effects in 3‐D Resistivity Inversion. Near Surface 2010 – 16th European Meeting of Environmental and Engineering Geophysics 6–8 September 2010, Zurich, Switzerland, A16.
  14. MacLennan Kristopher . 2013. Methods for addressing noise and error in controlled source electromagnetic data. Mines Theses and Dissertations. Digital Collections of Colorado.
  15. MilsomJ.2003. Field Geophysics, Geological Field Guide 25, p. 244. John Wiley and Sons Ltd.
    [Google Scholar]
  16. OlayinkaA.I. and YaramanciU.2000. Assessment of the reliability of 2D inversion of apparent resistivity data. Geophysical Prospecting48, 293–316.
    [Google Scholar]
  17. PapadopoulosN.G., TsourlosP., TsokasG.N. and SarrisA.2007. Efficient ERT measuring and inversion strategies for 3D imaging of buried antiquities. Near Surface Geophysics5, 349–361.
    [Google Scholar]
  18. RitzM., RobanH., PervagoE., AlbouyY., CamerlynckC., DescloitresM.et al. 1999. Improvement to resistivity pseudosection modeling by removal of near‐surface inhomogeneity effect: application to a soil system in south Cameroon. Geophysical Prospecting47, 5–101.
    [Google Scholar]
  19. ZhurbinI.V. and BorisovA.V.2018. Capabilities of consistent application of geophysical and geochemical surveys of medieval settlements destroyed by plowing. Archaeological Prospection25, 219–230.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1002/nsg.12065
Loading
/content/journals/10.1002/nsg.12065
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): Data processing; Interpretation; Near‐surface; Resistivity

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error