Articles | Volume 11, issue 6
https://doi.org/10.5194/amt-11-3569-2018
© Author(s) 2018. 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-11-3569-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jun 2018
Research article |
| 20 Jun 2018
| 20 Jun 2018
Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments
Ashley Collier-Oxandale
CORRESPONDING AUTHOR
Department of Environmental Engineering, University of Colorado
Boulder, Boulder, CO 80309, USA
Joanna Gordon Casey
Department of Mechanical Engineering, University of Colorado
Boulder, Boulder, CO 80309, USA
Ricardo Piedrahita
Berkeley Air Monitoring Group, Boulder, CO 80302, USA
John Ortega
National Center for Atmospheric Research, Boulder, CO 80301, USA
Hannah Halliday
NASA Langley Research Center, Hampton, VA 23666, USA
Jill Johnston
Department of Preventive Medicine, University of Southern
California, Los Angeles, CA 90089, USA
Michael P. Hannigan
Department of Mechanical Engineering, University of Colorado
Boulder, Boulder, CO 80309, USA
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- Flame-Made La2O3-Based Nanocomposite CO2 Sensors as Perspective Part of GHG Monitoring System M. Andreev et al. 10.3390/s21217297
- 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
- Characterizing methane and total non-methane hydrocarbon levels in Los Angeles communities with oil and gas facilities using air quality monitors K. Okorn et al. 10.1016/j.scitotenv.2021.146194
- 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
- Methane Advances: Trends and Summary from Selected Studies S. Akpasi et al. 10.3390/methane3020016
- Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of CO2 and CH4 in air R. Biagi et al. 10.1016/j.heliyon.2024.e29772
- 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. 10.1016/j.jclepro.2023.137693
- The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods X. Qin et al. 10.1016/j.scitotenv.2020.136791
- Using gas-phase air quality sensors to disentangle potential sources in a Los Angeles neighborhood A. Collier-Oxandale et al. 10.1016/j.atmosenv.2020.117519
- Calibration of a Low-Cost Methane Sensor Using Machine Learning H. Mitchell et al. 10.3390/s24041066
- Characterization of inexpensive metal oxide sensor performance for trace methane detection D. Furuta et al. 10.5194/amt-15-5117-2022
- 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
- Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. 10.3390/atmos13111789
- Quantile regression with a metal oxide sensors array for methane prediction over a municipal solid waste treatment plant E. Taguem et al. 10.1016/j.snb.2021.129590
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Understanding the ability of low-cost MOx sensors to quantify ambient VOCs A. Collier-Oxandale et al. 10.5194/amt-12-1441-2019
- Development of a low-cost UAV-based system for CH4monitoring over oil fields S. Liu et al. 10.1080/09593330.2020.1724199
- 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
- Design and evaluation of a low-cost sensor node for near-background methane measurement D. Furuta et al. 10.5194/amt-17-2103-2024
- Laboratory and field evaluation of a low-cost methane sensor and key environmental factors for sensor calibration J. Lin et al. 10.1039/D2EA00100D
- 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
- Hazardous Air Pollutants Associated with Upstream Oil and Natural Gas Development: A Critical Synthesis of Current Peer-Reviewed Literature D. Garcia-Gonzales et al. 10.1146/annurev-publhealth-040218-043715
- Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska W. Eugster et al. 10.5194/amt-13-2681-2020
- Methane (CH4) Detection System Using The TGS2611 Sensor and MQ-4 Sensor M. Ainur Rahma et al. 10.1088/1742-6596/2780/1/012034
- Exposure monitoring toward environmental justice L. Racz & W. Rish 10.1002/ieam.4534
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- Utilization of a Low-Cost Sensor Array for Mobile Methane Monitoring J. Silberstein et al. 10.3390/s24020519
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- 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
- Design and Evaluation of a Reliable Low-Cost Atmospheric Pollution Station in Urban Environment G. Astudillo et al. 10.1109/ACCESS.2020.2980736
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Discussed (preprint)
Latest update: 04 Nov 2024
Short summary
Low-cost air quality sensors and air quality sensor systems have the potential to open up new ways of measuring pollutants. In this paper, we explored ways to use low-cost sensors (approximately USD 10 per sensor) to estimate methane – a pollutant important for its contributions to climate change. We found that while these sensors will likely never replace traditional air quality monitoring methods, they can provide useful supplementary information on local pollution sources and regional trends.
Low-cost air quality sensors and air quality sensor systems have the potential to open up new...
