Urban microclimate and its impact on built environment – A review. Yang, S., Wang, L. (., Stathopoulos, T., & Marey, A. M. Building and Environment, 2023. ![Urban microclimate and its impact on built environment – A review [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Increasing urbanization and population growth have brought attention to urban microclimates in recent years. The study on urban microclimate and its impact on the built environment is gaining momentum. A growing number of researchers have examined the relationship between human activity and the immediate surroundings to reduce adverse impacts on the environment and climate. This paper presents the latest progress in urban microclimate research on urban wind and thermal environment, covering traditional methods, including field measurements, wind tunnel modeling, and CFD simulations, as well as emerging methods, such as artificial intelligence or data-driven models. Among the publications reviewed, the topics include isothermal scenarios that neglected thermal aspects (e.g., urban wind energy, wind comfort), as well as thermal scenarios (e.g., urban heat islands and outdoor thermal comfort). In the review, it was found that CFD has been widely applied due to its well-developed nature. In addition to field measurements, new techniques (such as satellite and thermal imaging) provide valuable validation data for CFD and training data for artificial intelligence applications. In isothermal scenarios, wind tunnel modeling has been successfully applied. However, thermal scenarios present significant challenges. In addition, urban data-driven models have emerged with promising results, but systematic investigations have been limited. In this paper, we identify future research needs for urban microclimates based on an overview of recent progress.
© 2023 Elsevier Ltd
@article{20231814047491 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2025 Elsevier Inc.},
copyright = {Compendex},
title = {Urban microclimate and its impact on built environment – A review},
journal = {Building and Environment},
author = {Yang, Senwen and Wang, Liangzhu (Leon) and Stathopoulos, Ted and Marey, Ahmed Moustafa},
volume = {238},
year = {2023},
issn = {03601323},
abstract = {<div data-language="eng" data-ev-field="abstract">Increasing urbanization and population growth have brought attention to urban microclimates in recent years. The study on urban microclimate and its impact on the built environment is gaining momentum. A growing number of researchers have examined the relationship between human activity and the immediate surroundings to reduce adverse impacts on the environment and climate. This paper presents the latest progress in urban microclimate research on urban wind and thermal environment, covering traditional methods, including field measurements, wind tunnel modeling, and CFD simulations, as well as emerging methods, such as artificial intelligence or data-driven models. Among the publications reviewed, the topics include isothermal scenarios that neglected thermal aspects (e.g., urban wind energy, wind comfort), as well as thermal scenarios (e.g., urban heat islands and outdoor thermal comfort). In the review, it was found that CFD has been widely applied due to its well-developed nature. In addition to field measurements, new techniques (such as satellite and thermal imaging) provide valuable validation data for CFD and training data for artificial intelligence applications. In isothermal scenarios, wind tunnel modeling has been successfully applied. However, thermal scenarios present significant challenges. In addition, urban data-driven models have emerged with promising results, but systematic investigations have been limited. In this paper, we identify future research needs for urban microclimates based on an overview of recent progress.<br/></div> © 2023 Elsevier Ltd},
key = {Computational fluid dynamics},
%keywords = {Artificial intelligence;Atmospheric temperature;Infrared imaging;Isotherms;Population statistics;Urban growth;Wind power;Wind tunnels;},
%note = {Built environment;Computational fluid dynamic;Data-driven model;Field measurement;Thermal;Urban heat island;Urban microclimate;Wind tunnel experiment;Wind tunnel models;},
URL = {http://dx.doi.org/10.1016/j.buildenv.2023.110334},
}
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