Articles | Volume 15, issue 7
https://doi.org/10.5194/amt-15-2177-2022
© Author(s) 2022. 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-15-2177-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Apr 2022
Research article |
| 11 Apr 2022
| 11 Apr 2022
Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources
Randulph Morales
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Institute for Materials Science and Technology, Empa, Dübendorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
Jonas Ravelid
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Institute for Materials Science and Technology, Empa, Dübendorf, Switzerland
Katarina Vinkovic
Centre for Isotope Research, University of Groningen, Groningen, the Netherlands
Piotr Korbeń
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Béla Tuzson
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Institute for Materials Science and Technology, Empa, Dübendorf, Switzerland
Lukas Emmenegger
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Institute for Materials Science and Technology, Empa, Dübendorf, Switzerland
Huilin Chen
Centre for Isotope Research, University of Groningen, Groningen, the Netherlands
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
Martina Schmidt
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Sebastian Humbel
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Institute for Materials Science and Technology, Empa, Dübendorf, Switzerland
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Institute for Materials Science and Technology, Empa, Dübendorf, Switzerland
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Cited
23 citations as recorded by crossref.
- High potential for CH4 emission mitigation from oil infrastructure in one of EU's major production regions F. Stavropoulou et al. 10.5194/acp-23-10399-2023
- Progress in monitoring methane emissions from landfills using drones: an overview of the last ten years D. Fosco et al. 10.1016/j.scitotenv.2024.173981
- Simulation evaluation of a single-photon laser methane remote sensor for leakage rate monitoring S. Zhu et al. 10.1364/OE.513894
- 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. 10.5194/amt-17-4471-2024
- 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
- A Study of the Wind Sensing Performance of Small Pusher and Puller Hexacopters J. González-Rocha et al. 10.2514/1.C036792
- UAV-based in situ measurements of CO2 and CH4 fluxes over complex natural ecosystems A. Bolek et al. 10.5194/amt-17-5619-2024
- Neural Network Based Aliasing Spectral Decoupling Algorithm for Precise Mid-Infrared Multicomponent Gases Sensing H. Xiong et al. 10.1021/acssensors.4c01514
- Validation and demonstration of a drone-based method for quantifying fugitive methane emissions C. Scheutz et al. 10.1016/j.jenvman.2024.123467
- Integrating a UAV System Based on Pixhawk with a Laser Methane Mini Detector to Study Methane Emissions T. Filkin et al. 10.3390/drones7100625
- Concepts for drone based pipeline leak detection L. Bretschneider et al. 10.3389/frobt.2024.1426206
- Short-term noise annoyance towards drones and other transportation noise sources: A laboratory study C. Kawai et al. 10.1121/10.0032386
- State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis D. Marin et al. 10.3390/s23208384
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- Lessons learned from a UAV survey and methane emissions calculation at a UK landfill H. Yong et al. 10.1016/j.wasman.2024.03.025
- Detection of Methane Leaks via a Drone-Based System for Sustainable Landfills and Oil and Gas Facilities: Effect of Different Variables on the Background-Noise Measurement G. Tassielli et al. 10.3390/su16177748
- Development of a continuous UAV-mounted air sampler and application to the quantification of CO2 and CH4 emissions from a major coking plant T. Han et al. 10.5194/amt-17-677-2024
- Methodology and Uncertainty Analysis of Methane Flux Measurement for Small Sources Based on Unmanned Aerial Vehicles D. Xu et al. 10.3390/drones8080366
- Stationary and drone-assisted methane plume localization with dispersion spectroscopy M. Soskind et al. 10.1016/j.rse.2023.113513
- Controlled-release testing of the static chamber methodology for direct measurements of methane emissions J. Williams et al. 10.5194/amt-16-3421-2023
- Assessment of current methane emission quantification techniques for natural gas midstream applications Y. Liu et al. 10.5194/amt-17-1633-2024
- Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
- Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources R. Morales et al. 10.5194/amt-15-2177-2022
22 citations as recorded by crossref.
- High potential for CH4 emission mitigation from oil infrastructure in one of EU's major production regions F. Stavropoulou et al. 10.5194/acp-23-10399-2023
- Progress in monitoring methane emissions from landfills using drones: an overview of the last ten years D. Fosco et al. 10.1016/j.scitotenv.2024.173981
- Simulation evaluation of a single-photon laser methane remote sensor for leakage rate monitoring S. Zhu et al. 10.1364/OE.513894
- 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. 10.5194/amt-17-4471-2024
- 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
- A Study of the Wind Sensing Performance of Small Pusher and Puller Hexacopters J. González-Rocha et al. 10.2514/1.C036792
- UAV-based in situ measurements of CO2 and CH4 fluxes over complex natural ecosystems A. Bolek et al. 10.5194/amt-17-5619-2024
- Neural Network Based Aliasing Spectral Decoupling Algorithm for Precise Mid-Infrared Multicomponent Gases Sensing H. Xiong et al. 10.1021/acssensors.4c01514
- Validation and demonstration of a drone-based method for quantifying fugitive methane emissions C. Scheutz et al. 10.1016/j.jenvman.2024.123467
- Integrating a UAV System Based on Pixhawk with a Laser Methane Mini Detector to Study Methane Emissions T. Filkin et al. 10.3390/drones7100625
- Concepts for drone based pipeline leak detection L. Bretschneider et al. 10.3389/frobt.2024.1426206
- Short-term noise annoyance towards drones and other transportation noise sources: A laboratory study C. Kawai et al. 10.1121/10.0032386
- State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis D. Marin et al. 10.3390/s23208384
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- Lessons learned from a UAV survey and methane emissions calculation at a UK landfill H. Yong et al. 10.1016/j.wasman.2024.03.025
- Detection of Methane Leaks via a Drone-Based System for Sustainable Landfills and Oil and Gas Facilities: Effect of Different Variables on the Background-Noise Measurement G. Tassielli et al. 10.3390/su16177748
- Development of a continuous UAV-mounted air sampler and application to the quantification of CO2 and CH4 emissions from a major coking plant T. Han et al. 10.5194/amt-17-677-2024
- Methodology and Uncertainty Analysis of Methane Flux Measurement for Small Sources Based on Unmanned Aerial Vehicles D. Xu et al. 10.3390/drones8080366
- Stationary and drone-assisted methane plume localization with dispersion spectroscopy M. Soskind et al. 10.1016/j.rse.2023.113513
- Controlled-release testing of the static chamber methodology for direct measurements of methane emissions J. Williams et al. 10.5194/amt-16-3421-2023
- Assessment of current methane emission quantification techniques for natural gas midstream applications Y. Liu et al. 10.5194/amt-17-1633-2024
- Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
Latest update: 26 Dec 2024
Short summary
Mapping trace gas emission plumes using in situ measurements from unmanned aerial vehicles (UAVs) is an emerging and attractive possibility to quantify emissions from localized sources. We performed an extensive controlled-release experiment to develop an optimal quantification method and to determine the related uncertainties under various environmental and sampling conditions. Our approach was successful in quantifying local methane sources from drone-based measurements.
Mapping trace gas emission plumes using in situ measurements from unmanned aerial vehicles...
