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Multiple Geophysical Techniques for Investigation and Monitoring of Sobradinho Landslide, Brazil

Author

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  • Yawar Hussain

    (Department of Civil and Environmental Engineering, University of Brasilia, Brasilia 70910-900, Brazil
    Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC 29634, USA)

  • Martin Cardenas-Soto

    (Engineering Faculty, National Autonomous University of Mexico, Mexico City 04510, Mexico)

  • Salvatore Martino

    (Department of Earth Sciences and Research Center for Geological Risks (CERI), University of Rome “Sapienza”, 00185 Roma, Italy)

  • Cesar Moreira

    (Institute of Geoscience and Exact Science, São Paulo State University (UNESP), Sao Paulo 13506-900, Brazil)

  • Welitom Borges

    (Institute of Geosciences, University of Brasilia, Brasilia 70910-900, Brazil)

  • Omar Hamza

    (College of Engineering and Technology, University of Derby, Derby DE223AW, UK)

  • Renato Prado

    (Institute of Astronomy, Geophysics and Atmospheric Sciences, São Paulo University (USP), Sao Paulo 05508-090, Brazil)

  • Rogerio Uagoda

    (Department of Geography, University of Brasilia, Brasilia 70910-900, Brazil)

  • Juan Rodríguez-Rebolledo

    (Department of Civil and Environmental Engineering, University of Brasilia, Brasilia 70910-900, Brazil)

  • Rafael Cerqueira Silva

    (Department of Civil and Environmental Engineering, University of Brasilia, Brasilia 70910-900, Brazil)

  • Hernan Martinez-Carvajal

    (Faculty of Mines, National University of Colombia at Medellin, Medellin, Colombia)

Abstract

Geophysical methods have a varying degree of potential for detailed characterization of landslides and their dynamics. In this study, the application of four well-established seismic-based geophysical techniques, namely Ambient Noise Interferometry (ANI), Horizontal to Vertical Spectral Ratio (HVSR), Multi-Channel Analysis of Surface Waves (MASW) and Nanoseismic Monitoring (NM), were considered to examine their suitability for landslide characterization and monitoring the effect of seasonal variation on slope mass. Furthermore, other methods such as Ground Penetrating Radar (GPR) and DC Resistivity through Electrical Resistivity Tomography (ERT) were also used for comparison purpose. The advantages and limitations of these multiple techniques were exemplified by a case study conducted on Sobradinho landslide in Brazil. The study revealed that the geophysical characterization of the landslide using traditional techniques (i.e., GPR, ERT and MASW) were successful in (i) the differentiation between landslide debris and other Quaternary deposits, and (ii) the delineation of the landslide sliding surface. However, the innovative seismic based techniques, particularly ambient noise based (HVSR and ANI) and emitted seismic based (NM), were not very effective for the dynamic monitoring of landslide, which might be attributed to the short-time duration of the data acquisition campaigns. The HVSR was also unsuccessful in landslide site characterization i.e., identification of geometry and sliding surface. In particular, there was no clear evidence of the light seasonal variations, which could have been potentially detected from the physical parameters during the (short-time) ambient noise and microseismic acquisition campaigns. Nevertheless, the experienced integration of these geophysical techniques may provide a promising tool for future applications.

Suggested Citation

  • Yawar Hussain & Martin Cardenas-Soto & Salvatore Martino & Cesar Moreira & Welitom Borges & Omar Hamza & Renato Prado & Rogerio Uagoda & Juan Rodríguez-Rebolledo & Rafael Cerqueira Silva & Hernan Mart, 2019. "Multiple Geophysical Techniques for Investigation and Monitoring of Sobradinho Landslide, Brazil," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6672-:d:290860
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    References listed on IDEAS

    as
    1. S. Imposa & S. Grassi & F. Fazio & G. Rannisi & P. Cino, 2017. "Geophysical surveys to study a landslide body (north-eastern Sicily)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 327-343, April.
    2. M. Fiorucci & R. Iannucci & L. Lenti & S. Martino & A. Paciello & A. Prestininzi & S. Rivellino, 2017. "Nanoseismic monitoring of gravity-induced slope instabilities for the risk management of an aqueduct infrastructure in Central Apennines (Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 345-362, April.
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    Cited by:

    1. Francisco J. Chávez-García & Thulasiraman Natarajan & Martín Cárdenas-Soto & Kusala Rajendran, 2021. "Landslide characterization using active and passive seismic imaging techniques: a case study from Kerala, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1623-1642, January.

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