干旱区生态环境知识资源中心(Arid): Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains

Arid

DOI	10.3390/su141710663
	Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains
	Liang, Hongwu; Kasimu, Alimujiang; Ma, Haitao; Zhao, Yongyu; Zhang, Xueling; Wei, Bohao
通讯作者	Kasimu, A
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2022
卷号	14 期号:17
英文摘要	Changes in land surface temperature (LST) can have serious impacts on the water cycle and ecological environment evolution, which in turn threaten the sustainability of ecosystems. The urban agglomeration on the northern slopes of the Tianshan Mountains (UANSTM) is located in the arid and semi-arid regions of northwest China, with an extremely fragile ecological environment and sensitive to climate change. However, studies on the LST of the UANSTM have not received much attention. Therefore, this study explored the spatial distribution pattern, fluctuation characteristics, and influencing factors of the LST of the UANSTM from 2005 to 2021 based on MODIS time series LST data and the geo-detector model with optimal parameters. The results show that the UANSTM is dominated by medium- and high-temperature classes, with high- and extremely high-temperature classes clustered in Turpan City. The daytime and nighttime LST patterns are significantly different, with a typical daytime cold island and nighttime heat island feature in the oasis region. During 2005-2021, LST fluctuated greatly in the northwestern part of the UANSTM, with LST showing an increasing trend during both daytime and nighttime, and the warming rate was more intense during daytime than nighttime. The increasing trend of LST in Urumqi, Changji Hui Autonomous Prefecture, Shihezi, and Wujiaqu is very significant and will remain consistent in the future. Precipitation, DEM, and AOD are the most important influencing factors of LST in the UANSTM, where precipitation and DEM are negatively correlated with LST, and AOD is positively correlated with LST. Land cover factors (LULC, NDVI,, and NDBSI) are the next most influential, and socioeconomic factors (NTL, GDP, and POP) are the least influential. The results of this study can provide a scientific reference for the conservation and sustainable development of the ecological environment of the UANSTM.
英文关键词	land surface temperature urban agglomeration on the northern slope of the Tianshan Mountains influencing factors geo-detector model
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000851954300001
WOS关键词	HEAT-ISLAND ; SPATIAL-DISTRIBUTION ; THERMAL ENVIRONMENT ; SEASONAL CONTRAST ; AIR-TEMPERATURE ; IMPACTS ; CHINA ; VALIDATION ; RESOLUTION ; EXPANSION
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394634
推荐引用方式 GB/T 7714	Liang, Hongwu,Kasimu, Alimujiang,Ma, Haitao,et al. Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains[J],2022,14(17).
APA	Liang, Hongwu,Kasimu, Alimujiang,Ma, Haitao,Zhao, Yongyu,Zhang, Xueling,&Wei, Bohao.(2022).Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains.SUSTAINABILITY,14(17).
MLA	Liang, Hongwu,et al."Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains".SUSTAINABILITY 14.17(2022).