干旱区生态环境知识资源中心(Arid): Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm

Arid

DOI	10.1016/j.agrformet.2021.108488
	Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm
	Cui, Yaokui; Jia, Li; Fan, Wenjie
通讯作者	Cui, YK (corresponding author), Peking Univ, Sch Earth & Space Sci, Inst RS & GIS, Beijing 100871, Peoples R China. ; Cui, YK (corresponding author), Beijing Key Lab Spatial Informat Integrat & Appli, Beijing 100871, Peoples R China.
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2021
卷号	307
英文摘要	Daily actual evapotranspiration (ET) and its components - soil evaporation (E) and vegetation transpiration (T) - play a key role in water resource management of irrigated areas. Nevertheless, due to large uncertainties in the parameterization of the resistances in irrigated areas, traditional ET models do not always provide accurate ET estimates, especially for its components. This uncertainty is mainly due to the difficulty of determining the empirical parameters accurately of soil and canopy resistances which is debated for a long time and the error in input variables. This paper proposed an optimized Shuttleworth-Wallace model (SW) using the particle swarm optimization (PSO) algorithm to integrate the original SW with the surface temperature-vegetation index (Ts-VI) triangle models (named Shuttleworth & Wallace_Temperature Vegetation Index model, SW_TVI).The performance of the SW_TVI model was significantly improved by optimizing the soil and canopy resistances in the original SW model using discontinuous regional ET estimates from the Ts-VI model under clear-sky conditions. Compared with the original SW model, the root mean squared error (RMSE) and mean absolute deviation (MAD) of the SW_TVI model were reduced by more than 30%, against in situ measurements in the Heihe River Basin. The Bias of the T/ET ratio was also significantly reduced from -22.3% for the original SW model to -5.5% for the SW_TVI model. The annual contributions of E and T to ET were about 20% and 80%, respectively, and had a strong seasonal variation in the typical irrigated area of China. In summary, the SW_TVI model shows three outstanding advantages: (1) it estimates daily continuous E, T, and total ET with high accuracy; (2) it is very robust and insensitive or slightly sensitive to most input variables and empirical parameters; (3) it is independent from ground data. This new SW_TVI model will benefit water resources management in irrigated areas, particularly in arid and semi-arid regions.
英文关键词	Evaporation and transpiration SW model Ts-VI triangle model Particle swarm optimization Irrigation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000682515100062
WOS关键词	RIVER-BASIN ; INTERCEPTION LOSS ; MODEL ; EVAPORATION ; SOIL ; TRANSPIRATION ; CONDUCTANCE ; WATER ; PARAMETERIZATION ; RESISTANCE
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
来源机构	北京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362346
作者单位	[Cui, Yaokui; Fan, Wenjie] Peking Univ, Sch Earth & Space Sci, Inst RS & GIS, Beijing 100871, Peoples R China; [Cui, Yaokui; Fan, Wenjie] Beijing Key Lab Spatial Informat Integrat & Appli, Beijing 100871, Peoples R China; [Jia, Li] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Cui, Yaokui,Jia, Li,Fan, Wenjie. Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm[J]. 北京大学,2021,307.
APA	Cui, Yaokui,Jia, Li,&Fan, Wenjie.(2021).Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm.AGRICULTURAL AND FOREST METEOROLOGY,307.
MLA	Cui, Yaokui,et al."Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm".AGRICULTURAL AND FOREST METEOROLOGY 307(2021).