Spatiotemporal patterns and drivers of summer heat island in Beijing-Tianjin-Hebei Urban Agglomeration, China

Abstract

The surface urban heat island (SUHI) phenomenon, arising from rapid urbanization, has become a crucial research topic across various fields due to its adverse impacts on the natural environment and human well-being. This study investigated the spatiotemporal patterns of summer SUHI from 2001 to 2018 in Beijing-Tianjin-Hebei (BTH) urban agglomeration, China. On this basis, it examined the influence of natural and socio-economic factors on summer SUHI using the spatial regression model and ordinary regression model. We found that the mean summer SUHI intensity in August was the highest at 0.76℃, followed by July and June (0.57℃ and -0.08℃, respectively). The spatiotemporal trend analysis revealed that the summer SUHI intensity of more than one-third of districts and counties (68 of 200) had significant increasing trends from 2001 to 2018. The largest significant increasing trend was observed in Dongli District, Tianjin (0.17℃/year). Besides, most of the high SUHI were dispersedly located in the southeast plain areas, while low SUHI were mainly congregated in the northwest mountain areas. For the relationships between summer SUHI intensity and drivers, different models have different goodness of fit. Compared with the ordinary regression model, the spatial regression model performed better. And the optimal model indicated that the proportion of impervious surface and air temperature should play the leading role in the summer UHI intensity. The findings are of great help for understanding the dynamic features of the summer SUHI and provide a theoretical basis for optimizing urban agglomeration planning.Index Terms-Summer urban heat island; temporal characterristics; spatial patterns; influencing factors; Beijing-Tianjin-Hebei urban agglomerations

A Study on the Dynamic Relationship between Landscape Information and Heat Island Intensity of Urban Growth Patterns—A Case of Five Cities in the Beijing–Tianjin–Hebei City Cluster

“…Second, there is a typical urban class division within the Beijing-Tianjin-Hebei urban agglomeration, with a clear classification system of cities at all levels consisting of Beijing, a megacity, as the first echelon, and Shijiazhuang and Tianjin as the second echelon. The development of the urban agglomeration has not yet reached a large contiguous belt such as that of the Yangtze River Delta, Guangdong, Hong Kong, and Macao, and the SUHI is still in faceted separation mode [41], which facilitates the study of SUHII differences among different city sizes. Third, the factors that influence urban heat islands such as climate, topography, and overall urban morphology were controlled [42][43][44], as the major cities within the Beijing-Tianjin-Hebei urban agglomeration selected in this study have relatively similar geomorphological conditions in terms of the difference between the highest elevation and the lowest elevation.…”

Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective

“…LST data can be acquired through the retrieval of remote sensing images. Previous studies present that Moderate Resolution Imaging Spectroradiometer (MODIS) data have been widely used in LST inversion research [2,40,41]. The data used in the study was derived from 8-day MODIS daytime LST data (MOD11A2) products based on a split-window algorithm.…”

Assessment of Summer Regional Outdoor Heat Stress and Regional Comfort in the Beijing‐Tianjin‐Hebei Agglomeration Over the Last 40 Years

“…In areas with increasing population and economic density, and in which a larger amount of heat accumulates due to various anthropogenic factors, cities, and urban agglomerations are prone to the emergence of heat‐related hazards (Geletič et al., 2020; J. Wang et al., 2021; Yao et al., 2022). For example, the heat island effect makes bioclimatic conditions more unfavorable in urban areas (Chen et al., 2020; Hou et al., 2021; Zhao et al., 2022). That is why the issue of summertime OTC in urban areas has become the subject of numerous studies (Milovanović, 2020).…”