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Testing a cloudless model of light pollution propagation on two dark sky regions in Portugal

dc.contributor.authorLima, Raul Cerveira
dc.date.accessioned2024-10-07T10:18:22Z
dc.date.available2024-10-07T10:18:22Z
dc.date.issued2019-06
dc.description.abstractLight pollution (LP) affects Mainland Portugal in accordance to its asymmetric demographic distribution. The strongest LP sources are distributed along the densely populated coastal line, whereas the interior north and south of the country is still generally well preserved due to a much lower demographic density. In the period 2010-2014, on selected moonless and cloudless nights, we assessed the skyglow of two dark sky regions (the Peneda-Gerês National Park, a mountain region, and the Lake Alqueva region, typically plain) with a portable Unihedron SQM-L unit pointed handheld to the zenith. The data from the field measurements was used to compare to one light pollution propagation model (Kocifaj, 2007), using calibrated VIIRS DNB satellite upwards radiance (calibration by Zamorano et al, 2012) as input to the model. The results obtained from the model are favourably compared to the field measurements. We proceeded to a set of tests with the model (programmed in MATLAB) to find the best fit. Our best results were achieved by analysing the data by night rather than the global set of data. Our results were used to apply to the classification of the Alqueva as a Starlight Tourism Destination and light pollution guidelines were implemented in the Peneda-Gerês Park’s Management Plan.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLima, R. (2019, junho 26). Testing a cloudless model of light pollution propagation on two dark sky regions in Portugal. LPTMM conference 2019.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/26198
dc.language.isoengpt_PT
dc.publisherIP Portopt_PT
dc.subjectLight pollutionpt_PT
dc.subjectMainland Portugalpt_PT
dc.titleTesting a cloudless model of light pollution propagation on two dark sky regions in Portugalpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceZselic, Hungarypt_PT
oaire.citation.titleLPTMM conference 2019pt_PT
person.familyNameLima
person.givenNameRaul
person.identifierR-000-Q5J
person.identifier.ciencia-idFD1B-60AD-BD2A
person.identifier.orcid0000-0001-7212-510X
person.identifier.ridI-3577-2013
person.identifier.scopus-author-id57188653495
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationcc2feb09-f794-4839-944b-41c4448bd590
relation.isAuthorOfPublication.latestForDiscoverycc2feb09-f794-4839-944b-41c4448bd590

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