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Enhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenarios

dc.contributor.authorBortolozo, Cassiano Antonio [UNESP]
dc.contributor.authorMendes, Tatiana Sussel Gonçalves [UNESP]
dc.contributor.authorEgas, Harideva Marturano
dc.contributor.authorMetodiev, Daniel
dc.contributor.authorMoraes, Maiconn Vinicius de [UNESP]
dc.contributor.authorAndrade, Marcio Roberto Magalhães de
dc.contributor.authorPryer, Tristan
dc.contributor.authorAshby, Ben
dc.contributor.authorMotta, Mariana Ferreira Benessiuti [UNESP]
dc.contributor.authorSimões, Silvio Jorge Coelho [UNESP]
dc.contributor.authorPampuch, Luana Albertani [UNESP]
dc.contributor.authorMendes, Rodolfo Moreda
dc.contributor.authorMoraes, Marcio Augusto Ernesto de
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionGeneral Coordination of Research and Development
dc.contributor.institutionUniversity of Bath
dc.contributor.institutionHeriot Watt University
dc.date.accessioned2025-04-29T20:04:42Z
dc.date.issued2023-12-01
dc.description.abstractEvery year, Brazil grapples with the destructive impact of landslides, typically during the summer season. The National Centre for Monitoring and Alerts of Natural Disasters (Cemaden) places significant emphasis on studying these phenomena to understand their processes and causes more deeply. One key challenge faced in this endeavour is the procurement of geotechnical properties of the soil in high-risk areas, with soil moisture being a crucial factor. Collecting point samples for acquiring these geotechnical parameters is not only costly but also limited in providing a comprehensive two-dimensional or three-dimensional coverage. Therefore, the primary aim of the proposed project is to validate the method of acquiring soil moisture data through geophysical surveys in both 2D and 3D scenarios. Data was gathered from soil moisture stations within Cemaden's network and various collected samples to confirm the results. To generate more controlled yet realistic conditions, a sequence of field infiltration experiments was conducted. The findings, related to the ability of the geoelectric method to define soil moisture, derived from this project form an invaluable foundation for future investigations spearheaded by the Geodynamics Group and its collaborating institutions.en
dc.description.affiliationSão Paulo State University (Unesp) Institute of Science and Technology
dc.description.affiliationCEMADEN - National Center for Monitoring and Early Warning of Natural Disasters General Coordination of Research and Development
dc.description.affiliationDepartment of Mathematical Sciences University of Bath
dc.description.affiliationSchool of Mathematical and Computer Sciences Heriot Watt University
dc.description.affiliationSão Paulo State University (Unesp) Faculty of Engineering and Sciences
dc.description.affiliationUnespSão Paulo State University (Unesp) Institute of Science and Technology
dc.description.affiliationUnespSão Paulo State University (Unesp) Faculty of Engineering and Sciences
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipUniversal
dc.description.sponsorshipEngineering and Physical Sciences Research Council
dc.description.sponsorshipLeverhulme Trust
dc.description.sponsorshipIdCNPq: 152269/2022-3
dc.description.sponsorshipIdUniversal: 433481/2018-8
dc.description.sponsorshipIdEngineering and Physical Sciences Research Council: EP /W026899/1
dc.description.sponsorshipIdEngineering and Physical Sciences Research Council: EP /X017206/1
dc.description.sponsorshipIdEngineering and Physical Sciences Research Council: EP /X030067/1
dc.description.sponsorshipIdLeverhulme Trust: RPG-2021-238
dc.identifierhttp://dx.doi.org/10.1016/j.jsames.2023.104664
dc.identifier.citationJournal of South American Earth Sciences, v. 132.
dc.identifier.doi10.1016/j.jsames.2023.104664
dc.identifier.issn0895-9811
dc.identifier.scopus2-s2.0-85174451754
dc.identifier.urihttps://hdl.handle.net/11449/305950
dc.language.isoeng
dc.relation.ispartofJournal of South American Earth Sciences
dc.sourceScopus
dc.subjectBrazil
dc.subjectDC method
dc.subjectInfiltration experiments
dc.subjectRain simulation
dc.subjectSoil moisture
dc.titleEnhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenariosen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0002-3327-4273 0000-0002-3327-4273[1]

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