Articles | Volume 18, issue 8
https://doi.org/10.5194/acp-18-5931-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-5931-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Apr 2018
Research article |
| 27 Apr 2018
| 27 Apr 2018
Ship-based MAX-DOAS measurements of tropospheric NO2, SO2, and HCHO distribution along the Yangtze River
Qianqian Hong
Key Lab of Environmental Optics and Technology, Anhui Institute of
Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese
Academy of Sciences, Hefei, 230031, China
Key Lab of Environmental Optics and Technology, Anhui Institute of
Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese
Academy of Sciences, Hefei, 230031, China
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
CAS Center for Excellence in Regional Atmos. Environ.,
Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Anhui Province Key Laboratory of Polar Environment and Global Change,
USTC, Hefei, 230026, China
Ka Lok Chan
CORRESPONDING AUTHOR
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),
Oberpfaffenhofen, Germany
Qihou Hu
Key Lab of Environmental Optics and Technology, Anhui Institute of
Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese
Academy of Sciences, Hefei, 230031, China
Zhouqing Xie
Key Lab of Environmental Optics and Technology, Anhui Institute of
Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese
Academy of Sciences, Hefei, 230031, China
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
CAS Center for Excellence in Regional Atmos. Environ.,
Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Anhui Province Key Laboratory of Polar Environment and Global Change,
USTC, Hefei, 230026, China
Haoran Liu
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Key Lab of Environmental Optics and Technology, Anhui Institute of
Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese
Academy of Sciences, Hefei, 230031, China
Jianguo Liu
Key Lab of Environmental Optics and Technology, Anhui Institute of
Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese
Academy of Sciences, Hefei, 230031, China
CAS Center for Excellence in Regional Atmos. Environ.,
Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Viewed
Total article views: 3,942 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jan 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,268 | 1,531 | 143 | 3,942 | 530 | 82 | 111 |
- HTML: 2,268
- PDF: 1,531
- XML: 143
- Total: 3,942
- Supplement: 530
- BibTeX: 82
- EndNote: 111
Total article views: 3,309 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Apr 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,940 | 1,240 | 129 | 3,309 | 315 | 77 | 100 |
- HTML: 1,940
- PDF: 1,240
- XML: 129
- Total: 3,309
- Supplement: 315
- BibTeX: 77
- EndNote: 100
Total article views: 633 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jan 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 328 | 291 | 14 | 633 | 215 | 5 | 11 |
- HTML: 328
- PDF: 291
- XML: 14
- Total: 633
- Supplement: 215
- BibTeX: 5
- EndNote: 11
Viewed (geographical distribution)
Total article views: 3,942 (including HTML, PDF, and XML)
Thereof 3,932 with geography defined
and 10 with unknown origin.
Total article views: 3,309 (including HTML, PDF, and XML)
Thereof 3,301 with geography defined
and 8 with unknown origin.
Total article views: 633 (including HTML, PDF, and XML)
Thereof 631 with geography defined
and 2 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
38 citations as recorded by crossref.
- Source identification of volatile organic compounds precursors from glyoxal and secondary formaldehyde utilizing MAX-DOAS observations in guangzhou, China J. Xing et al. 10.1016/j.atmosres.2025.108256
- Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. 10.1016/j.atmosres.2020.105037
- Near-surface and path-averaged mixing ratios of NO2 derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study S. Schreier et al. 10.5194/acp-19-5853-2019
- Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
- Investigation of formaldehyde sources and its relative emission intensity in shipping channel environment J. Liu et al. 10.1016/j.jes.2023.06.020
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
- Ozone profiles without blind area retrieved from MAX-DOAS measurements and comprehensive validation with multi-platform observations X. Ji et al. 10.1016/j.rse.2022.113339
