Capturing the effects of the complex processes of chemical aging of biogenic secondary organic aerosol (SOA) in chemical transport models (CTMs) has been challenging. Recent laboratory results from atmospheric simulation chambers are used in this study to develop a parameterization for biogenic SOA formation as a result of aging for use in CTMs using the Volatility Basis Set framework. This parameterization was implemented in PMCAMx which was then applied over the eastern United States to simulate summertime conditions. Using the base case parameterization of monoterpene SOA chemical aging resulted in modest increases (17–21%) in predicted domain average biogenic SOA. An alternative parameterization was developed fitting the same laboratory results, but assuming higher volatility products of chemical aging reactions. Use of this parameterization resulted in small increases (1–4%) of the predicted biogenic SOA. The PMCAMx predictions in sites where most of the SOA was biogenic were evaluated against measurements from the EPA IMPROVE network in July 2001 and during the Southern Oxidant and Aerosol Study in June 2013. The differences in the model performance were modest and mixed, a result consistent with the relatively small effect of the proposed parameterization on total organic aerosol levels.

在化学运输模型（CTM）中捕获生物成因的有机有机气溶胶（SOA）的化学衰老的复杂过程所产生的影响具有挑战性。在这项研究中，使用了来自大气模拟室的最新实验室结果来开发针对因老化而导致的生物源SOA形成的参数化，并使用Volatility Basis Set框架在CTM中使用。该参数化是在PMCAMx中实现的，然后将其应用于美国东部以模拟夏季条件。使用单萜SOA的基本情况参数化，化学老化会导致预测的域平均生物SOA适度增加（17-21％）。根据相同的实验室结果，但假设化学老化反应的挥发性较高，开发了另一种参数化方法。使用此参数化会导致预测的生物源SOA略有增加（1-4％）。对照2001年7月EPA IMPROVE网络和2013年6月进行的Southern Oxidant and Aerosol研究期间的评估，评估了大多数SOA具有生物成因的地点中的PMCAMx预测。模型性能的差异适中且混合，结果一致建议的参数化对总有机气溶胶含量的影响相对较小。