Monitoring the Detailed Dynamics of Regional Thermal Environment in a Developing Urban Agglomeration

Liu, Yue; Hui, Li; Gao, Peng; Zhong, Cheng

doi:10.3390/s20041197

Cited by 14 publications

(7 citation statements)

References 47 publications

(65 reference statements)

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“…These results might because the BTH integration policy proposed by the government has accelerated overall socioeconomic development by establishing better communication networks, modern highways and investing more educational resources, which directly facilitated the development of Langfang, Baoding, Handan, Xingtai, etc. [54]. From 2001 to 2018, the expansion of built-up areas in urban agglomeration has also been evidently observed.…”

Section: A Temporal Trends Of the Summer Suhi In Bth During 2001-2018mentioning

confidence: 96%

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

Hou

Yue

Xue

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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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

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Section: A Temporal Trends Of the Summer Suhi In Bth During 2001-2018mentioning

confidence: 96%

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

Hou

Yue

Xue

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…From 1950 to the present, theories on the interaction between urban roads and urban society and other elements mainly focused on the biological environment and landscape [1][2][3][4][5][6], urban agglomeration and urbanization [7][8][9][10][11][12], industrial transformation [13][14][15][16], land agglomeration use [17][18][19][20][21], real estate development [22][23][24][25][26][27][28], location [29][30][31][32][33][34][35][36][37], mixed land use [38][39][40][41], and property right [42,43]. Based on quantitative models, scholars have conducted a lot of research mainly on the interaction between economy, social demand [44,45], land and transportation [46].…”

Section: Literature Reviewmentioning

confidence: 99%

The External Characteristics and Mechanism of Urban Road Corridors to Agglomeration: Case Study for Guangzhou, China

Jia

Luo

et al. 2022

Land

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Existing research on the agglomeration effect of urban roads mainly focuses on land use but ignores the differences between various locations, types, and directions of roads. Few studies have been conducted on the built buildings which can represent the actual utility, and land use as a kind of government authorization may not necessarily represent actual needs. This research provides an analytical framework and an empirical analysis to study the differences in impacts of different urban roads on land use and to identify its internal dynamic mechanism. Guangzhou, being the research object, is one of the five major central cities in China. By using the techniques of GIS and SPSS, together with the methods of corridor effect, correlation analysis, and geographic detector, we analyze the external characteristics of office buildings and land gathering along both sides of the roads, explore the urban characteristics of corridor effect, then analyze the relationship with urban traffic flow and bus network density in order to find out the internal motivation of corridor effect. The fundamental conclusion can be drawn that the corridor effect on the land used for commercial offices is mostly unnoticeable, and roads of different locations, types, and directions display various scope and intensity of corridor effects. The agglomeration power is mainly caused by private transportation and has no relationship with public transport. The article concludes the model of the corridor effect and provides some policy suggestions to the government in order to strengthen the linkage development of transportation and land and to promote the improvement of land use efficiency.

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“…The Spearman's correlation coefficient is an effective way to investigate the relationship between two variables (X and Y) without considering their distribution and sample size. It has been widely used in related studies [15,[71][72][73].…”

Section: Spearman's Correlation Coefficientmentioning

confidence: 99%

An Investigation on Shenzhen Urban Green Space Changes and Their Effect on Local Eco-Environment in Recent Decades

Liu

et al. 2021

Sustainability

Self Cite

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Rapid urbanization and population growth impact enormous pressures on urban natural, economic and social environments. The quantitative analysis of urban green space (UGS) landscape dynamics and their impact on the urban eco-environment is of great significance for urban planning and eco-environment protection. Taking Shenzhen as an example, the UGS landscape changes and their impact on urban heat islands (UHI), surface wetness, air pollution and carbon storage were comprehensively investigated with Landsat and MODIS images. Results showed a large number of lands transferring from UGS to non-UGS from 1978 to 2018, especially for cropland. Built-up regions have adverse influences on eco-environment factors, and then they suffer high SUHI and AOD and low humidity and carbon storage. The growth of built-up areas not only enlarges the area of SUHI, but also enhances the intensity of heat islands. On the contrary, UGS patches have beneficial influences on all eco-environment factors and then enjoy a better eco-environment, including low SUHII, high surface wetness, high carbon storage and low AOD. It is expected that this study could provide scientific support for UGS plans and for conserving and sustainable urban development for developing cities.

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Monitoring the Detailed Dynamics of Regional Thermal Environment in a Developing Urban Agglomeration

Cited by 14 publications

References 47 publications

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

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

The External Characteristics and Mechanism of Urban Road Corridors to Agglomeration: Case Study for Guangzhou, China

An Investigation on Shenzhen Urban Green Space Changes and Their Effect on Local Eco-Environment in Recent Decades

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