城市收缩是否有助于减缓地表气温变暖?

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-08-05 DOI:10.1016/j.scs.2024.105730
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引用次数: 0

摘要

近年来,城市地区正日益经历剧烈的气候变暖。虽然城市化是城市环境变暖的一个重要驱动因素,但城市人口减少的趋势是否会缓解这种变暖效应仍不清楚。在此,我们探讨了中国城市缩小与观测到的气候变暖之间的关系。在中国的 356 个城市中,有 95 个在 2000 年至 2010 年期间被确定为人口萎缩城市。我们将 2419 个观测站分为三组--农村观测站、萎缩观测站和非萎缩观测站,并为每组观测站生成了 1961 年至 2014 年的地表气温(SAT)异常序列。研究了萎缩和非萎缩城市观测站之间的气温差异。利用分段广义最小二乘法回归,探讨了平均气温(Tmean)、最高气温(Tmax)、最低气温(Tmin)、昼夜温差(DTR)指标以及春、夏、秋、冬四季的时空温度模式。结果表明,在不断缩小的城市中出现了降温效应,区域平均温度、最高温度和最低温度的十年平均值分别下降了 0.042 ℃(-0.078 ℃至-0.005 ℃)、0.083 ℃(-0.126 ℃至-0.039 ℃)和 0.029 ℃(-0.062 ℃至-0.005 ℃)。此外,这一现象还具有明显的季节性:春季的平均温度和秋季的最高温度的降温效应最为显著,夏季的降温效应较小,而冬季的降温效应可以忽略不计。这些结果表明,缩小的城市人口减少可以缓解区域变暖,从而影响城市规划和气候减缓政策。
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Can urban shrinkage contribute to mitigating surface air temperature warming?

In recent years, urban areas are increasingly experiencing intense warming. Although urbanization is an important driver of warming in urban environments, it remains unclear whether depopulation trends in shrinking cities mitigate this warming effect. Here, we explored the relationship between shrinking cities and observed warming in China. Of the 356 Chinese cities, 95 were identified as shrinking between 2000 and 2010. We categorized 2419 observation stations into three groups—rural, shrinking, and non-shrinking—and generated a surface air temperature (SAT) anomaly series for each group from 1961 to 2014. Temperature differences between the shrinking and non-shrinking urban stations were investigated. Using segmented generalized least squares regression, the spatiotemporal temperature patterns across the mean (Tmean), maximum (Tmax), and minimum temperatures (Tmin), diurnal temperature range (DTR) indicators, and across seasons—spring, summer, autumn, and winter—were explored. Results revealed a cooling effect in shrinking cities, with decadal decreases of 0.042 °C (–0.078 to –0.005 °C), 0.083 °C (–0.126 to –0.039 °C), and 0.029 °C (–0.062 to –0.005 °C) in regional Tmean, Tmax, and Tmin anomalies, respectively. Moreover, pronounced seasonality was identified in this phenomenon—the cooling effect was most notable for Tmean in spring and Tmax in autumn, less significant in summer, and negligible in winter. These results suggested that the population decline in shrinking cities could alleviate regional warming, having implications that could influence urban planning and climate mitigation policies.

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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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