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Integrating mitigation of air pollutants and greenhouse gases in Chinese cities: development of GAINS-City model for Beijing

机译:整合中国城市中的空气污染物和温室气体减排:北京GAINS-City模型的开发

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摘要

Strong economic growth in China has fueled development of cities where increase in energy demand and transportation lead to severe air pollution. The cities contribute also a significant share of the national greenhouse gas emissions. We identify strong synergies between air quality and climate relevant measures that would allow improving cost-efficiency of air pollution policies. In order to help local policy makers to identify viable and efficient solutions, we developed a city-scale emission model (GAINS-City) based on the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model developed by the International Institute for Applied Systems Analysis (IIASA, Austria). The GAINS-City model relies on a technology-based approach to evaluate the co-benefits of various policies. This approach allows for estimation of emission reductions of several pollutants (including SO_2, NO_X, PM) and CO2 for individual policies and support evaluation of co-benefits. In addition, a reduction index, an integrated rank of the individual reductions potential, was defined to recommend the priority of policies implementation. The approach will have great potential to be applied in many large cities with local input data and/or minor structure modifications. We conducted a case study in Beijing to demonstrate the model features. Based on the technology-based evaluation approach, policy packages were designed and implemented in policy scenarios. The emissions under three scenarios (Baseline, Air Quality, and Strict Air Quality) in base year (2005) and future years (2020 and 2030) were estimated. The results indicate a significant reduction potential. In 2030, implementation of Air Quality and Strict Air Quality scenarios could result in reductions of 39-48% of SO_2 emissions, 38-42% of NO_X emissions, 37-55% of PM_(2.5) emissions and 5-22% of CO_2 emissions respectively, compared with the Baseline scenario. The results demonstrated air quality policies and measures could also have co-benefits of reducing CO_2 emissions. However, there is no significant difference of reductions between the two policy scenarios, which indicates the limited further reduction potential in the stricter air quality case. This calls for a wider application of cleaner technologies, such as IGCC and CCS, and more aggressive air quality measures by neighboring provinces to control regional air pollution.
机译:中国强劲的经济增长推动了城市的发展,在这些城市,能源需求和交通运输的增加导致严重的空气污染。这些城市还占了全国温室气体排放量的很大一部分。我们确定了空气质量与气候相关措施之间的强大协同作用,这将有助于提高空气污染政策的成本效益。为了帮助当地决策者确定可行和有效的解决方案,我们根据国际应用系统研究所开发的温室气体与空气污染相互作用和协同效应(GAINS)模型开发了城市规模的排放模型(GAINS-City)。分析(IIASA,奥地利)。 GAINS-City模型依靠一种基于技术的方法来评估各种政策的共同利益。这种方法可以针对个别政策估算几种污染物(包括SO_2,NO_X,PM)和CO2的减排量,并支持对协同效益的评估。此外,还确定了减排指标,即各项减排潜力的综合排名,以建议优先执行政策。这种方法在具有本地输入数据和/或较小结构修改的大型城市中将具有巨大的潜力。我们在北京进行了案例研究,以展示模型的功能。基于基于技术的评估方法,在策略方案中设计和实施策略包。估算了基准年(2005年)和未来几年(2020年和2030年)的三种情景(基准,空气质量和严格空气质量)下的排放。结果表明明显的还原潜力。在2030年,实施空气质量和严格的空气质量情景可能会导致SO_2排放减少39-48%,NO_X排放减少38-42%,PM_(2.5)排放减少37-55%和CO_2减少5-22%与基准情景相比。结果表明,空气质量政策和措施也可能具有减少CO_2排放的共同益处。但是,两种政策方案之间的减排量没有显着差异,这表明在更严格的空气质量情况下进一步减排的潜力有限。这就要求更广泛地应用更清洁的技术,例如IGCC和CCS,并由邻省采取更加积极的空气质量措施来控制区域性空气污染。

著录项

  • 来源
    《Journal of Cleaner Production》 |2013年第1期|25-33|共9页
  • 作者单位

    State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China,Center for Earth System Science, Tsinghua University, Beijing 100084, China;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

    Center for Earth System Science, Tsinghua University, Beijing 100084, China;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

    The China Sustainable Energy Program, The Energy Foundation - Beijing Office, CTTIC Building, Room 2403, No. 19, Jianguomenwai Dajie, Beijing 100004, China;

    Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

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

    State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China,Center for Earth System Science, Tsinghua University, Beijing 100084, China;

    State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China,Center for Earth System Science, Tsinghua University, Beijing 100084, China;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

    International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Co-benefits; Urban emissions; GAINS-City model; Integrated assessment; Air pollution;

    机译:共同利益;城市排放;GAINS-城市模型;综合评估;空气污染;

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