January 2011: The Extreme Landslide Disaster in Brazil

Netto, Ana Luíza Coelho; Sato, Anderson Mululo; Avelar, André de Souza; Vianna, Lílian Gabriela G.; Araújo, I.; Ferreira, David L. C.; Lima, Pedro; Silva, Ana Paula A.; Silva, Roberta P.

doi:10.1007/978-3-642-31319-6_51

Cited by 48 publications

(38 citation statements)

References 3 publications

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“…Consequently, landslides are directly associated with the loss of lives, property and infrastructure damage, and environmental destruction. During 2011, for instance, mountainous regions of the Rio de Janeiro state suffered several landslides that caused more than 1500 deaths and severe damage to urban and rural infrastructure (Coelho Netto et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000

Mendes

Andrade

Tomasella

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Located in a mountainous area of south-eastern Brazil, the municipality of Campos do Jordão has been hit by several landslides in recent history. Among those events, the landslides of early 2000 were significant in terms of the number of deaths (10), the population affected and the destruction of infrastructure that was caused. The purpose of this study is to assess the relative contribution of natural and human factors to triggering the landslides of the 2000 event. To achieve this goal, a detailed geotechnical survey was conducted in three representative slopes of the area to obtain geotechnical parameters needed for slope stability analysis. Then, a set of numerical experiments with GEO-SLOPE software was designed, including separate natural and anthropic factors. Results showed that natural factors, that is, high-intensity rainfall and geotechnical conditions, were not severe enough to trigger landslides in the study area and that human disturbance was entirely responsible for the landslide events of 2000. Since the anthropic effects used in the simulations are typical of hazardous urban areas in Brazil, we concluded that the implementation of public policies that constrain the occupation of landslide susceptible areas are urgently needed.

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Section: Introductionmentioning

confidence: 99%

Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000

Mendes

Andrade

Tomasella

et al. 2018

Nat. Hazards Earth Syst. Sci.

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“…S7). Although this cluster only counts 20 individual landslide events within the GLC, it is being reported as thousands of individual landslides (Coelho Netto et al, 2013).…”

Section: Most Intense Clustermentioning

confidence: 99%

Global detection of rainfall-triggered landslide clusters

Benz

Blum

2019

Nat. Hazards Earth Syst. Sci.

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An increasing awareness of the cost of landslides on the global economy and of the associated loss of human life has led to the development of various global landslide databases. However, these databases typically report landslide events instead of individual landslides, i.e., a group of landslides with a common trigger and reported by media, citizens and/or government officials as a single unit. The latter results in significant cataloging and reporting biases. To counteract these biases, this study aims to identify clusters of landslide events that were triggered by the same rainfall event. An algorithm is developed that finds a series of landslide events that (a) is continuous with no more than 2 d between individual events and where (b) precipitation at the location of an individual event correlates with precipitation of at least one other event. The developed algorithm is applied to the Global Landslide Catalog (GLC) maintained by NASA. The results show that more than 40 % of all landslide events are connected to at least one other event and that 14 % of all studied landslide events are actually part of a landslide cluster consisting of at least 10 events and up to 108 events in 1 d. Duration of the detected clusters also varies greatly from 1 to 24 d. Our study intends to enhance our understanding of landslide clustering and thus will assist in the development of improved, internationally streamlined mitigation strategies for rainfall-related landslide clusters.

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“…O objetivo do presente estudo é entender o comportamento hidrológico da região Serrana do Rio de Janeiro, palco de grandes eventos de escorregamentos e inundações ao longo dos tempos (Domingues et al, 1971;Jones, 1973;COPPETEC, 2006;Marcelino, 2008;Coelho Netto et al, 2011). A região Serrana do Rio de Janeiro pode ser representada pela bacia hidrográfica do rio Piabanha (2065 km²), área geográfica onde ocorreu o Mega Desastre da Região Serrana, entre os dias 11 e 12 de janeiro de 2011, afetando significativamente os municípios de Nova Friburgo, Petrópolis e Teresópolis.…”

Section: Introductionunclassified

“…As descontinuidades do relevo em condições de alta pluviosidade geram grandes deslizamentos mesmo em regiões florestadas tal como no episódio do Mega Desastre da região Serrana em 2011 Coelho Netto et al, 2011;Banco Mundial, 2012;Pinho et al, 2013).…”

Section: Introductionunclassified

Hydrological Behavior of the Mountainous Region of Rio de Janeiro: Piabanha Watershed

2017

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The mountainous region of Rio de Janeiro has a history of natural disasters. The aim of this study was to understand the hydrology of this region. A dataset (up to 70 years) from four rainfall gauges and three stream gauges in Piabanha watershed (2065 km 2 ) was used for this purpose. Mean annual rainfall ranged from 2900 mm (at the headwaters) to 1250 mm in the central area of the watershed. The results showed good correlation between rainfall and stream gauges data. There is a seasonal pattern of dry winters (average month rainfall ranging from 15 to 90 mm) and 20 m 3 /s mean monthly discharge at the watershed outlet and a rainy summer (average month rainfall ranging from 150 to 450 mm) and 80 m 3 /s mean monthly discharge at the watershed outlet. The historical rainfall and discharge dataset showed a cyclicity of about 15 years bounded by the driest years. The most catastrophic events that occurred in the mountainous region of Rio de Janeiro were during the years around the top of the rainfall and discharge cycles. According to the historical trend the last cycle began at 1999 and the present moment (2015)(2016) matches the end of a drier period. However during this last cycle rainfall and discharge trends are not very clear. Together with an increase of great magnitude natural disasters frequency in recent years this may be a sign of an anthropogenic effect. Keywords: rainfall; streamflow; cycle; historical dataset; natural disasters ResumoA região serrana do Rio de Janeiro apresenta um histórico de desastres naturais. Com o objetivo de entender o comportamento hidrológico da região foram analisados dados de chuva (4 estações) e de vazão (3 estações) na bacia do rio Piabanha (2065 km 2 ) com séries históricas de até 70 anos. O total anual médio de pluviosidade variou de 2900 mm (na cabeceira) a 1250 mm na região central da bacia. Os resultados demonstraram boa correlação entre as estações e a existência de sazonalidade com inverno seco (valores médios mensais entre 15 e 90 mm de chuva) e vazão média na foz de 16 m 3 /s e verão chuvoso (valores médios mensais entre 150 e 450 mm de chuva) e vazão média na foz de 80 m 3 /s. As séries históricas de chuva e vazão apresentaram uma ciclicidade, de aproximadamente 15 anos, marcada por anos mais secos. Os dados apontam que os registros existentes de eventos catastróficos regionais foram em anos próximos aos ápices dos ciclos de pluviosidade e vazão propostos. O último ciclo identificado iniciou-se em 1999 e o período atual (2015)(2016) representa o fim deste ciclo, representado pela fase mais seca. Entretanto, neste último ciclo o comportamento da chuva e, principalmente, da vazão é muito variável. Isto, em conjunto com o aumento recente da frequência de desastres naturais de grande magnitude, pode ser um indicativo de efeito antrópico.

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January 2011: The Extreme Landslide Disaster in Brazil

Cited by 48 publications

References 3 publications

Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000

Understanding shallow landslides in Campos do Jordão municipality – Brazil: disentangling the anthropic effects from natural causes in the disaster of 2000

Global detection of rainfall-triggered landslide clusters

Hydrological Behavior of the Mountainous Region of Rio de Janeiro: Piabanha Watershed

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