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Abstract

Summary

Pluvial floods as a harmful effect of the global climate change process may occur more and more frequently in urban areas. With determination of environmental vulnerability the vulnerability pillar of the impact assessment can be given. The environmental vulnerability depends on three factors: slope, water coverage and the drainage capacity of the earth. Since the drainage capacity of the surface water depends on the soil’s clay content, with a careful calibration of GPR survey the soil factor can be derived from the attenuation of EM waves. This study presents the determination process of environmental vulnerability and with a field example illustrates its applicability where the designation of vulnerable zones was done by using conventional method and the based on GPR survey as well. The field test showed that based on the attenuation of EM waves more precise and reliable vulnerability assessment can be carried out than with the conventional delineation method of the endangered areas.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201802482
2018-09-09
2024-04-25

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References

  1. Bueno I.Escuder, J.T. CastilloRodriguez, S.Zechner, C.Jobstl, Momparler S.Perales, G.Petaccia
    : A quantative flood risk analysis methedology for urban areas with integration of social research data, Nat. Hazards Earth Syst. Sci., 12 (2012), pp. 2843–2863
     [Google Scholar]
  2. Daniels, D.J.
    , 2004. Ground Penetrating Radar, 2nd Edition. The Institute of Electrical Engineers, London, United Kingdom.
     [Google Scholar]
  3. IPCC 2014: Summary for policymakers. In: Climate Change 2014: Impacts, Adaptation and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to Fifth Assessment Report of the Intergovernmental Panel on Climate Change.
     [Google Scholar]
  4. KalbfleischJ.G.
    (1985): Probability and statistical inference: volume 1: probability, Springer Texts in Statistics-Sep, 9 (1985), p. 1985
     [Google Scholar]
  5. Plank, Z., Selmeczi, P., Pronay, Z., Polgar, D
    (2016): Geophysical Methods in Vulnerability Assessment to Climate Change Effect, We 22P1 16, DOI: 10.3997/2214‑4609.201602063, Conference: Near Surface Geoscience 2016 - 22nd European Meeting of Environmental and Engineering Geophysics, Paper DOI: 10.3997/2214-4609.20142092. (ISBN: 978-94-6282-155-2)
     https://doi.org/10.3997/2214-4609.201602063 [Google Scholar]
  6. SperottoA., TorresanS., GallinV., CoppolaE., CrittoA., MarcominiA.
    (2016): A multi-disciplinary approach to evaluate pluvial floods risk under changing climate: The case study of the municipality of Venice (Italy), Science of The Total Environment Volume 562, 15August2016, Pages 1031–1043, https://doi.org/10.1016/j.scitotenv.2016.03.150
     [Google Scholar]
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Determination of Environmental Vulnerability Using GPR Data
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201802482
/content/papers/10.3997/2214-4609.201802482
/content/papers/10.3997/2214-4609.201802482
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