scholarly journals Spatio-Temporal Modeling of the Urban Heat Island in the Phoenix Metropolitan Area: Land Use Change Implications

2016 ◽  
Vol 8 (3) ◽  
pp. 185 ◽  
Author(s):  
Chuyuan Wang ◽  
Soe Myint ◽  
Zhihua Wang ◽  
Jiyun Song
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Urban Heat Island ◽  
Metropolitan Area ◽  
Heat Island ◽  
Temporal Modeling ◽  
Urban Heat ◽  
Spatio Temporal ◽  
Phoenix Metropolitan Area ◽  
The Phoenix

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 Impact of a Detailed Urban Parameterization on Modeling the Urban Heat Island in Beijing Using TEB-RAMS

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Lei Jiang ◽  
Lixin Lu ◽  
Lingmei Jiang ◽  
Yuanyuan Qi ◽  
Aqiang Yang
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Air Temperature ◽  
Metropolitan Area ◽  
Atmospheric Modeling ◽  
Anthropogenic Heat ◽  
Heat Island ◽  
Urban Heat ◽  
Four Levels ◽  
Geometric Morphology

The Town Energy Budget (TEB) model coupled with the Regional Atmospheric Modeling System (RAMS) is applied to simulate the Urban Heat Island (UHI) phenomenon in the metropolitan area of Beijing. This new model with complex and detailed surface conditions, called TEB-RAMS, is from Colorado State University (CSU) and the ASTER division of Mission Research Corporation. The spatial-temporal distributions of daily mean 2 m air temperature are simulated by TEB-RAMS during the period from 0000 UTC 01 to 0000 UTC 02 July 2003 over the area of 116°E~116.8°E, 39.6°N~40.2°N in Beijing. The TEB-RAMS was run with four levels of two-way nested grids, and the finest grid is at 1 km grid increment. An Anthropogenic Heat (AH) source is introduced into TEB-RAMS. A comparison between the Land Ecosystem-Atmosphere Feedback model (LEAF) and the detailed TEB parameterization scheme is presented. The daily variations and spatial distribution of the 2 m air temperature agree well with the observations of the Beijing area. The daily mean 2 m air temperature simulated by TEB-RAMS with the AH source is 0.6 K higher than that without specifying TEB and AH over the metropolitan area of Beijing. The presence of urban underlying surfaces plays an important role in the UHI formation. The geometric morphology of an urban area characterized by road, roof, and wall also seems to have notable effects on the UHI intensity. Furthermore, the land-use dataset from USGS is replaced in the model by a new land-use map for the year 2010 which is produced by the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS). The simulated regional mean 2 m air temperature is 0.68 K higher from 01 to 02 July 2003 with the new land cover map.

Using land use change trajectories to quantify the effects of urbanization on urban heat island

2014 ◽  
Vol 53 (3) ◽  
pp. 463-473 ◽  
Author(s):  
Huihui Feng ◽  
Xiaofeng Zhao ◽  
Feng Chen ◽  
Lichun Wu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Urban Heat Island ◽  
Heat Island ◽  
Change Trajectories ◽  
Urban Heat

scholarly journals Quantifying the contribution of land use change to surface temperature in the lower reaches of Yangtze River

2016 ◽  
Author(s):  
Xueqian Wang ◽  
Weidong Guo ◽  
Bo Qiu ◽  
Ye Liu ◽  
Jianning Sun ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Surface Temperature ◽  
Urban Heat Island ◽  
Human Activities ◽  
Land Surface ◽  
Yangtze River ◽  
Heat Island ◽  
Surface Parameters ◽  
Urban Heat

Abstract. Anthropogenic land use has significant impact on climate change. Located in the typical East Asian monsoon region, the land-atmosphere interaction in the lower reaches of Yangtze River is even more complicated due to intensive human activities and different types of land use in this region. To better understand these effects on microclimate change, we compare differences in land surface temperature (Ts) for three land types around Nanjing from March to August, 2013, and then quantify the contribution of land surface parameters to these differences (ΔTs) by considering the effects of surface albedo, roughness length, and evaporation respectively. The atmospheric background contribution to ΔTs is also considered based on differences in air temperature (∆Ta). It is found that the cropland cooling effect and urban heat island effect both are induced by significant human activities in this region but they have opposite impacts on Ts. Various changes in surface parameters affect radiation and energy distribution and eventually modify Ts. It is the evaporative cooling effect that plays the most important role in this region. Besides, the background atmospheric circulation is also an indispensable part in land-atmosphere feedback induced by land use change and reinforces both cropland cooling and urban heat island effects.

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