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Ship-based MAX-DOAS measurements of tropospheric NO₂, SO₂, and HCHO distribution along the Yangtze River

Hong, Qianqian und Liu, Cheng und Chan, Ka Lok und Hu, Qihou und Xie, Zhouqing und Liu, Haoran und Si, Fuqi und Liu, Jianguo (2018) Ship-based MAX-DOAS measurements of tropospheric NO₂, SO₂, and HCHO distribution along the Yangtze River. Atmospheric Chemistry and Physics (ACP), 18 (8), Seiten 5931-5951. Copernicus Publications. doi: 10.5194/acp-18-5931-2018. ISSN 1680-7316.

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Offizielle URL: https://www.atmos-chem-phys.net/18/5931/2018/

Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/129094/
Dokumentart:Zeitschriftenbeitrag
Titel:Ship-based MAX-DOAS measurements of tropospheric NO₂, SO₂, and HCHO distribution along the Yangtze River
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iD
Hong, QianqianAnhui Institute of Optics and Fine Mechanics
Liu, ChengUniversity of Science and Technology of China
Chan, Ka Lok*Ka.Chan (at) dlr.de
Hu, QihouAnhui Institute of Optics and Fine Mechanics
Xie, ZhouqingUniversity of Science and Technology of China
Liu, HaoranUniversity of Science and Technology of China
Si, FuqiAnhui Institute of Optics and Fine Mechanics
Liu, JianguoAnhui Institute of Optics and Fine Mechanics
*DLR corresponding author
Datum:April 2018
Erschienen in:Atmospheric Chemistry and Physics (ACP)
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:18
DOI:10.5194/acp-18-5931-2018
Seitenbereich:Seiten 5931-5951
Verlag:Copernicus Publications
ISSN:1680-7316
Status:veröffentlicht
Stichwörter:DOAS, HCHO
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):Vorhaben Spektroskopische Verfahren in der Fernerkundung (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Atmosphärenprozessoren
Hinterlegt von: Chan, Ka Lok
Hinterlegt am:23 Sep 2019 12:02
Letzte Änderung:02 Nov 2023 10:26

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