RT info:eu-repo/semantics/article
T1 Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types
A1 Oduber Pérez, Fernanda Isabel
A1 Calvo Gordaliza, Ana Isabel
A1 Castro Izquierdo, Amaya
A1 Blanco Alegre, Carlos del
A1 Alves, Célia
A1 Calzolai, Giulia
A1 Nava, Silvia
A1 Lucarelli, Franco
A1 Nunes, Teresa Filomena Vieira
AD  1958-
A1 Barata, Joana F.B.
A1 Fraile Laiz, Roberto
A2 Fisica Aplicada
K1 Biología
K1 Física
K1 Meteorología
K1 Química
K1 Aerosol
K1 Circulation weather types
K1 Linear models
K1 PMF
K1 Source apportionment
K1 2509.02 Contaminación Atmosférica
K1 2210 Química Física
K1 3308.01 Control de la Contaminación Atmosférica
AB [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
PB Elsevier
SN 0048-9697
LK https://hdl.handle.net/10612/18060
UL https://hdl.handle.net/10612/18060
NO 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
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 19-may-2024