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dc.contributor | Facultad de Ciencias Biologicas y Ambientales | es_ES |
dc.contributor.author | Oduber Pérez, Fernanda Isabel | |
dc.contributor.author | Calvo Gordaliza, Ana Isabel | |
dc.contributor.author | Castro Izquierdo, Amaya | |
dc.contributor.author | Blanco Alegre, Carlos del | |
dc.contributor.author | Alves, Célia | |
dc.contributor.author | Calzolai, Giulia | |
dc.contributor.author | Nava, Silvia | |
dc.contributor.author | Lucarelli, Franco | |
dc.contributor.author | Nunes, Teresa Filomena Vieira, 1958- | |
dc.contributor.author | Barata, Joana F.B. | |
dc.contributor.author | Fraile Laiz, Roberto | |
dc.contributor.other | Fisica Aplicada | es_ES |
dc.date | 2021-02-01 | |
dc.date.accessioned | 2024-02-05T09:53:46Z | |
dc.date.available | 2024-02-05T09:53:46Z | |
dc.identifier.citation | Oduber, F., Calvo, A. I., Castro, A., Blanco-Alegre, C., Alves, C., Calzolai, G., Nava, S., Lucarelli, F., Nunes, T., Barata, J., & Fraile, R. (2021). Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types. Science of The Total Environment, 754, Article e142045. https://doi.org/10.1016/J.SCITOTENV.2020.142045 | es_ES |
dc.identifier.issn | 0048-9697 | |
dc.identifier.other | https://www.sciencedirect.com/science/article/pii/S0048969720355741 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10612/18060 | |
dc.description.abstract | [EN] A one-year aerosol sampling campaign, between 2016 and 2017, was conducted in a suburban area of León city, Spain. An association between the Positive Matrix Factorization (PMF) results and air masses through circulation weather types was carried out, through the construction of linear models from the PM10 concentrations and its chemical composition. The aerosol sources, identified by PMF six-factor solution, were: traffic (29%), aged sea salt (26%), secondary aerosols (16%), dust (13%), marine aerosol (7%) and biomass burning (3%). Traffic and secondary factors showed the highest PM10 contribution in the hybrid cyclonic types with wind component from the first and second quadrant. Anticyclonic types with wind component from the first quadrant exhibited high values of secondary, aged sea salt and dust factors. The highest contributions of the dust factor were also associated with northerly types. The linear models built for estimating the source apportionment of PM10, from aerosol chemical composition and geostrophic flow, showed positive coefficients for: westerly flows (WF) in marine factor, southerly flows (SF) in secondary and traffic factors, and shear southerly vorticities (ZS) in dust factor. Negative dependences were observed for ZS in aged sea salt factor and for SF in dust factor. The PM10 mass concentration calculated by the linear models and by the PMF model were strongly correlated. This can be very useful to determine the contribution of a specific source to PM10 in León, only by knowing some meteorological and chemical variables | es_ES |
dc.language | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Biología | es_ES |
dc.subject | Física | es_ES |
dc.subject | Meteorología | es_ES |
dc.subject | Química | es_ES |
dc.subject.other | Aerosol | es_ES |
dc.subject.other | Circulation weather types | es_ES |
dc.subject.other | Linear models | es_ES |
dc.subject.other | PMF | es_ES |
dc.subject.other | Source apportionment | es_ES |
dc.title | Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.1016/j.scitotenv.2020.142045 | |
dc.description.peerreviewed | SI | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/TEC2014-57821-R/ES/CARACTERIZACION EXPERIMENTAL DE LA PROPAGACION ATMOSFERICA Y MODELADO DE CANAL EN ONDAS MILIMETRICAS, ORIENTADOS A SU FUTURO USO EN REDES DE COMUNICACIONES FIJAS Y MOVILES 5G | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/CGL2014-52556-R/ES/INFLUENCIA DE LA PRECIPITACION EN LA CONCENTRACION DE MATERIAL PARTICULADO Y DE POLEN: CONSECUENCIAS CLIMATICAS Y CLINICAS/AERORAIN | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | es_ES |
dc.identifier.essn | 1879-1026 | |
dc.journal.title | Science of the Total Environment | es_ES |
dc.volume.number | 754 | es_ES |
dc.page.initial | 142045 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es_ES |
dc.subject.unesco | 2509.02 Contaminación Atmosférica | es_ES |
dc.subject.unesco | 2210 Química Física | es_ES |
dc.subject.unesco | 3308.01 Control de la Contaminación Atmosférica | es_ES |
dc.description.project | This study was partially supported by the Spanish Ministry of Economy and Competitiveness (Grant TEC2014-57821-R), the University of León (Programa Propio 2015/00054/001 and 2018/00203/001) and the AERORAIN project (Ministry of Economy and Competitiveness, Grant CGL2014-52556-R, co-financed with European FEDER funds). F. Oduber acknowledges the grant BES-2015-074473 from the Spanish Ministry of Economy and Competitiveness. C. Blanco-Alegre acknowledges the grant FPU16-05764 from the Spanish Ministry of Education, Culture and Sport. Thanks are also due for the financial support to CESAM (UIDB/50017/2020+UIDP/50017/2020), to FCT/MCTES through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020 | es_ES |
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