12 Dec 2023
 | 12 Dec 2023

Separating and Quantifying Facility-Level Methane Emissions with Overlapping Plumes for Spaceborne Methane Monitoring

Yiguo Pang, Longfei Tian, Denghui Hu, Shuang Gao, and Guohua Liu

Abstract. Quantifying facility-level methane emission rates using satellites with fine spatial resolution has recently gained significant attention. However, the existing quantification algorithms usually require the methane column plume from a single point source as input. Such approaches are challenged with overlapping plumes from multiple point sources. To address these challenges, a multi-objective heuristic optimization algorithm is introduced to perform parameter estimations for the 2D multisource Gaussian plume model, which serves as the basis for the separation method. In addition, to improve the separation performance on relatively weaker sources, we proposed a metric called local binary pattern metric (LBPM), which is only sensitive to the sign of the gradient as a minimization objective. To verify the proposed separation method, observation system simulation experiments (OSSE) of various scenarios are performed, where the integrated mass enhancement (IME) is selected as a representative single-source quantization method. The result shows that plume overlapping will increase the quantifying error of IME as overlapping pixels may not be attributed correctly; compared to unseparated overlapping plumes, the proposed separation method decreases the quantification MAPE from 1.46 to 0.45 on synthetic observation over real targets. Our separation method can separate observation of overlapping plumes from multiple sources into several observations each with a plume from a single source, thereby extending single point source quantifying algorithms, such as IME, to be applicable within scenarios of multiple point sources.

Yiguo Pang, Longfei Tian, Denghui Hu, Shuang Gao, and Guohua Liu

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1693', Anonymous Referee #2, 03 Jan 2024
    • AC1: 'Reply on RC1', Yiguo Pang, 24 Feb 2024
  • RC2: 'Comment on egusphere-2023-1693', Anonymous Referee #1, 19 Jan 2024
    • AC2: 'Reply on RC2', Yiguo Pang, 25 Feb 2024
Yiguo Pang, Longfei Tian, Denghui Hu, Shuang Gao, and Guohua Liu
Yiguo Pang, Longfei Tian, Denghui Hu, Shuang Gao, and Guohua Liu


Total article views: 302 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
200 86 16 302 6 7
  • HTML: 200
  • PDF: 86
  • XML: 16
  • Total: 302
  • BibTeX: 6
  • EndNote: 7
Views and downloads (calculated since 12 Dec 2023)
Cumulative views and downloads (calculated since 12 Dec 2023)

Viewed (geographical distribution)

Total article views: 326 (including HTML, PDF, and XML) Thereof 326 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 26 Feb 2024
Short summary
The spatial adjacency of methane point sources can result in plume overlapping, presenting challenges for the quantification from space. A modern parameter estimation technique is introduced to separate the overlapping plumes from satellite observations. This separation method allows traditional quantification methods to be applied beyond scenarios with a single source. A new optimization metric is also proposed for better separation of relatively weaker sources.