武汉特大城市碳足迹的解耦效应及驱动因素。

IF 4.6 2区 环境科学与生态学 Q1 ECOLOGY
Ecological Processes Pub Date : 2023-01-01 Epub Date: 2023-05-17 DOI:10.1186/s13717-023-00435-y
Gao Pan, Xinhang Li, Deng Pan, Wensheng Liu
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引用次数: 0

摘要

背景:包括武汉在内的中国35个最大城市约占中国人口的18%,能源消耗和温室气体排放占40%。武汉是华中地区唯一的副省级城市,作为全国第八大经济体,能源消耗显著增加。然而,在理解武汉经济发展与碳足迹的关系及其驱动因素方面存在着重大的知识差距,2001年至2020年的碳承载能力、碳赤字和碳赤字压力指数。我们还采用了脱钩模型来阐明CF总量、其账户和经济发展之间的耦合动态。我们采用偏最小二乘法分析了武汉CF的影响因素,并确定了主要驱动因素。结果:武汉市碳足迹从2001年的3601万吨二氧化碳当量增加到2020年的7007万吨二氧化碳,增长率为94.61%,远远快于碳承载力。能源消耗占比(84.15%)远远超过其他账户,主要由原煤、焦炭和原油贡献。碳赤字压力指数在8.44-6.74%之间波动,表明2001-2020年武汉处于缓解区和轻度增强区。大约在同一时间,武汉正处于CF弱脱钩和强脱钩与经济增长之间的过渡阶段。CF增长的主要驱动因素是城市人均住宅建筑面积,而单位GDP能耗是CF下降的原因。结论:我们的研究强调了城市生态和经济系统的相互作用,武汉的CF变化主要受四个因素的影响:城市规模、经济发展、社会消费和技术进步。研究结果对促进低碳城市发展和提高城市可持续性具有现实意义,相关政策可以为其他面临类似挑战的城市提供良好的参考。补充信息:在线版本包含补充材料,可访问10.1186/s13717-023-00435-y。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China.

Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China.

Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China.

Background: China's 35 largest cities, including Wuhan, are inhabited by approximately 18% of the Chinese population, and account for 40% energy consumption and greenhouse gas emissions. Wuhan is the only sub-provincial city in Central China and, as the eighth largest economy nationwide, has experienced a notable increase in energy consumption. However, major knowledge gaps exist in understanding the nexus of economic development and carbon footprint and their drivers in Wuhan.

Methods: We studied Wuhan for the evolutionary characteristics of its carbon footprint (CF), the decoupling relationship between economic development and CF, and the essential drivers of CF. Based on the CF model, we quantified the dynamic trends of CF, carbon carrying capacity, carbon deficit, and carbon deficit pressure index from 2001 to 2020. We also adopted a decoupling model to clarify the coupled dynamics among total CF, its accounts, and economic development. We used the partial least squares method to analyze the influencing factors of Wuhan's CF and determine the main drivers.

Results: The CF of Wuhan increased from 36.01 million t CO2eq in 2001 to 70.07 million t CO2eq in 2020, a growth rate of 94.61%, which was much faster than that of the carbon carrying capacity. The energy consumption account (84.15%) far exceeded other accounts, and was mostly contributed by raw coal, coke, and crude oil. The carbon deficit pressure index fluctuated in the range of 8.44-6.74%, indicating that Wuhan was in the relief zone and the mild enhancement zone during 2001-2020. Around the same time, Wuhan was in a transition stage between weak and strong CF decoupling and economic growth. The main driving factor of CF growth was the urban per capita residential building area, while energy consumption per unit of GDP was responsible for the CF decline.

Conclusions: Our research highlights the interaction of urban ecological and economic systems, and that Wuhan's CF changes were mainly affected by four factors: city size, economic development, social consumption, and technological progress. The findings are of realistic significance in promoting low-carbon urban development and improving the city's sustainability, and the related policies can offer an excellent benchmark for other cities with similar challenges.

Supplementary information: The online version contains supplementary material available at 10.1186/s13717-023-00435-y.

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来源期刊
Ecological Processes
Ecological Processes Environmental Science-Ecological Modeling
CiteScore
8.50
自引率
4.20%
发文量
64
审稿时长
13 weeks
期刊介绍: Ecological Processes is an international, peer-reviewed, open access journal devoted to quality publications in ecological studies with a focus on the underlying processes responsible for the dynamics and functions of ecological systems at multiple spatial and temporal scales. The journal welcomes manuscripts on techniques, approaches, concepts, models, reviews, syntheses, short communications and applied research for advancing our knowledge and capability toward sustainability of ecosystems and the environment. Integrations of ecological and socio-economic processes are strongly encouraged.
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