干旱区生态环境知识资源中心(Arid): Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data

Arid

DOI	10.3390/rs15102565
	Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data
	Wang, Lei; Wang, Jinjie; Ding, Jianli; Li, Xiang
通讯作者	Ding, JL
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:10
英文摘要	The accurate inversion of actual evapotranspiration (ETa) at a regional scale is crucial for understanding water circulation, climate change, and drought monitoring. In this study, we produced a 1 km monthly ETa dataset for Turpan and Hami, two typical arid cities in northwest China, using multi-source remote sensing data, reanalysis information, and the ETMonitor model from 1980 to 2021. We analyzed the spatiotemporal variation of ETa using various statistical approaches and discussed the impact of climate and land use and cover changes (LUCC) on ETa. The results show the following: (1) the estimation results correlate well with ETa products on monthly scales (coefficient of determination (R-2) > 0.85, root mean square error (RMSE) < 15 mm/month) with high reliability. (2) The ETa values were spatially distributed similarly to precipitation and LUCC, with the multi-year (1980-2021) average of 66.31 mm and a slightly fluctuating downward trend (-0.19 mm/a). (3) During the 42-year period, 63.16% of the study area exhibited an insignificant decrease in ETa, while 86.85% experienced pronounced fluctuations (coefficient of variation (CV) > 0.20), and 78.83% will show an upward trend in the future. (4) ETa was significantly positively correlated with precipitation (94.17%) and insignificantly positively correlated with temperature (55.81%). The impact of human activities showed an insignificant decreasing trend (85.41%). Additionally, the intensity of ETa varied considerably among land types, with the largest for cropland (424.12 mm/a). The results of the study have implications for promoting the rational allocation of regional water resources and improving water use efficiency in arid zones.
英文关键词	evapotranspiration ETMonitor remote sensing spatiotemporal evolution arid areas
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000997633000001
WOS关键词	REGRESSION NEURAL-NETWORKS ; LATENT-HEAT FLUX ; CHINA ; EVAPORATION ; PARAMETERIZATION ; PRODUCT ; BASINS ; ALBEDO ; AREA ; MAP
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398268
推荐引用方式 GB/T 7714	Wang, Lei,Wang, Jinjie,Ding, Jianli,et al. Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data[J],2023,15(10).
APA	Wang, Lei,Wang, Jinjie,Ding, Jianli,&Li, Xiang.(2023).Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data.REMOTE SENSING,15(10).
MLA	Wang, Lei,et al."Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data".REMOTE SENSING 15.10(2023).