Diesel Exhaust Aerosol Particle Size Distributions - Comparison of Theory and Experiment

1978 ◽  
Author(s):  
D. F. Dolan ◽  
D. B. Kittelson
Keyword(s):  
Particle Size ◽  
Aerosol Particle ◽  
Diesel Exhaust ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Aerosol Particle Size ◽  
Theory And Experiment

Investigation of the Influence of Post-Injection on Diesel Exhaust Aerosol Particle Size Distributions

2006 ◽  
Vol 40 (1) ◽  
pp. 80-96 ◽  
Author(s):  
J. M. Desantes ◽  
V. Bermúdez ◽  
J. V. Pastor ◽  
E. Fuentes
Keyword(s):  
Particle Size ◽  
Aerosol Particle ◽  
Diesel Exhaust ◽  
Post Injection ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Aerosol Particle Size

scholarly journals Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data

2018 ◽  
Vol 10 (11) ◽  
pp. 1753 ◽  
Author(s):  
Huige Di ◽  
Qiyu Wang ◽  
Hangbo Hua ◽  
Siwen Li ◽  
Qing Yan ◽  
...  
Keyword(s):  
Particle Size ◽  
Aerosol Particle ◽  
Inversion Method ◽  
Lidar Data ◽  
Normal Distribution Function ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Base Function ◽  
Aerosol Particle Size ◽  
Particle Parameters

The use of Raman and high-spectral lidars enables measurements of a stratospheric aerosol extinction profile independent of backscatter, and a multi-wavelength (MW) lidar can obtain additional information that can aid in retrieving the microphysical characteristics of the sampled aerosol. The inversion method for retrieving aerosol particle size distributions and microphysical particle parameters from MW lidar data was studied. An inversion algorithm for retrieving aerosol particle size distributions based on the regularization method was established. Based on the inversion of regularization, the inversion method was optimized by choosing the base function closest to the aerosol distribution. The logarithmic normal distribution function was selected over the triangle function as the base function for the inversion. The averaging procedure was carried out for three main types of aerosol. The 1% averaging result near the minimum of the discrepancy gave the best estimate of the particle parameters. The accuracy and stabilization of the optimized algorithm for microphysical parameters were tested by scores of aerosol size distributions. The systematic effects and random errors impacting the inversion were also considered, and the algorithm was tested by the data, showing 10% systematic error and 15% random error. At the same time, the reliability of the proposed algorithm was also verified by using the aerosol particle size distribution data of the aircraft. The inversion results showed that the algorithm was reliable in retrieving the aerosol particle size distributions at vertical heights using lidar data.

Modeling aerosol particle size distributions over the North Sea

1992 ◽  
Vol 97 (C9) ◽  
pp. 14417 ◽  
Author(s):  
Alexander M. J. Van Eijk ◽  
Gerrit De Leeuw
Keyword(s):  
Particle Size ◽  
Aerosol Particle ◽  
North Sea ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
The North ◽  
Aerosol Particle Size ◽  
The North Sea

Bayesian mixture model estimation of aerosol particle size distributions

2011 ◽  
Vol 22 (1) ◽  
pp. 23-34 ◽  
Author(s):  
D. Wraith ◽  
C. Alston ◽  
K. Mengersen ◽  
T. Hussein
Keyword(s):  
Particle Size ◽  
Mixture Model ◽  
Aerosol Particle ◽  
Model Estimation ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Bayesian Mixture Model ◽  
Bayesian Mixture ◽  
Aerosol Particle Size

Aerosol particle size distributions at a rural coastal site

1998 ◽  
Vol 29 ◽  
pp. S695-S696 ◽  
Author(s):  
Gerrit de Leeuw ◽  
Elisabetta Vignati
Keyword(s):  
Particle Size ◽  
Aerosol Particle ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Coastal Site ◽  
Aerosol Particle Size
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