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Global Urban Carbon Networks: Linking Inventory to Modeling

机译:全球城市碳网络:将清单链接到模型

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摘要

Cities utilize and manipulate an immense amount of global carbon flows through their economic and technical activities. Here, we establish the carbon networks of eight global cities by tracking the carbon exchanges between various natural and economic components. The metabolic properties of these carbon networks are compared by combining flow-based and interpretative network metrics. We further assess the relations of these carbon metabolic properties of cities with their socioeconomic attributes that are deemed important in urban development and planning. We find that, although there is a large difference in city-level carbon balance and flow pattern, a similarity in intercomponent relationships and metabolic characteristicsdoes exist. Cities with lower per capita carbon emissions tend to have healthier metabolic systems with more cooperative resource allocation among various industries, which indicates that there may be synergy between urban decarbonization and carbon-containing resource system optimization. A combination of indicators from flow balance and network models is a promising scheme for linking sector-based carbon inventories to system-based simulations of carbon management efforts. With this done, we may be able to reduce the knowledge gap with respect to how various carbon flows in cities can be conceitedly managed considering both the restraint from their climate mitigation goals as well as the impact on urban social and economic development.
机译:城市通过其经济和技术活动来利用和操纵大量的全球碳流量。在这里,我们通过跟踪自然和经济各个组成部分之间的碳交换来建立八个全球城市的碳网络。通过结合基于流量和解释性的网络指标,比较了这些碳网络的代谢特性。我们进一步评估了城市的这些碳代谢特性与其在社会发展和规划中重要的社会经济属性之间的关系。我们发现,尽管城市一级的碳平衡和流动模式存在很大差异,但组件间关系和代谢特性确实存在相似之处。人均碳排放量较低的城市往往拥有更健康的新陈代谢系统,各行业之间的资源分配更加合作,这表明城市脱碳与含碳资源系统优化之间可能存在协同作用。来自流量平衡和网络模型的指标的组合是一种很有前途的方案,可以将基于部门的碳清单与基于系统的碳管理工作模拟联系起来。完成此操作后,考虑到减缓气候变化目标的限制以及对城市社会和经济发展的影响,我们或许可以缩小关于如何合理管理城市中各种碳流量的知识鸿沟。

著录项

  • 来源
    《Environmental Science & Technology》 |2020年第9期|5790-5801|共12页
  • 作者单位

    School of Environmental Science and Engineering and Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology Sun Yat-Sen University Guangzhou 510275 China;

    Department of Biological Sciences Towson University Towson Maryland 21252 United States Advanced Systems Analysis Program International Institute for Applied Systems Analysis Laxenburg A-2361 Austria Environmental Studies Masaryk University Brno 602 00 Czech Republic;

    State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 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
  • 关键词

  • 入库时间 2022-08-18 05:27:33

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