Decoding Tianjin: How Does Urban Form Shape the Diurnal Cycle of Surface Temperature?

Ting Wei, Wei Li () and Juan Tang
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Ting Wei: School of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China
Wei Li: School of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China
Juan Tang: School of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China

Sustainability, 2024, vol. 16, issue 23, 1-27

Abstract: In the context of global climate change and the increasing severity of the urban heat island effect, it is particularly important to study the spatial variation mechanism of urban land surface temperature (LST). The LST data provided by ECOSTRESS offer a new perspective for deepening our understanding of the diurnal cycle and spatial variation of urban LST. In this study, based on a block scale, Tianjin is divided into nine block types, and a multi-scale geographic regression weighting (MGWR) model is used to comprehensively explore the relative contributions of urban 2D and 3D landscape indicators of different block types to the spatial changes in diurnal urban LST cycles. The results indicate that ① the thermal effect during the daytime is mainly influenced by the building density, while at night, it is more influenced by the building height and the heat retention effect; ② the building indicator and the water-body indicator had the most significant effect on surface temperature at different observation times; ③ the influence of urban morphology on land surface temperature shows significant spatial non-stationarity across different block types. This study enhances the understanding of the mechanisms driving urban heat island formation and provides a scientific basis for urban authorities to develop more effective urban planning and heat island mitigation strategies.

Keywords: block scale; ECOSTRESS; urban landscape indicators; MGWR model; Tianjin city (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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