Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil

Detalhes bibliográficos
Autor(a) principal: Prado,RB.
Data de Publicação: 2015
Outros Autores: Novo,EMLM.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000200010
Resumo: In this study multi-criteria modeling tools are applied to map the spatial distribution of drainage basin potential to pollute Barra Bonita Reservoir, São Paulo State, Brasil. Barra Bonita Reservoir Basin had undergone intense land use/land cover changes in the last decades, including the fast conversion from pasture into sugarcane. In this respect, this study answers to the lack of information about the variables (criteria) which affect the pollution potential of the drainage basin by building a Geographic Information System which provides their spatial distribution at sub-basin level. The GIS was fed by several data (geomorphology, pedology, geology, drainage network and rainfall) provided by public agencies. Landsat satellite images provided land use/land cover map for 2002. Ratings and weights of each criterion defined by specialists supported the modeling process. The results showed a wide variability in the pollution potential of different sub-basins according to the application of different criterion. If only land use is analyzed, for instance, less than 50% of the basin is classified as highly threatening to water quality and include sub basins located near the reservoir, indicating the importance of protection areas at the margins. Despite the subjectivity involved in the weighing processes, the multi-criteria analysis model allowed the simulation of scenarios which support rational land use polices at sub-basin level regarding the protection of water resources.
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spelling Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazilgeotechnologywater qualitynonpoint pollutionmulti-criteria analysiswatershed managementIn this study multi-criteria modeling tools are applied to map the spatial distribution of drainage basin potential to pollute Barra Bonita Reservoir, São Paulo State, Brasil. Barra Bonita Reservoir Basin had undergone intense land use/land cover changes in the last decades, including the fast conversion from pasture into sugarcane. In this respect, this study answers to the lack of information about the variables (criteria) which affect the pollution potential of the drainage basin by building a Geographic Information System which provides their spatial distribution at sub-basin level. The GIS was fed by several data (geomorphology, pedology, geology, drainage network and rainfall) provided by public agencies. Landsat satellite images provided land use/land cover map for 2002. Ratings and weights of each criterion defined by specialists supported the modeling process. The results showed a wide variability in the pollution potential of different sub-basins according to the application of different criterion. If only land use is analyzed, for instance, less than 50% of the basin is classified as highly threatening to water quality and include sub basins located near the reservoir, indicating the importance of protection areas at the margins. Despite the subjectivity involved in the weighing processes, the multi-criteria analysis model allowed the simulation of scenarios which support rational land use polices at sub-basin level regarding the protection of water resources.Instituto Internacional de Ecologia2015-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000200010Brazilian Journal of Biology v.75 n.2 2015reponame:Brazilian Journal of Biologyinstname:Instituto Internacional de Ecologia (IIE)instacron:IIE10.1590/1519-6984.12013info:eu-repo/semantics/openAccessPrado,RB.Novo,EMLM.eng2015-06-23T00:00:00Zoai:scielo:S1519-69842015000200010Revistahttps://www.scielo.br/j/bjb/https://old.scielo.br/oai/scielo-oai.phpbjb@bjb.com.br||bjb@bjb.com.br1678-43751519-6984opendoar:2015-06-23T00:00Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)false
dc.title.none.fl_str_mv Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
title Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
spellingShingle Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
Prado,RB.
geotechnology
water quality
nonpoint pollution
multi-criteria analysis
watershed management
title_short Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
title_full Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
title_fullStr Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
title_full_unstemmed Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
title_sort Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo – Brazil
author Prado,RB.
author_facet Prado,RB.
Novo,EMLM.
author_role author
author2 Novo,EMLM.
author2_role author
dc.contributor.author.fl_str_mv Prado,RB.
Novo,EMLM.
dc.subject.por.fl_str_mv geotechnology
water quality
nonpoint pollution
multi-criteria analysis
watershed management
topic geotechnology
water quality
nonpoint pollution
multi-criteria analysis
watershed management
description In this study multi-criteria modeling tools are applied to map the spatial distribution of drainage basin potential to pollute Barra Bonita Reservoir, São Paulo State, Brasil. Barra Bonita Reservoir Basin had undergone intense land use/land cover changes in the last decades, including the fast conversion from pasture into sugarcane. In this respect, this study answers to the lack of information about the variables (criteria) which affect the pollution potential of the drainage basin by building a Geographic Information System which provides their spatial distribution at sub-basin level. The GIS was fed by several data (geomorphology, pedology, geology, drainage network and rainfall) provided by public agencies. Landsat satellite images provided land use/land cover map for 2002. Ratings and weights of each criterion defined by specialists supported the modeling process. The results showed a wide variability in the pollution potential of different sub-basins according to the application of different criterion. If only land use is analyzed, for instance, less than 50% of the basin is classified as highly threatening to water quality and include sub basins located near the reservoir, indicating the importance of protection areas at the margins. Despite the subjectivity involved in the weighing processes, the multi-criteria analysis model allowed the simulation of scenarios which support rational land use polices at sub-basin level regarding the protection of water resources.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000200010
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000200010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1519-6984.12013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Internacional de Ecologia
publisher.none.fl_str_mv Instituto Internacional de Ecologia
dc.source.none.fl_str_mv Brazilian Journal of Biology v.75 n.2 2015
reponame:Brazilian Journal of Biology
instname:Instituto Internacional de Ecologia (IIE)
instacron:IIE
instname_str Instituto Internacional de Ecologia (IIE)
instacron_str IIE
institution IIE
reponame_str Brazilian Journal of Biology
collection Brazilian Journal of Biology
repository.name.fl_str_mv Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)
repository.mail.fl_str_mv bjb@bjb.com.br||bjb@bjb.com.br
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