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Applying a diagnostic equation for maximum urban heat island intensity based on local climate zones for Guangzhou, China
Abstract The Urban Heat Island (UHI) is a widely studied phenomenon, characterized by unique spatiotemporal variations depending on urban structure. Seeking a simple and rapid method to monitor the Urban Heat Island Intensity () for local urban area with multiple inner morphology is essential for energy saving, citizen health, and urban planning. Hence, this study proposed a diagnostic equation for daily maximum urban heat island intensity () based on routine meteorological data and basic urban properties. The applicability of equation, previously proposed by European scholars, was evaluated based on Local Climate Zone (LCZ) scheme by a long-term temperature observation experiment conducted in Guangzhou. Overall, the underestimation of was caused by LCZ1,2,3,4, in which the morphological parameters were outside the application range of the original equation. Then, a revised equation was proposed by adding the impervious surface fraction (ISF) in morphological parameters based on the spatiotemporal variance of for different LCZ. The revised equation was evaluated against a year dataset and revealed a higher accuracy than the original one with a decrease of RMSE and MEAE at 0.4K, 0.15K, an increase of dr at 0.1. Moreover, the efficiency of the equations for all the seasons and LCZs were elucidated. In summary, the results can be used as a tool for monitoring the development of UHI in outdoor temperature studies.
Graphical abstract Display Omitted
Highlights Diagnostic equation for maximum urban heat island intensity (UHII) is proposed. Morphological characteristics of different Local Climate Zone (LCZ) were used. Efficiency of equation for all the seasons and LCZs was elucidated. Significant variance for UHII in spatiotemporal dimension is observed.
Applying a diagnostic equation for maximum urban heat island intensity based on local climate zones for Guangzhou, China
Abstract The Urban Heat Island (UHI) is a widely studied phenomenon, characterized by unique spatiotemporal variations depending on urban structure. Seeking a simple and rapid method to monitor the Urban Heat Island Intensity () for local urban area with multiple inner morphology is essential for energy saving, citizen health, and urban planning. Hence, this study proposed a diagnostic equation for daily maximum urban heat island intensity () based on routine meteorological data and basic urban properties. The applicability of equation, previously proposed by European scholars, was evaluated based on Local Climate Zone (LCZ) scheme by a long-term temperature observation experiment conducted in Guangzhou. Overall, the underestimation of was caused by LCZ1,2,3,4, in which the morphological parameters were outside the application range of the original equation. Then, a revised equation was proposed by adding the impervious surface fraction (ISF) in morphological parameters based on the spatiotemporal variance of for different LCZ. The revised equation was evaluated against a year dataset and revealed a higher accuracy than the original one with a decrease of RMSE and MEAE at 0.4K, 0.15K, an increase of dr at 0.1. Moreover, the efficiency of the equations for all the seasons and LCZs were elucidated. In summary, the results can be used as a tool for monitoring the development of UHI in outdoor temperature studies.
Graphical abstract Display Omitted
Highlights Diagnostic equation for maximum urban heat island intensity (UHII) is proposed. Morphological characteristics of different Local Climate Zone (LCZ) were used. Efficiency of equation for all the seasons and LCZs was elucidated. Significant variance for UHII in spatiotemporal dimension is observed.
Applying a diagnostic equation for maximum urban heat island intensity based on local climate zones for Guangzhou, China
Chen, Guang (author) / He, Hao (author) / Chen, Yiqi (author) / Zhao, Lihua (author) / Cai, Yunnan (author) / Ma, Yuan (author)
Building and Environment ; 228
2022-11-15
Article (Journal)
Electronic Resource
English
Assessing the Air Humidity Characteristics of Local Climate Zones in Guangzhou, China
| DOAJ | 2024