Multiple geophysical techniques for investigation and monitoring of sobradinho landslide, Brazil

Journal article


Hussain, Yawar, Cardenas-Soto, Martin, Martino, Salvatore, Moreira, Cesar, Borges, Welitom, Hamza, Omar, Prado, Renato, Uagoda, Rogerio, Rodríguez-Rebolledo, Juan, Silva, Rafeal and Martinez-Carvajal, Hernan 2019. Multiple geophysical techniques for investigation and monitoring of sobradinho landslide, Brazil. Sustainability. 11 (23), p. 6672. https://doi.org/10.3390/su11236672
AuthorsHussain, Yawar, Cardenas-Soto, Martin, Martino, Salvatore, Moreira, Cesar, Borges, Welitom, Hamza, Omar, Prado, Renato, Uagoda, Rogerio, Rodríguez-Rebolledo, Juan, Silva, Rafeal and Martinez-Carvajal, Hernan
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

KeywordsRenewable Energy, Sustainability and the Environment; Geography, Planning and Development; Management, Monitoring, Policy and Law; landslide dynamic; geophysical investigation; slope mass
Year2019
JournalSustainability
Journal citation11 (23), p. 6672
PublisherMDPI AG
ISSN2071-1050
Digital Object Identifier (DOI)https://doi.org/10.3390/su11236672
Web address (URL)http://hdl.handle.net/10545/624328
hdl:10545/624328
Publication dates26 Nov 2019
Publication process dates
Deposited06 Dec 2019, 14:53
Accepted29 Oct 2019
ContributorsUniversity of Derby, University of Brasilia, Clemson University, University of Mexico, ational University of Colombia at Medellin and São Paulo University
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