Assessing the impact of industrial areas on land surface temperature: A comparison with urban and green spaces in the context of global warming

IF 13.3 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Sustainable Cities and Society Pub Date : 2026-03-01 Epub Date: 2026-01-27 DOI:10.1016/j.scs.2026.107185
Asfra Rizwan Toor, Zubair Khalid
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引用次数: 0

Abstract

This study provides a comprehensive analysis of the urban heat island (UHI) effect and land surface temperature (LST) variations across Lahore, Pakistan, focusing on industrial, residential, and green spaces. Within the broader UHI framework, the study foregrounds the intra-urban heat island (IHI) phenomenon, which captures fine-scale thermal contrasts among industrial, residential, and green spaces. This perspective helps show how industrial growth creates localized hotspots in the urban environment. Using Landsat imagery, the split-window algorithm, and vegetation and built-up indices, the study tracks LST trends over 24 years (2000–2024). A comparative analysis of supervised classification algorithms and Otsu thresholding with K-means clustering was conducted to assess vegetation distribution, demonstrating the value of combining automated and supervised methods for improved land-cover assessment. Results reveal a clear industrial thermal footprint following the establishment of the industrial estate in 2007, with peak summer LST reaching 43.2 °C at the core and declining to 41.6 °C within a 5 km radius. A maximum temperature contrast (ΔTmax) of 3 °C confirms localized heat accumulation. Residential areas show persistent warming, whereas green spaces consistently maintain the lowest LST. Vegetation loss is associated with an increase in LST of up to 4.6 °C, underscoring the cooling role of green infrastructure. Despite peak rainfall of 905 mm in 2021, IA temperatures remained high, indicating that impervious surfaces limit precipitation-driven cooling. The study offers long-term empirical insight but is constrained by Landsat’s spatial resolution and the absence of socioeconomic or atmospheric pollution variables, which future work should integrate for a more holistic assessment. The study advocates for targeted nature-based interventions to reduce heat stress and enhance urban resilience.

Abstract Image

评估工业区对地表温度的影响:全球变暖背景下与城市和绿地的比较
本研究对巴基斯坦拉合尔的城市热岛效应和地表温度变化进行了综合分析,重点关注工业、住宅和绿地。在更广泛的城市热岛框架内,该研究突出了城市内部热岛现象,它捕捉到了工业、住宅和绿色空间之间的精细尺度的热对比。这一视角有助于展示工业增长如何在城市环境中创造局部热点。利用陆地卫星图像、分窗算法以及植被和建筑指数,该研究追踪了24年(2000-2024年)的地表温度趋势。对比分析了监督分类算法与Otsu阈值与K-means聚类对植被分布的影响,证明了自动化和监督相结合的方法在改进土地覆盖评估中的价值。结果表明,2007年工业园区建成后,工业热足迹明显,夏季温度峰值在核心地区达到43.2°C,在5 km半径范围内下降到41.6°C。最高温度对比(ΔTmax)为3°C,证实了局部热积累。住区持续升温,而绿地持续保持最低的地表温度。植被损失与地表温度升高高达4.6°C相关,强调了绿色基础设施的降温作用。尽管2021年降雨量达到905毫米的峰值,但IA温度仍然很高,这表明不透水的表面限制了降水驱动的冷却。该研究提供了长期的经验见解,但受到Landsat的空间分辨率和缺乏社会经济或大气污染变量的限制,未来的工作应该整合这些变量以进行更全面的评估。该研究提倡有针对性的以自然为基础的干预措施,以减少热应激和增强城市弹性。
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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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