考察当地气候区(LCZ)框架在非正规城市住区的适用性:阿富汗喀布尔的启示

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
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引用次数: 0

摘要

为了更好地研究城市热岛效应(UHI),人们开发了一个名为 "地方气候区(LCZ)"的标准化框架,并将其广泛应用于众多城市。然而,在 LCZ 文献中,来自最不发达国家、具有不同类型的城市的代表性不足。本研究评估了 LCZ 框架在喀布尔以贫民窟为主的建筑环境中的适用性。我们采用地理信息系统和遥感相结合的方法,对自然低碳区和建筑型低碳区进行了分类,并分析了低碳区-LST 的波动情况。分析结果显示,四个新的亚类覆盖了 23% 的建筑型低纬度区:LCZ 35(紧凑低层布局中的中高层建筑)和 LCZ 65(开阔低层区域中的中层建筑)的最低温度带在 7 月分别为 34.36 ℃ 和 34.42 ℃。相比之下,LCZ 73(轻型布局的两层/三层建筑)和 LCZ 9F(裸露土壤或沙地上的稀疏建筑)的低温露点温度较高,七月分别为 37.2 ℃ 和 38.6 ℃。与标准低纬度区相比,这些亚类显示出不同的区域参数阈值。在大多数建筑型低纬度地区中,平均建筑高度(ABH)和透水表面比例(PSF)对低热层有负面影响,而不透水表面和天空视角因子则导致较高的低热层。根据研究结果,我们提出了LCZ特定的LST减缓策略(植被、城市形态和使用高缓冲材料)。此外,我们还提供了旨在减缓城市热量的规划、设计和政策建议,这些建议可能适用于面临快速城市化和非正规居住区增长的其他城市。这些发现可以为城市适应气候变化的行动提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining the suitability of the local climate zones (LCZ) framework in informal urban settlements: Insights from Kabul, Afghanistan

To better investigate the Urban Heat Island (UHI) effect, a standardized framework known as Local Climate Zones (LCZ) has been developed and widely applied to numerous cities. However, cities from least-developed countries with heterogeneous typologies are underrepresented in the LCZ literature. This study assesses the applicability of the LCZ framework in the slum-dominant built-up environment of Kabul. Using a combined method involving GIS and remote sensing, we classified natural and built-type LCZs and analyzed LCZ-LST fluctuations. The analysis revealed that four new subclasses cover 23 % of the built type LCZs: LCZ 35 (mid/high-rise buildings within compact lowrise layouts) and LCZ 65 (midrise buildings among open lowrise areas) have the lowest LSTs at 34.36 °C and 34.42 °C in July, respectively. In contrast, LCZ 73 (two/three-story buildings in lightweight configurations), and LCZ 9F (sparse buildings on bare soil or sand) have higher LSTs at 37.2 °C and 38.6 °C in July, respectively. These subclasses showed distinct zone parameter thresholds compared to standard LCZs. In most built-type LCZs, Average Building Height (ABH) and Pervious Surface Fraction (PSF) negatively influenced LST, while impervious surfaces and Sky View Factor contributed to higher LST. Based on the findings, LCZ-specified strategies (Vegetation, urban form, and using high-albedo materials) for LST mitigation are proposed. Furthermore, we provide planning, design, and policy recommendations aimed at mitigating urban heat, with potential applicability to other cities facing rapid urbanization and growth of informal settlements. The findings can inform action toward urban climate change adaptation.

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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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