Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3289-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3289-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jun 2019
Research article |
| 20 Jun 2019
| 20 Jun 2019
A new method to determine the aerosol optical properties from multiple-wavelength O4 absorptions by MAX-DOAS observation
Chengzhi Xing
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Center for Excellence in Regional Atmospheric Environment, Institute
of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Key Lab of Environmental Optics & Technology, Anhui Institute of
Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
Anhui Province Key Laboratory of Polar Environment and Global Change,
USTC, Hefei, 230026, China
Shanshan Wang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP), Department of Environmental Science and Engineering,
Fudan University, Shanghai, 200433, China
Shanghai Institute of Eco-Chongming (SIEC), No.3663 Northern Zhongshan
Road, Shanghai, 200062, China
Qihou Hu
Key Lab of Environmental Optics & Technology, Anhui Institute of
Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
Haoran Liu
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Wei Tan
Key Lab of Environmental Optics & Technology, Anhui Institute of
Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
Wenqiang Zhang
Key Lab of Environmental Optics & Technology, Anhui Institute of
Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
School of Environmental Science and Optoelectronic Technology,
University of Science and Technology of China, Hefei, 230026, China
Bo Li
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Jianguo Liu
Center for Excellence in Regional Atmospheric Environment, Institute
of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Key Lab of Environmental Optics & Technology, Anhui Institute of
Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
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- A Theoretical Model of RGB Attenuation of Solar Radiation Components Under Strong Aerosol Pollution of the Atmosphere Y. Aliyeva et al. https://doi.org/10.1007/s41810-021-00120-7
- Improved Anthropogenic SO2 Retrieval from High-Spatial-Resolution Satellite and its Application during the COVID-19 Pandemic C. Xia et al. https://doi.org/10.1021/acs.est.1c01970
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34 citations as recorded by crossref.
- Source analysis of the tropospheric NO2 based on MAX-DOAS measurements in northeastern China F. Liu et al. https://doi.org/10.1016/j.envpol.2022.119424
- Transport characteristics of urban and rural aerosols based on vertical observations and deep learning predictions T. Zou et al. https://doi.org/10.1016/j.atmosres.2024.107876
- A dataset of vertical profiles of O3 and HONO from the hyperspectral vertical remote sensing network in China (2021–2024) T. Zou et al. https://doi.org/10.5194/essd-18-3559-2026
- Estimation of PM2.5 Vertical Profiles from MAX-DOAS Observations Based on Machine Learning Algorithms Q. Li et al. https://doi.org/10.3390/rs17173063
- Observations of HONO and its precursors between urban and its surrounding agricultural fields: The vertical transports, sources and contribution to OH C. Xing et al. https://doi.org/10.1016/j.scitotenv.2023.169159
- Measuring the Vertical Profiles of Aerosol Extinction in the Lower Troposphere by MAX-DOAS at a Rural Site in the North China Plain S. Cheng et al. https://doi.org/10.3390/atmos11101037
- 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. https://doi.org/10.3390/rs13173518
- Vertical characteristics and potential sources of aerosols over northeast China using ground-based MAX-DOAS C. Gao et al. https://doi.org/10.1016/j.apr.2023.101691
- Observations of the vertical distributions of summertime atmospheric pollutants in Nam Co: OH production and source analysis C. Xing et al. https://doi.org/10.5194/acp-24-10093-2024
- Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea C. Xing et al. https://doi.org/10.1016/j.jenvman.2022.115721
- Basic Principles, Approaches, and Instruments for Studying, Characterizing, and Applying Natural and Artificial Fogs P. Todorov et al. https://doi.org/10.3390/w18010029
- Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. https://doi.org/10.1016/j.jes.2020.12.015
- Identification of ozone sensitivity for NO2 and secondary HCHO based on MAX-DOAS measurements in northeast China J. Xue et al. https://doi.org/10.1016/j.envint.2021.107048
- Fast-hyperspectral imaging remote sensing: Emission quantification of NO2 and SO2 from marine vessels C. Xing et al. https://doi.org/10.1038/s41377-025-01922-x
- UAV-Borne Two-Dimensional Differential Optical Absorption Spectroscopy for Observing the Spatial Distribution of Near-Surface Trace Gases F. Zuo et al. https://doi.org/10.3390/atmos17100934
- Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China H. Lin et al. https://doi.org/10.3390/rs12193193
- Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China W. Liu & C. Xing https://doi.org/10.1007/s11783-024-1833-2
- Meter-Scale UAV Hyperspectral Remote Sensing for Pollution Source Attribution: Dynamic Reference Spectrum Optimization and Surface Albedo Correction T. Zou et al. https://doi.org/10.1021/acs.est.5c08110
- A new insight into the vertical differences in NO2 heterogeneous reaction to produce HONO over inland and marginal seas C. Xing et al. https://doi.org/10.5194/acp-23-5815-2023
- Elevated dust layers inhibit dissipation of heavy anthropogenic surface air pollution Z. Wang et al. https://doi.org/10.5194/acp-20-14917-2020
- Construction of a virtual PM2.5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model K. Gui et al. https://doi.org/10.1016/j.envint.2020.105801
- VOCs hyperspectral imaging: A new insight into evaluate emissions and the corresponding health risk from industries C. Xing et al. https://doi.org/10.1016/j.jhazmat.2023.132573
- Vertical characterization and potential sources of aerosols in different seasons over the Yangtze River Delta using ground-based MAX-DOAS J. Ou et al. https://doi.org/10.1016/j.envpol.2021.116898
- Spatiotemporal Distribution, Sources, and Impact on Atmospheric Oxidation of Reactive Nitrogen Oxides in the North China Plain Agricultural Regions in Summer S. Wei et al. https://doi.org/10.3390/rs16173192
- Ground-Based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated Control of O3 and PM2.5 over China C. Liu et al. https://doi.org/10.1016/j.eng.2021.02.019
- Vertical distributions of wintertime atmospheric nitrogenous compounds and the corresponding OH radicals production in Leshan, southwest China C. Xing et al. https://doi.org/10.1016/j.jes.2020.11.019
- 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. https://doi.org/10.1016/j.jes.2020.09.036
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. https://doi.org/10.1016/j.earscirev.2022.103958
- Assessment of vertical characterization and potential sources of aerosols in different altitude layers: Combined application of MAX-DOAS observation and the 3D-CWT model J. Chen et al. https://doi.org/10.1016/j.atmosres.2023.107046
- A Novel Framework Integrating Spectrum Analysis and AI for Near-Ground-Surface PM2.5 Concentration Estimation H. Qin et al. https://doi.org/10.3390/rs17223780
- Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. https://doi.org/10.3390/rs13122244
- A Theoretical Model of RGB Attenuation of Solar Radiation Components Under Strong Aerosol Pollution of the Atmosphere Y. Aliyeva et al. https://doi.org/10.1007/s41810-021-00120-7
- Improved Anthropogenic SO2 Retrieval from High-Spatial-Resolution Satellite and its Application during the COVID-19 Pandemic C. Xia et al. https://doi.org/10.1021/acs.est.1c01970
- Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China C. Xing et al. https://doi.org/10.1016/j.scitotenv.2019.136258
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Short summary
Ground-based MAX-DOAS has been utilized for the remote sensing of aerosol and trace gases for more than 10 years. Here we developed a new method to determine the aerosol optical properties, including scattering and absorption, from multiple-wavelength O4 absorptions from ground-based MAX-DOAS observations, which were validated well by other independent instruments at low elevations. It is beneficial to obtain the vertical profiles of aerosol properties using multiple elevations.
Ground-based MAX-DOAS has been utilized for the remote sensing of aerosol and trace gases for...
