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Reference TypeJournal Article
Identifier8JMKD3MGP3W/3UGDGKM
Repositorysid.inpe.br/plutao/2019/12.03.17.37.22   (restricted access)
Metadatasid.inpe.br/plutao/2019/12.03.17.37.23
Siteplutao.sid.inpe.br
Labellattes: 0654596992211296 2 CardozoViei:2019:AsSoVu
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Citation KeyCardozoMont:2019:AsSoVu
Author1 Cardozo, Claudia Paola
2 Monteiro, Antônio Miguel Vieira
Resume Identifier1
2 8JMKD3MGP5W/3C9JGJN
Group1
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 paola.cardozo.del@gmail.com
2 miguel.monteiro@inpe.br
TitleAssessing social vulnerability to natural hazards in Nova Friburgo, Rio de Janeiro Mountain Region, Brazil
JournalRevista de Estudios Latinoamericanos Sobre Reducción Del Riesgo de Desastres (REDER)
Year2019
Volume3
Number2
KeywordsSocial vulnerability, Natural hazards, Principal Component Analysis, Brazil, Vulnerabilidad Social, Peligros Naturales, Análisis de Componentes Principales, Brasil.
AbstractBrazil faces a complex scenario of natural hazards, essentially as a direct result of its size, diversity and both its natural and social heterogeneity. In 2011, massive landslides were triggered by extreme rainfall that caused the so-called Mega disaster in the mountainous region of Rio de Janeiro. This paper describes the development of a social vulnerability index at the census tract level using SoVI method. It also examines the potential value of the Social Vulnerability Index to explain the impact of the 2011 landslides on population of Nova Friburgo municipality. Principal Component analysis reveals that six factors explain 73.6% of the data variance. Spatial pattern analysis suggests that about 84% of the area is classified with moderate level of social vulnerability. The highest social vulnerability values are concentrated in areas where population density is high and the main economic activities are developed. The resulting knowledge provides to local community, government and civil organizations with a basis to comprehend the geography and drivers of social vulnerability, which can be leveraged to achieve an effective preparation and response to face future natural hazards and also to promote disaster-resilient societies. RESUMEN: Brasil enfrenta un escenario complejo de peligros naturales, como resultado directo de su tamaño, diversidad y heterogeneidad tanto social como natural. En 2011, se produjeron deslizamientos masivos provocados por lluvias extremas que causaron el denominado Megadesastre en la región montañosa de Rio de Janeiro. Este trabajo describe el desarrollo de un Índice de Vulnerabilidad Social a nivel de distrito censal, utilizando el método SoVI. También examina el valor potencial del índice para explicar el impacto de los deslizamientos de 2011 en la población de Nova Friburgo. El Análisis de Componentes Principales (ACP) revela que seis factores explican el 73.6% de la varianza de los datos. El análisis de patrones espaciales sugiere que aproximadamente el 84% del área es clasificada con nivel moderado de vulnerabilidad social. Los valores más altos se registran donde la densidad de población es alta y además se desarrollan las principales actividades económicas. El conocimiento resultante proporciona a la comunidad local, al gobierno y a las organizaciones civiles una base para comprender la geografía y los impulsores de la vulnerabilidad social, que pueden aprovecharse para lograr una preparación y respuesta efectivas para enfrentar futuros peligros naturales y también para promover sociedades resilientes a los desastres.
Pages71-83
Languageen
URL (untrusted data)http://revistareder.com/ojs/index.php/reder/article/viewFile/33/35
Type of Workjournal article
AreaSRE
Size1265 KiB
Number of Files1
Target Filecardozo_assessing.pdf
Last Update2019:12.05.15.26.17 dpi.inpe.br/plutao@80/2008/08.19.15.01 lattes
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Content TypeExternal Contribution
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Version Typepublisher
Read Permissiondeny from all and allow from 150.163
Next Higher Units8JMKD3MGPCW/3EQCCU5
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History2019-12-03 17:37:23 :: lattes -> administrator ::
2019-12-04 22:15:37 :: administrator -> lattes :: 2019
2019-12-06 19:48:46 :: lattes -> administrator :: 2019
2019-12-09 20:33:47 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2019
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Access Date2019, Dec. 10
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