Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1067
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dc.contributor.authorBucur, Elena-
dc.contributor.authorDanet, Andrei Florin-
dc.contributor.authorLehr, Carol Blaziu-
dc.contributor.authorLehr, Elena-
dc.contributor.authorNita-Lazar, Mihai-
dc.date.accessioned2017-11-10T13:21:06Z-
dc.date.available2017-11-10T13:21:06Z-
dc.date.issued2017-
dc.identifier.issn1096-2247 (Print) 2162-2906 (Online)-
dc.identifier.otherhttp://dx.doi.org/10.1080/10962247.2016.1231724-
dc.identifier.urihttp://hdl.handle.net/123456789/1067-
dc.descriptionJOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2017, vol. 67, no. 4, pp. 391 –401en_US
dc.description.abstractThis paper presents a new way to assess the environmental impact on historical artifacts using binary logistic regression. The prediction of the impact on the exhibits during certain pollution scenarios (environmental impact) was calculated by a mathematical model based on the binary logistic regression; it allows the identification of those environmental parameters from a multitude of possible parameters with a significant impact on exhibitions and ranks them according to their severity effect. Air quality (NO2, SO2, O3 and PM2.5) and microclimate parameters (temperature, humidity) monitoring data from a case study conducted within exhibition and storage spaces of the Romanian National Aviation Museum Bucharest have been used for developing and validating the binary logistic regression method and the mathematical model. The logistic regression analysis was used on 794 data combinations (715 to develop of the model and 79 to validate it) by a Statistical Package for Social Sciences (SPSS 20.0). The results from the binary logistic regression analysis demonstrated that from six parameters taken into consideration, four of them present a significant effect upon exhibits in the following order: O3>PM2.5>NO2>humidity followed at a significant distance by the effects of SO2 and temperature. The mathematical model, developed in this study, correctly predicted 95.1 % of the cumulated effect of the environmental parameters upon the exhibits. Moreover, this model could also be used in the decisional process regarding the preventive preservation measures that should be implemented within the exhibition space. Implications: The paper presents a new way to assess the environmental impact on historical artifacts using binary logistic regression. The mathematical model developed on the environmental parameters analyzed by the binary logistic regression method could be useful in a decision-making process establishing the best measures for pollution reduction and preventive preservation of exhibits.en_US
dc.description.sponsorshipMinistry of Education and Research of Romania, Program Nucleuen_US
dc.language.isoen_USen_US
dc.publisherTaylor & Francisen_US
dc.subjectIndoor airen_US
dc.subjectRomanian National Aviation Museum Bucharesten_US
dc.subjectLogistic regression analysisen_US
dc.subjectEnvironmental impacten_US
dc.subjectDecision-making processen_US
dc.titleBinary logistic regression—Instrument for assessing museum indoor air impact on exhibitsen_US
dc.typeArticleen_US
dc.contributor.affiliationNational Research and Development Institute for Industrial Ecology, ECOIND-
dc.contributor.affiliationUniversity of Bucharest, Romania-
dc.contributor.affiliationNational Research and Development Institute for Industrial Ecology, ECOIND-
dc.contributor.affiliationAviation Museum-
dc.contributor.affiliationNational Research and Development Institute for Industrial Ecology, ECOIND-
item.openairetypeArticle-
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.grantfulltextreserved-
item.cerifentitytypePublications-
crisitem.author.deptNational Research and Development Institute for Industrial Ecology, ECOIND-
crisitem.author.deptUniversity of Bucharest, Romania-
crisitem.author.deptNational Research and Development Institute for Industrial Ecology, ECOIND-
crisitem.author.deptNational Research and Development Institute for Industrial Ecology, ECOIND-
crisitem.author.orcid0000-0002-1414-5126-
crisitem.author.orcid0000-0001-6705-9005-
crisitem.author.orcid0000-0002-5099-1311-
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