Articles | Volume 23, issue 3
https://doi.org/10.5194/acp-23-1803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-1803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Feb 2023
Research article |
| 02 Feb 2023
| 02 Feb 2023
Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations
Yuhang Song
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Chengzhi Xing
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei, 230026, China
Jinan Lin
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
Hongyu Wu
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, 230026, China
Ting Liu
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Hua Lin
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, 230026, China
Chengxin Zhang
Department of Precision Machinery and Precision Instrumentation, 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, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
Xiangguang Ji
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, 230026, China
Haoran Liu
Institute of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
Qihua Li
Institute of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
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Cited
11 citations as recorded by crossref.
- Driving Factors of NOx Emissions in China: Insights from Spatial Regression Analysis M. Abdelwahab et al. 10.3390/atmos15070793
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- 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. 10.1016/j.scitotenv.2023.169159
- Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer Z. Wang et al. 10.5194/acp-23-14271-2023
- Vertical distribution characteristics and potential sources of atmospheric pollutants in the North China Plain basing on the MAX-DOAS measurement G. Liu & Y. Wang 10.1186/s12302-024-00902-z
- Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China W. Liu & C. Xing 10.1007/s11783-024-1833-2
- Long-term observations of NO2 using GEMS in China: Validations and regional transport Y. Li et al. 10.1016/j.scitotenv.2023.166762
- A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou 10.1016/j.envpol.2023.123183
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Transport characteristics of urban and rural aerosols based on vertical observations and deep learning predictions T. Zou et al. 10.1016/j.atmosres.2024.107876
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
11 citations as recorded by crossref.
- Driving Factors of NOx Emissions in China: Insights from Spatial Regression Analysis M. Abdelwahab et al. 10.3390/atmos15070793
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- 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. 10.1016/j.scitotenv.2023.169159
- Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer Z. Wang et al. 10.5194/acp-23-14271-2023
- Vertical distribution characteristics and potential sources of atmospheric pollutants in the North China Plain basing on the MAX-DOAS measurement G. Liu & Y. Wang 10.1186/s12302-024-00902-z
- Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China W. Liu & C. Xing 10.1007/s11783-024-1833-2
- Long-term observations of NO2 using GEMS in China: Validations and regional transport Y. Li et al. 10.1016/j.scitotenv.2023.166762
- A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou 10.1016/j.envpol.2023.123183
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Transport characteristics of urban and rural aerosols based on vertical observations and deep learning predictions T. Zou et al. 10.1016/j.atmosres.2024.107876
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
Latest update: 25 Dec 2024
Short summary
Using the MAX-DOAS network, we successfully analyzed three typical transport types (regional, dust, and transboundary long-range transport), emphasizing the unique advantages provided by the network in monitoring pollutant transport. We think that our findings provide the public with a thorough understanding of pollutant transport phenomena and a reference for designing collaborative air pollution control strategies.
Using the MAX-DOAS network, we successfully analyzed three typical transport types (regional,...
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