Simulating aerosol chamber experiments with the particle-resolved aerosol model PartMC

Simulating aerosol chamber experiments with the particle-resolved aerosol model PartMC
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使用粒子分辨气溶胶模型 PartMC 模拟气溶胶室实验

DOI:
10.1080/02786826.2017.1311988
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发表时间:
2017
影响因子:
5.2
通讯作者:
N. Riemer
N. Riemer
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Jian Tian;B. Brem;Matthew West;T. Bond;M. Rood;N. Riemer

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摘要本文介绍了一个随机粒子分辨气溶胶模式PartMC的验证和确认研究。对自我保存的分析溶液进行模型验证,而为了验证,进行了三个实验,其中在圆柱形不锈钢室中测量了硫酸铵颗粒的尺寸分布演变。与腔室测量相比,PartMC扩展到包括分形颗粒结构和壁损失的表示。这引入了五个未知参数的控制方程,这是由扫描电子显微镜(SEM)分析和客观的优化程序的组合。对于所有三个实验,使用相同的参数组实现了建模和测量的尺寸分布之间的极好的一致性。假设球形颗粒导致模型结果与测量结果不一致。模型和测量之间的最佳协议得到的分形维数为2.3,这表明在腔室中的颗粒团聚体的非球形结构需要考虑。© 2017美国气溶胶研究协会
ABSTRACT This article presents a verification and validation study of the stochastic particle-resolved aerosol model PartMC. Model verification was performed against self-preserving analytical solutions, while for validation three experiments were performed where the size distribution evolution of coagulating ammonium sulfate particles was measured in a cylindrical stainless steel chamber. To compare with the chamber measurements, PartMC was extended to include the representation of fractal particle structure and wall loss. This introduced five unknown parameters to the governing equation, which were determined by a combination of scanning electron microscopy (SEM) analysis and an objective optimization procedure. Excellent agreement between modeled and measured size distributions was achieved using the same set of parameters for all three experiments. Assuming spherical particles led to model results that were inconsistent with the measurements. The best agreement between model and measurement was obtained for the fractal dimension of 2.3, indicating that the non-spherical structure of the particle agglomerates in the chamber needed to be taken into account. © 2017 American Association for Aerosol Research
DOI: 10.1063/1.3668100
发表时间: 2011
期刊: The Journal of chemical physics
影响因子: --
作者:
Roh,MinK;DaigleJr,BernieJ;Gillespie,DanT;Petzold,LindaR
通讯作者: Petzold,LindaR