Seasonal Variations in PM2.5 Carbon Components: A Case Study
Journal Title: Acadlore Transactions on Geosciences - Year 2023, Vol 2, Issue 4
Abstract
This study conducted a comprehensive analysis of the carbon components in $\mathrm{PM}_{2.5}$ particulate matter in Linfen City for the year 2020. Utilizing the thermal-optical transmittance (TOT) method, the mass concentrations of organic carbon (OC) and elemental carbon (EC) in $\mathrm{PM}_{2.5}$ were quantitatively assessed. Findings revealed seasonal variations in the concentrations of $\mathrm{OC}$ and EC. Specifically, concentrations in spring were registered at $4.45 \mu \mathrm{g} / \mathrm{m}^3$ for $\mathrm{OC}$ and $1.03 \mu \mathrm{g} / \mathrm{m}^3$ for $\mathrm{EC}$; in summer, these were $3.89 \mu \mathrm{g} / \mathrm{m}^3$ and $0.74 \mu \mathrm{g} / \mathrm{m}^3$; in autumn, $6.01 \mu \mathrm{g} / \mathrm{m}^3$ and $1.30 \mu \mathrm{g} / \mathrm{m}^3$; escalating significantly in winter to $16.76 \mu \mathrm{g} / \mathrm{m}^3$ for $\mathrm{OC}$ and $4.24 \mu \mathrm{g} / \mathrm{m}^3$ for $\mathrm{EC}$. This seasonal trend highlighted a notable peak in winter, with OC concentrations being 4.31 times, and EC concentrations 5.73 times, those observed in summer. The correlation analysis between $O C$ and EC demonstrated the highest correlation in winter $\left(R^2=0.961\right)$, suggesting similar sources for these components in the colder months, followed by autumn $\left(R^2=0.936\right)$ and spring $\left(R^2=0.848\right)$, with the least correlation observed in summer $\left(R^2=0.584\right)$. The EC tracer method, employed to estimate secondary organic carbon (SOC) concentrations, indicated a seasonal pattern in SOC levels, with the highest concentrations occurring in winter, thereby suggesting a significant secondary pollution impact during this period. Moreover, the study identified meteorological conditions, particularly long-distance horizontal transport, as a primary influencer of winter pollution levels in Linfen City.
Authors and Affiliations
Hong Cui, Haixia Wen, Xiao Liu
Keywords
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