Navegando por Autor "Moraes, Marcio Augusto Ernesto de"

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    Antecedent precipitation index to estimate soil moisture and correlate as a triggering process in the occurrence of landslides
    (Scientific Research Publishing) Moraes, Marcio Augusto Ernesto de; Mendes Filho, Walter Manoel; Mendes, Rodolfo Moreda; Bortolozo, Cassiano Antonio; Metodiev, Daniel; Andrade, Marcio Roberto Magalhães de; Egas, Harideva Marturano; Mendes, Tatiana Sussel Gonçalves; Pampuch, Luana Albertani
    Landslides are highly dangerous phenomena that occur in different parts of the world and pose significant threats to human populations. Intense rainfall events are the main triggering process for landslides in urbanized slope regions, especially those considered high-risk areas. Various other factors contribute to the process; thus, it is essential to analyze the causes of such incidents in all possible ways. Soil moisture plays a critical role in the Earth’s surface-atmosphere interaction systems; hence, measurements and their estimations are crucial for understanding all processes involved in the water balance, especially those related to landslides. Soil moisture can be estimated from in-situ measurements using different sensors and techniques, satellite remote sensing, hydrological modeling, and indicators to index moisture conditions. Antecedent soil moisture can significantly impact runoff for the same rainfall event in a watershed. The Antecedent Precipitation Index (API) or “retained rainfall,” along with the antecedent moisture condition from the Natural Resources Conservation Service, is generally applied to estimate runoff in watersheds where data is limited or unavailable. This work aims to explore API in estimating soil moisture and establish thresholds based on landslide occurrences. The estimated soil moisture will be compared and calibrated using measurements obtained through multisensor capacitance probes installed in a high-risk area located in the mountainous region of Campos do Jordão municipality, São Paulo, Brazil. The API used in the calculation has been modified, where the recession coefficient depends on air temperature variability as well as the climatological mean temperature, which can be considered as losses in the water balance due to evapotranspiration. Once the API is calibrated, it will be used to extrapolate to the entire watershed and consequently estimate soil moisture. By utilizing recorded mass movements and comparing them with API and soil moisture, it will be possible to determine thresholds, thus enabling anticipation of landslide occurrences.
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    Curupira V1.0: Joint Inversion of VES and TEM for Environmental and Mass Movements Studies
    (Scientific Research an Academic Publisher) Bortolozo, Cassiano Antonio; Porsani, Jorge Luís; Pryer, Tristan; Benjumea, Jorge Luis Abril; Santos, Fernando Acácio Monteiro dos; Couto, Marco Antonio; Pampuch, Luana Albertani; Mendes, Tatiana Sussel Gonçalves; Metodiev, Daniel; Moraes, Marcio Augusto Ernesto de; Mendes, Rodolfo Moreda; Andrade, Marcio Roberto Magalhães de
    An innovative inversion code, named “Curupira v1.0”, has been developed using Matlab to determine the vertical distribution of resistivity beneath the subsoil. The program integrates Vertical Electrical Sounding (VES), successful in shallow subsurface exploration and Time Domain Electromagnetic (TEM) techniques, better suited for deeper exploration, both of which are widely employed in geophysical exploration. These methodologies involve calculating subsurface resistivity through appropriate inversion processes. To address the ill-posed nature of inverse problems in geophysics, a joint inversion scheme combining VES and TEM data has been incorporated into Curupira v1.0. The software has been tested on both synthetic and real-world data, the latter of which was acquired from the Parana sedimentary basin which we summarise here. The results indicate that the joint inversion of VES and TEM techniques offers improved recovery of simulated models and demonstrates significant potential for hydrogeological studies.
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    Enhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenarios
    (Elsevier) Bortolozo, Cassiano Antonio; Mendes, Tatiana Sussel Gonçalves; Egas, Harideva Marturano; Metodiev, Daniel; Moraes, Maiconn Vinicius de; Andrade, Marcio Roberto Magalhães de; Pryer, Tristan; Ashby, Ben; Motta, Mariana Ferreira Benessiuti; Simões, Silvio Jorge Coelho; Pampuch, Luana Albertani; Mendes, Rodolfo Moreda; Moraes, Marcio Augusto Ernesto de
    Every 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.