气候变化领域集成服务门户(CCPortal): Quantifying spatio-temporal variations of evapotranspiration over a heterogeneous terrain in the Arid regions of Northwestern China.

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DOI	10.1080/01431161.2020.1868604
	Quantifying spatio-temporal variations of evapotranspiration over a heterogeneous terrain in the Arid regions of Northwestern China.
	Jiao, Dandan; Ji, Xibin; Liu, Jane; Zhao, Liwen; Jin, Bowen; Zhang, Jinglin; Guo, Fei
通讯作者	Ji, XB (通讯作者)，Chinese Acad Sci, Key Lab Ecohydrol & Watershed Sci, Northwest Inst Ecoenvironm & Resource, Linze Inland River Basin Res Stn, Lanzhou, Peoples R China.
发表日期	2021
ISSN	0143-1161
EISSN	1366-5901
起始页码	3231
结束页码	3254
卷号	42 期号:9
英文摘要	Evapotranspiration (ET) is a major component of water and energy budgets in terrestrial ecosystems and quantifying ET over a heterogeneous land surface is of extraordinary significance. However, previous studies on the spatial distribution of daily ET in the middle Hexi corridors were mostly temporal discontinuous, and thus hinder the applications in agriculture and meteorology. Based on Land Remote-Sensing Satellite (Landsat) 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data and the Surface Energy Balance System (SEBS) model, surface ET in 2014 were estimated over a desert oasis with heterogeneous land cover in the middle Hexi corridors of the arid regions in northwestern China. Daily ET was derived from the reference crop ET which was based on the relationship between actual ET and potential ET. The main results indicated that (1) the estimated daily ET values agreed well with the Eddy Covariance (EC) measurements for cropland (The coefficient of determination (R (2)) = 0.96, p < 0.05, Root Mean Square Error (RMSE) = 1.32 mm day(-1), Mean Absolute Error (MAE) = 1.11 mm day(-1)). Daily ET was more than 2.5 mm day(-1) from June to July in 2014. (2) Seasonal ET was the largest in the summer (190.55 mm), followed by spring (100.03 mm), autumn (62.27 mm), and winter (6.83 mm). (3) ET from the waterbody was the highest, followed by ET from cropland, shelterbelt, bare land, and shrubland, suggesting that ET was mainly controlled by the water availability of the underlying surface. Multiple land-cover types showed similar variations in a year, but the seasonal variations were different. This study provides a foundational understanding of the patterns of water and heat exchange over heterogeneous regions, which can be helpful to make local policy in rational water management and land resource utilization.
关键词	HEIHE RIVER-BASIN MAPPING DAILY EVAPOTRANSPIRATION LARGE-APERTURE SCINTILLOMETER BALANCE SYSTEM SEBS EDDY-COVARIANCE MODIS IMAGES HEAT-FLUX SURFACE EVAPORATION RESOLUTION
语种	英语
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000615828000001
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254198
作者单位	[Jiao, Dandan; Ji, Xibin; Zhao, Liwen; Jin, Bowen; Zhang, Jinglin; Guo, Fei] Chinese Acad Sci, Key Lab Ecohydrol & Watershed Sci, Northwest Inst Ecoenvironm & Resource, Linze Inland River Basin Res Stn, Lanzhou, Peoples R China; [Jiao, Dandan; Zhang, Jinglin; Guo, Fei] Univ Chinese Acad Sci, Beijing, Peoples R China; [Liu, Jane] Fujian Normal Univ, Coll Geog Sci, Minist Educ, Key Lab Humid Subtrop Ecogeog Proc, Fuzhou, Peoples R China; [Liu, Jane] Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada
推荐引用方式 GB/T 7714	Jiao, Dandan,Ji, Xibin,Liu, Jane,et al. Quantifying spatio-temporal variations of evapotranspiration over a heterogeneous terrain in the Arid regions of Northwestern China.[J]. 中国科学院西北生态环境资源研究院,2021,42(9).
APA	Jiao, Dandan.,Ji, Xibin.,Liu, Jane.,Zhao, Liwen.,Jin, Bowen.,...&Guo, Fei.(2021).Quantifying spatio-temporal variations of evapotranspiration over a heterogeneous terrain in the Arid regions of Northwestern China..INTERNATIONAL JOURNAL OF REMOTE SENSING,42(9).
MLA	Jiao, Dandan,et al."Quantifying spatio-temporal variations of evapotranspiration over a heterogeneous terrain in the Arid regions of Northwestern China.".INTERNATIONAL JOURNAL OF REMOTE SENSING 42.9(2021).