Simulation of urban surface temperature and surface heat balance in the Tokyo metropolitan area
•A method for simulating urban surface temperature and heat balance is proposed.•Satellite-derived temperatures were incorporated into the heat balance simulation.•Heat balance was calculated using physical simulation rather than empirical formulae.•The parameters of thermal inertia and evaporation...
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Veröffentlicht in: | Sustainable cities and society 2024-10, Vol.112, p.105596, Article 105596 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •A method for simulating urban surface temperature and heat balance is proposed.•Satellite-derived temperatures were incorporated into the heat balance simulation.•Heat balance was calculated using physical simulation rather than empirical formulae.•The parameters of thermal inertia and evaporation efficiency were identified.•Surface temperature that is not limited to the satellite passage time was obtained.
This study aimed to propose a method for simulating ground surface temperature and surface heat balance using thermal infrared remote sensing and an urban surface heat balance model and to conduct a simulation in the Tokyo metropolitan area. Previous studies have typically employed ground surface temperatures obtained through satellite remote sensing to analyze urban thermal environments. However, these studies were limited to using surface temperature data available only at the time of satellite passage. Therefore, in this study, we conducted a simulation for the Tokyo metropolitan area by integrating a one-dimensional heat balance model with ground surface temperatures observed by satellites. The novelty of this study lies in the utilization of parameters related to heat balance obtained through calculations of physical processes, as opposed to relying on empirical formulas or parameters. Consequently, realistic ground surface characteristics, including parameters such as evaporation efficiency and thermal inertia essential for the simulation, were derived by this combined method. Furthermore, diurnal variations in ground surface temperature distributions were accurately represented by using realistic surface temperature data based on satellite remote sensing, considering the effect of heat storage in urban areas—an aspect challenging to reproduce using conventional local meteorological models. |
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ISSN: | 2210-6707 2210-6715 |
DOI: | 10.1016/j.scs.2024.105596 |