Multicriteria analysis and geoprocessing for conservation of unpaved roads
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006 |
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 |
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 |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799137267022823424 |