Spatiotemporal Impact of Urbanization on Urban Heat Island and Urban Thermal Field Variance Index of Tianjin City, China

Abstract

The rapid infrastructure development in densely populated areas has had several negative impacts. Increases in urbanization have led to increased LST, and urban ecological systems have been negatively affected. Urban heat islands (UHIs) can be mitigated by understanding how current and future LST phenomena are linked to changes in landscape composition and land use cover (LUC). This study investigated the multi-scale spatial analysis of LUC and LST in Tianjin using remote sensing and GIS data. We used Landsat data from 2005 to 2020 to examine the effects of LUC on LST in urban agglomeration. According to the Urban Thermal Field Variance Index (UTFVI), the city’s ecological evaluation was carried out. Results show that changes in LUC and other anthropogenic activities affect the spatial distribution of LST. For the study years (2004–2009), the estimated mean LST in Tianjin was 25.32 °C, 26.73 °C, 27.62 °C, and 27.93 °C. Between LST and urban areas with other infrastructures, and NDBI, significant positive correlation values were found about 0.53, 0.48, and 0.76 (p < 0.05), respectively. Temperatures would almost certainly increase by 3.87 °C to 7.26 °C as a result of decreased plant cover and increased settlements. These findings strongly imply a correlation between LST and the vegetation index. Between 2005 and 2020, the anticipated increase in LST of 3.39 °C is expected to harm urban environmental health. This study demonstrates how Tianjin and other cities can achieve ecological sustainability.

Urban Ecological Security Assessment Based on Sentinel-2A and Landsat 8 Image Data: A Case Study in Surakarta City and its Surroundings

“…Conversely, outside urban residential areas, the UTFVI value increases, signifying an improvement in thermal comfort levels. In a spatiotemporal context, UTFVI can demonstrate how the increase in building density in metropolitan areas contributes to the deterioration and warming of the ecosystem [54]. The dense road network in this area indicates significant activity.…”

Determining UHI Effect by Remote Sensing Method in Bolu City Centre, Turkey

“…Factors Jianjun et al, 2005;Wu et al, 2014;Lin & Lin, 2016;Owen et al, 1998Soil, slope, water sources, vegetation Oke (1988 Urban geometry, urban cover, urban metabolism Oke, 1973;Montávez et al, 2000 Land-use change Liu et al, 2015;Ullah et al, 2022 Urban landscape Kohl, 1999;Hais & Kucera, 2009;Beltrami, 2005;Luhar, 2006;Yılmaz et al, 2016;Yıldız et al, 2019 Industrial development, population density, topography and meteorology The urban canyon, which is created a morphology of the city, affects heat loss by reducing the view factor of the sky in it. Some researches shows that long structures and narrow canyons reduce the sky aspect factor creating high hot concentrations due to cool day and energy storage at night (McPherson et al, 1994;Bosselmann et al, 1995, Yang et al, 2016Tonyaloğlu, 2019).…”

“…Further research highlights that there is a versatile link between landscape pattern and UHI from the ground to the global scale (Liu et al, 2015;Ullah et al, DOI: 10.15320/ICONARP.2022.223 2022. Built-up areas and barren terrain increase the UHI effect while green areas and water surfaces reduce the UHI effect (Zhong et al, 2017;Sannigrahi et al, 2017;Ullah et al, 2022). Therefore, the industrial development of a city, population size, topographic status, meteorological conditions and physical macroform have a significant impact on the UHI effect (Kohl, 1999;Hais & Kucera, 2009;Beltrami, 2005;Luhar, 2006;Yılmaz et al, 2016;Yıldız et al, 2019).…”

Analysis of the effect of distance from the beach and elevation on surface urban heat island in Makassar city and its surroundings

“…There have been many studies on SUHI, many of which use LST obtained through thermal channels of remote sensing imagery 8 . These studies discuss many aspects, one of which is how changes in land use cover affect changes in SUHI, such as those conducted by 9,10 .…”

“…These studies discuss many aspects, one of which is how changes in land use cover affect changes in SUHI, such as those conducted by 9,10 . Other studies try to see the spatiotemporal pattern of SUHI distribution in various regions as conducted by 3,8,11 . Other studies also examine the use of thermal indices to see SUHI conditions quantitatively, therefore SUHI effect can be measured in a certain scale, as conducted by 6,[12][13][14][15] .…”