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Updated Emission Inventories for Speciated Atmospheric Mercury from Anthropogenic Sources in China

机译:中国人为来源的特定大气汞排放清单更新

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摘要

China is the largest contributor to global atmospheric mercury (Hg), and accurate emission inventories in China are needed to reduce large gaps existing in global Hg mass balance estimates and assess Hg effects on various ecosystems. The China Atmospheric Mercury Emission (CAME) model was developed in this study using probabilistic emission factors generated from abundant on-site measurements and literature data. Using this model, total anthropogenic Hg emissions were estimated to be continuously increasing from 356 t in 2000 to 538 t in 2010 with an average annual increase rate of 4.296. Industrial coal combustion, coal-fired power plants, nonferrous metal smelting, and cement production were identified to be the dominant Hg emission sources in China. The ten largest contributing provinces accounted for nearly 6096 of the total Hg emissions in 2010. Speciated Hg emission inventory was developed over China with a grid-resolution of 36 × 36 km, providing needed emission fields for Hg transport models. In this new inventory, the sectoral Hg speciation profiles were significantly improved based on the latest data from field measurements and more detailed technology categorization. The overall uncertainties of the newly developed inventory were estimated to be in the range of -20% to +23%.
机译:中国是全球大气汞(Hg)的最大贡献者,需要准确的排放清单以减少全球汞质量平衡估算中存在的巨大差距并评估汞对各种生态系统的影响。本研究使用大量现场测量和文献数据产生的概率排放因子开发了中国大气汞排放(CAME)模型。使用该模型,人为汞总排放量估计从2000年的356吨持续增加到2010年的538吨,年均增长率为4.296。工业燃煤,燃煤电厂,有色金属冶炼和水泥生产被确定为中国主要的汞排放源。十个最大的贡献省份在2010年占汞总排放量的近6096。特定的汞排放清单在中国范围内开发,网格分辨率为36×36 km,为汞运输模型提供了所需的排放场。在这个新清单中,基于现场测量的最新数据和更详细的技术分类,显着改善了部门汞形态分布。新开发库存的总体不确定性估计在-20%至+ 23%的范围内。

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  • 来源
    《Environmental Science & Technology》 |2015年第5期|3185-3194|共10页
  • 作者单位

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China,State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China,State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China,State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China,State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China;

    School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;

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