Monitoring the Spatiotemporal Dynamics of Urban Green Space and Its Impacts on Thermal Environment in Shenzhen City from 1978 to 2018 with Remote Sensing Data

2021 ◽  
Vol 87 (2) ◽  
pp. 81-89
Author(s):  
Yue Liu ◽  
Hui Li ◽  
Peng Gao ◽  
Cheng Zhong

In a developing city, urban green space (UGS) plays an increasingly significant role in improving the urban environment and beautifying the urban landscape. In the meantime, UGS has been substantially and frequently interfered with by human activities. Taking Shenzhen city (a great metropolis of China) as an example, this study investigated the spatio-temporal dynamics of UGS and its influence on the urban thermal environment with Landsat images. From 1978 to 2018, all croplands and more than 50% of water bodies disappeared, while the built-up area increased more than 6 times. The rapid expansion of impervious surface and loss of UGS led to the spread of a surface urban heat island. The study shows that UGS has a significantly mitigating impact on urban land surface temperature, with cold islands mainly located at city parks. The results will be of great significance for improving UGS management, alleviating the urban heat island effect, and establishing a sustainable eco-environment.

2018 ◽  
Vol 144 (2) ◽  
pp. 04018004 ◽  
Author(s):  
Soo-Young Moon ◽  
Jonghoon Kim ◽  
Wai K. O. Chong ◽  
Samuel T. Ariaratnam

Agromet ◽  
2006 ◽  
Vol 20 (1) ◽  
pp. 23 ◽  
Author(s):  
Sobri Effendy ◽  
A. Bey ◽  
A.F. M. Zain ◽  
I. Santoso

<p>This study attempts to develop a functional relationship between air temperature and urban green space using Landsat data. It also aims to estimate the contributions of various forcings, namely, urban green space, population density, urban area, and automobile densities on urban heat island. Subsequently, the impact of urban heat island on temperature humidity index will be assessed quantitatively, followed by surface energy budget analysis of Jabotabek area. Air temperature series are derived from Landsat data, including the NDVI which is used as the bases in generating urban green space of the study area. Principal Component Analysis is utilized in order to establish the relative importance of forcing variables on urban heat island; in order to simplify the structure of factor loadings a varimax rotation is carried out. It is found that air temperature and urban green space for the study area is best represented by a nonlinear equation when a maximum coefficient determination (R2adj) and a minimum standard deviation (S) are to be fulfilled. A 10 to 50% reduction in urban green space would bring air temperature to raise between 0,2 to 1,8 oC. It is interesting to note that this study reveals the same percentage increase in urban green space would only lower the temperature by 0,1 to 0,5 oC. Automobile density is found to be the most important forcing for urban heat island in Jakarta; on the other hand, urban green space is the most dominant forcing in Tangerang and Bekasi. Surface energy budget analysis indicated that the an increase of 1,0 oC in urban heat island would result in additional 80,3 and 69,0 Wm-2 sensible heat fluxes to submedium (G) and to air, respectively.</p>


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1197 ◽  
Author(s):  
Yue Liu ◽  
Hui Li ◽  
Peng Gao ◽  
Cheng Zhong

Many studies have revealed the characteristics and spatial-temporal dynamics of the thermal environment in specific cities or urban agglomerations (UA), as well as the associated determining factors. However, few studies focus on the changing relationships (the difference, distance, interaction, etc.) among inner cities’ heat islands in a UA, which represent not only the detailed dynamics of regional thermal environment (RTE), but also the changing competition and cooperation among cities in a developing UA. In this study, we used Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products to map and analyze the detailed dynamics of the Beijing-Tianjin-Hebei (BTH) UA thermal environment. From 2001 to 2015, the mean surface urban heat island intensity (SUHII) of the BTH increased significantly, and the surface urban heat islands (SUHIs) in the southern BTH have rapidly increased, expanded and connected, eventually forming a large heat islands agglomeration. According to correlation analysis, urban sprawl probably led to the expansion and enhance of SUHIs in the south plain, while the forest has significantly alleviated urban heat island effect in northern mountains. The results expose the detailed evolution process of BTH thermal environment, and the changing relationships among the inner cities. In a developing UA, mitigation solutions (e.g., ecological corridors or controlling energy consumption) are in demand to stop the formation of a great heat region.


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