A cross-scale indicator framework for the study of annual stability of land surface temperature in different land uses

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2024-10-23 DOI:10.1016/j.scs.2024.105936

Shuyang Zhang , Chao Yuan , Taihan Chen , Beini Ma , Nianxiong Liu

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引用次数: 0

Abstract

Urban Land Surface Temperature (LST) is crucial in surface urban heat island (SUHI) and microclimate studies. Currently, research has focused on seasonal LST differences across land uses, but annual LST fluctuations (ΔLST) within the same land use and their drivers remain underexplored. To explore the impact of land characteristics and urban elements on seasonal LST differences, we propose annual LST stability. We constructed a new indicator framework based on Land Use and Land Cover (LULC), supplemented by Land Morphology (LM) and Land Properties (LP), for cross-scale ΔLST research. We identified land use ratios and key characteristics of urban plots with high stability. The results show an interactive effect of the green land ratio to other land on ΔLST. For residential and office land, the green space ratio (GSR) is key to annual LST stability. Residential land needs a GSR of more than 24 %. The floor area ratio (FAR) for residential and office land has a significant nonlinear effect on annual LST stability, with FARs of 1.8 for residential land and 1.5 for office land being most detrimental to the LST stability. For practical implications, we conducted cluster analyses on residential, office, and green lands, providing strategies to improve stability. These conclusions help balance land economic benefits with urban climate resilience and guide urban planning and design to address the challenges of heat and cold waves.

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用于研究不同土地利用中地表温度年稳定性的跨尺度指标框架

城市地表温度（LST）在地表城市热岛（SUHI）和小气候研究中至关重要。目前，研究主要集中在不同土地利用方式的季节性地表温度差异上，但对同一土地利用方式下的地表温度年波动（ΔLST）及其驱动因素的研究仍然不足。为了探索土地特征和城市要素对 LST 季节性差异的影响，我们提出了 LST 年度稳定性。我们构建了一个基于土地利用和土地覆盖（LULC）的新指标框架，并辅以土地形态（LM）和土地性质（LP），用于跨尺度ΔLST 研究。我们确定了具有高度稳定性的城市地块的土地利用比率和主要特征。结果显示，绿地与其他土地的比例对ΔLST 有交互影响。对于住宅和办公用地而言，绿地率（GSR）是年度 LST 稳定性的关键。居住用地的绿地率需要大于 24%。居住用地和办公用地的容积率（FAR）对年 LST 稳定性有显著的非线性影响，其中居住用地的容积率为 1.8 和办公用地的容积率为 1.5 对 LST 稳定性最为不利。出于实际考虑，我们对住宅、办公和绿化用地进行了聚类分析，提出了提高稳定性的策略。这些结论有助于平衡土地经济效益和城市气候适应能力，指导城市规划和设计应对热浪和寒潮的挑战。

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来源期刊

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;