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Mixing times of organic molecules within secondary organic aerosol particles: a?global planetary boundary layer perspective

机译:次生有机气溶胶颗粒中有机分子的混合时间:全球行星边界层透视

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摘要

When simulating the formation and life cycle of secondary organic aerosol (SOA) with chemical transport models, it is often assumed that organic molecules are well mixed within SOA particles on the timescale of 1?h. While this assumption has been debated vigorously in the literature, the issue remains unresolved in part due to a?lack of information on the mixing times within SOA particles as a?function of both temperature and relative humidity. Using laboratory data, meteorological fields, and a?chemical transport model, we estimated how often mixing times are ?&?1?h within SOA in the planetary boundary layer (PBL), the region of the atmosphere where SOA concentrations are on average the highest. First, a?parameterization for viscosity as a?function of temperature and RH was developed for iα/i-pinene SOA using room-temperature and low-temperature viscosity data for iα/i-pinene SOA generated in the laboratory using mass concentrations of ?~?1000?μg?msup?3/sup. Based on this parameterization, the mixing times within iα/i-pinene SOA are ?&?1?h for 98.5?% and 99.9?% of the occurrences in the PBL during January and July, respectively, when concentrations are significant (total organic aerosol concentrations are ?&?0.5?μg?msup?3/sup at the surface). Next, as a?starting point to quantify how often mixing times of organic molecules are ?&?1?h within iα/i-pinene SOA generated using low, atmospherically relevant mass concentrations, we developed a?temperature-independent parameterization for viscosity using the room-temperature viscosity data for iα/i-pinene SOA generated in the laboratory using a?mass concentration of ?~?70?μg?msup?3/sup. Based on this temperature-independent parameterization, mixing times within iα/i-pinene SOA are ?&?1?h for 27 and 19.5?% of the occurrences in the PBL during January and July, respectively, when concentrations are significant. However, associated with these conclusions are several caveats, and due to these caveats we are unable to make strong conclusions about how often mixing times of organic molecules are ?&?1?h within iα/i-pinene SOA generated using low, atmospherically relevant mass concentrations. Finally, a?parameterization for viscosity of anthropogenic SOA as a?function of temperature and RH was developed using sucrose–water data. Based on this parameterization, and assuming sucrose is a?good proxy for anthropogenic SOA, 70 and 83?% of the mixing times within anthropogenic SOA in the PBL are ?&?1?h for January and July, respectively, when concentrations are significant. These percentages are likely lower limits due to the assumptions used to calculate mixing times.
机译:当使用化学迁移模型模拟次生有机气溶胶(SOA)的形成和生命周期时,通常假定有机分子在1?h的时间尺度内在SOA颗粒内充分混合。尽管这一假设已在文献中进行了激烈的辩论,但由于缺少有关SOA颗粒内混合时间的信息(温度和相对湿度的函数),该问题仍未得到解决。使用实验室数据,气象场和化学迁移模型,我们估算了行星边界层(PBL)中SOA内混合时间≤1 h的频率,即大气中SOA浓度平均的区域最高的。首先,利用α -pine烯的室温和低温粘度数据,开发了α -pine烯SOA的粘度随温度和RH的函数的参数化方法。实验室使用质量浓度为?〜?1000?μg?m ?3 生成的SOA。基于此参数化,对于1月和7月PBL中出现的98.5%和99.9%的α -pine烯SOA内的混合时间分别为?1?h。浓度是显着的(表面上的总有机气溶胶浓度为≥0.5≤μgg·m ≥3)。接下来,作为量化在低大气相关质量浓度产生的α-pine烯SOA中有机分子的混合时间为≤1 h的起点,我们建立了温度。实验室使用浓度为?〜?70?μg?m ?3 -pine烯SOA的室温粘度数据进行粘度的独立参数化>。基于此与温度无关的参数设置,对于1月和7月PBL中27%和19.5%的事件,α -pine烯SOA内的混合时间分别为?1?h。浓度很高。但是,与这些结论相关的有几个警告,由于这些警告,我们无法就有机分子在α -pine烯SOA中的混合时间?1?h的频率得出强有力的结论。使用低,与大气有关的质量浓度产生的。最后,使用蔗糖-水数据开发了人为SOA粘度随温度和相对湿度变化的参数化方法。基于此参数化,并假设蔗糖是人为SOA的“良好替代”,当浓度为1时,PBL中人为SOA内70%和83%的混合时间分别在1月和7月为≤1 h。重大。由于用于计算混合时间的假设,这些百分比可能是下限。

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