Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5051-2023
https://doi.org/10.5194/amt-16-5051-2023
Research article
 | 
01 Nov 2023
Research article |  | 01 Nov 2023

Intercomparison of detection and quantification methods for methane emissions from the natural gas distribution network in Hamburg, Germany

Hossein Maazallahi, Antonio Delre, Charlotte Scheutz, Anders M. Fredenslund, Stefan Schwietzke, Hugo Denier van der Gon, and Thomas Röckmann

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-134', Anonymous Referee #1, 17 May 2022
  • CC1: 'Comment on amt-2022-134', Luise Westphal, 13 Jun 2022
  • RC2: 'Comment on amt-2022-134', Anonymous Referee #2, 07 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Hossein Maazallahi on behalf of the Authors (18 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Jan 2023) by Linlu Mei
RR by Anonymous Referee #1 (12 Jan 2023)
RR by Anonymous Referee #3 (23 Jan 2023)
RR by Anonymous Referee #4 (04 May 2023)
RR by Anonymous Referee #5 (12 Jun 2023)
ED: Publish subject to minor revisions (review by editor) (20 Jun 2023) by Linlu Mei
AR by Hossein Maazallahi on behalf of the Authors (18 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Aug 2023) by Linlu Mei
AR by Hossein Maazallahi on behalf of the Authors (08 Aug 2023)
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Short summary
Measurement methods are increasingly deployed to verify reported methane emissions of gas leaks. This study describes unique advantages and limitations of three methods. Two methods are rapidly deployed, but uncertainties and biases exist for some leak locations. In contrast, the suction method could accurately determine leak rates in principle. However, this method, which provides data for the German emission inventory, creates an overall low bias in our study due to non-random site selection.