Measurement report: Contrasting elevation-dependent light absorption by black and brown carbon: lessons from in situ measurements from the highly polluted Sichuan Basin to the pristine Tibetan Plateau
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Published:2022-11-18
Issue:22
Volume:22
Page:14693-14708
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Zhao Suping,Qi Shaofeng,Yu Ye,Kang Shichang,Dong Longxiang,Chen Jinbei,Yin Daiying
Abstract
Abstract. Scientific knowledge about light absorption by aerosols is
extremely limited at the eastern slope of the Tibetan Plateau (ESTP). We
conducted the first aerosol field experiment at six sites (Chengdu,
Sanbacun, Wenchuan, Lixian, Maerkang, Hongyuan) along the ESTP, ranging in
elevation from 500 to 3500 m. The fraction of light absorption by brown
carbon (BrC) to total carbon increases from 20 % to 50 % with altitude,
and the mass absorption efficiency (MAE) of BrC over the Tibetan Plateau (TP) is 2–3 times
higher than that inside the Sichuan Basin (SCB), especially in winter. In
contrast, the MAE of elemental carbon (EC) in winter decreases with
altitude. The contrasting variation of EC and BrC MAE with altitude is
mainly attributed to source differences between the TP and SCB. Emissions
from the more urban sources (motor vehicles, industries, etc.) inside the
SCB fail to be transported to the TP due to the stable air in winter inside
the basin, which is also favourable for aerosol ageing to enhance absorption
efficiency. The radiative forcing of BrC relative to EC varies from 0.10 to
0.42 as altitude increases with the higher organic carbon (OC) to EC ratio over the TP than SCB.
Thus, the reason for the enhanced relative BrC to EC radiative forcing from
polluted SCB to pristine TP is that the BrC concentration decreases more
slowly than the EC concentration with altitude. This study contributes to
the understanding of the difference in light absorption by EC and BrC with
altitude, from polluted lower-altitude basins to the pristine TP, and
provides a data set for regional climate model validation.
Funder
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China Youth Innovation Promotion Association of the Chinese Academy of Sciences Science Fund for Distinguished Young Scholars of Gansu Province Key Science and Technology Foundation of Gansu Province
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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