Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349433
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampPerez-Martinez, Pedro Jose-
dc.typeArtigopt_BR
dc.titleTemporal distribution of air quality related to meteorology and road traffic in Madridpt_BR
dc.contributor.authorPerez-Martinez, Pedro J.-
dc.contributor.authorMiranda, Regina M.-
dc.subjectAr - Poluiçãopt_BR
dc.subjectClimatologiapt_BR
dc.subject.otherlanguageAir - Pollutionpt_BR
dc.subject.otherlanguageClimatologypt_BR
dc.description.abstractThe impact of climatology-air temperature, precipitation and wind speed-and road traffic-volume, vehicle speed and percentage of heavy-duty vehicles (HDVs)-on air quality in Madrid was studied by estimating the effect for each explanatory variable using generalized linear regression models controlling for monthly variations, days of week and parameter levels. Every 1 m/s increase in wind speed produced a decrease in PM10 concentrations by 10.3 % (95 % CI 12.6-8.6) for all weekdays and by 12.4 % (95 % CI 14.9-9.8) for working days (up to the cut-off of 2.4 m/s). Increases of PM10 concentrations due to air temperature (7.2 % (95 % CI 6.2-8.3)) and traffic volume (3.3 % (95 % CI 2.9-3.8)) were observed at every 10 degrees C and 1 million vehicle-km increases for all weekdays; oppositely, slight decreases of PM10 concentrations due to percentage of HDVs (3.2 % (95 % CI 2.7-3.7)) and vehicle speed (0.7 % (95 % CI 0.6-0.8)) were observed at every 1 % and 1 km/h increases. Stronger effects of climatology on air quality than traffic parameters were foundpt_BR
dc.relation.ispartofEnvironmental Monitoring and Assessmentpt_BR
dc.relation.ispartofabbreviationEnviron. Monit. Assess.pt_BR
dc.publisher.cityDordrechtpt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherSpringerpt_BR
dc.date.issued2015-
dc.date.monthofcirculationApr.pt_BR
dc.language.isoengpt_BR
dc.description.volume187pt_BR
dc.description.issuenumber4pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0167-6369pt_BR
dc.identifier.eissn1573-2959pt_BR
dc.identifier.doi10.1007/s10661-015-4452-3pt_BR
dc.identifier.urlhttps://link.springer.com/article/10.1007/s10661-015-4452-3pt_BR
dc.date.available2020-09-16T18:00:00Z-
dc.date.accessioned2020-09-16T18:00:00Z-
dc.description.provenanceSubmitted by Cintia Oliveira de Moura (cintiaom@unicamp.br) on 2020-09-16T18:00:00Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-11T14:38:13Z : No. of bitstreams: 1 000352113200046.pdf: 9683527 bytes, checksum: c00e1df49a5eec484cbf752b07095e68 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-09-16T18:00:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2015en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/349433-
dc.contributor.departmentDepartamento de Geotecnia e Transportespt_BR
dc.contributor.unidadeFaculdade de Engenharia Civil, Arquitetura e Urbanismopt_BR
dc.subject.keywordAir pollution modelingpt_BR
dc.subject.keywordRoad trafficpt_BR
dc.identifier.source000352113200046pt_BR
dc.creator.orcid0000-0002-0620-2725pt_BR
dc.type.formArtigopt_BR
dc.identifier.articleid220pt_BR
dc.description.sponsorNoteEuropean Research Council (ERC); Program for contracting experienced researchers for scientific and technological research (COFUND, Seventh Framework)pt_BR
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