1887
Volume 15 Number 5
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Due to postglacial uplift, lowlands in Canada, Norway, Sweden and Russia are prone to formation of highly unstable, sensitive, and leached marine clay (quick clay). Quick‐clay failures are dramatic due to its high water content, resulting in liquefaction. It thus poses a major hazard for society and construction projects in particular, and knowledge of its extent is of vital importance. Quick‐clay assessment is usually undertaken in geotechnical boreholes having the disadvantage of giving only information at the borehole location. To overcome this limitation, geophysical ground‐based methods like electrical resistivity tomography have been used successfully. However, when a larger area has to be investigated, electrical resistivity tomography surveys become costly and time consuming. We show results from an airborne electromagnetic survey aiming at detection of different clay units for a road project in southeastern Norway. Airborne electromagnetic data clearly show structures within the sediment layer that correspond well with results from geotechnical boreholes. While a clear distinction between clay and quick clay cannot be derived from airborne electromagnetic alone, our study shows that this method has high‐enough resolution and accuracy to map differences in clay units, which can subsequently be probed at specified locations. Thus, by using airborne electromagnetics to target borehole locations, the costs for the geotechnical drilling program can be reduced significantly.

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2017-05-01
2020-02-25
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References

  1. ABEM
    ABEM . 2010. ABEM Terrameter LS, Instruction Manual, ABEM100709.
    [Google Scholar]
  2. AndersenB.G., 1979. The deglaciation of Norway 15,000–10,000B. P. Boreas. 79–87.
    [Google Scholar]
  3. AnschützH., ChristensenC. and PfaffhuberA.2014. Quantitative depth to bedrock extraction from AEM data. Near Surface Geoscience 2014, Athens, Greece, Expanded Abstracts, Tu Olym 01.
    [Google Scholar]
  4. AukenE. and ChristiansenA.V.2004. Layered and laterally constrained 2D inversion of resistivity data.Geophysics69, 752–761.
    [Google Scholar]
  5. AukenE., ViezzoliA. and ChristiansenA.V.2009. A single software for processing, inversion, and presentation of AEM data of different systems: the Aarhus Workbench.ASEG 20th Geophysical Conference.
    [Google Scholar]
  6. BaranwalV.C., DalseggE., DretvikH., RønningJ.S., TønnesenJ.F. and SolbergI.L.2014. Delineation of clay layers in a landslide area in Norway using frequency‐domain helicopterborne electromagnetic survey. Near Surface Geoscience 2014, Athens, Greece, Expanded Abstracts, We Olym 06.
    [Google Scholar]
  7. BazinS. and PfaffhuberA.2013. Mapping of quick clay by electrical resistivity tomography under structural constraint.Journal of Applied Geophysics98, 280–287
    [Google Scholar]
  8. BazinS., AnschützH., LysdahlK., PfaffhuberA.A. and ScheibzJ.2015. ERT inversion industry standard versus cutting edge developments, time for a change?SAGEEP 2015, Austin, USA.
    [Google Scholar]
  9. ChristensenC., PfaffhuberA., AnschützH. and SmaavikT.F.2015. Combining airborne electromagnetic and geotechnical data for automated depth to bedrock tracking.Journal of Applied Geophysics119, 178–191.
    [Google Scholar]
  10. ChristiansenA.V. and AukenE.2012. A global measure for depth of investigation.Geophysics77(4), WB171–WB177.
    [Google Scholar]
  11. DahlinT. and ZhouB.2006. Gradient array measurements for multichannel 2D resistivity imaging.Near Surface Geophysics4, 113–123.
    [Google Scholar]
  12. DahlinT., LöfrothH., SchälinD. and SuerP.2013. Mapping of quick clay using geoelectrical imaging and CPTU‐resistivity.Near Surface Geophysics11, 659–670.
    [Google Scholar]
  13. DonohueS., LongM., O’ConnorP., HelleT.E., PfaffhuberA. and RømoenM.2012. Multi‐method geophysical mapping of quick clay.Near Surface Geophysics10, 207–219.
    [Google Scholar]
  14. EdwardsR., NobesD. and Gómez‐TrevinoE.1984. Offshore electrical exploration of sedimentary basins: the effects of anisotropy in horizontally isotropic, layered media.Geophysics49(5), 566–576.
    [Google Scholar]
  15. GüntherT., RückerC. and SpitzerK.2006. Three‐dimensional modelling and inversion of DC resistivity data incorporating topography— II. Inversion.Geophysical Journal International166, 506–517.
    [Google Scholar]
  16. HelleT.E., NordalS., AagaardP. and LiedO.2016. Long term effect of potassium chloride treatment on improving the soil behaviour of highly sensitive clay Ulvensplitten, Norway.Canadian Geotechnical Journal53, 410–422.
