Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro

Detalhes bibliográficos
Autor(a) principal: Alcantara, Enner [UNESP]
Data de Publicação: 2023
Outros Autores: Marengo, José A. [UNESP], Mantovani, José [UNESP], Londe, Luciana R. [UNESP], San, Rachel Lau Yu, Park, Edward, Lin, Yunung Nina, Wang, Jingyu, Mendes, Tatiana [UNESP], Cunha, Ana Paula [UNESP], Pampuch, Luana, Seluchi, Marcelo [UNESP], Simões, Silvio [UNESP], Cuartas, Luz Adriana [UNESP], Goncalves, Demerval, Massi, Klécia [UNESP], Alvalá, Regina [UNESP], Moraes, Osvaldo [UNESP], Filho, Carlos Souza, Mendes, Rodolfo [UNESP], Nobre, Carlos [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5194/nhess-23-1157-2023
http://hdl.handle.net/11449/249814
Resumo: On 15 February 2022, the city of Petrópolis in the highlands of the state of Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm), generated by a strongly invigorated mesoscale convective system. It resulted in flash floods and subsequent landslides that caused the deadliest landslide disaster recorded in Petrópolis, with 231 fatalities. In this paper, we analyzed the root causes and the key triggering factors of this landslide disaster by assessing the spatial relationship of landslide occurrence with various environmental factors. Rainfall data were retrieved from 1977 to 2022 (a combination of ground weather stations and the Climate Hazards Group InfraRed Precipitation - CHIRPS). Remotely sensed data were used to map the landslide scars, soil moisture, terrain attributes, line-of-sight displacement (land surface deformation), and urban sprawling (1985-2020). The results showed that the average monthly rainfall for February 2022 was 200 mm, the heaviest recorded in Petrópolis since 1932. Heavy rainfall was also recorded mostly in regions where the landslide occurred, according to analyses of the rainfall spatial distribution. As for terrain, 23 % of slopes between 45-60 had landslide occurrences and east-facing slopes appeared to be the most conducive for landslides as they recorded landslide occurrences of about 9 % to 11 %. Regarding the soil moisture, higher variability was found in the lower altitude (842 m) where the residential area is concentrated. Based on our land deformation assessment, the area is geologically stable, and the landslide occurred only in the thin layer at the surface. Out of the 1700 buildings found in the region of interest, 1021 are on the slope between 20 to 45 and about 60 houses were directly affected by the landslides. As such, we conclude that the heavy rainfall was not the only cause responsible for the catastrophic event of 15 February 2022; a combination of unplanned urban growth on slopes between 45-60 , removal of vegetation, and the absence of inspection were also expressive driving forces of this disaster.
id UNSP_ad6c7c38aa773d86f3f2b7a05cf0e881
oai_identifier_str oai:repositorio.unesp.br:11449/249814
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de JaneiroOn 15 February 2022, the city of Petrópolis in the highlands of the state of Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm), generated by a strongly invigorated mesoscale convective system. It resulted in flash floods and subsequent landslides that caused the deadliest landslide disaster recorded in Petrópolis, with 231 fatalities. In this paper, we analyzed the root causes and the key triggering factors of this landslide disaster by assessing the spatial relationship of landslide occurrence with various environmental factors. Rainfall data were retrieved from 1977 to 2022 (a combination of ground weather stations and the Climate Hazards Group InfraRed Precipitation - CHIRPS). Remotely sensed data were used to map the landslide scars, soil moisture, terrain attributes, line-of-sight displacement (land surface deformation), and urban sprawling (1985-2020). The results showed that the average monthly rainfall for February 2022 was 200 mm, the heaviest recorded in Petrópolis since 1932. Heavy rainfall was also recorded mostly