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dc.contributor.authorHussain, Yawar
dc.contributor.authorCardenas-Soto, Martin
dc.contributor.authorMartino, Salvatore
dc.contributor.authorMoreira, Cesar
dc.contributor.authorBorges, Welitom
dc.contributor.authorHamza, Omar
dc.contributor.authorPrado, Renato
dc.contributor.authorUagoda, Rogerio
dc.contributor.authorRodríguez-Rebolledo, Juan
dc.contributor.authorSilva, Rafeal
dc.contributor.authorMartinez-Carvajal, Hernan
dc.date.accessioned2019-12-06T14:53:30Z
dc.date.available2019-12-06T14:53:30Z
dc.date.issued2019-11-26
dc.identifier.citationHussain, Y., Cardenas-Soto, M., Martino, S., Moreira, C., Borges, W., Hamza, O., Prado, R., Uagoda, R., Rodríguez-Rebolledo, J., Silva, R. and Martinez-Carvajal, H., (2019). 'Multiple geophysical techniques for investigation and monitoring of sobradinho Landslide, Brazil'. Sustainability, 11(23), pp. 1-18. DOI: 10.3390/su11236672en_US
dc.identifier.issn2071-1050
dc.identifier.doi10.3390/su11236672
dc.identifier.urihttp://hdl.handle.net/10545/624328
dc.description.abstractGeophysical 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 applicationsen_US
dc.description.sponsorshipThis research was funded by Research of the Federal District Foundation (FAPDF), and The APC was funded by the Department of Geography, University of Brasilia.en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.urlhttps://www.mdpi.com/2071-1050/11/23/6672/htmen_US
dc.subjectRenewable Energy, Sustainability and the Environmenten_US
dc.subjectGeography, Planning and Developmenten_US
dc.subjectManagement, Monitoring, Policy and Lawen_US
dc.subjectlandslide dynamicen_US
dc.subjectgeophysical investigationen_US
dc.subjectslope massen_US
dc.titleMultiple geophysical techniques for investigation and monitoring of sobradinho landslide, Brazilen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentUniversity of Brasiliaen_US
dc.contributor.departmentClemson Universityen_US
dc.contributor.departmentUniversity of Mexicoen_US
dc.contributor.departmentational University of Colombia at Medellinen_US
dc.contributor.departmentSão Paulo Universityen_US
dc.identifier.journalSustainabilityen_US
dc.source.volume11
dc.source.issue23
dc.source.beginpage6672
dcterms.dateAccepted2019-10-29
refterms.dateFOA2019-12-06T14:53:31Z
dc.author.detail784461en_US


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