    [Google Scholar]
  17. HunterJ.A., MotazedianD., CrowH.L., BrooksG.R., MillerR.D., PuginA.J.‐M.et al. 2010. Near‐surface shear‐wave velocity measurements for soft‐soil earthquake‐hazard assessment: some Canadian mapping examples. In: Advances in Near‐surface Seismology and Ground‐penetrating Radar, pp. 339–359.
    [Google Scholar]
  18. Hydrogeophysics Group
    Hydrogeophysics Group . 2011. Guide for processing and inversion of SkyTEM data in the Aarhus Workbench. Aarhus University.
    [Google Scholar]
  19. KalscheuerT., BastaniM., DonohueS., PerssonL., PfaffhuberA., ReiserF.et al. 2013. Delineation of a quick clay zone at Smørgrav, Norway, with electromagnetic methods under geotechnical constraints.Journal of Applied Geophysics92, 121–136.
    [Google Scholar]
  20. LokeM.H.2013. Tutorial: 2‐D and 3‐D electrical imaging surveys. Geotomo Software (http://www.geotomosoftware.com).
    [Google Scholar]
  21. LøkenT.1968. Kvikkleiredannelse og kjemisk forvitring i norske leirer (in Norwegian).Publication75, 19–26. Oslo, Norway: Norwegian Geotechnical Institute.
    [Google Scholar]
  22. Norwegian Geological Survey (Norges Geologiske Undersøkelse) Kartkatalog
    Norwegian Geological Survey (Norges Geologiske Undersøkelse) Kartkatalog . http://geo.ngu.no/kart/kartkatalog/ (Accessed April 11, 2014).
  23. PfaffhuberA., BazinS. and HelleT.E.2013. An integrated approach to quick‐clay mapping based on resistivity measurements and geotechni‐cal investigations. In: Landslides in Sensitive Clays: From Geoscience to Risk Management (eds J.‐L.L’Heureux et al.), Advances in Natural and Technological Hazards Research, Vol. 36. Springer.
    [Google Scholar]
  24. RambergI.B., BryhniI., NøttvedtA., RangnesK.2008. The Making of a Land: Geology of Norway. 2008 ed. Norsk Geologisk Forening, Trondheim, Norway
    [Google Scholar]
  25. RømoenM., PfaffhuberA., KarlsrudK. and HelleT.E.2010. Resistivity on marine sediments retrieved from RCPTU‐soundings: a Norwegian case study.International Symposium on Cone Penetration Testing,Huntington Beach, CA. Proceedings 2, 289–296.
    [Google Scholar]
  26. SandvenR., GyllandA., MontafiaA., KåsinK., PfaffhuberA. and LongM.2016. In situ detection of sensitive clays ‐ Part II: Results. 17th Nordic Geotechnical Meeting, Reykjavik, Iceland.
    [Google Scholar]
  27. SapiaV., OldenborgerG.A., ViezzoliA. and MarchettiM.2014. Incorporating ancillary data into the inversion of airborne time‐domain electromagnetic data for hydrogeological applications.Journal of Applied Geophysics104, 35–43.
    [Google Scholar]
  28. StarmerI.C.1996. Oblique Terrane Assembly in the Late Paleoproterozoic during the Labradorian‐Gothian Orogeny in Southern Scandinavia.The Journal of Geology104, 341–350.
    [Google Scholar]
  29. SauvinG., LecomteI., BazinS., L’HeureuxJ.S., VannesteM., SolbergI.L.et al. 2013. Towards geophysical and geotechnical integration for quick‐clay mapping in Norway.Near Surface Geophysics11.
    [Google Scholar]
  30. ShanC., BastaniM., MalehmirA., PerssonL. and EngdahlM.2014. Integrated 2D modeling and interpretation of geophysical and geo‐technical data to delineate quick clays at a landslide site in southwest Sweden.Geophysics79, EN61–EN75.
    [Google Scholar]
  31. ShanC., BastaniM., MalehmirA. and LundbergE.2016. Integration of controlled‐source and radio magnetotellurics, electric resistivity tomography, and reflection seismics to delineate 3D structures of a quick‐clay landslide site in southwest of Sweden.Geophysics81(1), B13–B29.
    [Google Scholar]
  32. SolbergI.L., RønningJ.S., DalseggE., HansenL., RokoengenK. and SandvenR.2008. Resistivity measurements as a tool for outlining quick‐clay extents and valley‐fill stratigraphy: a feasibility study from Buvika, central Norway.Canadian Geotechnical Journal45, 210–225.
    [Google Scholar]
  33. SørensenK.I. and AukenE.2004. SkyTEM–A new high‐resolution helicopter transient electromagnetic system.Exploration Geophysics35, 191–199.
    [Google Scholar]
  34. ViezzoliA., ChristiansenA.V., AukenE. and SørensenK.I.2008. Quasi‐3D modeling of airborne TEM data by spatially constrained inversion.Geophysics73, F105–F113.
    [Google Scholar]
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