Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring
<p>Quantifying facility-level methane emission rates using satellites with fine spatial resolution has recently gained significant attention. However, the prevailing quantification algorithms usually require the methane column plume from a solitary point source as input. Such approaches are ch...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
|
| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/18/455/2025/amt-18-455-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585050158268416 |
|---|---|
| author | Y. Pang Y. Pang L. Tian D. Hu S. Gao G. Liu G. Liu |
| author_facet | Y. Pang Y. Pang L. Tian D. Hu S. Gao G. Liu G. Liu |
| author_sort | Y. Pang |
| collection | DOAJ |
| description | <p>Quantifying facility-level methane emission rates using satellites with fine spatial resolution has recently gained significant attention. However, the prevailing quantification algorithms usually require the methane column plume from a solitary point source as input. Such approaches are challenged with overlapping plumes from multiple point sources. To address these challenges, we propose a separation approach based on a heuristic optimization and the multi-source Gaussian plume model to separate the overlapping plumes. Subsequently, the integrated mass enhancement (IME) model is applied to accurately quantify emission rates. To validate the proposed method, observation system simulation experiments (OSSEs) of various scenarios are performed. The result shows that plume overlapping exacerbates the quantifying error of the IME method when applied without such a separation approach, where the quantification mean absolute percentage error (MAPE) increased from 0.15 to 0.83, and it is affected by factors such as source intervals, wind direction, and interference emission rates. By contrast, the application of the proposed separation method together with the IME quantification approach mitigates this interference, reducing the quantification MAPE from 0.83 to 0.38. Moreover, the proposed method also outperforms the direct use of multi-source Gaussian plume fitting for the quantification, with a MAPE of 0.45. Our separation method separates overlapping plumes from multiple sources into distinct, single-source observations, enabling the IME algorithm – a high-precision quantification approach for fine-spatial-resolution plume images – to handle multi-source scenarios effectively. This method can help future spaceborne carbon inventory activities for spatially clustering carbon-emitting facilities.</p> |
| format | Article |
| id | doaj-art-1d8048ed402d4091bd17ee78e9e35518 |
| institution | Kabale University |
| issn | 1867-1381 1867-8548 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj-art-1d8048ed402d4091bd17ee78e9e355182025-01-27T06:10:08ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482025-01-011845547010.5194/amt-18-455-2025Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoringY. Pang0Y. Pang1L. Tian2D. Hu3S. Gao4G. Liu5G. Liu6Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaInnovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, ChinaInnovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, ChinaInnovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, ChinaInnovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, ChinaUniversity of Chinese Academy of Sciences, Beijing, China<p>Quantifying facility-level methane emission rates using satellites with fine spatial resolution has recently gained significant attention. However, the prevailing quantification algorithms usually require the methane column plume from a solitary point source as input. Such approaches are challenged with overlapping plumes from multiple point sources. To address these challenges, we propose a separation approach based on a heuristic optimization and the multi-source Gaussian plume model to separate the overlapping plumes. Subsequently, the integrated mass enhancement (IME) model is applied to accurately quantify emission rates. To validate the proposed method, observation system simulation experiments (OSSEs) of various scenarios are performed. The result shows that plume overlapping exacerbates the quantifying error of the IME method when applied without such a separation approach, where the quantification mean absolute percentage error (MAPE) increased from 0.15 to 0.83, and it is affected by factors such as source intervals, wind direction, and interference emission rates. By contrast, the application of the proposed separation method together with the IME quantification approach mitigates this interference, reducing the quantification MAPE from 0.83 to 0.38. Moreover, the proposed method also outperforms the direct use of multi-source Gaussian plume fitting for the quantification, with a MAPE of 0.45. Our separation method separates overlapping plumes from multiple sources into distinct, single-source observations, enabling the IME algorithm – a high-precision quantification approach for fine-spatial-resolution plume images – to handle multi-source scenarios effectively. This method can help future spaceborne carbon inventory activities for spatially clustering carbon-emitting facilities.</p>https://amt.copernicus.org/articles/18/455/2025/amt-18-455-2025.pdf |
| spellingShingle | Y. Pang Y. Pang L. Tian D. Hu S. Gao G. Liu G. Liu Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring Atmospheric Measurement Techniques |
| title | Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring |
| title_full | Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring |
| title_fullStr | Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring |
| title_full_unstemmed | Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring |
| title_short | Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring |
| title_sort | separating and quantifying facility level methane emissions with overlapping plumes for spaceborne methane monitoring |
| url | https://amt.copernicus.org/articles/18/455/2025/amt-18-455-2025.pdf |
| work_keys_str_mv | AT ypang separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring AT ypang separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring AT ltian separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring AT dhu separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring AT sgao separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring AT gliu separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring AT gliu separatingandquantifyingfacilitylevelmethaneemissionswithoverlappingplumesforspacebornemethanemonitoring |