Exploring the decoupling effect and driving mechanism of carbon emissions at macroscale: An empirical study from Wuhan metropolitan area

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Yunhao Fang , Liyuan Zhao
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Abstract

Addressing global climate change and reducing carbon dioxide emissions are critical priorities for sustainable development. Exploring the decoupling effect of carbon emissions at the macro scale is essential for understanding regional disparities, optimizing spatial resource allocation, and guiding coordinated low-carbon transitions across diverse geographical contexts. Using the Wuhan Metropolitan Area as a case study, this research first measured the spatiotemporal characteristics of carbon emissions in 2010, 2015, and 2020, and then analyzed their correlations with economic development intensity and land use intensity. Subsequently, the decoupling effect of carbon emissions was assessed for the periods 2010–2015 and 2015–2020. Furthermore, employing a random forest model and considering natural and social factors, the study explored the driving mechanisms of carbon emission decoupling effects. Finally, the study applied the K-means clustering algorithm to develop a cross-city co-decoupling strategy for carbon emissions at the metropolitan scale. The results reveal that: (1) During 2010–2020, the total carbon emissions in the Wuhan Metropolitan Area exhibited an increasing trend, with high-carbon-emission regions demonstrating a significant expansion. (2) Over the same period, economic development intensity and land use intensity were positively correlated with carbon emissions, and their interaction had a synergistic effect that exacerbated emissions. (3) The decoupling effects of carbon emissions differed between economic and land use dimensions, with contraction at the economic level and expansion at the land use level. Both natural and social factors influenced decoupling effects, with natural factors accounting for 24.85 %–31.72 % and social factors for 68.28 %–75.15 % of the variation, driven by fractional vegetation cover and residential, industrial, and transportation activities, respectively. (4) The Wuhan Metropolitan Area can be classified into four types of low-carbon regulatory zones: comprehensive carbon reduction zones, transportation-residential reduction zones, industrial reduction zones, and residential reduction zones. Specific strategies were developed within each zone to achieve co-decoupling of carbon emissions.

Abstract Image

宏观尺度下碳排放的脱钩效应及驱动机制研究——以武汉都市圈为例
应对全球气候变化和减少二氧化碳排放是可持续发展的关键优先事项。在宏观尺度上探索碳排放的脱钩效应,对于理解区域差异、优化空间资源配置、指导不同地理背景下协调低碳转型具有重要意义。以武汉都市区为例,分析了2010年、2015年和2020年武汉都市区碳排放的时空特征,并分析了其与经济发展强度和土地利用强度的相关性。随后,对2010-2015年和2015-2020年碳排放的脱钩效应进行了评估。采用随机森林模型,综合考虑自然因素和社会因素,探讨了碳排放脱钩效应的驱动机制。最后,应用K-means聚类算法建立了城市尺度下碳排放的跨城市共解耦策略。结果表明:①2010-2020年,武汉都市圈碳排放总量呈增加趋势,高碳排放区域显著扩张;(2)同一时期,经济发展强度和土地利用强度与碳排放呈正相关,且二者的交互作用具有协同效应,加剧了碳排放。③碳排放的脱钩效应在经济和土地利用两个维度上存在差异,在经济层面表现为收缩,在土地利用层面表现为扩张。自然因素和社会因素都影响脱钩效应,其中自然因素占24.85% ~ 31.72%,社会因素占68.28% ~ 75.15%,分别受植被覆盖度和居住、工业和交通活动的驱动。(4)武汉都市圈可划分为综合减碳区、交通-居住减碳区、工业减碳区和居住减碳区4类低碳调控区。在每个区域内制定了具体的战略,以实现碳排放的共解耦。
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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