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Source Diversity of Intermediate Volatility n-Alkanes Revealed by Compound-Specific δ13C-δD Isotopes.
Tang, Tiangang; Cheng, Zhineng; Xu, Buqing; Zhang, Bolong; Li, Jun; Zhang, Wei; Wang, Kelin; Zhang, Gan.
Afiliação
  • Tang T; State Key Laboratory of Organic Geochemistry, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou510640, P. R. China.
  • Cheng Z; Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha410125, P.R. China.
  • Xu B; State Key Laboratory of Organic Geochemistry, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou510640, P. R. China.
  • Zhang B; CAS Centre for Excellence in Deep Earth Science, Guangzhou, 510640, P.R. China.
  • Li J; State Key Laboratory of Organic Geochemistry, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou510640, P. R. China.
  • Zhang W; CAS Centre for Excellence in Deep Earth Science, Guangzhou, 510640, P.R. China.
  • Wang K; State Key Laboratory of Organic Geochemistry, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou510640, P. R. China.
  • Zhang G; CAS Centre for Excellence in Deep Earth Science, Guangzhou, 510640, P.R. China.
Environ Sci Technol ; 56(20): 14262-14271, 2022 10 18.
Article em En | MEDLINE | ID: mdl-36206450
ABSTRACT
Intermediate volatility organic compounds (IVOCs) are important precursors of secondary organic aerosols, and their sources remain poorly defined. N-alkanes represent a considerable portion of IVOCs in atmosphere, which can be well identified and quantified out of the complex IVOC pool. To investigate the potential source diversity of intermediate volatility n-alkanes (IVnAs, nC12-nC20), we apportioned the sources of IVnAs in the atmosphere of four North China cities, based on their compound-specific δ13C-δD isotope compositions and Bayesian model analysis. The concentration level of IVnAs reached 1195 ± 594 ng/m3. The δ13C values of IVnAs ranged -32.3 to -27.6‰ and δD values -161 to -90‰. The δD values showed a general increasing trend toward higher carbon number alkanes, albeit a zigzag odd-even prevalence. Bayesian MixSIAR model using δ13C and δD compositions revealed that the source patterns of individual IVnAs were inconsistent; the relative contributions of liquid fossil combustion were higher for lighter IVnAs (e.g., nC12-nC13), while those of coal combustion were higher for heavier IVnAs (e.g., nC17-nC20). This result agrees with principal component analysis of the dual isotope data. Overall, coal combustion, liquid fossil fuel combustion, and biomass burning contributed about 47.8 ± 0.1, 35.7 ± 4.0, and 16.3 ± 4.2% to the total IVnAs, respectively, highlighting the importance of coal combustion as an IVnA source in North China. Our study demonstrates that the dual-isotope approach is a powerful tool for source apportionment of atmospheric IVOCs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Compostos Orgânicos Voláteis Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Compostos Orgânicos Voláteis Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article