GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.11/5689 |
Resumo: | This work focuses on developed a decision support system based on multicriteria spatial analysis to assess the potential for generation of biomass residues from forestry sources in a region of Portugal (Beira Baixa). A set of environmental, economic and social criteria was defined, evaluated and weighted in the context of Saaty's analytic hierarchies. The best alternatives were obtained after applying Analytic Hierarchy Process (AHP). The model was applied to the central region of Portugal where forest and agriculture are the most representative land uses. Finally, sensitivity analysis of the set of factors and their associated weights was performed to test the robustness of the model. The proposed evaluation model provides a valuable reference for decision makers in establishing a standardized means of selecting the optimal location for new biomass plants. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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GIS-based suitability model for assessment of forest biomass energy potential in a region of PortugalAnalytic Hierarchy ProcessMCDAGISBiomassThis work focuses on developed a decision support system based on multicriteria spatial analysis to assess the potential for generation of biomass residues from forestry sources in a region of Portugal (Beira Baixa). A set of environmental, economic and social criteria was defined, evaluated and weighted in the context of Saaty's analytic hierarchies. The best alternatives were obtained after applying Analytic Hierarchy Process (AHP). The model was applied to the central region of Portugal where forest and agriculture are the most representative land uses. Finally, sensitivity analysis of the set of factors and their associated weights was performed to test the robustness of the model. The proposed evaluation model provides a valuable reference for decision makers in establishing a standardized means of selecting the optimal location for new biomass plants.Repositório Científico do Instituto Politécnico de Castelo BrancoQuinta-Nova, L. C.Fernandez, P.Pedro, N.2017-09-13T19:01:10Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/5689engQUINTA-NOVA, L.C. ; FERNANDEZ, P. ; PEDRO, N. (2017) - GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal. In IOP Conference Series: World Multidisciplinary Earth Sciences Symposium, 2017, Prague.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-01T01:46:00ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
title |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
spellingShingle |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal Quinta-Nova, L. C. Analytic Hierarchy Process MCDA GIS Biomass |
title_short |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
title_full |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
title_fullStr |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
title_full_unstemmed |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
title_sort |
GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal |
author |
Quinta-Nova, L. C. |
author_facet |
Quinta-Nova, L. C. Fernandez, P. Pedro, N. |
author_role |
author |
author2 |
Fernandez, P. Pedro, N. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Castelo Branco |
dc.contributor.author.fl_str_mv |
Quinta-Nova, L. C. Fernandez, P. Pedro, N. |
dc.subject.por.fl_str_mv |
Analytic Hierarchy Process MCDA GIS Biomass |
topic |
Analytic Hierarchy Process MCDA GIS Biomass |
description |
This work focuses on developed a decision support system based on multicriteria spatial analysis to assess the potential for generation of biomass residues from forestry sources in a region of Portugal (Beira Baixa). A set of environmental, economic and social criteria was defined, evaluated and weighted in the context of Saaty's analytic hierarchies. The best alternatives were obtained after applying Analytic Hierarchy Process (AHP). The model was applied to the central region of Portugal where forest and agriculture are the most representative land uses. Finally, sensitivity analysis of the set of factors and their associated weights was performed to test the robustness of the model. The proposed evaluation model provides a valuable reference for decision makers in establishing a standardized means of selecting the optimal location for new biomass plants. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-13T19:01:10Z 2017 2017-01-01T00:00:00Z |
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://hdl.handle.net/10400.11/5689 |
url |
http://hdl.handle.net/10400.11/5689 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
QUINTA-NOVA, L.C. ; FERNANDEZ, P. ; PEDRO, N. (2017) - GIS-based suitability model for assessment of forest biomass energy potential in a region of Portugal. In IOP Conference Series: World Multidisciplinary Earth Sciences Symposium, 2017, Prague. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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 |
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repository.mail.fl_str_mv |
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_version_ |
1777301840061267968 |