干旱区生态环境知识资源中心(Arid): Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China

Arid

DOI	10.3390/su12187293
	Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China
	Wang, Yang; Zhang, Shuai; Chang, Xueer
通讯作者	Wang, Y
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2020
卷号	12 期号:18
英文摘要	Evapotranspiration (ET) is an important part of both water balance and energy balance. Accordingly, the estimation of ET plays a key role in research related to regional water resources and energy balance. Using the largest inland freshwater lake in China-Bosten Lake Basin-as a target area, this study employs the SEBAL model combined with actual surface ET from the 2013 MODIS ET data to estimate ET in the Bosten Lake Basin from a time and space perspective. The findings include the following: (1) Evapotranspiration in the Bosten Lake Basin shows a unimodal distribution in terms of time distribution, with the highest ET occurring in July and August. In terms of spatial distribution, the overall trend is more apparent in the northwest portion of the basin than the southeast portion, as there are more mountains in the northwest as well as fewer desert areas. (2) Grassland and unused land were the main types of land cover, and ET exhibited a clear relationship to vegetation coverage and water supply. The distribution of land use types from northwest to southeast ET show a significant downward trend. (3) During the growing season, the average daily ET level of land use/cover type was the greatest over water bodies (5.61 mm/d), followed by grassland (4.6 mm/d) and snow/ice (4.29 mm/d), with unused land giving the smallest amounts of ET.
英文关键词	remote sensing SEBAL evapotranspiration Bosten Lake Basin
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:000584255200001
WOS关键词	PAN EVAPORATION ; ARID REGION ; WATER ; GROUNDWATER ; SATELLITE ; RIVER
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/2XILL650/327222
作者单位	[Wang, Yang; Zhang, Shuai; Chang, Xueer] Xinjiang Agr Univ, Coll Grassland & Environm Sci, Urumqi 830052, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yang,Zhang, Shuai,Chang, Xueer. Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China[J],2020,12(18).
APA	Wang, Yang,Zhang, Shuai,&Chang, Xueer.(2020).Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China.SUSTAINABILITY,12(18).
MLA	Wang, Yang,et al."Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China".SUSTAINABILITY 12.18(2020).