干旱区生态环境知识资源中心(Arid): Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China

Arid

DOI	10.1007/s00271-023-00903-5
	Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China
	Zhan, Cun; Zhao, Lu; Zhang, Yaling; Lin, Xinbei; Zhou, Gang; Zheng, Zetao
通讯作者	Zhao, L
来源期刊	IRRIGATION SCIENCE
ISSN	0342-7188
EISSN	1432-1319
出版年	2024
卷号	42 期号:3 页码:611-626
英文摘要	Accurate estimation of evapotranspiration (ET) is crucial for improving crop water-use efficiency and facilitating precision irrigation. The Penman-Monteith (P-M) model is a widely used approach for ET calculation, with canopy resistance (rc) acting as a critical determinant of accuracy that is greatly affected by meteorological, crop, and soil factors. This study focused on the calibration of two rc models: Jarvis (JA) and coupled resistance (CO), utilizing ant colony optimization (ACO) and the least square method (LSM). Data from an eddy covariance system and a meteorological station in the Huailai summer maize field (115 degrees 47'E, 40 degrees 20'N) for the year 2013 were employed for model parameterization. Performance evaluation of these models was conducted using ET measurements obtained through the eddy covariance system in 2014. Path analysis was conducted to elucidate the impact of net radiation (Rn), temperature (T), vapor pressure deficit (VPD), soil water content (theta) and leaf area index (LAI) on rc. Results revealed a decrease in rc during growing season, with influencing factors ordered as Rn, LAI, VPD, T, and theta. The CO model optimized by ACO exhibited superior accuracy, with R2 of 0.89. Integration of the ACO-optimized the CO model into P-M model for ET estimation also demonstrated the highest accuracy with R2 of 0.72. JA model optimized by ACO provided satisfactory results in both parameters calibration and ET estimation. Therefore, the ACO-optimized CO model was recommended as the optimal approach for rc calculation of summer maize in semi-arid area. Additionally, the JA model optimized by ACO was proposed as a credible alternative to the CO model. These findings contribute to the refinement of ET estimation methodologies, offering valuable insights for precision agricultural water management practices.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001133112800001
WOS关键词	WINTER-WHEAT ; STOMATAL CONDUCTANCE ; WEIGHING LYSIMETER ; SURFACE-RESISTANCE ; EDDY-COVARIANCE ; PENMAN-MONTEITH ; SEED PRODUCTION ; WATER-USE ; EVAPORATION ; REGION
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404293
推荐引用方式 GB/T 7714	Zhan, Cun,Zhao, Lu,Zhang, Yaling,et al. Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China[J],2024,42(3):611-626.
APA	Zhan, Cun,Zhao, Lu,Zhang, Yaling,Lin, Xinbei,Zhou, Gang,&Zheng, Zetao.(2024).Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China.IRRIGATION SCIENCE,42(3),611-626.
MLA	Zhan, Cun,et al."Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China".IRRIGATION SCIENCE 42.3(2024):611-626.