Challenges in landslides risk management in Brazilian slums: a method proposition to prioritizing areas to be mapped in the Municipal Risk Reduction Plan of Niterói, RJ

ABSTRACT In the context of climate emergency, extreme events are expected to become more intense and frequent, disproportionately affecting vulnerable communities. Extreme rainfall events can trigger large-scale and numerous landslides. A landslide risk management approach that focuses not only on response but also on prevention and adaptation becomes crucial. In the city of Niterói - RJ, there are over 100 slums, most of which are located in steep hillslope areas. The method proposed here for creating a qualitative risk index (IR) has been applied and is being validated in the development of the Municipal Risk Reduction Plan of Niteroi. The IR combines information on past landslide occurrences and interdictions, vulnerability data, and the susceptibility of the areas —using the SHALSTAB model, to create a ranking of high-risk areas within the slums. Ranking high-risk areas may guide the allocation of technical and financial resources in the field.

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Journal
Revista Brasileira de Recursos Hídricos
Published
2025-01-01
DOI
https://doi.org/10.1590/2318-0331.302520250027
Primary Topic
Landslides and related hazards
Type
article
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article

Challenges in landslides risk management in Brazilian slums: a method proposition to prioritizing areas to be mapped in the Municipal Risk Reduction Plan of Niterói, RJ

Gean Paulo Michel, Vanessa C. S. Cardoso, Ivanovich Lache Salcedo, Franciele Zanandrea et al.
Revista Brasileira de Recursos Hídricos
Landslides and related hazards
article

Challenges in landslides risk management in Brazilian slums: a method proposition to prioritizing areas to be mapped in the Municipal Risk Reduction Plan of Niterói, RJ

Gean Paulo Michel, Vanessa C. S. Cardoso, Ivanovich Lache Salcedo, Franciele Zanandrea, Lúcia Dinnies Santos, Camila Athanázio de Azevedo, Dênis Gabriel Andrade Oliveira Silva, Aimée Guida, Isadora Tschiedel Thys
article en

Abstract

ABSTRACT In the context of climate emergency, extreme events are expected to become more intense and frequent, disproportionately affecting vulnerable communities. Extreme rainfall events can trigger large-scale and numerous landslides. A landslide risk management approach that focuses not only on response but also on prevention and adaptation becomes crucial. In the city of Niterói - RJ, there are over 100 slums, most of which are located in steep hillslope areas. The method proposed here for creating a qualitative risk index (IR) has been applied and is being validated in the development of the Municipal Risk Reduction Plan of Niteroi. The IR combines information on past landslide occurrences and interdictions, vulnerability data, and the susceptibility of the areas —using the SHALSTAB model, to create a ranking of high-risk areas within the slums. Ranking high-risk areas may guide the allocation of technical and financial resources in the field.

Revista Brasileira de Recursos HídricosVol. 30
Universidade Federal do Rio Grande do Sul (BR), Universidade Federal Fluminense (BR), Instituto Federal de Educação, Ciência e Tecnologia de Alagoas (BR)
Openalex Percentile: Top 78%
Landslides and related hazards
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