Articles | Volume 20, issue 17
https://doi.org/10.5194/acp-20-10757-2020
© Author(s) 2020. 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-20-10757-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Sep 2020
Research article |
| 14 Sep 2020
| 14 Sep 2020
Retrieving tropospheric NO2 vertical column densities around the city of Beijing and estimating NOx emissions based on car MAX-DOAS measurements
Xinghong Cheng
CORRESPONDING AUTHOR
State Key Lab of Severe Weather & Key Laboratory for Atmospheric
Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
State Key Lab of Severe Weather & Key Laboratory for Atmospheric
Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Junli Jin
CMA Meteorological Observation Centre, Beijing 100081, China
Junrang Guo
State Key Lab of Severe Weather & Key Laboratory for Atmospheric
Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Yuelin Liu
College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Jida Peng
Meteorological Institute of Fujian, Fuzhou 350001, China
Xiaodan Ma
Nanjing University of Information Science and Technology, Nanjing
210044, China
Minglong Qian
China National Huayun Technology Development Corporation, Beijing
100081, China
Qiang Xia
China National Huayun Technology Development Corporation, Beijing
100081, China
Peng Yan
CMA Meteorological Observation Centre, Beijing 100081, China
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Cited
13 citations as recorded by crossref.
- Comprehensive Insights Into O3 Changes During the COVID‐19 From O3 Formation Regime and Atmospheric Oxidation Capacity S. Zhu et al. 10.1029/2021GL093668
- Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. 10.5572/KOSAE.2025.41.2.254
- Experimental Assessments of Anthropogenic Emissions of Nitrogen Oxides from the Territory of St. Petersburg Based on Data from Long-Term Mobile Measurements D. Ionov et al. 10.1134/S0001433824700154
- Deep learning approach for reconstructing three-dimensional distribution of NO2 on an urban scale Z. Zhang et al. 10.1016/j.rse.2025.114678
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- Assessment of the NOх integral emission from the St.Petersburg megacity by means of mobile DOAS measurements combined with dispersion modelling D. Ionov et al. 10.1016/j.apr.2022.101598
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- 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
- 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
- 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
- Experimental assessments of anthropogenic emissions of nitrogen oxides from the territory of St. Petersburg based on data from long-term mobile measurements D. Ionov et al. 10.31857/S0002351524020115
- Remote Spectrometric Measurements of Atmospheric Nitrogen Dioxide near Urban Thermal Power Plants D. Ionov & M. Makarova 10.1134/S1024856024701288
13 citations as recorded by crossref.
- Comprehensive Insights Into O3 Changes During the COVID‐19 From O3 Formation Regime and Atmospheric Oxidation Capacity S. Zhu et al. 10.1029/2021GL093668
- Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. 10.5572/KOSAE.2025.41.2.254
- Experimental Assessments of Anthropogenic Emissions of Nitrogen Oxides from the Territory of St. Petersburg Based on Data from Long-Term Mobile Measurements D. Ionov et al. 10.1134/S0001433824700154
- Deep learning approach for reconstructing three-dimensional distribution of NO2 on an urban scale Z. Zhang et al. 10.1016/j.rse.2025.114678
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- Assessment of the NOх integral emission from the St.Petersburg megacity by means of mobile DOAS measurements combined with dispersion modelling D. Ionov et al. 10.1016/j.apr.2022.101598
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- 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
- 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
- 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
- Experimental assessments of anthropogenic emissions of nitrogen oxides from the territory of St. Petersburg based on data from long-term mobile measurements D. Ionov et al. 10.31857/S0002351524020115
- Remote Spectrometric Measurements of Atmospheric Nitrogen Dioxide near Urban Thermal Power Plants D. Ionov & M. Makarova 10.1134/S1024856024701288
Latest update: 30 May 2025
Short summary
We carried out 19 city-circle-around Car MAX-DOAS experiments on the 6th Ring Road of Beijing in Jan, Sep, and Oct 2014. The tropospheric VCDs of NO2 are retrieved and their temporal and spatial distributions are investigated. Then the NOx emission rates in urban Beijing are estimated using the measured NO2 VCDs together with the refined wind fields, NO2-to-NOx ratios, and NO2 lifetimes simulated by the LAPS-WRF-CMAQ model system, and results are compared with the MEIC inventory in 2012.
We carried out 19 city-circle-around Car MAX-DOAS experiments on the 6th Ring Road of Beijing in...
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