MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Boletim de Ciências Geodésicas |
Texto Completo: | https://revistas.ufpr.br/bcg/article/view/58632 |
Resumo: | The social and economic impacts caused by floods in urban areas are diverse and increase as the land becomes gradually impervious. Due to the increasing urbanization of cities, it is necessary to implement a better planning process and optimize the urban spaces management and occupation. Thus, the government needs to gather reliable and useful data for the decision-making process. Therefore, the GIS plays an important role among urban planning instruments. Given the current situation in Campina Grande County, Paraiba State, Brazil - an area continually facing disturbances caused by occasional and concentrated rainfalls - the current study aims to map the areas seen as the most susceptible to floods, by using a MCDA GIS-based model (Multi-Criteria Decision Analysis). There are five quantitative criteria considered in the analysis: slope, altitude, roads with drainage infrastructure, distance from water bodies and land use. It is a pixel by pixel analysis based on predetermined assumptions. Fuzzy functions were developed and overlay operations were performed. The results were consistent with historical records and with previous studies about the county, thus adding reliability to the model, which can be considered a potential management instrument for the case study area, as well as for cities facing similar issues. |
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MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACHGeociências; GeodésiaFloods; Urbanization; GIS; MCDA; FuzzyThe social and economic impacts caused by floods in urban areas are diverse and increase as the land becomes gradually impervious. Due to the increasing urbanization of cities, it is necessary to implement a better planning process and optimize the urban spaces management and occupation. Thus, the government needs to gather reliable and useful data for the decision-making process. Therefore, the GIS plays an important role among urban planning instruments. Given the current situation in Campina Grande County, Paraiba State, Brazil - an area continually facing disturbances caused by occasional and concentrated rainfalls - the current study aims to map the areas seen as the most susceptible to floods, by using a MCDA GIS-based model (Multi-Criteria Decision Analysis). There are five quantitative criteria considered in the analysis: slope, altitude, roads with drainage infrastructure, distance from water bodies and land use. It is a pixel by pixel analysis based on predetermined assumptions. Fuzzy functions were developed and overlay operations were performed. The results were consistent with historical records and with previous studies about the county, thus adding reliability to the model, which can be considered a potential management instrument for the case study area, as well as for cities facing similar issues.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesCAPESCNPq.Alves, Priscila Barros Ramalhode Melo Filho, HiranTsuyuguchi, Bárbara BarbosaRufino, Iana Alexandra AlvesFeitosa, Patrícia Hermínio Cunha2018-03-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/58632Boletim de Ciências Geodésicas; Vol 24, No 1 (2018)Bulletin of Geodetic Sciences; Vol 24, No 1 (2018)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/bcg/article/view/58632/35039Copyright (c) 2018 Priscila Barros Ramalho Alves, Hiran de Melo Filho, Bárbara Barbosa Tsuyuguchi, Iana Alexandra Alves Rufino, Patrícia Hermínio Cunha Feitosahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2018-03-29T17:53:50Zoai:revistas.ufpr.br:article/58632Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2018-03-29T17:53:50Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
title |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
spellingShingle |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH Alves, Priscila Barros Ramalho Geociências; Geodésia Floods; Urbanization; GIS; MCDA; Fuzzy |
title_short |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
title_full |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
title_fullStr |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
title_full_unstemmed |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
title_sort |
MAPPING OF FLOOD SUSCEPTIBILITY IN CAMPINA GRANDE COUNTY – PB: A SPATIAL MULTICRITERIA APPROACH |
author |
Alves, Priscila Barros Ramalho |
author_facet |
Alves, Priscila Barros Ramalho de Melo Filho, Hiran Tsuyuguchi, Bárbara Barbosa Rufino, Iana Alexandra Alves Feitosa, Patrícia Hermínio Cunha |
author_role |
author |
author2 |
de Melo Filho, Hiran Tsuyuguchi, Bárbara Barbosa Rufino, Iana Alexandra Alves Feitosa, Patrícia Hermínio Cunha |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
CAPES CNPq. |
dc.contributor.author.fl_str_mv |
Alves, Priscila Barros Ramalho de Melo Filho, Hiran Tsuyuguchi, Bárbara Barbosa Rufino, Iana Alexandra Alves Feitosa, Patrícia Hermínio Cunha |
dc.subject.none.fl_str_mv |
|
dc.subject.por.fl_str_mv |
Geociências; Geodésia Floods; Urbanization; GIS; MCDA; Fuzzy |
topic |
Geociências; Geodésia Floods; Urbanization; GIS; MCDA; Fuzzy |
description |
The social and economic impacts caused by floods in urban areas are diverse and increase as the land becomes gradually impervious. Due to the increasing urbanization of cities, it is necessary to implement a better planning process and optimize the urban spaces management and occupation. Thus, the government needs to gather reliable and useful data for the decision-making process. Therefore, the GIS plays an important role among urban planning instruments. Given the current situation in Campina Grande County, Paraiba State, Brazil - an area continually facing disturbances caused by occasional and concentrated rainfalls - the current study aims to map the areas seen as the most susceptible to floods, by using a MCDA GIS-based model (Multi-Criteria Decision Analysis). There are five quantitative criteria considered in the analysis: slope, altitude, roads with drainage infrastructure, distance from water bodies and land use. It is a pixel by pixel analysis based on predetermined assumptions. Fuzzy functions were developed and overlay operations were performed. The results were consistent with historical records and with previous studies about the county, thus adding reliability to the model, which can be considered a potential management instrument for the case study area, as well as for cities facing similar issues. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-29 |
dc.type.none.fl_str_mv |
|
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://revistas.ufpr.br/bcg/article/view/58632 |
url |
https://revistas.ufpr.br/bcg/article/view/58632 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/58632/35039 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Boletim de Ciências Geodésicas Bulletin of Geodetic Sciences |
publisher.none.fl_str_mv |
Boletim de Ciências Geodésicas Bulletin of Geodetic Sciences |
dc.source.none.fl_str_mv |
Boletim de Ciências Geodésicas; Vol 24, No 1 (2018) Bulletin of Geodetic Sciences; Vol 24, No 1 (2018) 1982-2170 1413-4853 reponame:Boletim de Ciências Geodésicas instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Boletim de Ciências Geodésicas |
collection |
Boletim de Ciências Geodésicas |
repository.name.fl_str_mv |
Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br |
_version_ |
1799771719464910848 |