Correlações entre chuvas e movimentos de massa no município de Belo Horizonte, MG

Parizzi, Maria Giovana; Sebastião, Cristiane Silva; Sanctis, M. C. De; Pflueger, Marcelo de Carvalho; Campos, Luciane; Cajazeiro, Joana Maria Drumond; Tomich, Rodolfo Sena; Guimarães, Roberta N.; Abreu, Magda Luzimar de; Sobreira, Frederico Garcia; Reis, Ruibran dos

doi:10.35699/2237-549x..13296

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Vale frisar que um percentual significativo de ocorrências de chuvas fortes (14,4 ≤ P < 39,8, 20% dos casos), e chuvas consideradas extremas CMF e CE (P ≥ 39,8, 5% dos casos), que caracteriza o percentual com potencial para ocorrência de desastres naturais, como deslizamento de encostas e/ou enchentes (SOUZA et a., 2019). Vários outros estudos apresentaram uma correlação positiva entre ocorrência de deslizamento e altas intensidades de precipitação (TOMINAGA et al, 2009;SANTORO et al, 2010;PARIZZI et al, 2010;MICHEL, 2013;MICHEL et al, 2014MICHEL et al, , 2015MARTINS, 2014;MOLINA et al, 2015;MENDES et al, 2015;Kobiyama et al, 2015;Ribeiro Neto et al, 2016;Zahiri et al, 2016;Santos, et al, 2019). Neste mesmo raciocínio, utilizando a EMA de Maceió/AL para avaliar a quantidade de casos de CMF (81 caso, com média 54,37mm/dia) e CE (19 casos, com média 108,8mm/dia).…”

Section: Resultsunclassified

Avaliação de eventos extremos de precipitação, associados a desastres naturais

Silva

Gama²,

Silva³

et al. 2022

Rev. Bras. Geog. Fis.

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The present study mainly aimed to make a statistical survey of extreme precipitation events for the eastern region of the Brazilian Northeast, more specifically for the city of Maceió/AL. For this purpose, punctual data from INMET Automatic Meteorological Stations were used, and spatial data using satellite images and hydro-estimator data provided by CPTEC/INPE. The main results were based on daily precipitation data and quantile technique, it generated the following R(mm) classes: Dry Day R < 2.4mm, Drizzle Rain 2.4 ≤ R < 3, 8mm, Showers 3.8 ≤ R < 7.6mm, Moderate Rain 7.6 ≤ R < 14.4mm, Heavy Rain 14.4 ≤ R < 39.8mm, Strong Rain 39.8 ≤ R < 82.8mm, Extreme Rain R ≥ 82.8mm. The method adopted for classifying extreme rainfall (Strong more Extreme) using quartiles proved to be efficient, made by the association between extreme precipitation events and natural disasters using the records of the State of Public Calamity (SPC) degree, that is, the indicators recognition of SPC and annual accumulated average precipitation, point to the possibility of occurrence of hydrometeorological disasters for the city of Maceió/AL. Regarding the spatial distribution of the number of cases of Strong and Extreme, for Alagoas the municipalities with the most recorded occurrences were Japaratinga, Porto de Pedras, Maceió, among others. For the city of Maceió/AL, the region R5 (Ipioca and Pescaria) and R2 were the ones that presented the most cases of rainfall ranging from very strong to extreme.

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Section: Resultsunclassified

Avaliação de eventos extremos de precipitação, associados a desastres naturais

Silva

Gama²,

Silva³

et al. 2022

Rev. Bras. Geog. Fis.

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“…Gerais, Rio de Janeiro, and São Paulo states, all with similar topography (Parizzi et al 2010;Mendes et al 2015;Molina et al 2015;Oliveira et al 2016;Metodiev et al 2017;São Paulo 2022). Based on these studies, we adopted the rainfall thresholds for the possibility of triggering a landslide: We utilized estimated rainfall data from CHIRPS v.2, widely employed around the world to identify clusters of landslides from 1988 to 2018 (Benz and Bulm 2019).…”

Section: Rainfall Thresholds For Triggering Landslidesmentioning

confidence: 96%

Analysis of Extreme Rainfall and Landslides in the Metropolitan Region of the Paraiba Valley and North Coast of Sao Paulo, Brazil

Silva,

Marengo,

Lemes

2023

Preprint

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Hydrological and geological disasters triggered by heavy rainfall led to major social, and economic impacts and loss of human lives. This scenario may be worsening due to climate change and the increases in the frequency and intensity of extreme rainfall events. Intense rainfall represents the hazard in terms of risk. This hazard, combined with the vulnerability and exposure of populations and the places where they live, determines the risk of disasters. Thus, our objective is to analyze the climatology and trends of extreme rainfall in the Metropolitan Region of the Paraiba Valley and North Coast of Sao Paulo (RMVPLN). The results indicate that there is an increase in frequency and intense rainfall indicators, mainly on the coast of São Paulo, resulting from positive anomalies of moisture transport and ocean winds, influenced by intense South Atlantic Subtropical High. This region is the most susceptible to the occurrence of landslides triggered by extreme rainfall as they are concentrated in areas that combine deforested areas, high slope topography, and excessive anthropic intervention. The presence of the mountainous regions increases the risk that an extreme rainfall event could trigger landslides, affecting local infrastructure and exposing the vulnerability of populations in these risk areas.

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“…The studies presented by Tatizana et al (1987a, b) [16,17] was fundamental references for other works in different regions of Brazil, attempting to find the relationships between precipitation intensity (mm/h) and/or daily precipitation (24h) concerning the antecedent accumulated rainfall before landslide occurrences. Notable works include those carried out by Coutinho (2002) [18], for the municipality of Blumenau (SC), Ide (2005) [19], for the municipality of Campinas (SP), Castro (2006) [6], for the municipality of Ouro Preto (MG), Bandeira (2010) [8], for the Metropolitan Region of Recife (PE), Parizzi et al (2010) [20] for the municipality of Belo Horizonte (MG), Mendes et al (2015) [21], for the municipality of São José dos Campos (SP), Soares (2015) [22], for the municipality of João Pessoa (PB), Metodiev et al (2018) [23], for the Baixada Santista and Litoral Norte of the state of São Paulo, among others.…”

Section: Rainfall Thresholds For Landslidesmentioning

confidence: 99%

Quantitative analysis of rainfall events for potential rapid landslides and flashfloods in brazilian municipalities

Pedro Ivo Camarinha,

Guilherme Yukio Seki,

Diego Souza

et al. 2024

Int. J. Sci. Res. Arch.

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This study examines rainfall events in Brazil, with emphasis on their potential to induce geo-hydrological hazards, like landslides and flash floods. Utilizing the CHIRPS dataset and rainfall thresholds for landslides, we quantify and analyze climatic hazards at a national level, providing perspective into the relationship between precipitation patterns and geo-hydrological risks. Our findings aim to contribute to a holistic understanding of climatic risk, guiding strategic decisions for disaster risk reduction and climate change adaptation.

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Correlações entre chuvas e movimentos de massa no município de Belo Horizonte, MG

Cited by 6 publications

References 1 publication

Avaliação de eventos extremos de precipitação, associados a desastres naturais

Avaliação de eventos extremos de precipitação, associados a desastres naturais

Analysis of Extreme Rainfall and Landslides in the Metropolitan Region of the Paraiba Valley and North Coast of Sao Paulo, Brazil

Quantitative analysis of rainfall events for potential rapid landslides and flashfloods in brazilian municipalities

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