GIS-BASED SPATIAL ANALYSIS OF URBAN HEAT ISLAND IN FUKUOKA METROPOLITAN AREA

2018 ◽  
Vol 74 (5) ◽  
pp. I_1189-I_1194
Author(s):  
Yukun WANG ◽  
Akiko NISHIMURA ◽  
Yuji SUGIHARA ◽  
Guoyun ZHOU ◽  
Yukiko HISADA ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Urban Heat Island ◽  
Metropolitan Area ◽  
Heat Island ◽  
Urban Heat

scholarly journals The Urban Heat Island of the North-Central Texas Region and Its Relation to the 2011 Severe Texas Drought

2013 ◽  
Vol 52 (11) ◽  
pp. 2418-2433 ◽  
Author(s):  
A. M. E. Winguth ◽  
B. Kelp
Keyword(s):  
Urban Heat Island ◽  
Metropolitan Area ◽  
Remotely Sensed ◽  
Severe Drought ◽  
Positive Trend ◽  
Fort Worth ◽  
Heat Island ◽  
Rapid Urbanization ◽  
Maximum Heat ◽  
Urban Heat

AbstractHourly surface temperature differences between Dallas–Fort Worth, Texas, metropolitan and rural sites have been used to calculate the urban heat island from 2001 to 2011. The heat island peaked after sunset and was particularly strong during the drought and heat wave in July 2011, reaching a single-day instantaneous maximum value of 5.4°C and a monthly mean maximum of 3.4°C, as compared with the 2001–11 July average of 2.4°C. This severe drought caused faster warming of rural locations relative to the metropolitan area in the morning as a result of lower soil moisture content, which led to an average negative heat island in July 2011 of −2.3°C at 1100 central standard time. The ground-based assessment of canopy air temperature at screening level has been supported by a remotely sensed surface estimate from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite, highlighting a dual-peak maximum heat island in the major city centers of Dallas and Fort Worth. Both ground-based and remotely sensed spatial analyses of the maximum heat island indicate a northwest shift, the result of southeast winds in July 2011 of ~2 m s−1 on average. There was an overall positive trend in the urban heat island of 0.14°C decade−1 in the Dallas–Fort Worth metropolitan area from 2001 to 2011, due to rapid urbanization. Superimposed on this trend are significant interannual and decadal variations that influence the urban climate.

Investigating urban heat island through spatial analysis of New York City streetscapes

2019 ◽  
Vol 233 ◽  
pp. 972-992 ◽  
Author(s):  
Richard R. Shaker ◽  
Yaron Altman ◽  
Chengbin Deng ◽  
Eric Vaz ◽  
K.Wayne Forsythe
Keyword(s):  
New York ◽  
New York City ◽  
Spatial Analysis ◽  
Urban Heat Island ◽  
York City ◽  
Heat Island ◽  
Urban Heat

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.

Remote sensing evaluation of urban heat island and its spatial pattern of the Shanghai metropolitan area, China

2009 ◽  
Vol 6 (4) ◽  
pp. 413-420 ◽  
Author(s):  
Juan-juan Li ◽  
Xiang-rong Wang ◽  
Xin-jun Wang ◽  
Wei-chun Ma ◽  
Hao Zhang
Keyword(s):  
Remote Sensing ◽  
Spatial Pattern ◽  
Urban Heat Island ◽  
Metropolitan Area ◽  
Heat Island ◽  
Urban Heat
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