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Determination of equivalent black carbon mass concentration from aerosol light absorption using variable mass absorption cross section.

Authors :
Zhao, Weilun
Tan, Wangshu
Zhao, Gang
Shen, Chuanyang
Yu, Yingli
Zhao, Chunsheng
Source :
Atmospheric Measurement Techniques. 2021, Vol. 14 Issue 2, p1319-1331. 13p.
Publication Year :
2021

Abstract

Atmospheric black carbon (BC) is the strongest solar radiative absorber in the atmosphere, exerting significant influences on the earth's radiation budget. The mass absorption cross section (MAC) is a crucial parameter for converting the light absorption coefficient (σab) to the equivalent BC mass concentration (EBC). Traditional filter-based instruments, such as the AE33, use a constant MAC of 7.77 m 2 /g at 880 nm to derive the EBC, which may lead to uncertainty in the EBC. In this paper, a new method of converting σab to the EBC is proposed by incorporating the variations of the MAC attributed to the influences of the aerosol coating state. A Mie simulation showed that the MAC varied dramatically with different core sizes and shell thicknesses. We compared our new method with the traditional method during a field measurement at a site on the North China Plain. The results showed that the MAC at 880 nm was smaller (larger) than 7.77 m 2 /g for particles smaller (larger) than 280 nm, resulting in an EBC mass size distribution derived from the new method that was higher (lower) than the traditional method for particles smaller (larger) than 280 nm. The size-integrated EBC derived from the new method was 16 % higher than that derived from the traditional method. Sensitivity analysis indicated that the uncertainty in the EBC caused by the refractive index (RI) was within 35 %, and the imaginary part of the RI had dominant influence on the derived EBC. This study emphasizes the necessity to take variations of the MAC into account when deriving the EBC from σab and can help constrain the uncertainty in EBC measurements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18671381
Volume :
14
Issue :
2
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques
Publication Type :
Academic Journal
Accession number :
149150378
Full Text :
https://doi.org/10.5194/amt-14-1319-2021