SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL

Detalhes bibliográficos
Autor(a) principal: Nunes, Hikaro Kayo de Brito
Data de Publicação: 2020
Outros Autores: Aquino, Cláudia Maria Sabóia de
Tipo de documento: Artigo
Idioma: por
Título da fonte: GeoTextos (Online)
Texto Completo: https://periodicos.ufba.br/index.php/geotextos/article/view/35088
Resumo: The objective of this study is to analyze the socio-environmental vulnerability of the census tracts bordering the Poti River in the municipality of Teresina (Piauí/Brazil). From the use use of geoprocessing tools and field and laboratory activities, the crossing of 7 socioeconomic variables and 12 environmental variables to obtain socio-environmental vulnerability. The 72 census tracts were grouped into 4 classes of Socio-Environmental Vulnerability (IVSA): IVSA Very High (33% of the area), High (10% of the area), Medium (17% of the area) and Low (33%), besides the insufficient data of 7% of the sectors. In general, the census tracts located in the Center-North and part of the Southeast region were identified as the most vulnerable areas, requiring greater public attention.
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spelling SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZILVulnerabilidade socioambiental de setores censitários às margens do rio Poti, Teresina-Piauí-BrasilSocio-environmental VulnerabilityCensus sectorsPoti RiverTeresina/ PiauíSocioambientalSetores censitáriosRio PotiTeresina/PiauíThe objective of this study is to analyze the socio-environmental vulnerability of the census tracts bordering the Poti River in the municipality of Teresina (Piauí/Brazil). From the use use of geoprocessing tools and field and laboratory activities, the crossing of 7 socioeconomic variables and 12 environmental variables to obtain socio-environmental vulnerability. The 72 census tracts were grouped into 4 classes of Socio-Environmental Vulnerability (IVSA): IVSA Very High (33% of the area), High (10% of the area), Medium (17% of the area) and Low (33%), besides the insufficient data of 7% of the sectors. In general, the census tracts located in the Center-North and part of the Southeast region were identified as the most vulnerable areas, requiring greater public attention.O estudo apresenta como objetivo analisar a vulnerabilidade socioambiental dos setores censitários que margeiam o rio Poti no município de Teresina (Piauí/Brasil). A partir do emprego de ferramentas de geoprocessamento e atividades de campo e de laboratório, realizou-se o cruzamento de 7 variáveis socioeconômicas e 12 variáveis ambientais para obtenção da vulnerabilidade socioambiental. Os 72 setores censitários foram agrupados em 4 classes de Vulnerabilidade Socioambiental (IVSA). Os resultados indicaram que 33% da área apresentou IVSA Muito Alto; em 10% da área o IVSA foi Alto; em 17% o IVSA foi Médio e em 33% da área o IVSA foi Baixo, além da insuficiência de dados de 7% dos setores. De forma geral, os setores censitários localizados nas regiões Centro-Norte e parte da região Sudeste foram identificados como as áreas mais vulneráveis, exigindo maior atenção do poder público. Universidade Federal da Bahia2020-06-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/geotextos/article/view/3508810.9771/geo.v16i1.35088GeoTextos; Vol. 16, N. 1 (julho de 2020)1984-55371809-189Xreponame:GeoTextos (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/geotextos/article/view/35088/21429Copyright (c) 2020 Hikaro Kayo de Brito Nunes, Cláudia Maria Sabóia de Aquinoinfo:eu-repo/semantics/openAccessNunes, Hikaro Kayo de Brito Aquino, Cláudia Maria Sabóia de 2021-12-21T21:08:11Zoai:ojs.periodicos.ufba.br:article/35088Revistahttps://periodicos.ufba.br/index.php/geotextosPUBhttps://periodicos.ufba.br/index.php/geotextos/oaiangeloserpa@hotmail.com||rodrigomei@hotmail.com1984-55371809-189Xopendoar:2021-12-21T21:08:11GeoTextos (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
Vulnerabilidade socioambiental de setores censitários às margens do rio Poti, Teresina-Piauí-Brasil
title SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
spellingShingle SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
Nunes, Hikaro Kayo de Brito
Socio-environmental Vulnerability
Census sectors
Poti River
Teresina/ Piauí
Socioambiental
Setores censitários
Rio Poti
Teresina/Piauí
title_short SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
title_full SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
title_fullStr SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
title_full_unstemmed SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
title_sort SOCIO-ENVIRONMENTAL VULNERABILITY OF CENSITIVE SECTORS INTO THE MARGINS OF THE POTI RIVER, TERESINA-PIAUÍ-BRAZIL
author Nunes, Hikaro Kayo de Brito
author_facet Nunes, Hikaro Kayo de Brito
Aquino, Cláudia Maria Sabóia de
author_role author
author2 Aquino, Cláudia Maria Sabóia de
author2_role author
dc.contributor.author.fl_str_mv Nunes, Hikaro Kayo de Brito
Aquino, Cláudia Maria Sabóia de
dc.subject.por.fl_str_mv Socio-environmental Vulnerability
Census sectors
Poti River
Teresina/ Piauí
Socioambiental
Setores censitários
Rio Poti
Teresina/Piauí
topic Socio-environmental Vulnerability
Census sectors
Poti River
Teresina/ Piauí
Socioambiental
Setores censitários
Rio Poti
Teresina/Piauí
description The objective of this study is to analyze the socio-environmental vulnerability of the census tracts bordering the Poti River in the municipality of Teresina (Piauí/Brazil). From the use use of geoprocessing tools and field and laboratory activities, the crossing of 7 socioeconomic variables and 12 environmental variables to obtain socio-environmental vulnerability. The 72 census tracts were grouped into 4 classes of Socio-Environmental Vulnerability (IVSA): IVSA Very High (33% of the area), High (10% of the area), Medium (17% of the area) and Low (33%), besides the insufficient data of 7% of the sectors. In general, the census tracts located in the Center-North and part of the Southeast region were identified as the most vulnerable areas, requiring greater public attention.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufba.br/index.php/geotextos/article/view/35088
10.9771/geo.v16i1.35088
url https://periodicos.ufba.br/index.php/geotextos/article/view/35088
identifier_str_mv 10.9771/geo.v16i1.35088
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/geotextos/article/view/35088/21429
dc.rights.driver.fl_str_mv Copyright (c) 2020 Hikaro Kayo de Brito Nunes, Cláudia Maria Sabóia de Aquino
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Hikaro Kayo de Brito Nunes, Cláudia Maria Sabóia de Aquino
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Bahia
publisher.none.fl_str_mv Universidade Federal da Bahia
dc.source.none.fl_str_mv GeoTextos; Vol. 16, N. 1 (julho de 2020)
1984-5537
1809-189X
reponame:GeoTextos (Online)
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
institution UFBA
reponame_str GeoTextos (Online)
collection GeoTextos (Online)
repository.name.fl_str_mv GeoTextos (Online) - Universidade Federal da Bahia (UFBA)
repository.mail.fl_str_mv angeloserpa@hotmail.com||rodrigomei@hotmail.com
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