Secondary organic aerosol model intercomparison based on secondary organic aerosol to odd oxygen ratio in Tokyo
Secondary organic aerosol model intercomparison based on secondary organic aerosol to odd oxygen ratio in Tokyo
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DOI：
10.1002/2014jd021937
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
Y. Morino;K. Tanabe;Kei Sato;T. Ohara
中科院分区：
文献类型：
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作者：
Y. Morino;K. Tanabe;Kei Sato;T. Ohara
二次有机气溶胶（SOA）模式的改进是准确理解大气气溶胶行为和来源的关键。在过去的十年中，人们发现了许多SOA生产路径，并开发了一些新的SOA模型。然而，很少有各种SOA模型的性能进行了比较研究。在这项研究中，比较了五种SOA模型（两种收益率模型，波动率基集（VBS）模型，机械模型和近显式模型）获得的模拟数据。模型的性能进行了评价，通过比较模拟数据与观测到的比值的SOA浓度奇数氧浓度（[SOA]/[Ox]，其中[Ox] = [O3] + [NO2]）在东京都市圈。在东京，SOA浓度已被证明与Ox浓度有很好的相关性;因此，东京是进行这项相互比较研究的合适地点。所有五个模型都显示了类似的结果，包括臭氧，活性氮，羟基自由基和挥发性有机化合物的气体物种的浓度。相比之下，模拟的SOA浓度变化很大，五个模型之间。VBS模型很好地再现了观察到的[SOA]/[Ox]比值，而其他四个模型大大低估了该比值。的敏感性的比率，各种输入参数之间的模型，SOA的挥发性分布和源贡献的SOA，表明SOA模型的选择是至关重要的大气行为和源的SOA的准确评估。
Improvement of secondary organic aerosol (SOA) models is critical for accurate understanding of the behavior and sources of atmospheric aerosols. Over the last decade, a number of SOA production pathways were discovered, and several new SOA models have been developed. However, few comparative studies of the performances of the various SOA models have been conducted. In this study, simulation data obtained with five SOA models (two yield models, a volatility basis set (VBS) model, a mechanistic model, and a near‐explicit model) were compared. The performances of the models were evaluated by comparison of the simulated data with observed ratios of the SOA concentration to odd oxygen concentration ([SOA]/[Ox], where [Ox] = [O3] + [NO2]) in the Tokyo metropolitan area. In Tokyo, SOA concentrations have been shown to correlate well with Ox concentrations; thus, Tokyo is an appropriate location for this intercomparison study. All five models showed similar results for the concentrations of gaseous species, including ozone, reactive nitrogen, hydroxy radicals, and volatile organic compounds. In contrast, the simulated SOA concentrations varied substantially among the five models. The VBS model reproduced the observed [SOA]/[Ox] ratio well, whereas the other four models substantially underestimated the ratio. The sensitivity of the ratio to various input parameters differed substantially among the models, as did the volatility distribution of SOA and the source contributions of SOA, suggesting that the choice of SOA model is critical for accurate assessment of the atmospheric behavior and sources of SOA.