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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, Qian (58043907500); Yang, Shijie (59167076100); Chen, HeCheng (57203946435)
Global trends and hotspots in the study of the effects of PM2.5 on ischemic stroke
2024
10.1186/s41043-024-00622-3
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202738639&doi=10.1186%2fs41043-024-00622-3&partnerID=40&md5=2f80b4bf91836970169230f4633fc742
Cerebrovascular Disease Department, Gansu Provincial Hospital, No.204 West Donggang Road, Gansu Province, Lanzhou, 730000, China; Key Laboratory of Cerebrovascular Disease of Gansu Province, Gansu Provincial Hospital, Gansu, Lanzhou, China; The First Clinical Medical College of Lanzhou University, Lanzhou, China
All Open Access; Gold Open Access
Scopus
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