Articles producció científicaEnginyeria Química

Improving air pollution source apportionment in size-segregated PM using Pb isotope-based Bayesian mixing models in Tarragona (Spain)

  • Dades identificatives

    Identificador:  imarina:9475751
    Autors:  Sánchez, EP; Rosell, M; Torrentó, C; Sánchez-Soberón, F; Rovira, J; Sierra, J; Schuhmacher, M; Soler, A; Widory, D
    Resum:
    A total of 75 outdoor PM10, PM2.5, and PM1 samples from 14 schools, and 9 samples from potential local emission sources, were collected and analysed for their metallic content and lead (Pb) isotope ratios in 2 seasonal campaigns in Tarragona (Catalonia, Spain) to identify and apportion contamination sources and to assess associated health risks. Lead was predominantly found in PM1, and although its levels were below air quality standards, its Enrichment Factors (EF), along with those of other potentially toxic elements (Cd, Cr, Cu and Sb), indicated extremely severe enrichment in all PM sizes. Seasonal differentiation in Pb enrichment was particularly significant in PM1 during the cold campaign. This suggests an anthropogenic origin, mainly from combustion processes such as road traffic and a municipal solid waste incinerator, as supported by profiles of other metals (Cu, V and Zn) and the spatial distribution of the EFPb, respectively. Non-radiogenic Pb isotope ratios (Pb-208/Pb-204 and Pb-206/Pb-204) indicated a geogenic origin in some PM10 samples, based on their similarity to the geochronology of specific Spanish ore samples. However, radiogenic ratios (Pb-208/Pb-207 and Pb-206/Pb-207) pointed to coal-fired electrical plants (EGUs) and road traffic as the sources of the majority of the samples. These findings were corroborated by EF spatial distribution maps and by our previous study coupling air masses back trajectories with C and N isotopes in the same PM samples. Bayesian mixing models using both Pb-204- and Pb-207-normalised Pb isotope ratios estimated sources' contributions as follows: i) municipal solid waste incinerator (at least 10 % in PM10 and up to 60 % in both PM2.5 and PM1); ii) road traffic (up to 40 % for all size fractions); iii) coal-fired EGUs (aro
  • Altres:

    Autor segons l'article: Sánchez, EP; Rosell, M; Torrentó, C; Sánchez-Soberón, F; Rovira, J; Sierra, J; Schuhmacher, M; Soler, A; Widory, D
    Departament: Enginyeria Química
    Autor/s de la URV: SÁNCHEZ SOBERÓN, FRANCISCO / Schuhmacher Ansuategui, Marta
    Paraules clau: Aerosols; Area; Elements; Health-risk; Heavy-metals; Identification; Inhalation exposure; Lead isotope ratios; Lead-isotopes; Mixing models; Non-carcinogenic risk; Particulate matter; Pm1; Pm10; Pm2.5; Risk-assessment; Sediments; Tarragona
    Resum: A total of 75 outdoor PM10, PM2.5, and PM1 samples from 14 schools, and 9 samples from potential local emission sources, were collected and analysed for their metallic content and lead (Pb) isotope ratios in 2 seasonal campaigns in Tarragona (Catalonia, Spain) to identify and apportion contamination sources and to assess associated health risks. Lead was predominantly found in PM1, and although its levels were below air quality standards, its Enrichment Factors (EF), along with those of other potentially toxic elements (Cd, Cr, Cu and Sb), indicated extremely severe enrichment in all PM sizes. Seasonal differentiation in Pb enrichment was particularly significant in PM1 during the cold campaign. This suggests an anthropogenic origin, mainly from combustion processes such as road traffic and a municipal solid waste incinerator, as supported by profiles of other metals (Cu, V and Zn) and the spatial distribution of the EFPb, respectively. Non-radiogenic Pb isotope ratios (Pb-208/Pb-204 and Pb-206/Pb-204) indicated a geogenic origin in some PM10 samples, based on their similarity to the geochronology of specific Spanish ore samples. However, radiogenic ratios (Pb-208/Pb-207 and Pb-206/Pb-207) pointed to coal-fired electrical plants (EGUs) and road traffic as the sources of the majority of the samples. These findings were corroborated by EF spatial distribution maps and by our previous study coupling air masses back trajectories with C and N isotopes in the same PM samples. Bayesian mixing models using both Pb-204- and Pb-207-normalised Pb isotope ratios estimated sources' contributions as follows: i) municipal solid waste incinerator (at least 10 % in PM10 and up to 60 % in both PM2.5 and PM1); ii) road traffic (up to 40 % for all size fractions); iii) coal-fired EGUs (around 20 % for all size fractions); and iv) geogenic particles (
    Àrees temàtiques: Astronomia / física; Atmospheric science; Biodiversidade; Ciência de alimentos; Ciências agrárias i; Ciências ambientais; Ciências biológicas ii; Engenharias ii; Engenharias iii; Engenharias iv; Ensino; Farmacia; Geociências; Geografía; Interdisciplinar; Matemática / probabilidade e estatística; Materiais; Meteorology & atmospheric sciences; Química
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: marta.schuhmacher@urv.cat
    Data d'alta del registre: 2026-02-13
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0169809525000316?via%3Dihub
    Referència a l'article segons font original: Atmospheric Research. 316 107939-
    Referència de l'ítem segons les normes APA: Sánchez, EP; Rosell, M; Torrentó, C; Sánchez-Soberón, F; Rovira, J; Sierra, J; Schuhmacher, M; Soler, A; Widory, D (2025). Improving air pollution source apportionment in size-segregated PM using Pb isotope-based Bayesian mixing models in Tarragona (Spain). Atmospheric Research, 316(), 107939-. DOI: 10.1016/j.atmosres.2025.107939
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1016/j.atmosres.2025.107939
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2025-04-15
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Atmospheric Science,Meteorology & Atmospheric Sciences
    Aerosols
    Area
    Elements
    Health-risk
    Heavy-metals
    Identification
    Inhalation exposure
    Lead isotope ratios
    Lead-isotopes
    Mixing models
    Non-carcinogenic risk
    Particulate matter
    Pm1
    Pm10
    Pm2.5
    Risk-assessment
    Sediments
    Tarragona
    Astronomia / física
    Atmospheric science
    Biodiversidade
    Ciência de alimentos
    Ciências agrárias i
    Ciências ambientais
    Ciências biológicas ii
    Engenharias ii
    Engenharias iii
    Engenharias iv
    Ensino
    Farmacia
    Geociências
    Geografía
    Interdisciplinar
    Matemática / probabilidade e estatística
    Materiais
    Meteorology & atmospheric sciences
    Química
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