Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 3, 301(2024)
Influence of segmental fitting of aerosol spectrum on visibility calculation
Fig. 1. Atmospheric environment simulation cabin of the interior (a) and exterior (b) physical figure
Fig. 2. Aerosol inlet in the simulation chamber (a) and axial fan and ventilation ducts (b)
Fig. 3. Aerosol particle number concentration varies with time. (a) 0.35 μm; (b) 0.50 μm; (c) 0.70 μm; (d) 1.00 μm; (e) 2.00 μm; (f) 2.50 μm
Fig. 4. Simulation cabin extinction coefficient and visibility changes over time
Fig. 5. The mean spectral distribution of aerosols in simulate chamber. (a) Number concentration spectrum; (b) surface area spectrum; (c) volume spectrum
Fig. 6. Comparison curve of aerosol measured mean spectral distribution and piecewise fitting spectral distribution of each particle size interval. (a) r ≤ 0.45 μm; (b) 0.45 μm < r ≤ 0.8 μm; (c) r > 0.8 μm; (d) full particle size interval
Fig. 7. Correlation analysis of different methods fitting spectra and observation spectrum. (a) Junge spectrum fitting; (b) Deirmendjian spectrum fitting; (c) this paper's method fitting
Fig. 8. Correlation curves between calculated and measured visibility values
Fig. 9. Consistency test of each fitting method for low visibility below 2 km. (a) Junge spectrum; (b) Deirmendjian spectrum;(c) piecewise fitting spectrum
|
|
|
Get Citation
Copy Citation Text
Zibo ZHUANG, Xiaoting YANG, Hongda TAI. Influence of segmental fitting of aerosol spectrum on visibility calculation[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(3): 301
Category:
Received: Nov. 11, 2022
Accepted: --
Published Online: Jul. 17, 2024
The Author Email: Hongda TAI (hdtai@cauc.edu.cn)