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首页> 外文期刊>Journal of Atmospheric Chemistry >Numerical quantification of sources and phase partitioning of chemical species in cloud: application to wintertime anthropogenic air masses at the Puy de Dome station
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Numerical quantification of sources and phase partitioning of chemical species in cloud: application to wintertime anthropogenic air masses at the Puy de Dome station

机译：云中化学物质的来源和相分配的数值定量：在Puy de Dome站冬季人为气团中的应用

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摘要

The Model of Multiphase Cloud Chemistry M2C2 has recently been extended to account for nucleation scavenging of aerosol particles in the cloud water chemical composition. This extended version has been applied to multiphase measurements available at the Puy de Dome station for typical wintertime anthropogenic air masses. The simulated ion concentrations in cloud water are in reasonable agreement with the experimental data. The analysis of the sources of the chemical species in cloud water shows an important contribution from nucleation scavenging of particles which prevails for nitrate, sulphate and ammonium. Moreover, the simulation shows that iron, which comes only from the dissolution of aerosol particles in cloud water, has a significant contribution in the hydroxyl radical production. Finally, the simulated phase partitioning of chemical species in cloud are compared with measurements. Numerical results show an underestimation of interstitial particulate phase fraction with respect to the measurements, which could be due to an overestimation of activated mass by the model. However, the simulated number scavenging efficiency of particles agrees well with the measured value of 40% of total number of aerosol particles activated in cloud droplets. Concerning the origin of chemical species in cloud water, the model reproduces quite well the contribution of gas and aerosol scavenging estimated from measurements. In addition, the simulation provides the contribution of incloud chemical reactivity to cloud water concentrations.
机译：最近已扩展了多相云化学模型M2C2，以解决云水化学成分中气溶胶颗粒的成核清除问题。该扩展版本已应用于Puy de Dome站可用于典型冬季人为气团的多相测量。云水中的模拟离子浓度与实验数据基本吻合。对云水中化学物种来源的分析表明，颗粒的成核清除对硝酸盐，硫酸盐和铵盐起着重要的作用。此外，模拟表明，铁（仅来自气溶胶颗粒在云水中的溶解）对羟自由基的产生具有重要作用。最后，将云中化学物质的模拟相分配与测量结果进行了比较。数值结果表明，相对于测量结果，间隙颗粒相分数被低估了，这可能是由于模型高估了活化质量。但是，模拟的粒子清除数的效率与云滴中活化的气溶胶粒子总数的40％的测量值非常吻合。关于云水中化学物质的起源，该模型很好地再现了根据测量结果估算的气体和气溶胶清除能力。此外，模拟还提供了云中化学反应性对云水中浓度的贡献。

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