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Changing Urban Carbon Metabolism over Time: Historical Trajectory and Future Pathway

机译:随时间变化的城市碳代谢:历史轨迹和未来之路

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摘要

Cities are expected to play a major role in carbon emissions mitigation. A key step in decoupling urban economy from carbon emissions is to understand the full impact of socioeconomic development on urban metabolism over time. Herein, we establish a system-based framework for modeling the variation of urban carbon metabolism through time by integrating a metabolic flow inventory, input-output model, and network analysis. Using Beijing as a case study, we track the historical trajectory of carbon flows embodied in urban final consumption over 1985-2012. We find that while the tendency of increase in direct carbon emission continues within this time frame, consumption-based carbon footprint might have peaked around 2010. Significant transitions in emission intensity and roles sectors play in transferring carbon over the period are important signs of decoupling urban development from carbonization. Our further analysis of driving factors reveals a strong competition between efficiency gains and consumption level rise, showing a cumulative contribution of -584% and 494% to total carbon footprint, respectively. Projection into a future pathway suggests there is still a great potential for carbon mitigation for the city, but a strong mitigation plan is required to achieve such decarbonization before 2030. By bridging temporal metabolic model and socioeconomic planning, this framework fills one of the main gaps between monitoring of urban metabolism and design of a low-carbon economy.
机译:预计城市将在减少碳排放方面发挥重要作用。使城市经济与碳排放脱钩的关键一步是了解社会经济发展对城市新陈代谢的全面影响。在这里,我们建立了一个基于系统的框架,通过整合代谢流量清单,投入产出模型和网络分析,对城市碳代谢随时间的变化进行建模。以北京为例,我们追踪了1985-2012年城市最终消费中体现的碳流量的历史轨迹。我们发现,虽然直接碳排放量的增长趋势在此时间范围内继续存在,但基于消耗的碳足迹可能在2010年左右达到峰值。在此期间,排放强度的显着转变以及行业在碳转移中的作用是城市脱钩的重要标志。从碳化发展。我们对驱动因素的进一步分析显示,效率提高与消费水平上升之间存在激烈竞争,分别显示出对总碳足迹的累计贡献分别为-584%和494%。预计到未来的道路表明该城市仍有很大的碳减排潜力,但是要在2030年之前实现这种脱碳,还需要制定强有力的减排计划。通过衔接时间代谢模型和社会经济计划,该框架填补了主要差距之一在监测城市新陈代谢和设计低碳经济之间。

著录项

  • 来源
    《Environmental Science & Technology》 |2017年第13期|7560-7571|共12页
  • 作者

    Shaoqing Chen; Bin Chen;

  • 作者单位

    State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, 100875 Beijing, China;

    State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, 100875 Beijing, 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);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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