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
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
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Cited
22 citations as recorded by crossref.
- 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
- 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
- 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
- Near-surface and path-averaged mixing ratios of NO<sub>2</sub> 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
- 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
- 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
- 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
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM<sub>2.5</sub> concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
- Initial Cost Barrier of Ammonia Control in Central China M. Zheng et al. 10.1029/2019GL084351
- 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
- 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
- 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
- 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
- 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
- Surveillance of SO<sub>2</sub> and NO<sub>2</sub> 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 NO<sub>2</sub>, SO<sub>2</sub>, 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
- Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project L. Ma et al. 10.3390/rs13244996
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- 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
22 citations as recorded by crossref.
- 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
- 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
- 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
- Near-surface and path-averaged mixing ratios of NO<sub>2</sub> 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
- 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
- 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
- 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
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM<sub>2.5</sub> concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
- Initial Cost Barrier of Ammonia Control in Central China M. Zheng et al. 10.1029/2019GL084351
- 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
- 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
- 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
- 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
- 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
- Surveillance of SO<sub>2</sub> and NO<sub>2</sub> 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 NO<sub>2</sub>, SO<sub>2</sub>, 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
- Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project L. Ma et al. 10.3390/rs13244996
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- 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: 04 Jun 2023
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...
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