Bottom-Up Estimates of Coal Mine Methane Emissions in China: A Gridded Inventory, Emission Factors, and Trends
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acs.estlett.9b00294.pdf
Description
Published version
Size
4.3 MB
Format
Adobe PDF
Checksum (MD5)
743be4c2776c6d516372c818ac50e471
Author(s)
Sheng, Jianxiong
Song, Shaojie
Zhang, Yuzhong
Prinn, Ronald G
Janssens-Maenhout, Greet
Date Issued
May 2019
Journal
Environmental Science & Technology Letters
Publisher
American Chemical Society (ACS)
Citation
Sheng, Jianxiong et al. "Bottom-Up Estimates of Coal Mine Methane Emissions in China: A Gridded Inventory, Emission Factors, and Trends." Environmental Science & Technology Letters (May 2019): 473–478 © 2019 American Chemical Society
Version
Final published version
Abstract
China has large but uncertain coal mine methane (CMM) emissions. Inverse modeling (top-down) analyses of atmospheric methane observations can help improve the emission estimates but require reliable emission patterns as prior information. To serve this urgent need, we developed a high-resolution (0.25° × 0.25°) methane emission inventory for China's coal mining using a recent publicly available database of more than 10000 coal mines in China for 2011. This number of coal mines is 25 and 2.5 times, respectively, more than the number available in the EDGAR v4.2 and EDGAR v4.3.2 gridded global inventories, which have been extensively used in past inverse analyses. Our inventory shows large differences with the EDGAR v4.2 as well as its more recent version, EDGAR v4.3.2. Our results suggest that China's CMM emissions have been decreasing since 2012 on the basis of coal mining activities and assuming time-invariant emission factors but that regional trends differ greatly. Use of our inventory as prior information in future inverse modeling analyses can help better quantify CMM emissions as well as more confidently guide the future mitigation of coal to gas in China.
MIT Department
Massachusetts Institute of Technology. Global Languages
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1021/acs.estlett.9b00294
