elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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

Hong, Qianqian and Liu, Cheng and Chan, Ka Lok and Hu, Qihou and Xie, Zhouqing and Liu, Haoran and Si, Fuqi and 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), pp. 5931-5951. Copernicus Publications. ISSN 1680-7316

[img] PDF - Published version
6MB

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

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.

Item URL in elib:https://elib.dlr.de/129094/
Document Type:Article
Title:Ship-based MAX-DOAS measurements of tropospheric NO₂, SO₂, and HCHO distribution along the Yangtze River
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hong, QianqianAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Liu, ChengUniversity of Science and Technology of ChinaUNSPECIFIED
Chan, Ka LokKa.Chan (at) dlr.deUNSPECIFIED
Hu, QihouAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Xie, ZhouqingUniversity of Science and Technology of ChinaUNSPECIFIED
Liu, HaoranUniversity of Science and Technology of ChinaUNSPECIFIED
Si, FuqiAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Liu, JianguoAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Date:April 2018
Journal or Publication Title:Atmospheric Chemistry and Physics (ACP)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:18
Page Range:pp. 5931-5951
Publisher:Copernicus Publications
ISSN:1680-7316
Status:Published
Keywords:DOAS, HCHO
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Chan, Ka Lok
Deposited On:23 Sep 2019 12:02
Last Modified:23 Sep 2019 12:02

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.