Real-time chemical characterization of primary and aged biomass burning aerosols derived from sub-Saharan African biomass fuels in smoldering fires†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES
Markie’Sha James, Vaios Moschos, Megan M. McRee, Marc N. Fiddler, Barbara J. Turpin, Jason D. Surratt and Solomon Bililign
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引用次数: 0

Abstract

The influence of biomass burning (BB)-derived organic aerosol (OA) emissions on solar radiation via absorption and scattering is related to their physicochemical properties and can change upon atmospheric aging. We systematically examined the compositionally-resolved mass concentration and production of primary and secondary organic aerosol (POA and SOA, respectively) in the NC A&T University smog chamber facility. Mass spectral profiles of OA measured by the Aerosol Chemical Speciation Monitor (ACSM) revealed the influence of dark- and photo-aging, fuel type, and relative humidity. Unit mass resolution (UMR) mapping, the ratio of the fraction of the OA mass spectrum signal at m/z 55 and 57 (f55/f57) vs. the same fraction at m/z 60 (f60) was used to identify source-specific emission profiles. Furthermore, Positive Matrix Factorization (PMF) analysis was conducted using OA mass spectra, identifying four distinct factors: low-volatility oxygenated OA (LV-OOA), primary biomass-burning OA (BBOA), BB secondary OA (BBSOA), and semi-volatile oxygenated OA (SV-OOA). Data supports a robust four-factor solution, providing insights into the chemical transformations under different experimental conditions, including dark- and photo-aged, humidified, and dark oxidation with NO3 radicals. This work presents the first such laboratory study of African-derived BBOA particles, addressing a gap in global atmospheric chemistry research.

Abstract Image

对撒哈拉以南非洲生物质燃料燃烧产生的原始气溶胶和老化生物质燃烧气溶胶进行实时化学特征描述。
生物质燃烧(BB)产生的有机气溶胶(OA)排放物通过吸收和散射对太阳辐射的影响与其理化性质有关,并会随着大气老化而发生变化。我们在北卡罗来纳农工大学烟雾室设施中系统地研究了一次有机气溶胶和二次有机气溶胶(分别为 POA 和 SOA)的成分分辨质量浓度和生成量。气溶胶化学特性监测仪(ACSM)测量的有机气溶胶质谱图显示了暗老化和光老化、燃料类型和相对湿度的影响。单位质量分辨率(UMR)绘图,即 m/z 55 和 57(f 55/f 57)处的 OA 质谱信号分数与 m/z 60(f 60)处的相同分数之比,用于识别特定来源的排放剖面。此外,利用 OA 质谱进行了正矩阵因式分解(PMF)分析,确定了四个不同的因子:低挥发性含氧 OA(LV-OOA)、原生生物质燃烧 OA(BBOA)、BB 次生 OA(BBSOA)和半挥发性含氧 OA(SV-OOA)。数据支持稳健的四因素解决方案,为不同实验条件下的化学转化提供了见解,包括黑暗和光照老化、加湿以及使用 NO3 自由基进行黑暗氧化。这项工作首次对源自非洲的 BBOA 粒子进行了此类实验室研究,填补了全球大气化学研究的空白。
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CiteScore
2.90
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