Articles | Volume 18, issue 3
https://doi.org/10.5194/acp-18-1535-2018
© 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-18-1535-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Feb 2018
Research article |
| 02 Feb 2018
| 02 Feb 2018
Investigations of temporal and spatial distribution of precursors SO2 and NO2 vertical columns in the North China Plain using mobile DOAS
Fengcheng Wu
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Hefei, 230031, China
Pinhua Xie
CORRESPONDING AUTHOR
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, 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
School of Environmental Science and Optoelectronic
Technology, University of Science and Technology of China, Hefei,
230026, China
Ang Li
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Hefei, 230031, China
Fusheng Mou
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Hefei, 230031, China
Hao Chen
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Hefei, 230031, China
Yi Zhu
State Key Laboratory of Environmental Simulation and
Pollution Control, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
State Key Laboratory of Environmental Simulation and
Pollution Control, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Jianguo Liu
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Hefei, 230031, China
Wenqing Liu
Key Laboratory of Environmental Optical and Technology,
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of
Sciences, Hefei, 230031, China
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33 citations as recorded by crossref.
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- Validation of MAX-DOAS retrievals of aerosol extinction, SO<sub>2</sub>, and NO<sub>2</sub> through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region Z. Davis et al. 10.5194/amt-13-1129-2020
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- 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
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- 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
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- The high-resolution estimation of sulfur dioxide (SO2) concentration, health effect and monetary costs in Beijing Y. Wu et al. 10.1016/j.chemosphere.2019.125031
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- Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
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- Carbonaceous aerosol emission reduction over Shandong province and the impact of air pollution control as observed from synthetic satellite data R. Kalluri et al. 10.1016/j.atmosenv.2019.117150
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- Vertical profiles of aerosol and NO2 based on mobile multi-axis differential absorption spectroscopy Q. Zhang et al. 10.1016/j.apr.2023.101732
33 citations as recorded by crossref.
- A study of elevated pollution layer over the North China Plain using aircraft measurements Q. Liu et al. 10.1016/j.atmosenv.2018.07.024
- Observation of CO2 Regional Distribution Using an Airborne Infrared Remote Sensing Spectrometer (Air-IRSS) in the North China Plain R. Wang et al. 10.3390/rs11020123
- Real-Time Monitoring of SO2 Emissions Using a UV Camera with Built-in NO2 and Aerosol Corrections Y. Xiong et al. 10.3390/s22103900
- Validation of MAX-DOAS retrievals of aerosol extinction, SO<sub>2</sub>, and NO<sub>2</sub> through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region Z. Davis et al. 10.5194/amt-13-1129-2020
- Effects of AIR pollution on cardiopuLmonary disEaSe in urban and peri-urban reSidents in Beijing: protocol for the AIRLESS study Y. Han et al. 10.5194/acp-20-15775-2020
- 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
- The quantification of NO<sub><i>x</i></sub> and SO<sub>2</sub> point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. 10.5194/amt-13-6025-2020
- Quantifying emission fluxes of atmospheric pollutants from mobile differential optical absorption spectroscopic (DOAS) observations Q. Zhang et al. 10.1016/j.saa.2022.121959
- Car-Borne Measurements of Atmospheric NO2 by a Compact Broadband Cavity Enhanced Absorption Spectrometer L. Ling et al. 10.1007/s10812-021-01257-6
- Source analysis of the tropospheric NO2 based on MAX-DOAS measurements in northeastern China F. Liu et al. 10.1016/j.envpol.2022.119424
- The feedback effects of aerosols from different sources on the urban boundary layer in Beijing China J. Xin et al. 10.1016/j.envpol.2023.121440
- 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
- Fluorescent aerosol observation in the lower atmosphere with an integrated fluorescence-Mie lidar B. Li et al. 10.1016/j.jqsrt.2019.02.019
- Properties of particulate matter and gaseous pollutants in Shandong, China: Daily fluctuation, influencing factors, and spatiotemporal distribution Y. Yao et al. 10.1016/j.scitotenv.2019.01.026
- Key emergency response technologies for abrupt air pollution accidents in China J. Duan et al. 10.1016/j.jes.2022.03.030
- 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
- Unexpected quenching effect on new particle formation from the atmospheric reaction of methanol with SO 3 L. Liu et al. 10.1073/pnas.1915459116
- 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
- The Causes of “Vulnerable Regions” to Air Pollution in Winter in the Beijing-Tianjin-Hebei Region: A Topographic–Meteorological Impact Model Based on Adaptive Emission Constraint Technique K. Meng et al. 10.3390/atmos10110719
- A proxy for atmospheric daytime gaseous sulfuric acid concentration in urban Beijing Y. Lu et al. 10.5194/acp-19-1971-2019
- Comprehensive study of regional haze in the North China Plain with synergistic measurement from multiple mobile vehicle-based lidars and a lidar network L. Lv et al. 10.1016/j.scitotenv.2020.137773
- 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
- Retrieving tropospheric NO<sub>2</sub> vertical column densities around the city of Beijing and estimating NO<sub><i>x</i></sub> emissions based on car MAX-DOAS measurements X. Cheng et al. 10.5194/acp-20-10757-2020
- The high-resolution estimation of sulfur dioxide (SO2) concentration, health effect and monetary costs in Beijing Y. Wu et al. 10.1016/j.chemosphere.2019.125031
- Spatial variability of air pollutants in a megacity characterized by mobile measurements R. Khuzestani et al. 10.5194/acp-22-7389-2022
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Continuous Measurement and Molecular Compositions of Atmospheric Water‐Soluble Brown Carbon in the Nearshore Marine Boundary Layer of Northern China: Secondary Formation and Influencing Factors H. Li et al. 10.1029/2023JD038565
- Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
- Reduced volatility of aerosols from surface emissions to the top of the planetary boundary layer Q. Liu et al. 10.5194/acp-21-14749-2021
- NOx Emission Flux Measurements with Multiple Mobile-DOAS Instruments in Beijing Y. Huang et al. 10.3390/rs12162527
- Carbonaceous aerosol emission reduction over Shandong province and the impact of air pollution control as observed from synthetic satellite data R. Kalluri et al. 10.1016/j.atmosenv.2019.117150
- Research on Automatic Wavelength Calibration of Passive DOAS Observations Based on Sequence Matching Method J. Zheng et al. 10.3390/rs16091485
- Vertical profiles of aerosol and NO2 based on mobile multi-axis differential absorption spectroscopy Q. Zhang et al. 10.1016/j.apr.2023.101732
Latest update: 23 Nov 2024
Short summary
Investigating the temporal and spatial distribution of pollutants, emissions, and pollution transport is necessary to better understand the effect of various sources on air quality. We report on mobile differential optical absorption spectroscopy (mobile DOAS) observations of precursors SO2 and NO2 vertical columns in NCP in the summer of 2013 (from 11 June to 7 July) in this study.
Investigating the temporal and spatial distribution of pollutants, emissions, and pollution...
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