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

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dc.contributor.authorBortolozo, Cassiano Antonio
dc.contributor.authorMendes, Tatiana Sussel Gonçalves
dc.contributor.authorEgas, Harideva Marturano
dc.contributor.authorMetodiev, Daniel
dc.contributor.authorMoraes, Maiconn Vinicius de
dc.contributor.authorAndrade, Marcio Roberto Magalhães de
dc.contributor.authorPryer, Tristan
dc.contributor.authorAshby, Ben
dc.contributor.authorMotta, Mariana Ferreira Benessiuti
dc.contributor.authorSimões, Silvio Jorge Coelho
dc.contributor.authorPampuch, Luana Albertani
dc.contributor.authorMendes, Rodolfo Moreda
dc.contributor.authorMoraes, Marcio Augusto Ernesto de
dc.date.accessioned2025-03-06T18:06:55Z
dc.date.available2025-03-06T18:06:55Z
dc.date.issued22023
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.
dc.description.physical15 p.
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFinanciadora de Estudos e Projetos (Finep)
dc.description.uriCNPq (301201/2022-6) FINEP (Carta Convite MCTI/FINEP/FNDCT 01/2016)
dc.format.mimetypePDF
dc.identifier.affiliationUniversidade do Estado de São Paulo
dc.identifier.affiliationCentro Nacional de Monitoramento e Alertas de Desastres Naturais
dc.identifier.affiliationUniversidade do Vale do Paraíba
dc.identifier.affiliationUniversity of Bath
dc.identifier.affiliationHeriot Watt University
dc.identifier.bibliographicCitationBORTOLOZO, Cassiano Antonio et al. Enhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenarios. Journal of South American Earth Sciences, v. 132, p. 1-15, 2023. Disponível em:
dc.identifier.doi10.1016/j.jsames.2023.104664
dc.identifier.urihttps://repositorio.univap.br/handle/123456789/616
dc.language.isoen_US
dc.publisherElsevier
dc.rights.holderElsevier
dc.subject.keywordDC method
dc.subject.keywordSoil moisture
dc.subject.keywordInfiltration experiments
dc.subject.keywordRain simulation
dc.titleEnhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenarios
dc.typeArtigos de Periódicos

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