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Contrastive Analysis of Extinction Coefficient of Aerosol in Beijing Based on Revised IMPROVE Equation and MIE Method |
Received:January 30, 2019 Revised:June 25, 2019 |
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DOI:10.7643/ issn.1672-9242.2019.06.019 |
KeyWord:extinction coefficient Revised IMPROVE MIE method |
Author | Institution |
LIU Bin |
1. College of Meteorology and Oceanography, National University of Defense Technology, Nanjing , China |
ZANG Zeng-liang |
1. College of Meteorology and Oceanography, National University of Defense Technology, Nanjing , China |
TIAN Ping |
2. Beijing Key Laboratory of Cloud, Precipitation, and Atmospheric Water Resources, Beijing , China |
YAN Peng |
3. Meteorological Observation Centre of CMA, |
CAI Heng-ming |
4. Unit 93220 of PLA, Harbin , China |
ZHANG Ren-jian |
5. CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing , China |
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Abstract: |
Objective To compare and analyze the applicability of the Revised IMPROVE equation and MIE method for calculation of the extinction coefficient of aerosol in Beijing. Methods Based on the observation data of atmospheric particulate matter concentration in Beijing from June 3 to June 30, 2012, the extinction coefficient of particulate matter was calculated by Revised IMPROVE and MIE methods respectively. The particle size distribution of MIE method was based on the total bimodal distribution volume spectrum and the chemical composition volume spectrum of the two schemes were cycled to obtain the best fitting results. The calculated results were compared and analyzed with the measured data of integrating nephelometer and ae-thalometer. Results The Revised IMPROVE equation, the total bimodal volume spectrum MIE method and the chemical com-position volume spectrum MIE method could calculate the extinction coefficient of atmospheric particulate matter. The correlation coefficient R of the regression equation with observation results reached 0.952, 0.9686 and 0.9734, respectively. The cyclical test method of the volume spectrum distribution parameter can also obtain the volume spectrum distribution parameters of the aerosol, and the peaks of the fine particles and the coarse particles obtained by the total bimodal volume spectrum and the chemical composition volume spectrum MIE method were 0.74, 7.5 μm and 0.48, 6.0 μm respectively. Conclusion The extinction coefficient calculated by the chemical component volume spectrum MIE method is the closest to that of the observation. The Revised IMPROVE equation also has high accuracy. The peak volume spectrum of particles obtained by the chemical component volume spectrum MIE method is also consistent with the actual observation results. |
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