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Hierarchical structure analysis of urban carbon metabolism: A case study of Beijing, China

机译:城市碳代谢的层次结构分析-以北京为例

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An integral analysis of urban carbon metabolism can support efforts to build a more sustainable city: the spatial gradients provide insights into how to guide future land use and cover change, while ecological network hierarchy provide insights into the self-mutualistic interactions of the city's carbon metabolic structure. In this study, we combined a spatially explicit network with carbon budget of energy consumption and land use and cover change in Beijing, China. From 1990 to 2010, energy related carbon emissions accounted for roughly 90% of the city's total. The network's integrated flux decreased at an average rate of 7.5%. The output flux primarily decreased when moving outward from the center through the periphery of southeastern plains and towards the northwestern mountains. In contrast, the input flux increased moving from the periphery to both the center and mountains. The ecological hierarchy was irregular based on both the driving and pull weights for the components of the model, with excessively small producer and decomposer layers and excessively large consumer layers. The changing structure of Beijing's carbon metabolism over time indicated a tendency to a better organized city. Understanding the evolution of these hierarchies during urban development provides a more solid empirical basis for improving use of the urban space and reducing carbon emission.
机译:对城市碳代谢的整体分析可以支持建设更具可持续性的城市的努力:空间梯度提供了有关如何指导未来土地使用和覆盖变化的见识,而生态网络层次结构则提供了对城市碳代谢的自我互动的见解。结构体。在这项研究中,我们将空间显式网络与能源消耗和土地使用的碳预算相结合,并涵盖了中国北京的变化。从1990年到2010年,与能源相关的碳排放量约占全市的90%。网络的综合通量平均下降了7.5%。当从中心穿过东南平原的外围向西北山区移动时,输出通量主要下降。相反,输入通量从外围移动到中心和山脉都增加了。基于模型组件的驱动权重和拉权重,生态等级是不规则的,生产者和分解者层过小,而消费者层过大。随着时间的推移,北京的碳代谢结构发生了变化,这表明该城市趋向于组织化。了解城市发展过程中这些层次结构的演变,为改善城市空间利用和减少碳排放量提供了更为坚实的经验基础。

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