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An Improved Approach to Estimate Methane Emissions from Coal Mining in China

机译:一种估计中国煤矿甲烷排放量的改进方法

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摘要

China, the largest coal producer in the world, is responsible for over 50% of the total global methane (CH_4) emissions from coal mining. However, the current emission inventory of CH4 from coal mining has large uncertainties because of the lack of localized emission factors (EFs). In this study, province-level CH4 EFs from coal mining in China were developed based on the data analysis of coal production and corresponding discharged CH4 emissions from 787 coal mines distributed in 25 provinces with different geological and operation conditions. Results show that the spatial distribution of CH_4 EFs is highly variable with values as high as 36 m3/t and as low as 0.74 m3/t. Based on newly developed CH_4 EFs and activity data, an inventory of the province-level CH4 emissions was built for 2005-2010. Results reveal that the total CH_4 emissions in China increased from 11.5 Tg in 2005 to 16.0 Tg in 2010. By constructing a gray forecasting model for CH_4 EFs and a regression model for activity, the province-level CH_4 emissions from coal mining in China are forecasted for the years of 2011—2020. The estimates are compared with other published inventories. Our results have a reasonable agreement with USEPA's inventory and are lower by a factor of 1-2 than those estimated using the IPCC default EFs. This study could help guide CH_4 mitigation policies and practices in China.
机译:中国是全球最大的煤炭生产国,占全球煤炭开采甲烷(CH_4)排放总量的50%以上。然而,由于缺乏局部排放因子(EFs),目前煤矿开采的CH4排放清单具有很大的不确定性。在本研究的基础上,通过对分布在25个具有不同地质和运营条件的省份的787座煤矿的煤炭产量和相应的CH4排放量进行数据分析,得出了中国省级CH4 EFs。结果表明,CH_4 EFs的空间分布变化很大,其值高达36 m3 / t,低至0.74 m3 / t。基于新近开发的CH_4 EF和活动数据,建立了2005-2010年省级CH4排放清单。结果表明,中国CH_4的总排放量从2005年的11.5 Tg增加到2010年的16.0 Tg。通过建立CH_4 EFs的灰色预测模型和活动回归模型,可以预测中国煤炭开采的省级CH_4排放量为2011年至2020年。将该估计值与其他已发布的清单进行比较。我们的结果与USEPA的清单具有合理的一致性,比使用IPCC默认EFs估计的结果低1-2倍。这项研究可以帮助指导中国CH_4缓解政策和实践。

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  • 来源
    《Environmental Science & Technology》 |2017年第21期|12072-12080|共9页
  • 作者单位

    School of Chemical & Environmental Engineering, China University of Mining & Technology (Beijing), No.11, Xueyuan Road, Haidian District, Beijing 100083, China,State Key Laboratory of Coal Resources and Safe Mining (CUMTB), Beijing 100083, China;

    School of Chemical & Environmental Engineering, China University of Mining & Technology (Beijing), No.11, Xueyuan Road, Haidian District, Beijing 100083, China;

    School of Chemical & Environmental Engineering, China University of Mining & Technology (Beijing), No.11, Xueyuan Road, Haidian District, Beijing 100083, China;

    School of Chemical & Environmental Engineering, China University of Mining & Technology (Beijing), No.11, Xueyuan Road, Haidian District, Beijing 100083, China;

    College of Resources & Safety Engineering, China University of Mining & Technology (Beijing), No.ll, Xueyuan Road, Haidian District, Beijing 100083, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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