Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5091-2024
https://doi.org/10.5194/amt-17-5091-2024
Research article
 | 
04 Sep 2024
Research article |  | 04 Sep 2024

A new aerial approach for quantifying and attributing methane emissions: implementation and validation

Jonathan F. Dooley, Kenneth Minschwaner, Manvendra K. Dubey, Sahar H. El Abbadi, Evan D. Sherwin, Aaron G. Meyer, Emily Follansbee, and James E. Lee

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Cited articles

Aeris Technologies Inc: MIRA Pico Mobile LDS Natural Gas Leak Detection System w/GPS, Aeris Technologies Inc, https://aerissensors.com/wp-content/uploads/2019/12/MIRA-PicoMobile-LDS_191208_FINAL_quartz.pdf (last access: 19 April 2024), 2019. a, b, c
Anemoment LLC: Trisonica Mini User Manual, Anemoment LLC, Device User Manual, https://licor.app.boxenterprise.net/s/guv31jiwg1chpm3xiunwyo0463b5uooj, 2021. a, b, c, d
Barbieri, L., Kral, S., Bailey, S., Frazier, A., Jacob, J., Reuder, J., Brus, D., Chilson, P., Crick, C., Detweiler, C., Doddi, A., Elston, J., Foroutan, H., González-Rocha, J., Greene, B., Guzman, M., Houston, A., Islam, A., Kemppinen, O., Lawrence, D., Pillar-Little, E., Ross, S., Sama, M., Schmale, D., Schuyler, T., Shankar, A., Smith, S., Waugh, S., Dixon, C., Borenstein, S., and De Boer, G.: Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign, Sensors, 19, 2179, https://doi.org/10.3390/s19092179, 2019. a
Barchyn, T. E., Hugenholtz, C. H., and Fox, T. A.: Plume detection modeling of a drone-based natural gas leak detection system, Elementa: Science of the Anthropocene, 7, 41, https://doi.org/10.1525/elementa.379, 2019. a, b
Bel Hadj Ali, N., Abichou, T., and Green, R.: Comparing estimates of fugitive landfill methane emissions using inverse plume modeling obtained with Surface Emission Monitoring (SEM), Drone Emission Monitoring (DEM), and Downwind Plume Emission Monitoring (DWPEM), J. Air Waste Manage., 70, 410–424, https://doi.org/10.1080/10962247.2020.1728423, 2020. a
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Short summary
Methane is a powerful greenhouse gas originating from both natural and human activities. We describe a new uncrewed aerial system (UAS) designed to measure methane emission rates over a wide range of scales. This system has been used for direct quantification of point sources and distributed emitters over scales of up to 1 km. The system uses simultaneous measurements of methane and ethane to distinguish between different kinds of natural and human-related emission sources.
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