Multicriteria analysis and geoprocessing for conservation of unpaved roads

Detalhes bibliográficos
Autor(a) principal: Martins, Frederico C.M.
Data de Publicação: 2019
Outros Autores: Andrade, Luana C.R., Calijuri, Maria Lúcia, Barros, Kelly O., Barreto, Emmanoel M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://doi.org/10.19084/rca.16810
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 roadsAnálise multicritério e geoprocessamento para conservação de estradas não pavimentadasGeralThe 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.O objetivo deste estudo consistiu em utilizar o geoprocessamento para determinar a alocação de caixas de captação de água e sedimentos em estradas não pavimentadas. A metodologia foi baseada em: dados gerados a partir de um Modelo Digital de Elevação Hidrograficamente Condicionado, na classificação de uso e ocupação da terra, em dados de infiltração e escoamento obtidos pelo método Balseq, seguida numa análise multi-critério. A Combinação Linear Ponderada (WLC) e a Média Ponderada Ordenada (OWA) foram utilizadas na agregação de critérios pré-estabelecidos. Foram identificadas 289 áreas maiores do que 0,0003 ha, com adequação maior que 250 para a implantação das caixas de captação, numa análise de risco médio-alto com compensação parcial no cenário OWA1. No cenário WLC consideraram-se 53 áreas críticas, com adequabilidade de 255, risco médio e compensação máxima, que deverão ser necessariamente observadas para implantação de tais caixas. Com esta metodologia a gestão em estradas sem pavimentação pode ser realizada de maneira eficiente.Sociedade de Ciências Agrárias de Portugal2019-01-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://doi.org/10.19084/rca.16810eng2183-041X0871-018XMartins, Frederico C.M.Andrade, Luana C.R.Calijuri, Maria LúciaBarros, Kelly O.Barreto, Emmanoel M.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-09T10:22:47Zoai:ojs.revistas.rcaap.pt:article/16810Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:37:40.780793Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Multicriteria analysis and geoprocessing for conservation of unpaved roads
Análise multicritério e geoprocessamento para conservação de estradas não pavimentadas
title Multicriteria analysis and geoprocessing for conservation of unpaved roads
spellingShingle Multicriteria analysis and geoprocessing for conservation of unpaved roads
Martins, Frederico C.M.
Geral
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 Geral
topic Geral
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 2019
dc.date.none.fl_str_mv 2019-01-20
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 https://doi.org/10.19084/rca.16810
url https://doi.org/10.19084/rca.16810
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2183-041X
0871-018X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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