生物质燃烧排放的有机气溶胶的多日光化学演变†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES Environmental science: atmospheres Pub Date : 2024-06-14 DOI:10.1039/D3EA00111C
Abraham Dearden, Yicong He, Ali Akherati, Christopher Y. Lim, Matthew M. Coggon, Abigail R. Koss, Joost de Gouw, Carsten Warneke, Lindsay D. Yee, John H. Seinfeld, Christopher D. Cappa, Jesse H. Kroll, Jeffrey R. Pierce and Shantanu H. Jathar
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摘要

生物质燃烧是大气中一次和二次有机气溶胶(POA、SOA,合称 OA)的重要来源。生物质燃烧产生的 OA 的光化学演化(尤其是在较长的光化学年龄段)非常复杂,模型中如何表示这种演化存在很大的不确定性。最近,Lim 等人(2019 年)利用一个小型环境室(150 升)对生物质燃烧排放物进行了光氧化实验,研究了多个等效光化学老化日的 OA 演化过程,并发表了相关报告。在这项工作中,我们使用一个动力学过程级模型(SOM-TOMAS;统计氧化模型-TwO Moment Aerosol Sectional),模拟了在对 10 种不同燃料的排放物进行的 18 次室实验中 OA 的光化学演变。该模型的基础版本能够模拟短光化学年龄(0.5 至 1 等效天)下随时间变化的 OA 质量浓度及其氧碳比(O : C)。在较长的光化学年龄(1 个等效日)下,该模型在预测 OA 质量浓度方面表现不佳,并明显低估了 OA 的氧碳比:C.经过几个等效日的光化学老化后,模拟的 OA 略微以 SOA 为主(所有实验中平均占 57%),其余为 POA(所有实验中平均占 43%)。在形成的 SOA 中,半挥发性有机化合物、含氧芳烃和杂环化合物占大多数(平均 89%)。在影响 OA 演化的过程中,发现实验假象(即颗粒和蒸汽壁损失)比其他过程(即稀释、异质化学和低聚反应)更重要。对动力学模型的调整似乎只能略微改善模型的性能,这表明该模型缺少前体、化学途径或两者兼而有之,特别是在解释观测到的 OA 质量和 O :C 的增强。尽管这项工作远非理想,但它有助于从过程层面了解生物质燃烧产生的 OA,这与 OA 在区域和全球尺度上的扩展演化有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Multi-day photochemical evolution of organic aerosol from biomass burning emissions†

Biomass burning is an important source of primary and secondary organic aerosol (POA, SOA, and together, OA) to the atmosphere. The photochemical evolution of biomass burning OA, especially over long photochemical ages, is highly complex and there are large uncertainties in how this evolution is represented in models. Recently, Lim et al. (2019) performed and reported on photooxidation experiments of biomass burning emissions using a small environmental chamber (∼150 L) to study the OA evolution over multiple equivalent days of photochemical aging. In this work, we use a kinetic, process-level model (SOM-TOMAS; Statistical Oxidation Model-TwO Moment Aerosol Sectional) to simulate the photochemical evolution of OA in 18 chamber experiments performed on emissions from 10 different fuels. A base version of the model was able to simulate the time-dependent evolution of the OA mass concentration and its oxygen-to-carbon ratio (O : C) at short photochemical ages (0.5 to 1 equivalent days). At longer photochemical ages (>1 equivalent day), the model exhibited poor skill in predicting the OA mass concentration and significantly underestimated the OA O : C. The modeled OA after several equivalent days of photochemical aging was slightly dominated by SOA (average of 57% across all experiments) with the remainder being POA (average of 43% across all experiments). Semi-volatile organic compounds, oxygenated aromatics, and heterocyclics accounted for the majority (89%, on average) of the SOA formed. Experimental artifacts (i.e., particle and vapor wall losses) were found to be much more important in influencing the OA evolution than other processes (i.e., dilution, heterogeneous chemistry, and oligomerization reactions). Adjustments to the kinetic model seemed to improve model performance only marginally indicating that the model was missing precursors, chemical pathways, or both, especially to explain the observed enhancement in OA mass and O : C over longer photochemical ages. While far from ideal, this work contributes to a process-level understanding of biomass burning OA that is relevant for its extended evolution at regional and global scales.

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