untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:18:54Z</responseDate>
<request identifier=oai:HAL:hal-01467547v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-01467547v1</identifier>
<datestamp>2017-12-21</datestamp>
<setSpec>type:ART</setSpec>
<setSpec>subject:sdv</setSpec>
<setSpec>collection:UNIV-RENNES1</setSpec>
<setSpec>collection:IRSET</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:UNIV-ANGERS</setSpec>
<setSpec>collection:CSTB</setSpec>
<setSpec>collection:IRSET-ERD</setSpec>
<setSpec>collection:IFR140</setSpec>
<setSpec>collection:BIOSIT</setSpec>
<setSpec>collection:GIP-BE</setSpec>
<setSpec>collection:UR1-HAL</setSpec>
<setSpec>collection:UR1-UFR-SVE</setSpec>
<setSpec>collection:EHESP</setSpec>
<setSpec>collection:STATS-UR1</setSpec>
<setSpec>collection:UR1-SDV</setSpec>
<setSpec>collection:USPC</setSpec>
<setSpec>collection:IRSET-9</setSpec>
<setSpec>collection:IRSET-EHESP</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Predicting the gas-phase concentration of semi-volatile organic compounds from airborne particles: Application to a French nationwide survey</title>
<creator>Wei, W.</creator>
<creator>Mandin, C.</creator>
<creator>BLANCHARD, O.</creator>
<creator>Mercier, F.</creator>
<creator>Pelletier, M.</creator>
<creator>Le Bot, B.</creator>
<creator>Glorennec, P.</creator>
<creator>Ramalho, O.</creator>
<contributor>Centre Scientifique et Technique du Bâtiment (CSTB) ; Centre Scientifique et Technique du Bâtiment (CSTB)</contributor>
<contributor>Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )</contributor>
<contributor>École des Hautes Études en Santé Publique [EHESP] (EHESP)</contributor>
<contributor>n°2011-1-128, ANSES, Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail</contributor>
<description>International audience</description>
<source>Science of the Total Environment</source>
<identifier>hal-01467547</identifier>
<identifier>https://hal-univ-rennes1.archives-ouvertes.fr/hal-01467547</identifier>
<source>https://hal-univ-rennes1.archives-ouvertes.fr/hal-01467547</source>
<source>Science of the Total Environment, 2017, 576, pp.319--325. 〈10.1016/j.scitotenv.2016.10.074〉</source>
<identifier>DOI : 10.1016/j.scitotenv.2016.10.074</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2016.10.074</relation>
<identifier>PUBMED : 27788447</identifier>
<relation>info:eu-repo/semantics/altIdentifier/pmid/27788447</relation>
<language>en</language>
<subject lang=en> Semivolatile organic compounds</subject>
<subject lang=en> SVOC</subject>
<subject lang=en> Monte Carlo methods</subject>
<subject lang=en>Anthracene</subject>
<subject lang=en> Aromatic hydrocarbons</subject>
<subject lang=en> Buildings</subject>
<subject lang=en> Forecasting</subject>
<subject lang=en> Gases</subject>
<subject lang=en> Housing</subject>
<subject lang=en> Intelligent systems</subject>
<subject lang=en> Models</subject>
<subject lang=en> Organic compounds</subject>
<subject lang=en> Organic pollutants</subject>
<subject lang=en> Polycyclic aromatic hydrocarbons</subject>
<subject lang=en> Probability distributions</subject>
<subject lang=en> Space heating</subject>
<subject lang=en> Volatile organic compounds</subject>
<subject lang=en> Built environment</subject>
<subject lang=en> Dwelling</subject>
<subject lang=en> Polybrominated diphenyl ether (PBDEs)</subject>
<subject lang=en> Probabilistic approaches</subject>
<subject lang=en> Semi-volatile organic compounds (SVOCs)</subject>
<subject lang=en> atmospheric particle</subject>
<subject lang=en> concentration (composition)</subject>
<subject lang=en> indoor air</subject>
<subject lang=en> Monte Carlo analysis</subject>
<subject lang=en> numerical model</subject>
<subject lang=en> partition coefficient</subject>
<subject lang=en> probability</subject>
<subject lang=en> volatile organic compound</subject>
<subject lang=en> France</subject>
<subject>[SDV.EE] Life Sciences [q-bio]/Ecology, environment</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Semi-volatile organic compounds (SVOCs) partition indoors between the gas phase, airborne particles, settled dust, and other surfaces. Unknown concentrations of SVOCs in the gas phase (Cg) can be predicted from their measured concentrations in airborne particles. In previous studies, the prediction of Cg depended largely on choosing a specific equation for the calculation of the particle/gas partition coefficient. Moreover, the prediction of Cg is frequently performed at a reference temperature rather than the real indoor temperature. In this paper, a probabilistic approach based on Monte Carlo simulation was developed to predict the distribution of SVOCs' Cg from their concentrations in airborne particles at the target indoor temperature. Moreover, the distribution of the particle/gas partition coefficient of each SVOC at the target temperature was used. The approach was validated using two measured datasets in the literature: the predicted Cg from concentrations measured in airborne particles and the measured Cg were generally of the same order of magnitude. The distributions of the Cg of 66 SVOCs in the French housing stock were then predicted. The SVOCs with the highest median Cg, ranging from 1 ng/m3 to > 100 ng/m3, included 8 phthalates (DEP, DiBP, DBP, DEHP, BBP, DMP, DiNP, and DMEP), 4 polycyclic aromatic hydrocarbons (fluorene, phenanthrene, fluoranthene, and anthracene), 2 alkylphenols (4-tert-butylphenol and 4-tert-octylphenol), 2 synthetic musks (galaxolide and tonalide), tributyl phosphate, and heptachlor. The nationwide, representative, predicted Cg values of SVOCs are frequently of the same order of magnitude in Europe and North America, whereas these Cg values in Chinese and Indian dwellings and the Cg of polybrominated diphenyl ethers in U.S. dwellings are generally higher. © 2016 Elsevier B.V.</description>
<date>2017</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
