Articles | Volume 17, issue 12
https://doi.org/10.5194/acp-17-7839-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-7839-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jun 2017
Research article |
| 29 Jun 2017
Estimating the size of a methane emission point source at different scales: from local to landscape
Stuart N. Riddick
CORRESPONDING AUTHOR
Centre for Atmospheric Science, University of Cambridge, Cambridge
CB2 1EZ, UK
now at: Department of Civil and Environmental Engineering,
Princeton University, Princeton, 08544, USA
Sarah Connors
Centre for Atmospheric Science, University of Cambridge, Cambridge
CB2 1EZ, UK
Andrew D. Robinson
Centre for Atmospheric Science, University of Cambridge, Cambridge
CB2 1EZ, UK
Alistair J. Manning
Met Office, Exeter EX1 3PB, UK
Pippa S. D. Jones
Centre for Atmospheric Science, University of Cambridge, Cambridge
CB2 1EZ, UK
David Lowry
Department of Earth Sciences, Royal Holloway, University of London,
Egham TW20 0EX, UK
Euan Nisbet
Department of Earth Sciences, Royal Holloway, University of London,
Egham TW20 0EX, UK
Robert L. Skelton
Department of Chemical Engineering, University of Cambridge,
Cambridge CB2 3RA, UK
Grant Allen
Centre for Atmospheric Science, University of Manchester,
Manchester M13 9PL, UK
Joseph Pitt
Centre for Atmospheric Science, University of Manchester,
Manchester M13 9PL, UK
Neil R. P. Harris
CORRESPONDING AUTHOR
Centre for Atmospheric Informatics and Emissions Technology,
Cranfield University, Cranfield MK43 0AL, UK
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Cited
22 citations as recorded by crossref.
- Estimating Regional Methane Emission Factors from Energy and Agricultural Sector Sources Using a Portable Measurement System: Case Study of the Denver–Julesburg Basin S. Riddick et al. 10.3390/s22197410
- Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment L. Cartwright et al. 10.5194/amt-12-4659-2019
- Methane flux from flowback operations at a shale gas site J. Shaw et al. 10.1080/10962247.2020.1811800
- Methodologies for measuring fugitive methane emissions from landfills – A review J. Mønster et al. 10.1016/j.wasman.2018.12.047
- A quantitative comparison of methods used to measure smaller methane emissions typically observed from superannuated oil and gas infrastructure S. Riddick et al. 10.5194/amt-15-6285-2022
- Comparisons of forward-in-time and backward-in-time Lagrangian stochastic dispersion models for micro-scale atmospheric dispersion S. Li & K. Du 10.1080/10962247.2020.1728424
- Quantifying non-steady state natural gas leakage from the pipelines using an innovative sensor network and model for subsurface emissions - InSENSE J. Lo et al. 10.1016/j.envpol.2023.122810
- The calibration and deployment of a low-cost methane sensor S. Riddick et al. 10.1016/j.atmosenv.2020.117440
- Likely substantial underestimation of reported methane emissions from United Kingdom upstream oil and gas activities S. Riddick & D. Mauzerall 10.1039/D2EE03072A
- Methane emissions from oil and gas platforms in the North Sea S. Riddick et al. 10.5194/acp-19-9787-2019
- Potential Underestimate in Reported Bottom-up Methane Emissions from Oil and Gas Operations in the Delaware Basin S. Riddick et al. 10.3390/atmos15020202
- Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. 10.5194/acp-19-3043-2019
- Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al. 10.5194/amt-13-2697-2020
- A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
- Estimating methane emissions from the waste sector in southern ontario using atmospheric measurements L. Gillespie et al. 10.1080/10962247.2024.2435340
- Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
- Emulation of greenhouse‐gas sensitivities using variational autoencoders L. Cartwright et al. 10.1002/env.2754
- Variability observed over time in methane emissions from abandoned oil and gas wells S. Riddick et al. 10.1016/j.ijggc.2020.103116
- 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
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Field investigation of temporal variation and diffusion of hydrogen sulfide on waste working face and intermediate landfill cover H. Xie et al. 10.1016/j.wasman.2023.06.026
22 citations as recorded by crossref.
- Estimating Regional Methane Emission Factors from Energy and Agricultural Sector Sources Using a Portable Measurement System: Case Study of the Denver–Julesburg Basin S. Riddick et al. 10.3390/s22197410
- Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment L. Cartwright et al. 10.5194/amt-12-4659-2019
- Methane flux from flowback operations at a shale gas site J. Shaw et al. 10.1080/10962247.2020.1811800
- Methodologies for measuring fugitive methane emissions from landfills – A review J. Mønster et al. 10.1016/j.wasman.2018.12.047
- A quantitative comparison of methods used to measure smaller methane emissions typically observed from superannuated oil and gas infrastructure S. Riddick et al. 10.5194/amt-15-6285-2022
- Comparisons of forward-in-time and backward-in-time Lagrangian stochastic dispersion models for micro-scale atmospheric dispersion S. Li & K. Du 10.1080/10962247.2020.1728424
- Quantifying non-steady state natural gas leakage from the pipelines using an innovative sensor network and model for subsurface emissions - InSENSE J. Lo et al. 10.1016/j.envpol.2023.122810
- The calibration and deployment of a low-cost methane sensor S. Riddick et al. 10.1016/j.atmosenv.2020.117440
- Likely substantial underestimation of reported methane emissions from United Kingdom upstream oil and gas activities S. Riddick & D. Mauzerall 10.1039/D2EE03072A
- Methane emissions from oil and gas platforms in the North Sea S. Riddick et al. 10.5194/acp-19-9787-2019
- Potential Underestimate in Reported Bottom-up Methane Emissions from Oil and Gas Operations in the Delaware Basin S. Riddick et al. 10.3390/atmos15020202
- Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. 10.5194/acp-19-3043-2019
- Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al. 10.5194/amt-13-2697-2020
- A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
- Estimating methane emissions from the waste sector in southern ontario using atmospheric measurements L. Gillespie et al. 10.1080/10962247.2024.2435340
- Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
- Emulation of greenhouse‐gas sensitivities using variational autoencoders L. Cartwright et al. 10.1002/env.2754
- Variability observed over time in methane emissions from abandoned oil and gas wells S. Riddick et al. 10.1016/j.ijggc.2020.103116
- 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
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Field investigation of temporal variation and diffusion of hydrogen sulfide on waste working face and intermediate landfill cover H. Xie et al. 10.1016/j.wasman.2023.06.026
Latest update: 25 Dec 2024
Short summary
High methane mixing ratios occurred at our long-term measurement site. Isotopic measurements show the source is a landfill 7 km away; the emissions were estimated using three different approaches. The emission estimates made by near-source and middle-distance methods agree well for a period of intense observation. The estimate of the inverse modelling is similar to the labour-intensive middle-distance approach, which shows it can be used to identify point sources within an emission landscape.
High methane mixing ratios occurred at our long-term measurement site. Isotopic measurements...
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