Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8931-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-8931-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jul 2019
Research article |
| 12 Jul 2019
| 12 Jul 2019
Assessing London CO2, CH4 and CO emissions using aircraft measurements and dispersion modelling
Joseph R. Pitt
CORRESPONDING AUTHOR
School of Earth and Environmental Sciences, University of Manchester,
Oxford Road, Manchester, M13 9PL, UK
Grant Allen
School of Earth and Environmental Sciences, University of Manchester,
Oxford Road, Manchester, M13 9PL, UK
Stéphane J.-B. Bauguitte
Facility for Airborne Atmospheric Measurements (FAAM), Cranfield
University, Cranfield, MK43 0AL, UK
Martin W. Gallagher
School of Earth and Environmental Sciences, University of Manchester,
Oxford Road, Manchester, M13 9PL, UK
James D. Lee
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry,
University of York, Heslington, York YO10 5DD, UK
Will Drysdale
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry,
University of York, Heslington, York YO10 5DD, UK
Beth Nelson
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry,
University of York, Heslington, York YO10 5DD, UK
Alistair J. Manning
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Paul I. Palmer
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
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- Facility level measurement of offshore oil and gas installations from a medium-sized airborne platform: method development for quantification and source identification of methane emissions J. France et al. 10.5194/amt-14-71-2021
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- 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
- Megacity and local contributions to regional air pollution: an aircraft case study over London K. Ashworth et al. 10.5194/acp-20-7193-2020
- Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
- Aircraft-based mass balance estimate of methane emissions from offshore gas facilities in the southern North Sea M. Pühl et al. 10.5194/acp-24-1005-2024
- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al. 10.1016/j.aeaoa.2021.100135
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- Spatial attribution of aircraft mass balance experiment CO2 estimations for policy-relevant boundaries: New York City J. Tomlin et al. 10.1525/elementa.2023.00046
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
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- Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020) M. Lunt et al. 10.5194/acp-21-16257-2021
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Airborne quantification of net methane and carbon dioxide fluxes from European Arctic wetlands in Summer 2019 P. Barker et al. 10.1098/rsta.2021.0192
- Continuous CH<sub>4</sub> and <i>δ</i><sup>13</sup>CH<sub>4</sub> measurements in London demonstrate under-reported natural gas leakage E. Saboya et al. 10.5194/acp-22-3595-2022
- Flaring efficiencies and NOx emission ratios measured for offshore oil and gas facilities in the North Sea J. Shaw et al. 10.5194/acp-23-1491-2023
- Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
- Quantifying CO<sub>2</sub> emissions of a city with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring satellite mission G. Kuhlmann et al. 10.5194/amt-13-6733-2020
- Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling J. Kostinek et al. 10.5194/acp-21-8791-2021
- Assessment of urban CO2 budget: Anthropogenic and biogenic inputs Y. Bezyk et al. 10.1016/j.uclim.2021.100949
- A spatially explicit inventory scaling approach to estimate urban CO2 emissions K. Hajny et al. 10.1525/elementa.2021.00121
27 citations as recorded by crossref.
- Study of spatiotemporal variation and annual emission of CH4 in Shaoxing Yangtze River Delta, China, Using a portable CH4 detector on the UAV X. Pang et al. 10.1016/j.jes.2024.03.045
- Spatially and temporally resolved measurements of NO<sub><i>x</i></sub> fluxes by airborne eddy covariance over Greater London A. Vaughan et al. 10.5194/acp-21-15283-2021
- 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
- Facility level measurement of offshore oil and gas installations from a medium-sized airborne platform: method development for quantification and source identification of methane emissions J. France et al. 10.5194/amt-14-71-2021
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Quantification and assessment of methane emissions from offshore oil and gas facilities on the Norwegian continental shelf A. Foulds et al. 10.5194/acp-22-4303-2022
- Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017 M. Andrés Hernández et al. 10.5194/acp-22-5877-2022
- 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
- Megacity and local contributions to regional air pollution: an aircraft case study over London K. Ashworth et al. 10.5194/acp-20-7193-2020
- Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
- Aircraft-based mass balance estimate of methane emissions from offshore gas facilities in the southern North Sea M. Pühl et al. 10.5194/acp-24-1005-2024
- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al. 10.1016/j.aeaoa.2021.100135
- Tropospheric Ozone Assessment Report A. Archibald et al. 10.1525/elementa.2020.034
- Improvements of a low-cost CO2 commercial nondispersive near-infrared (NDIR) sensor for unmanned aerial vehicle (UAV) atmospheric mapping applications Y. Liu et al. 10.5194/amt-15-4431-2022
- Spatial attribution of aircraft mass balance experiment CO2 estimations for policy-relevant boundaries: New York City J. Tomlin et al. 10.1525/elementa.2023.00046
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
- Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
- Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020) M. Lunt et al. 10.5194/acp-21-16257-2021
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Airborne quantification of net methane and carbon dioxide fluxes from European Arctic wetlands in Summer 2019 P. Barker et al. 10.1098/rsta.2021.0192
- Continuous CH<sub>4</sub> and <i>δ</i><sup>13</sup>CH<sub>4</sub> measurements in London demonstrate under-reported natural gas leakage E. Saboya et al. 10.5194/acp-22-3595-2022
- Flaring efficiencies and NOx emission ratios measured for offshore oil and gas facilities in the North Sea J. Shaw et al. 10.5194/acp-23-1491-2023
- Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
- Quantifying CO<sub>2</sub> emissions of a city with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring satellite mission G. Kuhlmann et al. 10.5194/amt-13-6733-2020
- Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling J. Kostinek et al. 10.5194/acp-21-8791-2021
- Assessment of urban CO2 budget: Anthropogenic and biogenic inputs Y. Bezyk et al. 10.1016/j.uclim.2021.100949
1 citations as recorded by crossref.
Latest update: 25 Apr 2024
Short summary
This paper presents a new method to assess inventory estimates of greenhouse gas and air pollutant emissions for large cities and their surrounding regions. A case study using data sampled by a research aircraft around London was used to test the method. We found that the UK national inventory agrees with our observations for CO but needed lower emissions for CH4 to agree with the measured data. Repeated studies could help determine how these emissions vary on different timescales.
This paper presents a new method to assess inventory estimates of greenhouse gas and air...
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