High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China
Summary: Accurate assessment of coal mine methane (CMM) emissions is a prerequisite for defining baselines and assessing the effectiveness of mitigation measures. Such an endeavor is jeopardized, however, by large uncertainties in current CMM estimates. Here, we assimilated atmospheric methane colum...
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Elsevier
2023-12-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223024525 |
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author | Shushi Peng Clément Giron Gang Liu Alexandre d’Aspremont Antoine Benoit Thomas Lauvaux Xin Lin Hugo de Almeida Rodrigues Marielle Saunois Philippe Ciais |
author_facet | Shushi Peng Clément Giron Gang Liu Alexandre d’Aspremont Antoine Benoit Thomas Lauvaux Xin Lin Hugo de Almeida Rodrigues Marielle Saunois Philippe Ciais |
author_sort | Shushi Peng |
collection | DOAJ |
description | Summary: Accurate assessment of coal mine methane (CMM) emissions is a prerequisite for defining baselines and assessing the effectiveness of mitigation measures. Such an endeavor is jeopardized, however, by large uncertainties in current CMM estimates. Here, we assimilated atmospheric methane column concentrations observed by the TROPOMI space borne instrument in a high-resolution regional inversion to estimate CMM emissions in Shanxi, a province representing 15% of the global coal production. The emissions are estimated to be 8.5 ± 0.6 and 8.6 ± 0.6 Tg CH4 yr−1 in 2019 and 2020, respectively, close to upper bound of current bottom-up estimates. Data from more than a thousand of individual mines indicate that our estimated emission factors increase significantly with coal mining depth at prefecture level, suggesting that ongoing deeper mining will increase CMM emission intensity. Our results show robustness of estimating CMM emissions utilizing TROPOMI images and highlight potential of monitoring methane leakages and emissions from satellites. |
first_indexed | 2024-03-08T22:45:14Z |
format | Article |
id | doaj.art-6ae8580c55e64d06aa5b71ca6db1bb19 |
institution | Directory Open Access Journal |
issn | 2589-0042 |
language | English |
last_indexed | 2024-03-08T22:45:14Z |
publishDate | 2023-12-01 |
publisher | Elsevier |
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series | iScience |
spelling | doaj.art-6ae8580c55e64d06aa5b71ca6db1bb192023-12-17T06:40:32ZengElsevieriScience2589-00422023-12-012612108375High-resolution assessment of coal mining methane emissions by satellite in Shanxi, ChinaShushi Peng0Clément Giron1Gang Liu2Alexandre d’Aspremont3Antoine Benoit4Thomas Lauvaux5Xin Lin6Hugo de Almeida Rodrigues7Marielle Saunois8Philippe Ciais9Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing, China; Corresponding authorKayrros, 33 rue Lafayette, 75009 Paris, FranceSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing, ChinaKayrros, 33 rue Lafayette, 75009 Paris, France; CNRS & DI, Ecole Normale Supérieure, Paris, FranceKayrros, 33 rue Lafayette, 75009 Paris, FranceLaboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, FranceKayrros, 33 rue Lafayette, 75009 Paris, FranceLaboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France; The Cyprus Institute, 20 Konstantinou Kavafi Street, 2121 Nicosia, CyprusSummary: Accurate assessment of coal mine methane (CMM) emissions is a prerequisite for defining baselines and assessing the effectiveness of mitigation measures. Such an endeavor is jeopardized, however, by large uncertainties in current CMM estimates. Here, we assimilated atmospheric methane column concentrations observed by the TROPOMI space borne instrument in a high-resolution regional inversion to estimate CMM emissions in Shanxi, a province representing 15% of the global coal production. The emissions are estimated to be 8.5 ± 0.6 and 8.6 ± 0.6 Tg CH4 yr−1 in 2019 and 2020, respectively, close to upper bound of current bottom-up estimates. Data from more than a thousand of individual mines indicate that our estimated emission factors increase significantly with coal mining depth at prefecture level, suggesting that ongoing deeper mining will increase CMM emission intensity. Our results show robustness of estimating CMM emissions utilizing TROPOMI images and highlight potential of monitoring methane leakages and emissions from satellites.http://www.sciencedirect.com/science/article/pii/S2589004223024525Atmospheric scienceAtmospheric chemistryAtmospheric observation |
spellingShingle | Shushi Peng Clément Giron Gang Liu Alexandre d’Aspremont Antoine Benoit Thomas Lauvaux Xin Lin Hugo de Almeida Rodrigues Marielle Saunois Philippe Ciais High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China iScience Atmospheric science Atmospheric chemistry Atmospheric observation |
title | High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China |
title_full | High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China |
title_fullStr | High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China |
title_full_unstemmed | High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China |
title_short | High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China |
title_sort | high resolution assessment of coal mining methane emissions by satellite in shanxi china |
topic | Atmospheric science Atmospheric chemistry Atmospheric observation |
url | http://www.sciencedirect.com/science/article/pii/S2589004223024525 |
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