干旱区生态环境知识资源中心(Arid): Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq

Arid

DOI	10.1007/s00477-024-02736-w
	Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq
	Al-Hasani, Alaa A. Jasim; Shahid, Shamsuddin
通讯作者	Al-Hasani, AAJ ; Shahid, S
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN	1436-3240
EISSN	1436-3259
出版年	2024
卷号	38 期号:8 页码:3127-3148
英文摘要	Reliable estimation of reference evapotranspiration (ETo), an essential component of optimal irrigation management, is challenging in many regions due to its complex dependence on meteorological factors. Alternative empirical models, often used to estimate ETo considering data limitations, provide highly unreliable estimates for Iraq. This study aimed to formulate simpler empirical models for accurate ETo estimation with fewer variables in different climate regions of Iraq. The metaheuristic Whale Optimization Algorithm (WOA) was used to finetune the coefficients of the nonlinear least square fitting regression (NLLSF) model during development. Two simpler models were developed based on (1) only mean air temperature (T) (NLLSF-T) and (2) solar radiation and T (NLLSF-R) as inputs. The performance of the models was validated using historical ground observations (2012-2021), and the ETo was estimated using the Penman-Monteith method from the reanalyzed (ERA5) datasets (1959-2021). The models' spatial, seasonal, and temporal performance in estimating daily ETo was rigorously evaluated using multiple statistical metrics and visual presentations. The Kling-Gupta Efficiency (KGE) and normalized root mean square error (NRMSE) of the NLLSF-T model were 0.95 and 0.30, respectively, compared to 0.75 and 0.40 for Kharrufa, the best-performing temperature-based models in Iraq. Similarly, NLLSF-R improved the KGE from 0.78 to 0.97 in KGE and NRMSE from 0.44 to 0.22 compared to Caprio, the best-performing radiation-based model in Iraq. The spatial assessment revealed both the models' excellent performance over most of Iraq, except in the far north, indicating their suitability in estimating ETo in arid and semi-arid regions.
英文关键词	Penman-monteith method Whale optimization algorithm Nonlinear regression ERA5 Iraq
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001214810500002
WOS关键词	ARTIFICIAL-INTELLIGENCE ; HARGREAVES-SAMANI ; EVAPORATION ; EQUATIONS ; OPTIMIZATION ; NORTHWEST
WOS类目	Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405683
推荐引用方式 GB/T 7714	Al-Hasani, Alaa A. Jasim,Shahid, Shamsuddin. Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq[J],2024,38(8):3127-3148.
APA	Al-Hasani, Alaa A. Jasim,&Shahid, Shamsuddin.(2024).Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,38(8),3127-3148.
MLA	Al-Hasani, Alaa A. Jasim,et al."Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 38.8(2024):3127-3148.