Mostrar el registro sencillo

dc.contributor.authorOtero González, César Antonio 
dc.contributor.authorLópez Uriarte, Joaquín
dc.contributor.authorDíaz Severiano, José Andrés 
dc.contributor.authorManchado del Val, Cristina 
dc.contributor.authorGómez Jáuregui, Valentín 
dc.contributor.authorIglesias Prieto, Andrés 
dc.contributor.authorGálvez Tomida, Akemi 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-11-17T08:42:55Z
dc.date.available2022-11-17T08:42:55Z
dc.date.issued2022-04
dc.identifier.issn0169-2046
dc.identifier.issn1872-6062
dc.identifier.otherTIN2017-89275-Res_ES
dc.identifier.urihttps://hdl.handle.net/10902/26482
dc.description.abstractThe visual impact assessment of large facilities can be improved thanks to Visual Impact Maps (VIMs). A VIM can be a valuable predictor (numerical and graphical) of visual effects. VIMs are conceived to help with the analysis of the Landscape professional. Even before the design stage, VIMs provide important data that complement the set of starting technical or environmental criteria, such as wind resource, land use or flood maps. Additionally, they provide a numerical model for the Visual Cost Of Energy (VCOE). A set of visual indicators and a set of visual inventory layers properly combined result in a series of VIMs: a wide collection of information that depicts the visual effect that the development of any facility generates on the considered area. The production of VIMs can result in creation of a new computational and environmental consultation service that is available along the facility life cycle and that is useful for protection, planning, and management aims.es_ES
dc.description.sponsorshipThis paper has been partially funded by SODERCAN, Cantabria regional government and European Regional Development Fund (ERDF) within ‘Programa de apoyo de I + D en Cooperación en Energías Renovables Marinas, I + C = +C 2016’ (I + D support program in Offshore wind energy co-operation, I + C = +C 2016). Project reference: RM16-XX-045 - SODERCAN/FEDER. Akemi Gálvez and Andrés Iglesias have received funding from the project PDE-GIR of the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 778035, and from the project TIN2017-89275-R funded by MCIN/AEI /10.13039/501100011033/FEDER “Una manera de hacer Europa”.es_ES
dc.format.extent13 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceLandscape and urban planning, 2022, 220, 104314es_ES
dc.subject.otherVisual effectses_ES
dc.subject.otherVisual impact assessmentes_ES
dc.subject.otherEnvironmentales_ES
dc.subject.otherVisual Impact Mapes_ES
dc.subject.otherVisual cost of energyes_ES
dc.subject.otherPlanninges_ES
dc.titleVisual cost of energy facilities: A comprehensive model and case study of offshore wind farmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.landurbplan.2021.104314es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/778035/EU/PDE-based geometric modelling, image processing, and shape reconstruction/PDE-GIR/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-89275-R/ES/SWARM INTELLIGENCE PARA MODELADO Y RECONSTRUCCION DE FORMAS EN GRAFICOS POR COMPUTADOR, IMAGENES MEDICAS Y ROBOTICA/es_ES
dc.identifier.DOI10.1016/j.landurbplan.2021.104314
dc.type.versionpublishedVersiones_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo

Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International