[贵阳市花溪区 PM2.5 中碳质气溶胶的特征和来源分析]。

Q2 Environmental Science
Jia-Qun Gui, Yuan Yang, Xian-Qin Wang, Yun-Wu Li, Guang-Xuan Yan, Peng Xu
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引用次数: 0

摘要

碳质气溶胶是大气气溶胶的重要组成部分,对大气环境质量、人类健康和全球气候变化具有重要影响。为研究贵阳市花溪区大气细颗粒物(PM2.5)中碳质气溶胶的特征和来源,在2020年不同季节开展了现场观测研究,并利用热光学碳分析仪(DRI Model 2015)对PM2.5中的碳质组分进行了测量。研究结果表明,观测期间 PM2.5、总碳气溶胶(TCA)、有机碳(OC)、次生有机碳(SOC)和元素碳(EC)的平均浓度分别为(39.7±22.3)、(14.1±7.2)、(7.6±3.9)、(4.4±2.6)和(2.0±1.0)μg-m-3,OC/EC 的平均值为(3.ρ(PM2.5)、ρ(TCA)、ρ(OC)、ρ(SOC)和ρ(EC)呈季节性变化,冬季最高[(52.6±28.6)、(17.0±9.6)、(9.1±5.2)、(6.1±3.9)和(2.4±1.2)μg-m-3],夏季最低[分别为(25.1±7.1)、(11.6±3.6)、(6.3±1.9)、(3.7±1.2)和(1.6±0.6)μg-m-3]。OC/EC的季节变化为夏季(4.2±0.8)>冬季(3.8±0.9)>秋季(3.8±0.5)>春季(3.7±0.9),表明花溪区四季均有SOC生成。SOC 与 OC 呈显著相关(R2 =0.9),且 SOC 浓度随大气氧化程度的增加而增加。OC 与 EC 在各季均有较好的相关性,其中秋季最高(R2 =0.9),其他三季相关性较低(R2 在 0.74 至 0.75 之间),表明两者有共同的来源。根据 OC/EC 的比值范围,初步判断碳质气溶胶来自汽车尾气排放、燃煤排放和生物质燃烧排放。为了进一步量化主要排放源对碳质气溶胶的贡献,本研究采用 PMF 对碳质气溶胶的来源进行分析,结果表明贵阳市花溪区碳质气溶胶的主要来源为燃煤源(29.3%)、机动车排放源(21.5%)和生物质燃烧源(49.2%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Characteristics and Source Analysis of Carbonaceous Aerosols in PM2.5 in Huaxi District, Guiyang].

Carbonaceous aerosol, as an important component of atmospheric aerosol, has a significant impact on atmospheric environmental quality, human health, and global climate change. To investigate the characteristics and sources of carbonaceous aerosol in atmospheric fine particulate matter (PM2.5) in Huaxi District of Guiyang, an in-situ observational study was conducted during different seasons in 2020, and the carbonaceous components of PM2.5 were measured using a thermal-optical carbon analyzer (DRI Model 2015). The results of the study showed that the average concentrations of PM2.5, total carbonaceous aerosol (TCA), organic carbon (OC), secondary organic carbon (SOC), and elemental carbon (EC) concentrations during the observation period were (39.7±22.3), (14.1±7.2), (7.6±3.9), (4.4±2.6), and (2.0±1.0) μg·m-3, respectively, and the mean value of OC/EC was (3.9±0.8). ρ(PM2.5), ρ(TCA), ρ(OC), ρ(SOC), and ρ(EC) showed a seasonal variation pattern with the highest in winter [(52.6±28.6), (17.0±9.6), (9.1±5.2), (6.1±3.9), and (2.4±1.2) μg·m-3, respectively] and the lowest in summer [(25.1±7.1), (11.6±3.6), (6.3±1.9), (3.7±1.2), and (1.6±0.6) μg·m-3, respectively]. The seasonal variation in OC/EC showed summer (4.2±0.8) > winter (3.8±0.9) > autumn (3.8±0.5) > spring (3.7±0.9), indicating the presence of SOC generation in all seasons in Huaxi District. SOC showed a significant correlation with OC (R2 =0.9), and the SOC concentration tended to increase with the increase in atmospheric oxidation. OC showed a good correlation with EC in all seasons, with the highest in autumn (R2 =0.9) and lower correlations in the other three seasons (R2 ranged from 0.74 to 0.75), indicating a common source. According to OC/EC ratio range, it was preliminarily determined that carbonaceous aerosol came from vehicle exhaust emissions, coal burning emissions, and biomass combustion emissions. In order to further quantify the contribution of major emission sources to carbonaceous aerosol, the results of this study using PMF to analyze the sources of carbonaceous aerosol showed that the main sources of carbonaceous aerosol in Huaxi District of Guiyang were coal combustion sources (29.3%), motor vehicle emission sources (21.5%), and biomass combustion sources (49.2%).

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
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