scholarly journals Spatio-Temporal Features of Urban Heat Island and Its Relationship with Land Use/Cover in Mountainous City: A Case Study in Chongqing

2018 ◽  
Vol 10 (6) ◽  
pp. 1943 ◽  
Author(s):  
Chunxia Liu ◽  
Yuechen Li
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Heat Island ◽  
Temporal Features ◽  
Urban Heat ◽  
Spatio Temporal

scholarly journals A Spatio-Temporal Bayesian Model for Estimating the Effects of Land Use Change on Urban Heat Island

2019 ◽  
Vol 8 (12) ◽  
pp. 522 ◽  
Author(s):  
Xin Liu ◽  
Zuolin Xiao ◽  
Rui Liu
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Southwest China ◽  
Regional Scale ◽  
Heat Island ◽  
Bayesian Hierarchical ◽  
Temporal Autocorrelation ◽  
Urban Heat ◽  
Spatio Temporal ◽  
The Difference

The urban heat island (UHI) phenomenon has been identified and studied for over two centuries. As one of the most important factors, land use, in terms of both composition and configuration, strongly influences the UHI. As a result of the availability of detailed data, the modeling of the residual spatio-temporal autocorrelation of UHI, which remains after the land use effects have been removed, becomes possible. In this study, this key statistical problem is tackled by a spatio-temporal Bayesian hierarchical model (BHM). As one of the hottest areas in China, southwest China is chosen as our study area. Results from this study show that the difference of UHI levels between different cities in southwest China becomes large from 2000 to 2015. The variation of the UHI level is dominantly driven by temporal autocorrelation, rather than spatial autocorrelation. Compared with the composition of land use, the configuration has relatively minor influence upon UHI, due to the terrain in the study area. Furthermore, among all land use types, the water body is the most important UHI mitigation factor at the regional scale.

scholarly journals Mapping the Influence of Land Use/Land Cover Changes on the Urban Heat Island Effect—A Case Study of Changchun, China

2017 ◽  
Vol 9 (2) ◽  
pp. 312 ◽  
Author(s):  
Chaobin Yang ◽  
Xingyuan He ◽  
Fengqin Yan ◽  
Lingxue Yu ◽  
Kun Bu ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Heat Island ◽  
Urban Heat Island Effect ◽  
Land Cover Changes ◽  
Heat Island ◽  
Land Use Land Cover ◽  
Island Effect ◽  
Urban Heat

scholarly journals Analysis of the Impact of Land Use on Spatiotemporal Patterns of Surface Urban Heat Island in Rapid Urbanization, a Case Study of Shanghai, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1171 ◽  
Author(s):  
Hongyu Du ◽  
Fengqi Zhou ◽  
Chunlan Li ◽  
Wenbo Cai ◽  
Hong Jiang ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Land Surface ◽  
Agricultural Land ◽  
Heat Island ◽  
Rapid Urbanization ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
The Impact

In the trend of global warming and urbanization, frequent extreme weather influences the life of citizens seriously. Shanghai, as a typical mega-city in China that has been successful in urbanization, suffers seriously from the urban heat island (UHI) effect. The research concentrates on the spatial and temporal pattern of surface UHI and land use. Then, the relation between them are further discussed. The results show that for the last 15 years, the UHI effect of Shanghai has been increasing continuously in both intensity and area. The UHI extends from the city center toward the suburban area. Along with the year, the ratio in area of Agricultural Land (AL), Wetland (WL), and Bare Land (BL) has decreased. On the contrary, Construction Land (CL) and Green Land (GL) have increased. The average land surface temperature (LST) rankings for each research year from high to low were all CL, BL, GL, AL, and WL. CL contributed the most to the UHI effect, while WL and GL contributed the most to mitigate the UHI. The conclusion provides practical advice aimed to mitigate the UHI effect for urban planning authorities.

scholarly journals Spatio-temporal Features of Urban Heat Island and its Relationship with Land Use/Cover in Mountainous City: A Case Study in Chongqing

2018 ◽  
Author(s):  
Chunxia Liu ◽  
Yuechen Li
Keyword(s):  
Urban Heat Island ◽  
Land Surface ◽  
Urban Landscape ◽  
Remote Sensing Data ◽  
Rate Of Change ◽  
Heat Island ◽  
Spatial And Temporal Patterns ◽  
Temporal Features ◽  
Urban Heat ◽  
Spatio Temporal

The urban heat island (UHI) becomes more and more serious with the acceleration of urbanization. Many researchers have shown interest in studying the UHI by using remote sensing data. But these studies rarely examine the mountainous cities. The studies on UHI in mountainous cities often used empirical parameters to estimate the land surface temperature (LST), and lacked satellite-ground synchronous experiment to test the accuracy. This paper revised the parameters in mono-window algorithm used to retrieve the LST according to the characteristics of mountainous cities. This study examined the spatial and temporal patterns of the UHI intensity in Chongqing, a typical mountainous city, and its relationship with land cover from 2007 to 2011 based on the Landsat TM data and the improved method. The accuracy of the LST derivation increased by about 1°C compared to the traditional method. The high LST areas increased and extended from the downtown to suburban area each year, but the rate of change decreased. The UHI is dramatically impacted by the rivers. There is a good relationship between the urban sprawl and the UHI. The LST was reduced by about 1°C within a 300m distance from large urban fringe green spaces. The urban landscape parks had a strong effect relieving the UHI at a 100m distance. The LST was reduced by about 0.5°C. The study greatly improves the accuracy of LST derivation, and provides a reliable parameters for the UHI researched in mountainous city.

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