Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Lopez, Maria del Carmen Sanz
Data de Publicação: 2023
Outros Autores: Pinaya, Jorge Luiz Diaz, Pereira Filho, Augusto José, Vemado, Fe-Lipe, Reis, Fábio Augusto Gomes Vieira [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/cli11030073
http://hdl.handle.net/11449/247056
Resumo: Extreme rainfall events cause diverse loss of life and economic losses. These disasters include flooding, landslides, and erosion. For these intense rainfall events, one can statistically estimate the time when a given rainfall volume will occur. Initially, this work estimated rainfall volumes for the mountainous region of Rio de Janeiro, and the frequency with which rainfall events occur. For this, we analyzed daily precipitation data using the ANOBES method and the Gumbel statistical distribution to estimate return times. Extreme prec’ipitation volumes of up to 240 mm per day were identified in some locations, with 100 years or more return periods. On 11 January 2011 precipitation volumes were high, but on 12 January they were extreme, similar to the 100-year return time data. The analysis method presented enables the determination of the return time of heavy rainfall, assisting in the prevention of its effects. Knowledge of the atmospheric configuration enables decision support. The atmospheric systems that combined to cause the event were local circulations (orographic and sea breeze) and large-scale systems (SACZ and frontal systems).
id UNSP_6501a238750f6ece205d7373adb5cf83
oai_identifier_str oai:repositorio.unesp.br:11449/247056
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazilextreme precipitation eventsfloodslandslidesrainfallExtreme rainfall events cause diverse loss of life and economic losses. These disasters include flooding, landslides, and erosion. For these intense rainfall events, one can statistically estimate the time when a given rainfall volume will occur. Initially, this work estimated rainfall volumes for the mountainous region of Rio de Janeiro, and the frequency with which rainfall events occur. For this, we analyzed daily precipitation data using the ANOBES method and the Gumbel statistical distribution to estimate return times. Extreme prec’ipitation volumes of up to 240 mm per day were identified in some locations, with 100 years or more return periods. On 11 January 2011 precipitation volumes were high, but on 12 January they were extreme, similar to the 100-year return time data. The analysis method presented enables the determination of the return time of heavy rainfall, assisting in the prevention of its effects. Knowledge of the atmospheric configuration enables decision support. The atmospheric systems that combined to cause the event were local circulations (orographic and sea breeze) and large-scale systems (SACZ and frontal systems).PetrobrasInstituto de Astronômia Geofísica e Ciências Atmosféricas da Universidade de São Paulo Departamento de Ciências AtmosféricaPolytechnic School Universidade de São PauloInstituto de Geociências e Ciências Exatas Universidade Estadual PaulistaInstituto de Geociências e Ciências Exatas Universidade Estadual PaulistaPetrobras: 2014/438-9Universidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Lopez, Maria del Carmen SanzPinaya, Jorge Luiz DiazPereira Filho, Augusto JoséVemado, Fe-LipeReis, Fábio Augusto Gomes Vieira [UNESP]2023-07-29T12:57:51Z2023-07-29T12:57:51Z2023-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/cli11030073Climate, v. 11, n. 3, 2023.2225-1154http://hdl.handle.net/11449/24705610.3390/cli110300732-s2.0-85150985100Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengClimateinfo:eu-repo/semantics/openAccess2023-07-29T12:57:51Zoai:repositorio.unesp.br:11449/247056Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:57:51Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
title Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
spellingShingle Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
Lopez, Maria del Carmen Sanz
extreme precipitation events
floods
landslides
rainfall
title_short Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
title_full Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
title_fullStr Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
title_full_unstemmed Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
title_sort Analysis of Extreme Precipitation Events in the Mountainous Region of Rio de Janeiro, Brazil
author Lopez, Maria del Carmen Sanz
author_facet Lopez, Maria del Carmen Sanz
Pinaya, Jorge Luiz Diaz
Pereira Filho, Augusto José
Vemado, Fe-Lipe
Reis, Fábio Augusto Gomes Vieira [UNESP]
author_role author
author2 Pinaya, Jorge Luiz Diaz
Pereira Filho, Augusto José
Vemado, Fe-Lipe
Reis, Fábio Augusto Gomes Vieira [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Lopez, Maria del Carmen Sanz
Pinaya, Jorge Luiz Diaz
Pereira Filho, Augusto José
Vemado, Fe-Lipe
Reis, Fábio Augusto Gomes Vieira [UNESP]
dc.subject.por.fl_str_mv extreme precipitation events
floods
landslides
rainfall
topic extreme precipitation events
floods
landslides
rainfall
description Extreme rainfall events cause diverse loss of life and economic losses. These disasters include flooding, landslides, and erosion. For these intense rainfall events, one can statistically estimate the time when a given rainfall volume will occur. Initially, this work estimated rainfall volumes for the mountainous region of Rio de Janeiro, and the frequency with which rainfall events occur. For this, we analyzed daily precipitation data using the ANOBES method and the Gumbel statistical distribution to estimate return times. Extreme prec’ipitation volumes of up to 240 mm per day were identified in some locations, with 100 years or more return periods. On 11 January 2011 precipitation volumes were high, but on 12 January they were extreme, similar to the 100-year return time data. The analysis method presented enables the determination of the return time of heavy rainfall, assisting in the prevention of its effects. Knowledge of the atmospheric configuration enables decision support. The atmospheric systems that combined to cause the event were local circulations (orographic and sea breeze) and large-scale systems (SACZ and frontal systems).
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:57:51Z
2023-07-29T12:57:51Z
2023-03-01
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/10.3390/cli11030073
Climate, v. 11, n. 3, 2023.
2225-1154
http://hdl.handle.net/11449/247056
10.3390/cli11030073
2-s2.0-85150985100
url http://dx.doi.org/10.3390/cli11030073
http://hdl.handle.net/11449/247056
identifier_str_mv Climate, v. 11, n. 3, 2023.
2225-1154
10.3390/cli11030073
2-s2.0-85150985100
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Climate
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1799965035389255680