Articles | Volume 16, issue 8 
            
                
                    
            
            
            https://doi.org/10.5194/amt-16-2209-2023
                    © Author(s) 2023. 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-16-2209-2023
                    © Author(s) 2023. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors
Rodrigo Andres Rivera Martinez
CORRESPONDING AUTHOR
                                            
                                    
                                            Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,  CEA-CNRS-UVSQ, Université Paris-Saclay,  91191 Gif-sur-Yvette, France
                                        
                                    Diego Santaren
                                            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
                                        
                                    Gregoire Broquet
                                            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
                                        
                                    Cécile Mallet
                                            Laboratoire Atmosphères Milieux, Observations Spatiales, LATMOS-IPSL, UMR8190 – CNRS/INSU,
Université de Versailles Saint-Quentin, Quartier des Garennes, 11 Boulevard d'Alembert, 78280 Guyancourt, 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
                                        
                                    Adil Shah
                                            Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,  CEA-CNRS-UVSQ, Université Paris-Saclay,  91191 Gif-sur-Yvette, France
                                        
                                    Leonard Rivier
                                            Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,  CEA-CNRS-UVSQ, Université Paris-Saclay,  91191 Gif-sur-Yvette, France
                                        
                                    Caroline Bouchet
                                            SUEZ – Smart & Environmental Solutions, Tour CB21, 16 place de l'Iris, 92040 La Défense, France
                                        
                                    Catherine Juery
                                            TotalEnergies – OneTech, Laboratoire Qualité de l'Air, 69360 Solaize, France
                                        
                                    Olivier Duclaux
                                            TotalEnergies – OneTech, Laboratoire Qualité de l'Air, 69360 Solaize, 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
8 citations as recorded by crossref.
- Characterizing the Effect of Simultaneous Enhancements of Reducing Gas Species on Figaro Taguchi Gas Sensor Resistance Response A. Shah et al. 10.1021/acsomega.4c06397
- 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. 10.5194/amt-17-4257-2024
- Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements A. Shah et al. 10.1039/D3EA00138E
- Characterising changes in the methane response of a semiconductor-based metal oxide sensor over time A. Shah et al. 10.1039/D5EA00046G
- Utilization of a Low-Cost Sensor Array for Mobile Methane Monitoring J. Silberstein et al. 10.3390/s24020519
- Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al. 10.5194/acp-25-4965-2025
- Synthesis and application of Fe/Mg/Cu-doped ZnO nanoparticles in humidity sensors and low-voltage varistors G. Taka & T. Das 10.1016/j.physb.2025.417228
- Characterising the methane gas and environmental response of the Figaro Taguchi Gas Sensor (TGS) 2611-E00 A. Shah et al. 10.5194/amt-16-3391-2023
8 citations as recorded by crossref.
- Characterizing the Effect of Simultaneous Enhancements of Reducing Gas Species on Figaro Taguchi Gas Sensor Resistance Response A. Shah et al. 10.1021/acsomega.4c06397
- 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. 10.5194/amt-17-4257-2024
- Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements A. Shah et al. 10.1039/D3EA00138E
- Characterising changes in the methane response of a semiconductor-based metal oxide sensor over time A. Shah et al. 10.1039/D5EA00046G
- Utilization of a Low-Cost Sensor Array for Mobile Methane Monitoring J. Silberstein et al. 10.3390/s24020519
- Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al. 10.5194/acp-25-4965-2025
- Synthesis and application of Fe/Mg/Cu-doped ZnO nanoparticles in humidity sensors and low-voltage varistors G. Taka & T. Das 10.1016/j.physb.2025.417228
- Characterising the methane gas and environmental response of the Figaro Taguchi Gas Sensor (TGS) 2611-E00 A. Shah et al. 10.5194/amt-16-3391-2023
Latest update: 30 Oct 2025
Short summary
            A network of low-cost sensors is a good alternative to improve the detection of fugitive CH4 emissions. We present the results of four tests conducted with two types of Figaro sensors that were assembled on four chambers in a laboratory experiment: a comparison of five models to reconstruct the CH4 signal, a strategy to reduce the training set size, a detection of age effects in the sensors and a test of the capability to transfer a model between chambers for the same type of sensor.
            A network of low-cost sensors is a good alternative to improve the detection of fugitive CH4...
            
         
 
                             
                             
             
             
            