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High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China
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 concent...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679808/ https://www.ncbi.nlm.nih.gov/pubmed/38025773 http://dx.doi.org/10.1016/j.isci.2023.108375 |
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author | Peng, Shushi Giron, Clément Liu, Gang d’Aspremont, Alexandre Benoit, Antoine Lauvaux, Thomas Lin, Xin de Almeida Rodrigues, Hugo Saunois, Marielle Ciais, Philippe |
author_facet | Peng, Shushi Giron, Clément Liu, Gang d’Aspremont, Alexandre Benoit, Antoine Lauvaux, Thomas Lin, Xin de Almeida Rodrigues, Hugo Saunois, Marielle Ciais, Philippe |
author_sort | Peng, Shushi |
collection | PubMed |
description | 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 CH(4) 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. |
format | Online Article Text |
id | pubmed-10679808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106798082023-11-02 High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China Peng, Shushi Giron, Clément Liu, Gang d’Aspremont, Alexandre Benoit, Antoine Lauvaux, Thomas Lin, Xin de Almeida Rodrigues, Hugo Saunois, Marielle Ciais, Philippe iScience Article 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 CH(4) 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. Elsevier 2023-11-02 /pmc/articles/PMC10679808/ /pubmed/38025773 http://dx.doi.org/10.1016/j.isci.2023.108375 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Peng, Shushi Giron, Clément Liu, Gang d’Aspremont, Alexandre Benoit, Antoine Lauvaux, Thomas Lin, Xin de Almeida Rodrigues, Hugo Saunois, Marielle Ciais, Philippe High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679808/ https://www.ncbi.nlm.nih.gov/pubmed/38025773 http://dx.doi.org/10.1016/j.isci.2023.108375 |
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