干旱区生态环境知识资源中心(Arid): Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities

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DOI	10.1080/15481603.2021.1940739
	Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities
	Mohammad, Pir; Goswami, Ajanta
通讯作者	Goswami, A (corresponding author), IIT Roorkee, Dept Earth Sci, Roorkee, Uttarakhand, India.
来源期刊	GISCIENCE & REMOTE SENSING
ISSN	1548-1603
EISSN	1943-7226
出版年	2021-07
英文摘要	Surface urban heat island (SUHI) is a major anthropogenic alteration of Earth's surface and can influence the local thermal environment by altering the surface energy flux balances. Researchers have paid much attention to SUHI studies in the last decades; still, its geospatial variability over a larger area is poorly understood. Detailed research is required to understand the mechanism and dynamics of SUHI along with its different driving variables. Hence in this study, we quantified the diurnal, seasonal, and interannual variation of SUHI intensity (SUHII) over 150 major Indian cities situated over different climatic zones using MODIS data from 2003 to 2018. The results reveal urban cool islands occurrence over the hot desert, hot steppe, and tropical monsoon climatic zone during daytime in both summer (-0.25 to -0.17 degrees C) and winter (-0.33 to 0.17 degrees C) season. In contrast, nighttime SUHII shows clear evidence of positive urban heat island irrespective of climatic region and seasonal variation of 0.48-1 degrees C in summer and 0.46-1.32 degrees C in winter is seen. The Mann-Kendall and Sen's slope estimator tests are used to detect the trend of the SUHII during the study period, which suggests a higher percentage of cities showing an increasing trend of SUHII for urban heat islands than the cities of the urban cool island. Pearson's correlation and stepwise multiple linear regression model determine the possible SUHII controlling variable over different climatic zones. During the daytime, the SUHII's distribution is controlled by vegetation, evapotranspiration, and thermal inertia in the summer/winter season. Whereas, it is linked tightly to built-up intensity, white sky albedo, and thermal inertia in both seasons during nighttime. Overall, we found that the stepwise multiple linear regression model can explain the SUHII variance more in the daytime (>0.8) than in nighttime (>0.7, except for tropical cities) and more in understanding the SUHII behaviors for cool cities as compared to hot cities. Moreover, this study also quantifies the significant control of thermal inertia and soil moisture in understating urban heat and cool island behavior over different climatic zones.
英文关键词	Surface urban heat island climatic zone driving variables Indian cities thermal inertia stepwise multiple linear regression model
类型	Article ; Early Access
语种	英语
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000679911400001
WOS关键词	APPARENT THERMAL INERTIA ; LAND-SURFACE ; SATELLITE DATA ; TEMPERATURE ; IMPACTS ; MODIS ; CITY ; PATTERN ; ENERGY ; CONFIGURATION
WOS类目	Geography, Physical ; Remote Sensing
WOS研究方向	Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363446
作者单位	[Mohammad, Pir; Goswami, Ajanta] IIT Roorkee, Dept Earth Sci, Roorkee, Uttarakhand, India
推荐引用方式 GB/T 7714	Mohammad, Pir,Goswami, Ajanta. Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities[J],2021.
APA	Mohammad, Pir,&Goswami, Ajanta.(2021).Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities.GISCIENCE & REMOTE SENSING.
MLA	Mohammad, Pir,et al."Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities".GISCIENCE & REMOTE SENSING (2021).