Geophysical methods to characterize a mass movement event in tropical soils in Campos do Jordão City, Brazil

Bortolozo, Cassiano Antônio; Lavalle, L.; Andrade, Márcio Roberto Magalhães de; Motta, Mariana Ferreira Benessiuti; Mendes, Rodolfo Moreda; Metodiev, Daniel; Pacheco, Téhrrie Caroline König Ferraz; Guedes, Márcia Regina Guimarães; Porsani, Jorge Luís

doi:10.3997/1365-2397.n0115

Cited by 6 publications

(4 citation statements)

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“…Due to its steep terrain with valleys, amphitheaters, and rugged scarps, Campos do Jordão experiences a high occurrence of mass movement events and flooding [34] [35] [36]. In January 2000, one of the worst landslides was recorded, resulting in the loss of 10 lives, over 100 injured individuals, and severe damage to 423 houses [37] [38].…”

Section: Study Area and Data Sourcementioning

confidence: 99%

“…In Brazil, the most affected regions are the densely urbanized slopes, primarily located in the major urban centers of the South, Southeast, and Northeast. In the South and Southeast regions, the mass movement majority occurrences happen in the occupied slopes of the mountainous coastal areas of Brazil [2] [3]. In the Northeast region, according to the Brazilian Atlas of Natural Disasters (2013), the occurrences are concentrated in Bahia and Pernambuco, which have characteristics of barrier formation [4].…”

Section: Introductionmentioning

confidence: 99%

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Antecedent Precipitation Index to Estimate Soil Moisture and Correlate as a Triggering Process in the Occurrence of Landslides

Moraes,

Filho,

Mendes

et al. 2024

IJG

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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.

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Section: Study Area and Data Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Antecedent Precipitation Index to Estimate Soil Moisture and Correlate as a Triggering Process in the Occurrence of Landslides

Moraes,

Filho,

Mendes

et al. 2024

IJG

Self Cite

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“…Further severe landslide occurrences, such as those on the São Paulo State coast in 2020, led to 45 deaths, with 34 in the city of Guarujá and 8 in Santos city. Recent events in Petrópolis, Rio de Janeiro, in early 2022, resulted in over 240 fatalities [4] and [5]. Additionally, a large-scale disaster affected the Recife Metropolitan Region, the capital of Pernambuco state, in May 2022, causing more than 130 deaths [6].…”

Section: Introductionmentioning

confidence: 99%

ARHCS (Automatic Rainfall Half-Life Cluster System): A Landslides Early Warning System (LEWS) Using Cluster Analysis and Automatic Threshold Definition

Bortolozo,

Pampuch,

Andrade

et al. 2024

IJG

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A significant portion of Landslide Early Warning Systems (LEWS) relies on the definition of operational thresholds and the monitoring of cumulative rainfall for alert issuance. These thresholds can be obtained in various ways, but most often they are based on previous landslide data. This approach introduces several limitations. For instance, there is a requirement for the location to have been previously monitored in some way to have this type of information recorded. Another significant limitation is the need for information regarding the location and timing of incidents. Despite the current ease of obtaining location information (GPS, drone images, etc.), the timing of the event remains challenging to ascertain for a considerable portion of landslide data. Concerning rainfall monitoring, there are multiple ways to consider it, for instance, examining accumulations over various intervals (1 h, 6 h, 24 h, 72 h), as well as in the calculation of effective rainfall, which represents the precipitation that actually infiltrates the soil. However, in the vast majority of cases, both the thresholds and the rain monitoring approach are defined manually and subjectively, relying on the operators' experience. This makes the process labor-intensive and time-consuming, hindering the establishment of a truly standardized and rapidly scalable methodology on a large scale.

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“…An interactive option to introduce numerical errors into the data has also been included for algorithmic testing. The program, Curupira v1.0 [9], was validated with synthetic and real data in [10] and has been widely applied across various locations in São Paulo state, Brazil [11]- [16]. It has also been used for academic purposes at different universities and research institutes.…”

Section: Introductionmentioning

confidence: 99%

Curupira V1.0: Joint Inversion of VES and TEM for Environmental and Mass Movements Studies

Bortolozo,

Porsani,

Pryer

et al. 2023

IJG

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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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Geophysical methods to characterize a mass movement event in tropical soils in Campos do Jordão City, Brazil

Cited by 6 publications

References 0 publications

Antecedent Precipitation Index to Estimate Soil Moisture and Correlate as a Triggering Process in the Occurrence of Landslides

Antecedent Precipitation Index to Estimate Soil Moisture and Correlate as a Triggering Process in the Occurrence of Landslides

ARHCS (Automatic Rainfall Half-Life Cluster System): A Landslides Early Warning System (LEWS) Using Cluster Analysis and Automatic Threshold Definition

Curupira V1.0: Joint Inversion of VES and TEM for Environmental and Mass Movements Studies

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