Articles | Volume 23, issue 3
https://doi.org/10.5194/nhess-23-1157-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-1157-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Mar 2023
Research article |
| 21 Mar 2023
| 21 Mar 2023
Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
José A. Marengo
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
José Mantovani
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
Luciana R. Londe
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Rachel Lau Yu San
National Institute of Education, Earth Observatory of Singapore and
Asian School of the Environment, Nanyang Technological University (NTU), Singapore
Edward Park
National Institute of Education, Earth Observatory of Singapore and
Asian School of the Environment, Nanyang Technological University (NTU), Singapore
Yunung Nina Lin
Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan
Jingyu Wang
National Institute of Education, Earth Observatory of Singapore and
Asian School of the Environment, Nanyang Technological University (NTU), Singapore
Tatiana Mendes
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
Department of Environmental Engineering, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
Ana Paula Cunha
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Luana Pampuch
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
Department of Environmental Engineering, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
Marcelo Seluchi
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Silvio Simões
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
Luz Adriana Cuartas
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Demerval Goncalves
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Klécia Massi
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
Department of Environmental Engineering, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
Regina Alvalá
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Osvaldo Moraes
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Carlos Souza Filho
Institute of Geosciences (IG/Unicamp), University of Campinas, Campinas, Brazil
Rodolfo Mendes
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil
Carlos Nobre
Graduate Program in Natural Disasters, Unesp/CEMADEN, São José dos Campos, Brazil
Institute of Advanced Studies, University of São Paulo (IEA/USP), São Paulo, Brazil
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Cited
6 citations as recorded by crossref.
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Novel Landslide Susceptibility Mapping Based on Multi-criteria Decision-Making in Ouro Preto, Brazil J. Mantovani et al. 10.1007/s41651-023-00138-0
- Traditional and local communities as key actors to identify climate-related disaster impacts: a citizen science approach in Southeast Brazilian coastal areas R. Pereira et al. 10.3389/fclim.2023.1243008
- Hydrological and Precipitation Extremes and Trends over the Paraiba do Sul River Basin, Brazil D. de Oliveira et al. 10.3390/cli11070138
- Rainfall disasters under the changing climate: a case study for the Rio de Janeiro mountainous region G. Alves et al. 10.1007/s11069-022-05727-8
- Mechanisms controlling persistent South Atlantic Convergence Zone events on intraseasonal timescales W. Fialho et al. 10.1007/s00704-023-04375-7
4 citations as recorded by crossref.
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Novel Landslide Susceptibility Mapping Based on Multi-criteria Decision-Making in Ouro Preto, Brazil J. Mantovani et al. 10.1007/s41651-023-00138-0
- Traditional and local communities as key actors to identify climate-related disaster impacts: a citizen science approach in Southeast Brazilian coastal areas R. Pereira et al. 10.3389/fclim.2023.1243008
- Hydrological and Precipitation Extremes and Trends over the Paraiba do Sul River Basin, Brazil D. de Oliveira et al. 10.3390/cli11070138
2 citations as recorded by crossref.
Latest update: 28 Nov 2023
Short summary
The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains...
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