dc.contributorUniversity of Brasilia
dc.contributorClemson University
dc.contributorNational Autonomous University of Mexico
dc.contributorUniversity of Rome Sapienza
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversity of Derby
dc.contributorUniversidade de São Paulo (USP)
dc.contributorNational University of Colombia at Medellin
dc.date.accessioned2020-12-12T01:08:55Z
dc.date.accessioned2022-12-19T20:39:22Z
dc.date.available2020-12-12T01:08:55Z
dc.date.available2022-12-19T20:39:22Z
dc.date.created2020-12-12T01:08:55Z
dc.date.issued2019-12-01
dc.identifierSustainability (Switzerland), v. 11, n. 23, 2019.
dc.identifier2071-1050
dc.identifierhttp://hdl.handle.net/11449/198296
dc.identifier10.3390/su11236672
dc.identifier2-s2.0-85076707102
dc.identifier9086857312391080
dc.identifier0000-0002-6949-6679
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5378930
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 applications.
dc.languageeng
dc.relationSustainability (Switzerland)
dc.sourceScopus
dc.subjectGeophysical investigation
dc.subjectLandslide dynamic
dc.subjectSlope mass
dc.titleMultiple geophysical techniques for investigation and monitoring of Sobradinho Landslide, Brazil
dc.typeArtículos de revistas


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