Articles | Volume 21, issue 14
https://doi.org/10.5194/acp-21-10939-2021
© Author(s) 2021. 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-21-10939-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jul 2021
Research article |
| 20 Jul 2021
| 20 Jul 2021
The CO2 integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling
Department of Atmospheric Physics, Faculty of Physics, St Petersburg State University, St Petersburg, Russia
Department of Atmospheric Physics, Faculty of Physics, St Petersburg State University, St Petersburg, Russia
Frank Hase
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Stefani C. Foka
Department of Atmospheric Physics, Faculty of Physics, St Petersburg State University, St Petersburg, Russia
Vladimir S. Kostsov
Department of Atmospheric Physics, Faculty of Physics, St Petersburg State University, St Petersburg, Russia
Carlos Alberti
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Thomas Blumenstock
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Thorsten Warneke
Institute of Environmental Physics and Institute of Remote Sensing, University of Bremen, Bremen, Germany
Yana A. Virolainen
Department of Atmospheric Physics, Faculty of Physics, St Petersburg State University, St Petersburg, Russia
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Cited
13 citations as recorded by crossref.
- Experimental Estimates of Integral Anthropogenic CO2 Emissions in the City of St. Petersburg Y. Timofeyev et al. 10.1134/S0001433822030100
- 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
- Three-dimensional spatiotemporal variability of CO2 in suburban and urban areas of Shaoxing City in the Yangtze River Delta, China Z. Wu et al. 10.1016/j.scitotenv.2023.163501
- Anthropogenic CO2 emission estimates in the Tokyo metropolitan area from ground-based CO2 column observations H. Ohyama et al. 10.5194/acp-23-15097-2023
- Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Russian Investigations in the Field of Atmospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.1134/S0001433823150124
- Russian Investigations in the Field of Amtospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.31857/S000235152307012X
- Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software P. Aigner et al. 10.21105/joss.05131
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al. 10.1134/S0001433823020056
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al. 10.31857/S0002351523020050
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic Q. Kieu et al. 10.24057/2071-9388-2021-054
12 citations as recorded by crossref.
- Experimental Estimates of Integral Anthropogenic CO2 Emissions in the City of St. Petersburg Y. Timofeyev et al. 10.1134/S0001433822030100
- 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
- Three-dimensional spatiotemporal variability of CO2 in suburban and urban areas of Shaoxing City in the Yangtze River Delta, China Z. Wu et al. 10.1016/j.scitotenv.2023.163501
- Anthropogenic CO2 emission estimates in the Tokyo metropolitan area from ground-based CO2 column observations H. Ohyama et al. 10.5194/acp-23-15097-2023
- Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Russian Investigations in the Field of Atmospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.1134/S0001433823150124
- Russian Investigations in the Field of Amtospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.31857/S000235152307012X
- Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software P. Aigner et al. 10.21105/joss.05131
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al. 10.1134/S0001433823020056
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al. 10.31857/S0002351523020050
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
1 citations as recorded by crossref.
Latest update: 29 Jun 2024
Short summary
Megacities are a significant source of emissions of various substances in the atmosphere, including carbon dioxide, which is the most important anthropogenic greenhouse gas. In 2019–2020, the Emission Monitoring Mobile Experiment was carried out in St Petersburg, which is the second-largest industrial city in Russia. The results of this experiment, coupled with numerical modelling, helped to estimate the amount of CO2 emitted by the city. This value was twice as high as predicted.
Megacities are a significant source of emissions of various substances in the atmosphere,...
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