Multicriteria analysis and geoprocessing for conservation of unpaved roads

Detalhes bibliográficos
Autor(a) principal: Martins,Frederico C. M.
Data de Publicação: 2014
Outros Autores: Andrade,Luana C. R., Calijuri,Maria Lúcia, Barros,Kelly O., Barreto,Emmanoel M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006
Resumo: The objective of this study consisted on the utilization of geoprocessing to determine suitable areas for the allocation of boxes to capture rainwater and sediments on unpaved roads. The methodology was based on: data generated from a digital Model of Elevation Hydrographic Conditioning, classification of use and occupation of land, infiltration and runoff data obtained by the Balseq method, followed by a multi-criteria analysis. Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA) were used in the aggregation of pre-established criteria. A total of 289 areas larger than 0.0003 ha with a suitability greater than 250 have been identified for deployment of catchment boxes, in a risk analysis with a medium-high scenario OWA1 partial compensation. In the WLC scenario 53 critical areas were considered, with 255 of suitability, with a moderate risk and maximum compensation, which should necessarily be a condition in the implementation of catchment boxes. However, this methodology, can implement better management on unpaved road.
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spelling Multicriteria analysis and geoprocessing for conservation of unpaved roadsBalseq modelsoil erosionwater quality and productionThe objective of this study consisted on the utilization of geoprocessing to determine suitable areas for the allocation of boxes to capture rainwater and sediments on unpaved roads. The methodology was based on: data generated from a digital Model of Elevation Hydrographic Conditioning, classification of use and occupation of land, infiltration and runoff data obtained by the Balseq method, followed by a multi-criteria analysis. Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA) were used in the aggregation of pre-established criteria. A total of 289 areas larger than 0.0003 ha with a suitability greater than 250 have been identified for deployment of catchment boxes, in a risk analysis with a medium-high scenario OWA1 partial compensation. In the WLC scenario 53 critical areas were considered, with 255 of suitability, with a moderate risk and maximum compensation, which should necessarily be a condition in the implementation of catchment boxes. However, this methodology, can implement better management on unpaved road.Sociedade de Ciências Agrárias de Portugal2014-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006Revista de Ciências Agrárias v.37 n.2 2014reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006Martins,Frederico C. M.Andrade,Luana C. R.Calijuri,Maria LúciaBarros,Kelly O.Barreto,Emmanoel M.info:eu-repo/semantics/openAccess2024-02-06T17:02:01Zoai:scielo:S0871-018X2014000200006Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:17:15.887199Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Multicriteria analysis and geoprocessing for conservation of unpaved roads
title Multicriteria analysis and geoprocessing for conservation of unpaved roads
spellingShingle Multicriteria analysis and geoprocessing for conservation of unpaved roads
Martins,Frederico C. M.
Balseq model
soil erosion
water quality and production
title_short Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_full Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_fullStr Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_full_unstemmed Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_sort Multicriteria analysis and geoprocessing for conservation of unpaved roads
author Martins,Frederico C. M.
author_facet Martins,Frederico C. M.
Andrade,Luana C. R.
Calijuri,Maria Lúcia
Barros,Kelly O.
Barreto,Emmanoel M.
author_role author
author2 Andrade,Luana C. R.
Calijuri,Maria Lúcia
Barros,Kelly O.
Barreto,Emmanoel M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Martins,Frederico C. M.
Andrade,Luana C. R.
Calijuri,Maria Lúcia
Barros,Kelly O.
Barreto,Emmanoel M.
dc.subject.por.fl_str_mv Balseq model
soil erosion
water quality and production
topic Balseq model
soil erosion
water quality and production
description The objective of this study consisted on the utilization of geoprocessing to determine suitable areas for the allocation of boxes to capture rainwater and sediments on unpaved roads. The methodology was based on: data generated from a digital Model of Elevation Hydrographic Conditioning, classification of use and occupation of land, infiltration and runoff data obtained by the Balseq method, followed by a multi-criteria analysis. Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA) were used in the aggregation of pre-established criteria. A total of 289 areas larger than 0.0003 ha with a suitability greater than 250 have been identified for deployment of catchment boxes, in a risk analysis with a medium-high scenario OWA1 partial compensation. In the WLC scenario 53 critical areas were considered, with 255 of suitability, with a moderate risk and maximum compensation, which should necessarily be a condition in the implementation of catchment boxes. However, this methodology, can implement better management on unpaved road.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-01
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://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006
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dc.publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
dc.source.none.fl_str_mv Revista de Ciências Agrárias v.37 n.2 2014
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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