- Effect of Secondary HCHO and Ozone Formation during SIJAQ 2021 Campaign - Analysis of HCHO-2,4-DNPH Using LC/QTOF S. Choe et al. 10.5572/KOSAE.2022.38.4.577
- Initial Cost Barrier of Ammonia Control in Central China M. Zheng et al. 10.1029/2019GL084351
- Processes Driving Diurnal and Seasonal Variations of Formaldehyde in an Urban Environment C. Du et al. 10.1021/acsearthspacechem.5c00020
- Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
- Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements C. Rivera Cárdenas et al. 10.5194/amt-14-595-2021
- Identification of ozone sensitivity for NO2 and secondary HCHO based on MAX-DOAS measurements in northeast China J. Xue et al. 10.1016/j.envint.2021.107048
- Investigating the Sources of Formaldehyde and Corresponding Photochemical Indications at a Suburb Site in Shanghai From MAX‐DOAS Measurements S. Zhang et al. 10.1029/2020JD033351
- Vertical distributions of tropospheric SO2 based on MAX-DOAS observations: Investigating the impacts of regional transport at different heights in the boundary layer Q. Hong et al. 10.1016/j.jes.2020.09.036
- Ground-based measurements of atmospheric NH3 by Fourier transform infrared spectrometry at Hefei and comparisons with IASI data W. Wang et al. 10.1016/j.atmosenv.2022.119256
- Surveillance of SO2 and NO2 from ship emissions by MAX-DOAS measurements and the implications regarding fuel sulfur content compliance Y. Cheng et al. 10.5194/acp-19-13611-2019
- Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation Y. Sun et al. 10.5194/acp-21-6365-2021
- Tropospheric NO2, SO2, and HCHO over the East China Sea, using ship-based MAX-DOAS observations and comparison with OMI and OMPS satellite data W. Tan et al. 10.5194/acp-18-15387-2018
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Mobile MAX-DOAS measurements and source analysis of NO2, HCHO, and HONO during the Chengdu 2023 FISU World University Games Q. Zhang et al. 10.1016/j.jes.2025.04.051
- Observations by Ground-Based MAX-DOAS of the Vertical Characters of Winter Pollution and the Influencing Factors of HONO Generation in Shanghai, China S. Xu et al. 10.3390/rs13173518
- Concept of small satellite UV/visible imaging spectrometer optimized for tropospheric NO2 measurements in air quality monitoring T. Fujinawa et al. 10.1016/j.actaastro.2019.03.081
- Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations W. Tan et al. 10.1016/j.atmosenv.2018.12.009
- Investigating vertical distributions and photochemical indications of formaldehyde, glyoxal, and NO2 from MAX-DOAS observations in four typical cities of China Q. Hong et al. 10.1016/j.scitotenv.2024.176447
- Opposing trends in the peak and low ozone concentrations in eastern China: anthropogenic and meteorological influences Z. Wang et al. 10.5194/acp-25-347-2025
- Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. 10.3390/rs13091798
- Temporal Variations and Source Analysis of Ambient Carbonyls in Hangzhou: A City-Level Study in the Yangtze River Delta Region, China H. Xu et al. 10.1016/j.jes.2025.02.053
- Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China C. Xing et al. 10.1016/j.scitotenv.2019.136258
- Source analysis of the tropospheric NO2 based on MAX-DOAS measurements in northeastern China F. Liu et al. 10.1016/j.envpol.2022.119424
- Mobile MAX-DOAS observations of tropospheric NO2 and HCHO during summer over the Three Rivers' Source region in China S. Cheng et al. 10.5194/acp-23-3655-2023
- Determination of Urban Formaldehyde Emission Ratios in the Shanghai Megacity Y. Liu et al. 10.1021/acs.est.3c06428
- Investigating the Effect of Different Meteorological Conditions on MAX-DOAS Observations of NO2 and CHOCHO in Hefei, China Z. Javed et al. 10.3390/atmos10070353
- Primary and secondary sources of ambient formaldehyde in the Yangtze River Delta based on Ozone Mapping and Profiler Suite (OMPS) observations W. Su et al. 10.5194/acp-19-6717-2019
- Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China C. Lu et al. 10.3390/rs16040662
- Prediction of Vertical Profile of NO₂ Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing S. Zhang et al. 10.1109/TGRS.2021.3061476
- Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project L. Ma et al. 10.3390/rs13244996
- Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai X. Li et al. 10.3390/rs13050892
38 citations as recorded by crossref.
