Diurnal and Seasonal Variations in the Effect of Urban Environmental Factors on Air Temperature: A Consecutive Regression Analysis Approach

Abstract

This study investigates the diurnal and seasonal variations in the effect of environmental features on air temperature in Seoul, Korea. We expect that this study will lead to the identification of factors that can be applied for urban heat island mitigation strategies in summer without leading to an unintended result in winter. As our dependent variable, we employed the smoothed 31-day moving average of air temperatures, where we controlled the seasonal variation by normalizing the values observed from 247 automatic weather stations (AWS) from 2015 to 2016. Subsequently, we conducted consecutive log–log regression analyses of each day to examine patterns of change in regression coefficients and the significance of each independent variable. For independent variables, we applied built environment features including albedo, land-use, average building floors, the sky view factor, and green and water areas. This study provides analytical results regarding the relationship between environmental factors and air temperature. This study also addresses imperative issues for planners, especially regarding albedo, wind path, building geometry, and land use types. Finally, this study gives useful insights for managing the diurnal and seasonal variations of urban thermal environment in the mega-city.

Association between Surface Air Temperature And Land Use On The Campus Scale

“…In this research, farm is the least contributor to hightemperature among nonBuiltup land use. The result confirms that water body increases the temperature in the daytime (Ha et al, 2020;Saavedra et al, 2020). Water body is good in enhancing the beauty of the scenery but is bad in decreasing the surface air temperature.…”

“…Builtup land use contributes to high surface air temperature depends on anthropogenic activities and its vegetation density (Fauzi et al, 2019). It confirms that residential areas are the top contributors to hightemperature (Ha et al, 2020). In brief, the Builtup land uses have strong positive correlation with surface air temperature (Rasul, 2020).…”

“…It reflects the one close to temperature highest peak hour (between noon and afternoon) and increases the temperature of its Settlement contributes more than at all times except at the noon. Road hightemperature depends Ha et al, 2020). The traffic is less in the morning and more in the noon and the Alif and Silaen, 2020) in the same boat k ranking in all day.…”

“…Class building is the least contributor among built body is the biggest contributor plantation among nonbuilt the sunlight especially the one close to temperature highest peak hour (between noon and afternoon) (Lakitan, 2002) and increase surrounding. Settlement contributes more than dormitory at all times except at network contribution to high on the traffic (Ha et al, 2020 the morning and more in the noon and the afternoon (Alif and Silaen, 2020 with the road network ranking in all day. mostly on farm land use with less anthropogenic activities in the afternoon.…”

Effects of COVID-19 Restriction Policies on Urban Heat Islands in Some European Cities: Berlin, London, Paris, Madrid, and Frankfurt

“…Most research conducted so far on the UHI has examined the factors affecting their formation and their effects on urban health and environmental quality [ 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. They have also explored the relationship between the formation and intensity of UHI and the set of urban physical variables in detail [ 37 , 38 , 39 ].…”