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Mercury Flows in China and Global Drivers

机译:中国的汞流动和全球驱动因素

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摘要

Mercury (Hg) pollution œntro has become an urgent need at global and national scales. This study, for the first time, comprehensively examines Hg flows in Mainland China and uncovers domestic and external causal driven of China's Hg emissions/releases. Results show that China's Hg input reaches 26431 in 2010. China discharges 13681 of Hg to the environment (to air, 633 t; water, 84 t; and land, 651 t). Embedded Hg transfers across production sectors via waste/ byproduct flows reduce Hg releases to land, but lead to secondary Hg emissions to air. Such revelations of embedded Hg transfers adjusts China's comprehensive Hg control that would otherwise only tackle primary emitters. Domestic consumption causes 67% of China's Hg emissions/releases, and external consumption induces the remaining 33%. Besides traditional production-side Hg control measures, demand-side measures and international joint efforts are required to effectively combat Hg pollution. Uncovering embedded and embodied Hg flows within the global economy can assist a paradigm shift necessary to make real progress in global Hg control and the implementation of the Minamata Convention on Mercury.
机译:汞(Hg)污染–在全球和国家范围内已成为迫切需要。这项研究首次全面研究了中国大陆的汞流量,并揭示了中国汞排放/释放驱动的国内外因果关系。结果表明,2010年中国的汞输入量为26431。中国向环境排放的汞达13681(向空气排放633吨;向水排放84吨;向陆地排放651吨)。通过废物/副产品流在生产部门中进行的嵌入式汞转移减少了汞向土地的释放,但导致了空气中的二次汞排放。嵌入式汞转移的这种启示调整了中国对汞的全面控制,否则将只能解决主要排放者。国内消费占中国汞排放/释放的67%,而外部消费则占余下的33%。除了传统的生产侧汞控制措施外,还需要需求侧措施和国际共同努力才能有效地消除汞污染。在全球经济中发现汞的隐含和隐含流动可以帮助进行必要的模式转变,以实现全球汞控制和《水am汞公约》的实施方面的真正进展。

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  • 来源
    《Environmental Science & Technology》 |2017年第1期|222-231|共10页
  • 作者单位

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

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

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

    School of Natural Resources and Environment, University of Michigan, Ann Arbor, Michigan 48109-1041, United States;

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

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

    ISA School of Physics A28, The University of Sydney, Sydney, New South Wales 2006, Australia;

    School of Statistics, Beijing Normal University, Beijing 100875, China;

    School of Statistics, Beijing Normal University, Beijing 100875, China;

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

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

    Norwegian Institute for Water Research (NΓVA), Oslo 0349, Norway;

    Norwegian Institute for Water Research (NΓVA), Oslo 0349, Norway;

    Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109-2125, United States ,Sustainable Development and New-Type Urbanization Think Tank, Tongji University, Shanghai, 200092, China;

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

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