CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador

Some cities worldwide have oil wells directly affecting the management of the territory. For example, La Libertad and Salinas districts contain 467 oil wells in urban areas representing a major land-use planning challenge. The objective is to apply the CLUE-S land use model in coastal cities with oi...

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Autores: Herrera-Franco, Gricelda, Escandón-Panchana, Paulo, Montalván Toala, Francisco Javier, Velastegui-Montoya, Andrés
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/36137
Acceso en línea:https://hdl.handle.net/10115/36137
Access Level:acceso abierto
Palabra clave:Land use
Vulnerability
Sustainability
GIS
Dinamica EGO
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spelling CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, EcuadorHerrera-Franco, GriceldaEscandón-Panchana, PauloMontalván Toala, Francisco JavierVelastegui-Montoya, AndrésLand useVulnerabilitySustainabilityGISDinamica EGOSome cities worldwide have oil wells directly affecting the management of the territory. For example, La Libertad and Salinas districts contain 467 oil wells in urban areas representing a major land-use planning challenge. The objective is to apply the CLUE-S land use model in coastal cities with oil wells (Salinas-La Libertad), using geographic information systems considering environmental and security characteristics for territorial development. The stages of the study are: i) classification and categorisation of oil wells; ii) application of the GIS-CLUE-S method and visualisation of land use dynamics; iii) use the SWOT-TOWS matrix, for the analysis of the situation and the main factors affecting the territory. The results indicate high vulnerability in many urban sectors and those close to the coastline. Furthermore, the CLUE-S analysis shows that the population growth in the urban sector is close to oil well areas, making it a complex pole of human-industry interaction that impacts the management of the territory. This study synthesises three technical aspects: some oil wells do not comply with municipal ordinance regulations; identification of vulnerable zones due to environmental and security factors, which recommends a territorial reordering policy; as well as an education plan for the application of territorial ordering policies, with awareness and sustainability projections.Elsevier202420242022info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10115/36137reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlosinstname:Universidad Rey Juan CarlosInglésAttribution-NonCommercial-NoDerivs 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:burjcdigital.urjc.es:10115/361372026-06-24T12:48:17Z
dc.title.none.fl_str_mv CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
title CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
spellingShingle CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
Herrera-Franco, Gricelda
Land use
Vulnerability
Sustainability
GIS
Dinamica EGO
title_short CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
title_full CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
title_fullStr CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
title_full_unstemmed CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
title_sort CLUE-S model based on GIS applied to management strategies of territory with oil wells—Case study: Santa Elena, Ecuador
dc.creator.none.fl_str_mv Herrera-Franco, Gricelda
Escandón-Panchana, Paulo
Montalván Toala, Francisco Javier
Velastegui-Montoya, Andrés
author Herrera-Franco, Gricelda
author_facet Herrera-Franco, Gricelda
Escandón-Panchana, Paulo
Montalván Toala, Francisco Javier
Velastegui-Montoya, Andrés
author_role author
author2 Escandón-Panchana, Paulo
Montalván Toala, Francisco Javier
Velastegui-Montoya, Andrés
author2_role author
author
author
dc.subject.none.fl_str_mv Land use
Vulnerability
Sustainability
GIS
Dinamica EGO
topic Land use
Vulnerability
Sustainability
GIS
Dinamica EGO
description Some cities worldwide have oil wells directly affecting the management of the territory. For example, La Libertad and Salinas districts contain 467 oil wells in urban areas representing a major land-use planning challenge. The objective is to apply the CLUE-S land use model in coastal cities with oil wells (Salinas-La Libertad), using geographic information systems considering environmental and security characteristics for territorial development. The stages of the study are: i) classification and categorisation of oil wells; ii) application of the GIS-CLUE-S method and visualisation of land use dynamics; iii) use the SWOT-TOWS matrix, for the analysis of the situation and the main factors affecting the territory. The results indicate high vulnerability in many urban sectors and those close to the coastline. Furthermore, the CLUE-S analysis shows that the population growth in the urban sector is close to oil well areas, making it a complex pole of human-industry interaction that impacts the management of the territory. This study synthesises three technical aspects: some oil wells do not comply with municipal ordinance regulations; identification of vulnerable zones due to environmental and security factors, which recommends a territorial reordering policy; as well as an education plan for the application of territorial ordering policies, with awareness and sustainability projections.
publishDate 2022
dc.date.none.fl_str_mv 2022
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10115/36137
url https://hdl.handle.net/10115/36137
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivs 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
instname:Universidad Rey Juan Carlos
instname_str Universidad Rey Juan Carlos
reponame_str BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
collection BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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