Atmospheric Aerosol Optical Depths and Size Distributions at Hefei and Huangshan Mountain

1987 ◽  
pp. 608-618
Author(s):  
Zhou Jun ◽  
Gong Zhiben ◽  
Hu Huanling ◽  
Xu Jun
2015 ◽  
Author(s):  
Joshua J. Rudiger ◽  
John S. deGrassie ◽  
Kevin McBryde ◽  
Stephen Hammel

2019 ◽  
Vol 16 (1) ◽  
pp. 23-32
Author(s):  
Dane Kuhr ◽  
Adam Whitten

Data collected by a ground-based solar spectrometer at Collegeville, MN, was used to generate Aerosol Optical Depths (AODs) throughout the 2017 calendar year. The AOD data was then visualized at 13 selected wavelengths throughout the year and analyzed in comparison to satellite imagery, upper air charts and backwards trajectories of air masses moving towards Central Minnesota in order to determine key dates of interest that correspond to times before (20170615), during (20170729), and at the conclusion of (20170914) forest fires that burned in British Columbia (BC) during the summer of 2017. The data from these specific days were analyzed further by inputting the maximum and minimum AODs for each day into a Parameter Based Particle Swarm Optimization (PBPSO) algorithm in order to generate bimodal lognormal particle size distributions. The bimodal distributions were chosen because they carry more information about the aerosol loads across the entire spectrum of particle radii. The resulting distributions show an increase in number density and decrease in median radius in the Aitken mode during the BC forest fires and a relatively constant (within uncertainty) number density of accumulation mode particles at daily maximum AODs. Comparing the resulting bimodal lognormal distribution for daily minimum AODs (where evaporation and other diurnal effects are at a minimum) shows an increased number density of Aitken mode particles by two orders of magnitude from pre- to post-forest fires. This measured increase in the number density of smaller radii particles due to forest fires illustrates the PBPSO’s capability of distinguishing variations in atmospheric aerosol particle number size distributions in the Aitken mode based on data collected by the Kipp-Zonen PGS-100 solar spectrometer. KEYWORDS: Atmospheric Aerosol; Particle Swarm Optimization; Aerosol Optical Depth; Solar Spectrometer; Size Distributions; Forest Fire; Satellite Imagery; Upper Air Charts; Backward Trajectory


2013 ◽  
Vol 02 (01) ◽  
pp. 1-6 ◽  
Author(s):  
Ittipol Paw-Armart ◽  
Kunio Yoshizumi

2001 ◽  
Vol 32 ◽  
pp. 147-148
Author(s):  
J. SMOLÍK ◽  
V. ŽDÍMAL ◽  
K. ELEFTHERIADIS ◽  
V. HAVRÁNEK ◽  
M. LAZARIDIS ◽  
...  

1992 ◽  
Vol 02 (04) ◽  
pp. 637-644 ◽  
Author(s):  
GUANGHUA ZHU ◽  
XINFU WANG ◽  
XINYIN SHEN

The atmospheric aerosol samples are collected in Beijing using a ten-stage cascade impactor sampler, and the elemental concentrations are analyzed by the PIXE analytical method. The parameters of particle size distributions are determined by the use of log-normal plots and the least-squares minimization. From these parameters the total amount of deposit in a day at the naso-pharyngeal, tracheo-bronchial and pulmonary are evaluated based on the deposition and retention models.


1989 ◽  
Vol 20 (3) ◽  
pp. 351-353 ◽  
Author(s):  
Michael Ram ◽  
Robert I. Gayley ◽  
Glenn E. Shaw

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