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Aerosol mass yields of selected biogenic volatile organic compounds – a theoretical study with nearly explicit gas-phase chemistry

机译:选定生物挥发性有机化合物的气溶胶大量产量 - 具有几乎明确的气相化学的理论研究

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In this study we modeled secondary organic aerosol (SOA) mass loadings from the oxidation (by O3, OH and NO3) of five representative biogenic volatile organic compounds (BVOCs): isoprene, endocyclic bond-containing monoterpenes (α-pinene and limonene), exocyclic double-bond compound (β-pinene) and a sesquiterpene (β-caryophyllene). The simulations were designed to replicate an idealized smog chamber and oxidative flow reactors (OFRs). The Master Chemical Mechanism (MCM) together with the peroxy radical autoxidation mechanism (PRAM) were used to simulate the gas-phase chemistry. The aim of this study was to compare the potency of MCM and MCM+PRAM in predicting SOA formation. SOA yields were in good agreement with experimental values for chamber simulations when MCM+PRAM was applied, while a stand-alone MCM underpredicted the SOA yields. Compared to experimental yields, the OFR simulations using MCM+PRAM yields were in good agreement for BVOCs oxidized by both O3 and OH. On the other hand, a stand-alone MCM underpredicted the SOA mass yields. SOA yields increased with decreasing temperatures and NO concentrations and vice versa. This highlights the limitations posed when using fixed SOA yields in a majority of global and regional models. Few compounds that play a crucial role (95% of mass load) in contributing to SOA mass increase (using MCM+PRAM) are identified. The results further emphasized that incorporating PRAM in conjunction with MCM does improve SOA mass yield estimation.
机译:在这项研究中,我们使用五种代表性挥发性有机化合物(BVOCs)的氧化(通过O 3,OH和NO 3)建模的二次有机气溶胶(SOA)质量载量:异戊二烯,含环环键的单萜(α-拼烯和柠檬烯),官方双键复合物(β-脊烯)和倍二萜(β-羧基)。设计模拟以复制理想化的烟雾室和氧化流量反应器(OFR)。使用母系化学机制(MCM)与过氧自由基自氧化机制(PRAM)一起模拟气相化学。本研究的目的是比较MCM和MCM + PRAM在预测SOA形成时的效力。当应用MCM + PRAM时,SOA产量与腔室模拟的实验值吻合良好,而独立的MCM低于SOA产量。与实验产量相比,使用MCM + PRAM产量的IFR模拟对于由O3和OH氧化的BVOC非常一致。另一方面,独立的MCM不足的SOA质量产量。 SOA产量随着温度降低而没有浓度而增加,反之亦然。这突出了在大多数全球和区域模型中使用固定的SOA产量时所带来的限制。鉴定了几种发挥关键作用的化合物(95%的质量载荷),用于贡献SOA质量增加(使用MCM + PRAM)。进一步强调的结果结合MCM将婴儿车掺入确实提高了SOA批量产量估计。

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