Artículo

Research Overview on Urban Heat Islands Driven by Computational Intelligence

Resumen

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, including machine learning algorithms, cellular automata, and artificial neural networks, used for simulating urban expansion and predicting UHI effects. The study also examines numerical modeling methods, including the Weather Research and Forecasting (WRF) model, while examining the application of Computational Fluid Dynamics (CFD) in urban microclimate research. Furthermore, we evaluate potential mitigation strategies, considering urban planning approaches, green infrastructure solutions, and the use of high-albedo materials. This comprehensive survey not only highlights the critical relationship between land use dynamics and UHIs but also provides a direction for future research in computational intelligence-driven urban climate studies.
Liu, Chao (59489036700); Lu, Siyu (57852760600); Tian, Jiawei (57211483796); Yin, Lirong (56539210400); Wang, Lei (57070565000); Zheng, Wenfeng (15129182700)
Research Overview on Urban Heat Islands Driven by Computational Intelligence
2024
10.3390/land13122176
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213243296&doi=10.3390%2fland13122176&partnerID=40&md5=c14c8083b7e6e02e1b1673ec63c105f1
School of Automation, University of Electronic Science and Technology of China, Chengdu, 610054, China; Department of Computer Science and Engineering, Hanyang University, Ansan, 15577, South Korea; Department of Geography & Anthropology, Louisiana State University, Baton Rouge, 70803, LA, United States
All Open Access; Gold Open Access
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