Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.4136/ambi-agua.2558 http://hdl.handle.net/11449/205553 |
Resumo: | Global climate change and the consequent occurrence of extreme events will impact societies on a large-scale, with intense rainfall tending to trigger a greater number of hazards caused by climatic events, especially landslides. The incidence of this type of event is conditioned by the combination of several environmental and human factors, such as land use and cover patterns, geomorphological characteristics, and extreme climate. This study analyzed, through the classification of land use and cover and simulation of rainfall, future scenarios in the Paraitinga River watershed, in the southeastern region of Brazil. Precipitation data were used from the MIROC5/Eta model, using the scenario RCP 4.5 (Representative Concentration Pathway) from the IPCC (Intergovernmental Panel on Climate Change) and comparing data from past (1971-2000) and future (2021-2050) periods. The results estimate an increase in consecutive dry days and intense and very intense rainfall, pointing to heavy and concentrated rainfall in the future. An increase of 31.8% in accumulated precipitation over 72 hours that triggers landslides was also predicted, and this increase encompasses 41.6% of the areas of medium and high frequency of incidence of this type of geological event in the study area. |
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Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazilCenário futuro (2021-2050) dos extremos de precipitações que desencadeiam deslizamentos de massa-estudo de caso da bacia do rio paraitinga, sp, brasilAtlantic ForestClimate simulationMIROC5/EtaGlobal climate change and the consequent occurrence of extreme events will impact societies on a large-scale, with intense rainfall tending to trigger a greater number of hazards caused by climatic events, especially landslides. The incidence of this type of event is conditioned by the combination of several environmental and human factors, such as land use and cover patterns, geomorphological characteristics, and extreme climate. This study analyzed, through the classification of land use and cover and simulation of rainfall, future scenarios in the Paraitinga River watershed, in the southeastern region of Brazil. Precipitation data were used from the MIROC5/Eta model, using the scenario RCP 4.5 (Representative Concentration Pathway) from the IPCC (Intergovernmental Panel on Climate Change) and comparing data from past (1971-2000) and future (2021-2050) periods. The results estimate an increase in consecutive dry days and intense and very intense rainfall, pointing to heavy and concentrated rainfall in the future. An increase of 31.8% in accumulated precipitation over 72 hours that triggers landslides was also predicted, and this increase encompasses 41.6% of the areas of medium and high frequency of incidence of this type of geological event in the study area.Universidade de Taubaté (UNITAU) Estrada Municipal Doutor José Luiz Cembranelli, n°5000Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP-CEMADEN), Estrada Municipal Altino Bondesan, n°500Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP-CEMADEN), Estrada Municipal Altino Bondesan, n°500Estrada Municipal Doutor José Luiz CembranelliUniversidade Estadual Paulista (Unesp)da Silva, Rodrigo Cesar [UNESP]Mendes, Rodolfo MoredaFisch, Gilberto2021-06-25T10:17:18Z2021-06-25T10:17:18Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-18http://dx.doi.org/10.4136/ambi-agua.2558Revista Ambiente e Agua, v. 15, n. 7, p. 1-18, 2020.1980-993Xhttp://hdl.handle.net/11449/20555310.4136/ambi-agua.25582-s2.0-85096967017Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Ambiente e Aguainfo:eu-repo/semantics/openAccess2021-10-23T14:48:22Zoai:repositorio.unesp.br:11449/205553Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:20:07.693849Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil Cenário futuro (2021-2050) dos extremos de precipitações que desencadeiam deslizamentos de massa-estudo de caso da bacia do rio paraitinga, sp, brasil |
title |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil |
spellingShingle |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil da Silva, Rodrigo Cesar [UNESP] Atlantic Forest Climate simulation MIROC5/Eta |
title_short |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil |
title_full |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil |
title_fullStr |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil |
title_full_unstemmed |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil |
title_sort |
Future scenarios (2021-2050) of extreme precipitation events that trigger landslides – a case study of the paraitinga river watershed, sp, brazil |
author |
da Silva, Rodrigo Cesar [UNESP] |
author_facet |
da Silva, Rodrigo Cesar [UNESP] Mendes, Rodolfo Moreda Fisch, Gilberto |
author_role |
author |
author2 |
Mendes, Rodolfo Moreda Fisch, Gilberto |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Estrada Municipal Doutor José Luiz Cembranelli Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
da Silva, Rodrigo Cesar [UNESP] Mendes, Rodolfo Moreda Fisch, Gilberto |
dc.subject.por.fl_str_mv |
Atlantic Forest Climate simulation MIROC5/Eta |
topic |
Atlantic Forest Climate simulation MIROC5/Eta |
description |
Global climate change and the consequent occurrence of extreme events will impact societies on a large-scale, with intense rainfall tending to trigger a greater number of hazards caused by climatic events, especially landslides. The incidence of this type of event is conditioned by the combination of several environmental and human factors, such as land use and cover patterns, geomorphological characteristics, and extreme climate. This study analyzed, through the classification of land use and cover and simulation of rainfall, future scenarios in the Paraitinga River watershed, in the southeastern region of Brazil. Precipitation data were used from the MIROC5/Eta model, using the scenario RCP 4.5 (Representative Concentration Pathway) from the IPCC (Intergovernmental Panel on Climate Change) and comparing data from past (1971-2000) and future (2021-2050) periods. The results estimate an increase in consecutive dry days and intense and very intense rainfall, pointing to heavy and concentrated rainfall in the future. An increase of 31.8% in accumulated precipitation over 72 hours that triggers landslides was also predicted, and this increase encompasses 41.6% of the areas of medium and high frequency of incidence of this type of geological event in the study area. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2021-06-25T10:17:18Z 2021-06-25T10:17:18Z |
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/10.4136/ambi-agua.2558 Revista Ambiente e Agua, v. 15, n. 7, p. 1-18, 2020. 1980-993X http://hdl.handle.net/11449/205553 10.4136/ambi-agua.2558 2-s2.0-85096967017 |
url |
http://dx.doi.org/10.4136/ambi-agua.2558 http://hdl.handle.net/11449/205553 |
identifier_str_mv |
Revista Ambiente e Agua, v. 15, n. 7, p. 1-18, 2020. 1980-993X 10.4136/ambi-agua.2558 2-s2.0-85096967017 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Ambiente e Agua |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-18 |
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_ |
1808128792546246656 |