Articles | Volume 17, issue 3
https://doi.org/10.5194/acp-17-2189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-2189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Ground-based MAX-DOAS observations of tropospheric aerosols, NO2, SO2 and HCHO in Wuxi, China, from 2011 to 2014
Max Planck Institute for Chemistry, Mainz, Germany
Johannes Lampel
Max Planck Institute for Chemistry, Mainz, Germany
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Pinhua Xie
CORRESPONDING AUTHOR
Anhui Institute of Optics and Fine Mechanics, Key laboratory of Environmental Optics and Technology, Chinese Academy of Sciences, Hefei, China
CAS Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, China
Steffen Beirle
Max Planck Institute for Chemistry, Mainz, Germany
Ang Li
Anhui Institute of Optics and Fine Mechanics, Key laboratory of Environmental Optics and Technology, Chinese Academy of Sciences, Hefei, China
Dexia Wu
Anhui Institute of Optics and Fine Mechanics, Key laboratory of Environmental Optics and Technology, Chinese Academy of Sciences, Hefei, China
Thomas Wagner
Max Planck Institute for Chemistry, Mainz, Germany
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- Ship-based MAX-DOAS measurements of tropospheric NO<sub>2</sub>, SO<sub>2</sub>, and HCHO distribution along the Yangtze River Q. Hong et al. 10.5194/acp-18-5931-2018
- Estimation of the Precipitable Water and Water Vapor Fluxes in the Coastal and Inland Cities of China Using MAX-DOAS H. Ren et al. 10.3390/rs13091675
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- McPrA - A new gas profile inversion algorithm for MAX-DOAS and apply to 50 m vertical resolution J. Zheng et al. 10.1016/j.scitotenv.2023.165828
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89 citations as recorded by crossref.
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- 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
- McPrA - A new gas profile inversion algorithm for MAX-DOAS and apply to 50 m vertical resolution J. Zheng et al. 10.1016/j.scitotenv.2023.165828
- Evaluating the multi-variable influence on O3, NO2, and HCHO using BRTs and RF model J. Khayyam et al. 10.1016/j.scitotenv.2024.171488
- Long-term observations of NO2 using GEMS in China: Validations and regional transport Y. Li et al. 10.1016/j.scitotenv.2023.166762
- Spatial-temporal distribution and emission of urban scale air pollutants in Hefei based on Mobile-DOAS Z. Zhang et al. 10.1016/j.jes.2024.02.037
- Observations of ozone vertical profiles and corresponding precursors in the low troposphere in Beijing, China X. Chi et al. 10.1016/j.atmosres.2018.06.012
- Vertical distribution and temporal evolution of formaldehyde and glyoxal derived from MAX-DOAS observations: The indicative role of VOC sources Q. Hong et al. 10.1016/j.jes.2021.09.025
- Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China C. Xing et al. 10.5194/acp-17-14275-2017
- Evolution of the vertical structure of air pollutants during winter heavy pollution episodes: The role of regional transport and potential sources Q. Hong et al. 10.1016/j.atmosres.2019.05.016
- Vertical characteristics of NO2 and HCHO, and the ozone formation regimes in Hefei, China B. Ren et al. 10.1016/j.scitotenv.2022.153425
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- Vertical profiles of NO<sub>2</sub>, SO<sub>2</sub>, HONO, HCHO, CHOCHO and aerosols derived from MAX-DOAS measurements at a rural site in the central western North China Plain and their relation to emission sources and effects of regional transport Y. Wang et al. 10.5194/acp-19-5417-2019
- Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. 10.1016/j.jes.2020.12.015
- A new insight into the vertical differences in NO2 heterogeneous reaction to produce HONO over inland and marginal seas C. Xing et al. 10.5194/acp-23-5815-2023
- Comparison of NMHC measurements between 2010 and 2020 in Wuxi City, Yangtze River Delta region: Levels, compositions, sources, and impacts C. Wang et al. 10.1016/j.apr.2024.102260
- Source contribution analysis of tropospheric NO2 based on two-dimensional MAX-DOAS measurements T. Yang et al. 10.1016/j.atmosenv.2019.04.058
- 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
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations Y. Song et al. 10.5194/acp-23-1803-2023
- Recommendations for spectral fitting of SO<sub>2</sub> from miniature multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements Z. Davis & R. McLaren 10.5194/amt-13-3993-2020
- A convolutional neural networks method for tropospheric ozone vertical distribution retrieval from Multi-AXis Differential Optical Absorption Spectroscopy measurements Z. Wang et al. 10.1016/j.scitotenv.2024.175049
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Latest update: 16 Aug 2024
Short summary
The air pollution in the Yangtze River delta (YRD), the largest economic region in China, threatens the health of the inhabitants in this region. A long-term MAX-DOAS observation in Wuxi, China (belonging to YRD), is used to characterize vertical distributions (VD) of the aerosols and the precursor trace gases in the boundary to identify the dominating sources. The results are valuable for further validation of satellite products and chemical transport modelings.
The air pollution in the Yangtze River delta (YRD), the largest economic region in China,...
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