- Source identification of volatile organic compounds precursors from glyoxal and secondary formaldehyde utilizing MAX-DOAS observations in guangzhou, China J. Xing et al. 10.1016/j.atmosres.2025.108256
- Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. 10.1016/j.atmosres.2020.105037
- Near-surface and path-averaged mixing ratios of NO2 derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study S. Schreier et al. 10.5194/acp-19-5853-2019
- Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
- Investigation of formaldehyde sources and its relative emission intensity in shipping channel environment J. Liu et al. 10.1016/j.jes.2023.06.020
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
- Ozone profiles without blind area retrieved from MAX-DOAS measurements and comprehensive validation with multi-platform observations X. Ji et al. 10.1016/j.rse.2022.113339
- Effect of Secondary HCHO and Ozone Formation during SIJAQ 2021 Campaign - Analysis of HCHO-2,4-DNPH Using LC/QTOF S. Choe et al. 10.5572/KOSAE.2022.38.4.577
- Initial Cost Barrier of Ammonia Control in Central China M. Zheng et al. 10.1029/2019GL084351
- Processes Driving Diurnal and Seasonal Variations of Formaldehyde in an Urban Environment C. Du et al. 10.1021/acsearthspacechem.5c00020
- Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
- Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements C. Rivera Cárdenas et al. 10.5194/amt-14-595-2021
- Identification of ozone sensitivity for NO2 and secondary HCHO based on MAX-DOAS measurements in northeast China J. Xue et al. 10.1016/j.envint.2021.107048
- Investigating the Sources of Formaldehyde and Corresponding Photochemical Indications at a Suburb Site in Shanghai From MAX‐DOAS Measurements S. Zhang et al. 10.1029/2020JD033351
- Vertical distributions of tropospheric SO2 based on MAX-DOAS observations: Investigating the impacts of regional transport at different heights in the boundary layer Q. Hong et al. 10.1016/j.jes.2020.09.036
- Ground-based measurements of atmospheric NH3 by Fourier transform infrared spectrometry at Hefei and comparisons with IASI data W. Wang et al. 10.1016/j.atmosenv.2022.119256
- Surveillance of SO2 and NO2 from ship emissions by MAX-DOAS measurements and the implications regarding fuel sulfur content compliance Y. Cheng et al. 10.5194/acp-19-13611-2019
- Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation Y. Sun et al. 10.5194/acp-21-6365-2021
- Tropospheric NO2, SO2, and HCHO over the East China Sea, using ship-based MAX-DOAS observations and comparison with OMI and OMPS satellite data W. Tan et al. 10.5194/acp-18-15387-2018
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Mobile MAX-DOAS measurements and source analysis of NO2, HCHO, and HONO during the Chengdu 2023 FISU World University Games Q. Zhang et al. 10.1016/j.jes.2025.04.051
- Observations by Ground-Based MAX-DOAS of the Vertical Characters of Winter Pollution and the Influencing Factors of HONO Generation in Shanghai, China S. Xu et al. 10.3390/rs13173518
- Concept of small satellite UV/visible imaging spectrometer optimized for tropospheric NO2 measurements in air quality monitoring T. Fujinawa et al. 10.1016/j.actaastro.2019.03.081
- Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations W. Tan et al. 10.1016/j.atmosenv.2018.12.009
- Investigating vertical distributions and photochemical indications of formaldehyde, glyoxal, and NO2 from MAX-DOAS observations in four typical cities of China Q. Hong et al. 10.1016/j.scitotenv.2024.176447
- Opposing trends in the peak and low ozone concentrations in eastern China: anthropogenic and meteorological influences Z. Wang et al. 10.5194/acp-25-347-2025
- Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. 10.3390/rs13091798
- Temporal Variations and Source Analysis of Ambient Carbonyls in Hangzhou: A City-Level Study in the Yangtze River Delta Region, China H. Xu et al. 10.1016/j.jes.2025.02.053
- Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China C. Xing et al. 10.1016/j.scitotenv.2019.136258
- Source analysis of the tropospheric NO2 based on MAX-DOAS measurements in northeastern China F. Liu et al. 10.1016/j.envpol.2022.119424
- Mobile MAX-DOAS observations of tropospheric NO2 and HCHO during summer over the Three Rivers' Source region in China S. Cheng et al. 10.5194/acp-23-3655-2023
- Determination of Urban Formaldehyde Emission Ratios in the Shanghai Megacity Y. Liu et al. 10.1021/acs.est.3c06428
- Investigating the Effect of Different Meteorological Conditions on MAX-DOAS Observations of NO2 and CHOCHO in Hefei, China Z. Javed et al. 10.3390/atmos10070353
- Primary and secondary sources of ambient formaldehyde in the Yangtze River Delta based on Ozone Mapping and Profiler Suite (OMPS) observations W. Su et al. 10.5194/acp-19-6717-2019
- Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China C. Lu et al. 10.3390/rs16040662
- Prediction of Vertical Profile of NO₂ Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing S. Zhang et al. 10.1109/TGRS.2021.3061476
- Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project L. Ma et al. 10.3390/rs13244996
- Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai X. Li et al. 10.3390/rs13050892
Latest update: 02 Jul 2025
Short summary
We presented ship-based MAX-DOAS measurements of tropospheric trace gases' distribution along the eastern part of the Yangtze River during winter 2015. Tropospheric VCDs of NO2, SO2, and HCHO were retrieved from MAX-DOAS measurement spectra. Enhanced tropospheric NO2 and SO2 VCDs were detected over downwind areas of industrial zones over the Yangtze River. Our results indicate that different pollution control strategies should be applied in different provinces.
We presented ship-based MAX-DOAS measurements of tropospheric trace gases' distribution along...
Altmetrics
Final-revised paper
Preprint