in regions where the landslide occurred, according to analyses of the rainfall spatial distribution. As for terrain, 23 % of slopes between 45-60 had landslide occurrences and east-facing slopes appeared to be the most conducive for landslides as they recorded landslide occurrences of about 9 % to 11 %. Regarding the soil moisture, higher variability was found in the lower altitude (842 m) where the residential area is concentrated. Based on our land deformation assessment, the area is geologically stable, and the landslide occurred only in the thin layer at the surface. Out of the 1700 buildings found in the region of interest, 1021 are on the slope between 20 to 45 and about 60 houses were directly affected by the landslides. As such, we conclude that the heavy rainfall was not the only cause responsible for the catastrophic event of 15 February 2022; a combination of unplanned urban growth on slopes between 45-60 , removal of vegetation, and the absence of inspection were also expressive driving forces of this disaster.Graduate Program in Natural Disasters Unesp/CEMADENNational Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)National Institute of Education Earth Observatory of Singapore and Asian School of the Environment Nanyang Technological University (NTU)Institute of Earth Sciences Academia SinicaDepartment of Environmental Engineering Institute of Science and Technology São Paulo State University (Unesp)Institute of Geosciences (IG/Unicamp) University of CampinasInstitute of Advanced Studies University of São Paulo (IEA/USP)Graduate Program in Natural Disasters Unesp/CEMADENDepartment of Environmental Engineering Institute of Science and Technology São Paulo State University (Unesp)Universidade Estadual Paulista (UNESP)National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)Nanyang Technological University (NTU)Academia SinicaUniversidade Estadual de Campinas (UNICAMP)Universidade de São Paulo (USP)Alcantara, Enner [UNESP]Marengo, José A. [UNESP]Mantovani, José [UNESP]Londe, Luciana R. [UNESP]San, Rachel Lau YuPark, EdwardLin, Yunung NinaWang, JingyuMendes, Tatiana [UNESP]Cunha, Ana Paula [UNESP]Pampuch, LuanaSeluchi, Marcelo [UNESP]Simões, Silvio [UNESP]Cuartas, Luz Adriana [UNESP]Goncalves, DemervalMassi, Klécia [UNESP]Alvalá, Regina [UNESP]Moraes, Osvaldo [UNESP]Filho, Carlos SouzaMendes, Rodolfo [UNESP]Nobre, Carlos [UNESP]2023-07-29T16:09:58Z2023-07-29T16:09:58Z2023-03-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1157-1175http://dx.doi.org/10.5194/nhess-23-1157-2023Natural Hazards and Earth System Sciences, v. 23, n. 3, p. 1157-1175, 2023.1684-99811561-8633http://hdl.handle.net/11449/24981410.5194/nhess-23-1157-20232-s2.0-85151442372Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNatural Hazards and Earth System Sciencesinfo:eu-repo/semantics/openAccess2024-07-04T19:06:03Zoai:repositorio.unesp.br:11449/249814Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:28:35.669044Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
title Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
spellingShingle Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
Alcantara, Enner [UNESP]
title_short Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
title_full Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
title_fullStr Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
title_full_unstemmed Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
title_sort Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
author Alcantara, Enner [UNESP]
author_facet Alcantara, Enner [UNESP]
Marengo, José A. [UNESP]
Mantovani, José [UNESP]
Londe, Luciana R. [UNESP]
San, Rachel Lau Yu
Park, Edward
Lin, Yunung Nina
Wang, Jingyu
Mendes, Tatiana [UNESP]
Cunha, Ana Paula [UNESP]
Pampuch, Luana
Seluchi, Marcelo [UNESP]
Simões, Silvio [UNESP]
Cuartas, Luz Adriana [UNESP]
Goncalves, Demerval
Massi, Klécia [UNESP]
Alvalá, Regina [UNESP]
Moraes, Osvaldo [UNESP]
Filho, Carlos Souza
Mendes, Rodolfo [UNESP]
Nobre, Carlos [UNESP]
author_role author
