@article{135b2a9294f247d383a3e285e4e68690,
title = "Different explanations for surface and canopy urban heat island effects in relation to background climate",
abstract = "The background climatic conditions and urban morphology greatly influence urban heat island effects (UHIs), but one-size-fits-all solutions are frequently employed to mitigate UHIs. Here, attribution models for surface UHIs (SUHIs) and canopy UHIs (CUHIs) were developed to describe UHI formation. The contribution of factors to SUHIs and CUHIs shows similar dependencies on background climate and urban morphology. Furthermore, the factors that mainly contributed to CUHIs were more complex, and anthropogenic heat was the more critical factor. Influence from urban morphology also highlights that there is no one-size-fit-all solution for heat mitigation at the neighborhood. In particular, maintaining a low building density should be prioritized, especially mitigating CUHIs. Moreover, it is more effective to prioritize urban irrigation maintenance over increasing green cover in arid regions but the opposite in humid regions. The work can provide scientific evidence to support developing general and regional guidelines for urban heat mitigation.",
keywords = "Atmospheric science, Climatology, Urban forestry, Urban planning",
author = "Liu Yang and Qi Li and Qiong Li and Lei Zhao and Zhiwen Luo and Yan Liu",
note = "This research was supported by the National Natural Science Foundation of China (No. 51838011 , No. 52078407 , and No. 52178076 ). The weather data were kindly provided by China building energy efficiency design basic data platform ( https://buildingdata.xauat.edu.cn/ ), EnergyPlus ( https://energyplus.net/weather ), and China Meteorological Data Network ( http://data.cma.cn/ ). All the simulations were supported by the State Key Laboratory of Green Building. This research was supported by the National Natural Science Foundation of China (No. 51838011, No. 52078407, and No. 52178076). The weather data were kindly provided by China building energy efficiency design basic data platform (https://buildingdata.xauat.edu.cn/), EnergyPlus (https://energyplus.net/weather), and China Meteorological Data Network (http://data.cma.cn/). All the simulations were supported by the State Key Laboratory of Green Building. Y.L. and L.Y. conceptualized the research and designed the research framework; Q.L. Qiong Li, and Y.L. developed the model, and Q.L. conducted the simulation studies; Q.L. and Y.L. performed the data analysis; L.Z. and Z.L. contributed ideas to the data analysis; Q.L. and Y.L. performed the model validation; Q.L. and Y.L. drafted the manuscript, with discussions and contributions from Qiong Li, L.Y. Z.L. and other co-authors. The authors declare no competing interests.",
year = "2024",
month = mar,
day = "15",
doi = "10.1016/j.isci.2024.108863",
language = "English (US)",
volume = "27",
journal = "iScience",
issn = "2589-0042",
publisher = "Elsevier Inc.",
number = "3",
}