干旱区生态环境知识资源中心(Arid): Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia

Arid

DOI	10.1016/j.jaridenv.2020.104415
	Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia
	Wang, Wei; Samat, Alim; Abuduwaili, Jilili; Ge, Yongxiao
通讯作者	Abuduwaili, J (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China.
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2021
卷号	186
英文摘要	Spatiotemporal variability in the land surface energy flux is largely and comprehensively affected by many factors, including land surface temperature (LST), land coverage, soil characteristics, terrain conditions, etc. In contrast with other climatic zones, arid and semiarid lands have fragile ecological environments that are more sensitive to land surface energy flux changes. In this study, we used MODerate Resolution Imaging Spectroradiometer (MODIS) LST products (2001-2015) for air temperature comparisons. Then, we investigated the spatiotemporal variation in LSTs in the Syr Darya Basin (SDB) during 2001-2015. More specifically, a new statistical model known as GeoDetector was adopted to analyze the driving factors controlling the spatiotemporal variation in LSTs. The result shows that the MODIS LST can provide a good estimation of air temperature, especially at night. The LST change rate can be considered as an important indicator of climate change (rapid warming at high altitudes) and human activities (increased water consumption of crop). Based on the GeoDetector model, we determined that the elevation explained more of the LST distribution (84-90%) and spatiotemporal variation (22-26%) than any other land surface parameters. The combination of albedo and the other explanatory variables can significantly increase the explanatory power of each single factor, especially with elevation.
英文关键词	LST Climate change Land surface parameter GeoDetector Spatio-temporal variation Central asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000611830300005
WOS关键词	WATER INDEX NDWI ; MODIS LST ; CLIMATE-CHANGE ; ENVIRONMENTAL-FACTORS ; SOIL-MOISTURE ; ARAL SEA ; TEMPERATURE ; IMPACT ; RIVER ; PRODUCTS
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368999
作者单位	[Wang, Wei; Samat, Alim; Abuduwaili, Jilili; Ge, Yongxiao] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Wang, Wei; Samat, Alim; Abuduwaili, Jilili; Ge, Yongxiao] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Wang, Wei; Samat, Alim; Abuduwaili, Jilili] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Wei,Samat, Alim,Abuduwaili, Jilili,et al. Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia[J]. 中国科学院新疆生态与地理研究所,2021,186.
APA	Wang, Wei,Samat, Alim,Abuduwaili, Jilili,&Ge, Yongxiao.(2021).Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia.JOURNAL OF ARID ENVIRONMENTS,186.
MLA	Wang, Wei,et al."Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia".JOURNAL OF ARID ENVIRONMENTS 186(2021).