Exploring the cooling potential of green roofs for mitigating diurnal heat island intensity by utilizing Lidar and Artificial Neural Network

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

Sustainable Cities and Society Pub Date : 2024-10-11 DOI:10.1016/j.scs.2024.105893

Abdulla Al Kafy, Kelley A. Crews, Amy E. Thompson

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引用次数: 0

Abstract

Urban areas frequently exhibit higher elevated temperatures than their rural counterparts due to the prevalence of structures over natural resources, a phenomenon known as daytime surface urban heat island (DSUHI). This study simulates the cooling effects of green roofs (GR) for mitigating DSUHI by utilizing 2D and 3D urban morphological parameters over downtown Austin, Texas, USA. We estimated spectral indices using Landsat 8, Sentinel-2A, and Lidar data to include built-up, vegetation, waterbodies, daytime land surface temperature (DLST), buildings (height volume and density), sky view factor (SVF), and solar radiation (SR). Finally, we integrated eleven different neural network algorithms for GR simulation, validation, and correlation between DLST and the above urban features- the strongest model generated an R² of 0.783 and an RMSE of 0.925°F. We found converting 4.2% of the total rooftop area to GR resulted in an average DLST decrease of 2.80°F. The most significant cooling effects occurred with buildings heights between 13 and 28 m, high SVFs, SR, and closer proximity to water bodies. Our findings amplify the strategic importance of GRs in urban morphology and planning, guiding green infrastructure development to mitigate and foster urban environment sustainability.

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利用激光雷达和人工神经网络探索屋顶绿化在缓解昼夜热岛强度方面的冷却潜力

由于建筑物多于自然资源，城市地区的气温经常高于农村地区，这种现象被称为日间地表城市热岛（DSUHI）。本研究利用美国德克萨斯州奥斯汀市中心的二维和三维城市形态参数，模拟了绿色屋顶（GR）的冷却效果，以缓解 DSUHI。我们利用 Landsat 8、Sentinel-2A 和激光雷达数据估算了光谱指数，包括建筑、植被、水体、白天地表温度 (DLST)、建筑物（高度体积和密度）、天空视角系数 (SVF) 和太阳辐射 (SR)。最后，我们整合了 11 种不同的神经网络算法，对 DLST 和上述城市特征进行 GR 模拟、验证和相关性分析，其中最强的模型产生的 R2 为 0.783，RMSE 为 0.925°F。我们发现，将屋顶总面积的 4.2% 转换为 GR 后，DLST 平均下降了 2.80°F。建筑物高度在 13 米至 28 米之间、高 SVF、SR 以及更靠近水体时，降温效果最为明显。我们的研究结果提高了全球降温系统在城市形态和规划中的战略重要性，指导绿色基础设施的发展，以缓解和促进城市环境的可持续性。

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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;