Articles | Volume 14, issue 9
https://doi.org/10.5194/amt-14-5987-2021
© 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/amt-14-5987-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mobile atmospheric measurements and local-scale inverse estimation of the location and rates of brief CH4 and CO2 releases from point sources
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Grégoire Broquet
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Camille Yver-Kwok
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Olivier Laurent
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Susan Gichuki
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Christopher Caldow
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Ford Cropley
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Thomas Lauvaux
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Guillaume Berthe
IFP Energies nouvelles-Géoscience, 92852 Rueil-Malmaison CEDEX,
France
Frédéric Martin
IFP Energies nouvelles-Géoscience, 92852 Rueil-Malmaison CEDEX,
France
Olivier Duclaux
TOTAL Laboratoire Qualité de l'Air (LQA), 69360 Solaize CEDEX,
France
Catherine Juery
TOTAL Laboratoire Qualité de l'Air (LQA), 69360 Solaize CEDEX,
France
Caroline Bouchet
SUEZ-Smart & Environmental Solutions, Tour CB21/16 place de l'Iris,
92040, La Défense, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL),
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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Cited
14 citations as recorded by crossref.
- Integrated mobile monitoring and atmospheric modeling for methane emission assessment in an industrial-agricultural hub: A case study of Binzhou, China Y. Luo et al. https://doi.org/10.1016/j.apr.2025.102801
- Using metal oxide gas sensors to estimate the emission rates and locations of methane leaks in an industrial site: assessment with controlled methane releases R. Rivera-Martinez et al. https://doi.org/10.5194/amt-17-4257-2024
- Quantification of methane emission rate from oil and gas wells in Romania using ground-based measurement techniques P. Korbeń et al. https://doi.org/10.1525/elementa.2022.00070
- Locating and quantifying CH4 sources within a wastewater treatment plant based on mobile measurements J. Yang et al. https://doi.org/10.5194/acp-25-4571-2025
- Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors R. Rivera Martinez et al. https://doi.org/10.5194/amt-16-2209-2023
- Assessment of current methane emission quantification techniques for natural gas midstream applications Y. Liu et al. https://doi.org/10.5194/amt-17-1633-2024
- Best practices and uncertainties in CH4 emission quantification: employing mobile measurements and Gaussian plume modelling at a biogas plant J. Wietzel et al. https://doi.org/10.5194/amt-18-4631-2025
- Majority of methane emissions from European biogas plant supply chains could be eliminated at no net cost M. Olczak et al. https://doi.org/10.1038/s44458-026-00065-3
- Direct measurement of methane emissions from the upstream oil and gas sector: Review of measurement results and technology advances (2018–2022) X. Yang et al. https://doi.org/10.1016/j.jclepro.2023.137693
- 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 J. Bonne et al. https://doi.org/10.5194/amt-17-4471-2024
- Detection and long-term quantification of methane emissions from an active landfill P. Kumar et al. https://doi.org/10.5194/amt-17-1229-2024
- Accuracy of tracer-based methane flux quantification: underlying impact of calibrating acetylene measurements A. Shah et al. https://doi.org/10.5194/amt-18-3425-2025
- Global methane emissions from natural gas transmission and distribution networks G. Hureau et al. https://doi.org/10.2516/stet/2025007
- 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
14 citations as recorded by crossref.
- Integrated mobile monitoring and atmospheric modeling for methane emission assessment in an industrial-agricultural hub: A case study of Binzhou, China Y. Luo et al. https://doi.org/10.1016/j.apr.2025.102801
- Using metal oxide gas sensors to estimate the emission rates and locations of methane leaks in an industrial site: assessment with controlled methane releases R. Rivera-Martinez et al. https://doi.org/10.5194/amt-17-4257-2024
- Quantification of methane emission rate from oil and gas wells in Romania using ground-based measurement techniques P. Korbeń et al. https://doi.org/10.1525/elementa.2022.00070
- Locating and quantifying CH4 sources within a wastewater treatment plant based on mobile measurements J. Yang et al. https://doi.org/10.5194/acp-25-4571-2025
- Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors R. Rivera Martinez et al. https://doi.org/10.5194/amt-16-2209-2023
- Assessment of current methane emission quantification techniques for natural gas midstream applications Y. Liu et al. https://doi.org/10.5194/amt-17-1633-2024
- Best practices and uncertainties in CH4 emission quantification: employing mobile measurements and Gaussian plume modelling at a biogas plant J. Wietzel et al. https://doi.org/10.5194/amt-18-4631-2025
- Majority of methane emissions from European biogas plant supply chains could be eliminated at no net cost M. Olczak et al. https://doi.org/10.1038/s44458-026-00065-3
- Direct measurement of methane emissions from the upstream oil and gas sector: Review of measurement results and technology advances (2018–2022) X. Yang et al. https://doi.org/10.1016/j.jclepro.2023.137693
- 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 J. Bonne et al. https://doi.org/10.5194/amt-17-4471-2024
- Detection and long-term quantification of methane emissions from an active landfill P. Kumar et al. https://doi.org/10.5194/amt-17-1229-2024
- Accuracy of tracer-based methane flux quantification: underlying impact of calibrating acetylene measurements A. Shah et al. https://doi.org/10.5194/amt-18-3425-2025
- Global methane emissions from natural gas transmission and distribution networks G. Hureau et al. https://doi.org/10.2516/stet/2025007
- 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
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
This study presents a simple atmospheric inversion modeling framework for the localization and quantification of unknown CH4 and CO2 emissions from point sources based on near-surface mobile concentration measurements and a Gaussian plume dispersion model. It is applied for the estimate of a series of brief controlled releases of CH4 and CO2 with a wide range of rates during the TOTAL TADI-2018 experiment. Results indicate a ~10 %–40 % average error on the estimate of the release rates.
This study presents a simple atmospheric inversion modeling framework for the localization and...