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Air Quality Improvement Co-benefits of Low-Carbon Pathways toward Well Below the 2 ℃ Climate Target in China

机译:中国远低于2℃气候目标的低碳途径的空气质量改善共同效益

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摘要

This research links the Integrated MARKAL-EFOM system model of China (China TIMES) and the Greenhouse Gas and Air Pollution Interactions and Synergies model (GAINS) to assess the co-benefits of air quality improvement under the Nationally Determined Contribution (NDC) and the well below 2 degrees C (WBD2) target. Results show that the industry sector and power sector are the key sources necessary to reduce air pollutant emissions, mainly due to the phasing out of fossil fuels. The electrification in the building sector will be another main source by which to decrease PM2.5 emissions. The adoption of various low-carbon constraints and further air pollutant control strategies will significantly alleviate the current air pollution problems in China by reducing the concentration and scope of the air pollutants and reducing the corresponding number of premature deaths. A stricter air pollutant control strategy will lead to increases in air pollutant control costs; however, the low-carbon targets will help reduce these costs in the long run. Compared to the current national policy, within the same air pollutant control strategy, the reduction of air pollutant control cost can cover the incremental CO2 mitigation cost under the NDC target, while this cannot be realized under the WBD2 target.
机译:本研究将中国的MARKAL-EFOM集成系统模型(China TIMES)和温室气体与空气污染的相互作用与协同效应模型(GAINS)联系起来,以评估在国家自主贡献(NDC)和NDC下空气质量改善的共同效益。远低于2摄氏度(WBD2)的目标。结果表明,工业部门和电力部门是减少空气污染物排放所必需的关键来源,主要是由于逐步淘汰了化石燃料。建筑行业的电气化将是减少PM2.5排放的另一主要来源。通过降低空气污染物的浓度和范围并减少相应的过早死亡人数,采取各种低碳限制措施和进一步的空气污染物控制策略将显着缓解当前中国的空气污染问题。更严格的空气污染物控制策略将导致空气污染物控制成本的增加;但是,从长远来看,低碳目标将有助于降低这些成本。与当前的国家政策相比,在相同的空气污染物控制策略下,减少空气污染物控制成本可以覆盖NDC目标下的二氧化碳减排增量成本,而在WBD2目标下则无法实现。

著录项

  • 来源
    《Environmental Science & Technology》 |2019年第10期|5576-5584|共9页
  • 作者单位

    Tsinghua Univ, Inst Energy Environm & Econ, Energy Sci Bldg, Beijing 100084, Peoples R China;

    Tsinghua Univ, Inst Energy Environm & Econ, Energy Sci Bldg, Beijing 100084, Peoples R China;

    Int Inst Appl Syst Anal, Air Qual & Greenhouse Gases Program, Schlosspl 1, A-2361 Laxenburg, Austria;

    Int Inst Appl Syst Anal, Air Qual & Greenhouse Gases Program, Schlosspl 1, A-2361 Laxenburg, Austria;

    Int Inst Appl Syst Anal, Air Qual & Greenhouse Gases Program, Schlosspl 1, A-2361 Laxenburg, Austria;

    Tsinghua Univ, Inst Energy Environm & Econ, Energy Sci Bldg, Beijing 100084, Peoples R China;

    Tsinghua Univ, Inst Energy Environm & Econ, Energy Sci Bldg, Beijing 100084, Peoples R China;

    Int Inst Appl Syst Anal, Energy Program, Schlosspl 1, A-2361 Laxenburg, Austria;

    Int Inst Appl Syst Anal, Energy Program, Schlosspl 1, A-2361 Laxenburg, Austria;

  • 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);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:24:32

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