Articles | Volume 17, issue 14
https://doi.org/10.5194/amt-17-4471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jul 2024
Research article |
| 26 Jul 2024
| 26 Jul 2024
A measurement system for CO2 and CH4 emissions quantification of industrial sites using a new in situ concentration sensor operated on board uncrewed aircraft vehicles
Jean-Louis Bonne
CORRESPONDING AUTHOR
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Ludovic Donnat
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Grégory Albora
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Jérémie Burgalat
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Nicolas Chauvin
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Delphine Combaz
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Julien Cousin
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Thomas Decarpenterie
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Olivier Duclaux
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Nicolas Dumelié
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Nicolas Galas
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Catherine Juery
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Florian Parent
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Florent Pineau
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Abel Maunoury
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Olivier Ventre
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Marie-France Bénassy
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Lilian Joly
CORRESPONDING AUTHOR
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
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Cited
13 citations as recorded by crossref.
- Controlled release testing of commercially available methane emission measurement technologies at the TADI facility A. McManemin et al. https://doi.org/10.5194/amt-19-923-2026
- Methodology for automated greenhouse gas data collection and transmission to cloud repository using low-cost drones A. Daud Filho et al. https://doi.org/10.1007/s10661-026-15478-9
- High-Resolution Modeling of Methane Plumes: Validation and Sensitivity Experiments to Explore Emission Quantification Approaches R. Yuvaraj et al. https://doi.org/10.1021/acs.est.5c15941
- Carbon accounting: review and case study on the development of a carbon baseline for military infrastructure C. Hicks et al. https://doi.org/10.1016/j.rser.2025.116511
- Application of UAV-based methods for quantifying methane point source emissions over an Arctic geological seep A. Bolek et al. https://doi.org/10.5194/amt-19-3983-2026
- The Flying Laboratory FLab: development and application of a UAS to measure aerosol particles and trace gases in the lower troposphere L. Moormann et al. https://doi.org/10.5194/amt-18-1441-2025
- Remote Sensing for Quantifying Greenhouse Gas Emissions at Carbon Capture, Utilisation and Storage Facilities: A Review C. Karoff et al. https://doi.org/10.3390/rs17223707
- Optical Gas Imaging with Cooled and Uncooled Thermal Infrared Cameras G. Jobert et al. https://doi.org/10.3390/s26103270
- Research on Carbon Dioxide Pipeline Leakage Localization Based on Gaussian Plume Model X. Li et al. https://doi.org/10.3390/pr13092994
- Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions N. van Ettinger et al. https://doi.org/10.5194/amt-19-3333-2026
- Boundary layer dynamics after rain fronts: high-resolution reconstruction and model validation using ground- and drone-based measurements L. Moormann et al. https://doi.org/10.5194/acp-26-8455-2026
- Open-Path Nitrous Oxide Sensor for UAV-Based Field Measurements V. Sevostianov et al. https://doi.org/10.1021/acsestengg.6c00149
- Performance Evaluation of Fixed-Point Continuous Monitoring Systems: Influence of Averaging Time in Complex Emission Environments D. Ball et al. https://doi.org/10.3390/s25092801
13 citations as recorded by crossref.
- Controlled release testing of commercially available methane emission measurement technologies at the TADI facility A. McManemin et al. https://doi.org/10.5194/amt-19-923-2026
- Methodology for automated greenhouse gas data collection and transmission to cloud repository using low-cost drones A. Daud Filho et al. https://doi.org/10.1007/s10661-026-15478-9
- High-Resolution Modeling of Methane Plumes: Validation and Sensitivity Experiments to Explore Emission Quantification Approaches R. Yuvaraj et al. https://doi.org/10.1021/acs.est.5c15941
- Carbon accounting: review and case study on the development of a carbon baseline for military infrastructure C. Hicks et al. https://doi.org/10.1016/j.rser.2025.116511
- Application of UAV-based methods for quantifying methane point source emissions over an Arctic geological seep A. Bolek et al. https://doi.org/10.5194/amt-19-3983-2026
- The Flying Laboratory FLab: development and application of a UAS to measure aerosol particles and trace gases in the lower troposphere L. Moormann et al. https://doi.org/10.5194/amt-18-1441-2025
- Remote Sensing for Quantifying Greenhouse Gas Emissions at Carbon Capture, Utilisation and Storage Facilities: A Review C. Karoff et al. https://doi.org/10.3390/rs17223707
- Optical Gas Imaging with Cooled and Uncooled Thermal Infrared Cameras G. Jobert et al. https://doi.org/10.3390/s26103270
- Research on Carbon Dioxide Pipeline Leakage Localization Based on Gaussian Plume Model X. Li et al. https://doi.org/10.3390/pr13092994
- Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions N. van Ettinger et al. https://doi.org/10.5194/amt-19-3333-2026
- Boundary layer dynamics after rain fronts: high-resolution reconstruction and model validation using ground- and drone-based measurements L. Moormann et al. https://doi.org/10.5194/acp-26-8455-2026
- Open-Path Nitrous Oxide Sensor for UAV-Based Field Measurements V. Sevostianov et al. https://doi.org/10.1021/acsestengg.6c00149
- Performance Evaluation of Fixed-Point Continuous Monitoring Systems: Influence of Averaging Time in Complex Emission Environments D. Ball et al. https://doi.org/10.3390/s25092801
Saved (final revised paper)
Latest update: 19 Aug 2026
Short summary
We present a top-down approach to quantify CO2 and CH4 emissions at the scale of an industrial site, based on a mass balance model relying on atmospheric concentrations measurements from a new sensor embarked on board uncrewed aircraft vehicles (UAVs). We present a laboratory characterization of our sensor and a field validation of our quantification method, together with field application to the monitoring of two real-world offshore oil and gas platforms.
We present a top-down approach to quantify CO2 and CH4 emissions at the scale of an industrial...