author2 Marengo, José A. [UNESP]
Mantovani, José [UNESP]
Londe, Luciana R. [UNESP]
San, Rachel Lau Yu
Park, Edward
Lin, Yunung Nina
Wang, Jingyu
Mendes, Tatiana [UNESP]
Cunha, Ana Paula [UNESP]
Pampuch, Luana
Seluchi, Marcelo [UNESP]
Simões, Silvio [UNESP]
Cuartas, Luz Adriana [UNESP]
Goncalves, Demerval
Massi, Klécia [UNESP]
Alvalá, Regina [UNESP]
Moraes, Osvaldo [UNESP]
Filho, Carlos Souza
Mendes, Rodolfo [UNESP]
Nobre, Carlos [UNESP]
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)
Nanyang Technological University (NTU)
Academia Sinica
Universidade Estadual de Campinas (UNICAMP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Alcantara, Enner [UNESP]
Marengo, José A. [UNESP]
Mantovani, José [UNESP]
Londe, Luciana R. [UNESP]
San, Rachel Lau Yu
Park, Edward
Lin, Yunung Nina
Wang, Jingyu
Mendes, Tatiana [UNESP]
Cunha, Ana Paula [UNESP]
Pampuch, Luana
Seluchi, Marcelo [UNESP]
Simões, Silvio [UNESP]
Cuartas, Luz Adriana [UNESP]
Goncalves, Demerval
Massi, Klécia [UNESP]
Alvalá, Regina [UNESP]
Moraes, Osvaldo [UNESP]
Filho, Carlos Souza
Mendes, Rodolfo [UNESP]
Nobre, Carlos [UNESP]
description On 15 February 2022, the city of Petrópolis in the highlands of the state of Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm), generated by a strongly invigorated mesoscale convective system. It resulted in flash floods and subsequent landslides that caused the deadliest landslide disaster recorded in Petrópolis, with 231 fatalities. In this paper, we analyzed the root causes and the key triggering factors of this landslide disaster by assessing the spatial relationship of landslide occurrence with various environmental factors. Rainfall data were retrieved from 1977 to 2022 (a combination of ground weather stations and the Climate Hazards Group InfraRed Precipitation - CHIRPS). Remotely sensed data were used to map the landslide scars, soil moisture, terrain attributes, line-of-sight displacement (land surface deformation), and urban sprawling (1985-2020). The results showed that the average monthly rainfall for February 2022 was 200 mm, the heaviest recorded in Petrópolis since 1932. Heavy rainfall was also recorded mostly in regions where the landslide occurred, according to analyses of the rainfall spatial distribution. As for terrain, 23 % of slopes between 45-60 had landslide occurrences and east-facing slopes appeared to be the most conducive for landslides as they recorded landslide occurrences of about 9 % to 11 %. Regarding the soil moisture, higher variability was found in the lower altitude (842 m) where the residential area is concentrated. Based on our land deformation assessment, the area is geologically stable, and the landslide occurred only in the thin layer at the surface. Out of the 1700 buildings found in the region of interest, 1021 are on the slope between 20 to 45 and about 60 houses were directly affected by the landslides. As such, we conclude that the heavy rainfall was not the only cause responsible for the catastrophic event of 15 February 2022; a combination of unplanned urban growth on slopes between 45-60 , removal of vegetation, and the absence of inspection were also expressive driving forces of this disaster.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T16:09:58Z
2023-07-29T16:09:58Z
2023-03-21
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5194/nhess-23-1157-2023
Natural Hazards and Earth System Sciences, v. 23, n. 3, p. 1157-1175, 2023.
1684-9981
1561-8633
http://hdl.handle.net/11449/249814
10.5194/nhess-23-1157-2023
2-s2.0-85151442372
url http://dx.doi.org/10.5194/nhess-23-1157-2023
http://hdl.handle.net/11449/249814
identifier_str_mv Natural Hazards and Earth System Sciences, v. 23, n. 3, p. 1157-1175, 2023.
1684-9981
1561-8633
10.5194/nhess-23-1157-2023
2-s2.0-85151442372
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Natural Hazards and Earth System Sciences
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1157-1175
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128658880069632