首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Modeling the evolution of aerosol particles in a ship plume using PartMC-MOSAIC
【24h】

Modeling the evolution of aerosol particles in a ship plume using PartMC-MOSAIC

机译:使用PartMC-MOSAIC对船羽中气溶胶颗粒的演变进行建模

获取原文
           

摘要

pstrongAbstract./strong This study investigates the evolution of ship-emitted aerosol particles using the stochastic particle-resolved model PartMC-MOSAIC (Particle Monte Carlo model-Model for Simulating Aerosol Interactions and Chemistry). Comparisons of our results with observations from the QUANTIFY (Quantifying the Climate Impact of Global and European Transport Systems) study in 2007 in the English Channel and the Gulf of Biscay showed that the model was able to reproduce the observed evolution of total number concentration and the vanishing of the nucleation mode consisting of sulfate particles. Further process analysis revealed that during the first hour after emission, dilution reduced the total number concentration by four orders of magnitude, while coagulation reduced it by an additional order of magnitude. Neglecting coagulation resulted in an overprediction of more than one order of magnitude in the number concentration of particles smaller than 40 nm at a plume age of 100 s. Coagulation also significantly altered the mixing state of the particles, leading to a continuum of internal mixtures of sulfate and black carbon. The impact on cloud condensation nuclei (CCN) concentrations depended on the supersaturation threshold iS/i at which CCN activity was evaluated. For the base case conditions, characterized by a low formation rate of secondary aerosol species, neglecting coagulation, but simulating condensation, led to an underestimation of CCN concentrations of about 37% for iS/i = 0.3% at the end of the 14-h simulation. In contrast, for supersaturations higher than 0.7%, neglecting coagulation resulted in an overestimation of CCN concentration, about 75% for iS/i = 1%. For iS/i lower than 0.2% the differences between simulations including coagulation and neglecting coagulation were negligible. Neglecting condensation, but simulating coagulation did not impact the CCN concentrations below 0.2% and resulted in an underestimation of CCN concentrations for larger supersaturations, e.g., 18% for iS/i = 0.6%. We also explored the role of nucleation for the CCN concentrations in the ship plume. For the base case the impact of nucleation on CCN concentrations was limited, but for a sensitivity case with higher formation rates of secondary aerosol over several hours, the CCN concentrations increased by an order of magnitude for supersaturation thresholds above 0.3%./p.
机译:> >摘要。本研究使用随机粒子解析模型PartMC-MOSAIC(Particle Monte Carlo模型-模拟气溶胶相互作用和化学模型)研究了舰船气溶胶粒子的演化。将我们的结果与2007年在英吉利海峡和比斯开湾进行的QUANTIFY(量化全球和欧洲运输系统对气候的影响)研究的观察结果进行比较,结果表明该模型能够重现观察到的总浓度变化以及由硫酸盐颗粒组成的成核模式消失。进一步的过程分析表明,在排放后的第一个小时内,稀释将总浓度降低了四个数量级,而混凝将其浓度降低了另一个数量级。忽略凝结导致在100 s的羽龄下小于40 nm的粒子数浓度被过度预测一个数量级以上。混凝也显着改变了颗粒的混合状态,导致了硫酸盐和黑碳内部混合物的连续。对云凝结核(CCN)浓度的影响取决于评估CCN活性的过饱和阈值 S 。对于基本情况,其特征是次级气溶胶物种的形成率低,忽略了凝结,但模拟了凝结,最终导致 S = 0.3%时CCN浓度低估了约37% 14小时模拟相反,对于高于0.7%的过饱和度,忽略凝结会导致CCN浓度高估,对于 S = 1%,CCN浓度约为75%。对于 S 低于0.2%,包括凝结和忽略凝结在内的模拟之间的差异可以忽略不计。忽略冷凝,但模拟凝结不会影响低于0.2%的CCN浓度,并导致低估较大过饱和度的CCN浓度,例如,对于 S = 0.6%,CCN浓度为18%。我们还探讨了成核作用对船羽中CCN浓度的作用。对于基本情况,成核对CCN浓度的影响是有限的,但对于在几个小时内二次气溶胶形成速率较高的敏感性情况下,对于过饱和阈值高于0.3%,CCN浓度会增加一个数量级。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号