Flash floods and landslides in the city of Recife, Northeast Brazil after heavy rain on May 25–28, 2022: Causes, impacts, and disaster preparedness

Marengo, José A.; Alcântara, Enner; Cunha, Ana Paula; Seluchi, Marcelo Enrique; Nobre, Carlos A.; Dolif, Giovanni; Gonçalves, Demerval Aparecido; Dias, M. Assis; Cuartas, Luz Adriana; Bender, Fabiani Denise; Ramos, Andrea M.; Mantovani, José Roberto Amaro; Alvalá, Regina Célia dos Santos; Moraes, Osvaldo L. L.

doi:10.1016/j.wace.2022.100545

Cited by 38 publications

(22 citation statements)

References 24 publications

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“…The city of Recife received 551 mm during 25-30 May, which is 140 mm more than its average total for May. The torrential rains affected 130,000 people and caused over 90 fatalities, and the city declared a state of emergency (Marengo et al 2023). In Alagoas, 97.6 mm of rain fell in 24 hours in Porto de Pedras Largo on 2 July, resulting in more than 39,000 people evacuating their homes due to flooding.…”

Section: S393mentioning

confidence: 99%

Regional Climates

Bissolli

Ganter

Mekonnen

et al. 2023

Bulletin of the American Meteorological Society

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Please note that on occasion different nations, even within the same section, may use unique periods to define their normal. Section introductions typically define the prevailing practices for that section, and exceptions will be noted within the text. In a similar way, many contributing authors use languages other than English as their primary professional language. To minimize additional loss of fidelity through re-interpretation after translation, editors have been conservative and careful to preserve the voice of the author. In some cases, this may result in abrupt transitions in style from section to section.

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Section: S393mentioning

confidence: 99%

Regional Climates

Bissolli

Ganter

Mekonnen

et al. 2023

Bulletin of the American Meteorological Society

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“…Examples of landslides in urban areas can be found in various regions of the world, including Algeria In Brazil, due to the geo-environmental conditions, several studies have been carried out in urban areas with a focus on landslide inventory, monitoring, and modeling in São Paulo (Cerri et al 2007), Rio de Janeiro (Jones 1973), Minas Gerais (Nola and Zuquette 2021), Pernambuco (Marengo et al 2023). Work in the neighboring cities of Vila Velha (Effgen and Marchioro 2017) and Vitória (Effgen et al 2018a) analyzed areas susceptible to mass movements, showing how the disorderly appropriation of geographical space by human activity in urban agglomerations supports the occurrence of landslides.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Mass Movements in an Urban Basin: A Case Study in the Fradinhos Drainage Basin, Vitória, Espírito Santo, Brazil

Couto,

Effgen,

Vieira

et al. 2024

Preprint

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Landslides are a widespread problem in Brazil due to the heavy rainfall typical of tropical environments. In urban areas, landslides can be catastrophic and can lead to significant economic and social losses. To prevent such catastrophes, it is crucial to comprehend the spatial distribution of mass movements in local dynamics. The aim of this study was to evaluate the spatial distribution of areas susceptible to shallow translational slides in the Fradinhos Drainage Basin (FDB), situated in Vitória, state of Espírito Santo (ES). To achieve this, we used the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model, along with geotechnical and hydrological data from five sampling points. An extreme rainfall event that lasted 24 days, with an accumulated rainfall of 744 mm was considered. The study revealed that 31% of the basin is unstable, with no significant increase in these areas during the rainfall period. Additionally, 86% of this area is in an Environmental Protection Zone. The results indicate that the FDB has a low susceptibility to shallow landslides, due to the existence of the Environmental Protection Zone, as this zone forms a protective belt at higher slopes. TRIGRS effectively identifies unstable zones and is an useful tool for identifying susceptibility, contributing to local management.

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“…The risks of landslide disasters due to extreme weather conditions persist even in recent years. For instance, the landslides and flash floods triggered by exceptionally heavy rains in Brazil between late May and early June 2022 caused 130 deaths in the states of Pernambuco, Alagoas, and Paraíba (Marengo et al., 2023). China represents one of the countries with the most human casualties associated with slope instabilities worldwide, with 725 reported fatal landslides resulting in 10,340 deaths, approximately 8 fatalities per million population, from 2004 to 2017 (Froude & Petley, 2018).…”

Section: Introductionmentioning

confidence: 99%

Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change

Lin,

Steger,

Pittore

et al. 2023

Earth's Future

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At first glance, assessing future landslide‐exposed population appears to be a straightforward task if landslide hazard estimates, climate change, and population projections are available. However, the intersection of landslide hazard with socioeconomic elements may result in significant variation of estimated landslide exposure due to considerable variations in population projections. This study aims to investigate the effects of different sources of population data on the evaluation of landslide‐exposed population in China under four Shared Socioeconomic Pathways (SSPs) scenarios. We utilize multiple global climate models (GCMs) from Coupled Model Intercomparison Project Phase 6 and six high‐resolution spatially explicit static and dynamic population data sets to drive available landslide models. The results indicate an overall rise in landslide hazard projections, with an increase in the potential impact area of 0.4%–2.7% and an increase in the landslide frequency of 4.7%–20.1%, depending on the SSPs scenarios and future periods. However, the likely changes in future landslide exposed population, as modeled by incorporating population data from different sources with landslide hazard, yield divergent outcomes depending on the population data source. Thus, some of the projections depict an increase in future landslide exposure, while others show a clear decrease. The nationwide divergence ranged from −64% to +48%. These divergent findings were mainly attributed to differences in population data and a lesser extent to variations in GCMs. The present findings highlight the need to pay closer attention to the dynamic evolution of the elements at risk and the associated data uncertainties.

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Flash floods and landslides in the city of Recife, Northeast Brazil after heavy rain on May 25–28, 2022: Causes, impacts, and disaster preparedness

Cited by 38 publications

References 24 publications

Regional Climates

Regional Climates

Dynamics of Mass Movements in an Urban Basin: A Case Study in the Fradinhos Drainage Basin, Vitória, Espírito Santo, Brazil

Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change

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