Ship-based MAX-DOAS measurements of tropospheric NO<sub>2</sub>, SO<sub>2</sub>, and HCHO distribution along the Yangtze River
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Published:2018-04-27
Issue:8
Volume:18
Page:5931-5951
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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:
Hong Qianqian, Liu ChengORCID, Chan Ka Lok, Hu Qihou, Xie Zhouqing, Liu Haoran, Si Fuqi, Liu JianguoORCID
Abstract
Abstract. In this paper, we present ship-based Multi-Axis Differential Optical
Absorption Spectroscopy (MAX-DOAS) measurements of tropospheric trace gases'
distribution along the Yangtze River during winter 2015. The measurements
were performed along the Yangtze River between Shanghai and Wuhan, covering
major industrial areas in eastern China. Tropospheric vertical column
densities (VCDs) of nitrogen dioxide (NO2), sulfur dioxide (SO2),
and formaldehyde (HCHO) were retrieved using the air mass factor calculated
by the radiative transfer model. Enhanced tropospheric NO2 and SO2
VCDs were detected over downwind areas of industrial zones over the Yangtze
River. In addition, spatial distributions of atmospheric pollutants are
strongly affected by meteorological conditions; i.e., positive correlations
were found between concentration of pollutants and wind speed over these
areas, indicating strong influence of transportation of pollutants from
high-emission upwind areas along the Yangtze River. Comparison of tropospheric
NO2 VCDs between ship-based MAX-DOAS and Ozone Monitoring Instrument
(OMI) satellite observations shows good agreement with each other, with a
Pearson correlation coefficient (R) of 0.82. In this study, the
NO2 ∕ SO2 ratio was used to estimate the relative contributions
of industrial sources and vehicle emissions to ambient NO2 levels.
Analysis results of the NO2 ∕ SO2 ratio show a higher
contribution of industrial NO2 emissions in Jiangsu Province, while
NO2 levels in Jiangxi and Hubei provinces are mainly related to vehicle
emissions. These results indicate that different pollution control strategies
should be applied in different provinces. In addition, multiple linear
regression analysis of ambient carbon monoxide (CO) and odd oxygen (Ox)
indicated that the primary emission and secondary formation of HCHO
contribute 54.4 ± 3.7 % and 39.3 ± 4.3 % to the ambient
HCHO, respectively. The largest contribution from primary emissions in winter
suggested that photochemically induced secondary formation of HCHO is reduced
due to lower solar irradiance in winter. Our findings provide an improved
understanding of major pollution sources along the eastern part of the
Yangtze River which are useful for designing specific air pollution control
policies.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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