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[Effect of Biomass Burning on Carbonaceous Aerosol Composition and Light Absorption in Guangxi Regional Background Site].
Wu, Xing-Qi; Cao, Fang; Hong, Yi-Hang; Xing, Jia-Li.
Afiliación
  • Wu XQ; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Cao F; Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Atmospheric Environment Center, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Hong YH; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Xing JL; Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education, Atmospheric Environment Center, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Huan Jing Ke Xue ; 44(12): 6518-6528, 2023 Dec 08.
Article en Zh | MEDLINE | ID: mdl-38098380
ABSTRACT
Carbonaceous aerosols are an important component of fine particulate matter (PM2.5) in the atmosphere, having great impacts on air quality, human health, and the climate. In this study, PM2.5 samples were collected from November 2017 to October 2018 in a background site of Guangxi Province to investigate the potential impacts of biomass burning, an essential source of carbonaceous aerosols, on carbonaceous aerosols. Further, the composition of carbonaceous aerosols, sugar compounds, and the light absorption coefficient (babs) of water-soluble brown carbon (BrC) were also conducted. Considering the effect of the degradation of atmospheric levoglucosan (LG), the concentration of the corrected LG was quantified using the aging of air masses (AAM) index. Then, the contribution of biomass burning (BB) to organic carbon (OC) [BB-OC] was quantified using the corrected LG-derived molecular tracer method combined with the Bayesian mixing model. Here, we further explored the potential sources of water-soluble BrC using correlation analysis. In this research, the mean AAM index was 0.40±0.28 during the study period, indicating that the atmospheric LG had undergone a photochemical degradation process. The characteristic ratio combined with the Bayesian mixing model indicated that the crop straw (i.e., corn, rice, and sugarcane straw) was the dominant biomass fuel type in the Guangxi Region, contributing 22%, 23%, and 18% of OC without the correction of LG and 16%, 21%, and 17% with the corrected LG concentration, respectively. The neglection of LG degradation led to the underestimation of BB-OC, in which the BB-OC values with and without correction were 49.0% and 21.1%, respectively. Here, the annual mean babs of water-soluble BrC was (8.7±10.7) Mm-1, and its main sources were BB, fossil fuel combustion, and vegetation emission.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: Zh Revista: Huan Jing Ke Xue Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: Zh Revista: Huan Jing Ke Xue Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China