Articles | Volume 13, issue 5
https://doi.org/10.5194/amt-13-2681-2020
© Author(s) 2020. 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-13-2681-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 May 2020
Research article |
| 27 May 2020
| 27 May 2020
Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska
ETH Zurich, Department of Environmental Systems Science, Institute of Agricultural Sciences, Universitätstrasse 2, 8092 Zurich, Switzerland
James Laundre
The Ecosystem Center, Marine Biology Laboratory, Woods Hole, MA 02543, USA
Jon Eugster
University of Zurich, Institute of Mathematics, Winterthurerstrasse 190, 8057 Zurich, Switzerland
now at: School of Mathematics, The University of Edinburgh, Edinburgh, UK
George W. Kling
University of Michigan, Department of Ecology & Evolutionary Biology, Ann Arbor, MI 48109-1085, USA
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Cited
21 citations as recorded by crossref.
- Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
- Hourly methane and carbon dioxide fluxes from temperate ponds J. Sø et al. 10.1007/s10533-024-01124-4
- 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
- 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
- Quantifying Methane Emission Rates Using Downwind Measurements S. Riddick 10.3390/encyclopedia5020057
- Calibration and field deployment of low-cost sensor network to monitor underground pipeline leakage Y. Cho et al. 10.1016/j.snb.2021.131276
- The River Runner: a low-cost sensor prototype for continuous dissolved greenhouse gas measurements M. Dalvai Ragnoli & G. Singer 10.5194/jsss-13-41-2024
- Design and evaluation of a low-cost sensor node for near-background methane measurement D. Furuta et al. 10.5194/amt-17-2103-2024
- 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
- The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH4 Variations around Background Concentration R. Rivera Martinez et al. 10.3390/atmos12010107
- Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors R. Rivera Martinez et al. 10.5194/amt-16-2209-2023
- Application of metal oxide semiconductor for detection of ammonia emissions from agricultural sources B. Molleman et al. 10.1016/j.sbsr.2022.100541
- 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
- Evaluation of the applicability of a metal oxide semiconductor gas sensor for methane emissions from agriculture B. Molleman et al. 10.1016/j.inpa.2023.11.001
- Technical note: Facilitating the use of low-cost methane (CH4) sensors in flux chambers – calibration, data processing, and an open-source make-it-yourself logger D. Bastviken et al. 10.5194/bg-17-3659-2020
- Assessment of the applicability of a low-cost sensor–based methane monitoring system for continuous multi-channel sampling I. Nagahage et al. 10.1007/s10661-021-09290-w
- Electronic Nose for Improved Environmental Methane Monitoring G. Domènech-Gil et al. 10.1021/acs.est.3c06945
- Decentralized governance and artificial intelligence policy with blockchain-based voting in federated learning C. Lee et al. 10.3389/frma.2023.1035123
- Addressing Low-Cost Methane Sensor Calibration Shortcomings with Machine Learning E. Kiplimo et al. 10.3390/atmos15111313
- Analysis of Cr/Au contact reliability in embedded poly-Si micro-heater for FET-type gas sensor J. Park et al. 10.1016/j.snb.2022.131673
- Continuous methane concentration measurements at the Greenland ice sheet–atmosphere interface using a low-cost, low-power metal oxide sensor system C. Jørgensen et al. 10.5194/amt-13-3319-2020
20 citations as recorded by crossref.
- Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
- Hourly methane and carbon dioxide fluxes from temperate ponds J. Sø et al. 10.1007/s10533-024-01124-4
- 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
- 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
- Quantifying Methane Emission Rates Using Downwind Measurements S. Riddick 10.3390/encyclopedia5020057
- Calibration and field deployment of low-cost sensor network to monitor underground pipeline leakage Y. Cho et al. 10.1016/j.snb.2021.131276
- The River Runner: a low-cost sensor prototype for continuous dissolved greenhouse gas measurements M. Dalvai Ragnoli & G. Singer 10.5194/jsss-13-41-2024
- Design and evaluation of a low-cost sensor node for near-background methane measurement D. Furuta et al. 10.5194/amt-17-2103-2024
- 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
- The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH4 Variations around Background Concentration R. Rivera Martinez et al. 10.3390/atmos12010107
- Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors R. Rivera Martinez et al. 10.5194/amt-16-2209-2023
- Application of metal oxide semiconductor for detection of ammonia emissions from agricultural sources B. Molleman et al. 10.1016/j.sbsr.2022.100541
- 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
- Evaluation of the applicability of a metal oxide semiconductor gas sensor for methane emissions from agriculture B. Molleman et al. 10.1016/j.inpa.2023.11.001
- Technical note: Facilitating the use of low-cost methane (CH4) sensors in flux chambers – calibration, data processing, and an open-source make-it-yourself logger D. Bastviken et al. 10.5194/bg-17-3659-2020
- Assessment of the applicability of a low-cost sensor–based methane monitoring system for continuous multi-channel sampling I. Nagahage et al. 10.1007/s10661-021-09290-w
- Electronic Nose for Improved Environmental Methane Monitoring G. Domènech-Gil et al. 10.1021/acs.est.3c06945
- Decentralized governance and artificial intelligence policy with blockchain-based voting in federated learning C. Lee et al. 10.3389/frma.2023.1035123
- Addressing Low-Cost Methane Sensor Calibration Shortcomings with Machine Learning E. Kiplimo et al. 10.3390/atmos15111313
- Analysis of Cr/Au contact reliability in embedded poly-Si micro-heater for FET-type gas sensor J. Park et al. 10.1016/j.snb.2022.131673
Latest update: 30 Aug 2025
Short summary
Measuring ambient methane concentrations requires expensive optical sensors. The first electrochemical analyzer that shows a response to ambient levels of methane is now available. We present the first long-term deployment of such sensors in an arctic environment (temperatures from −41 to 27 °C). We present a method based on these measurements to convert the signal to methane concentrations (corrected for the effects of air temperature and relative humidity) and ensure long-term stability.
Measuring ambient methane concentrations requires expensive optical sensors. The first...
