干旱区生态环境知识资源中心(Arid): Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques

Arid

DOI	10.3390/w13060793
	Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques
	Ghumman, Abdul Razzaq; Jamaan, Mohammed; Ahmad, Afaq; Shafiquzzaman, Md; Haider, Husnain; Al Salamah, Ibrahim Saleh; Ghazaw, Yousry Mahmoud
通讯作者	Haider, H (corresponding author), Qassim Univ, Coll Engn, Dept Civil Engn, Buraydah 51431, Saudi Arabia.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:6
英文摘要	The evaporation losses are very high in warm-arid regions and their accurate evaluation is vital for the sustainable management of water resources. The assessment of such losses involves extremely difficult and original tasks because of the scarcity of data in countries with an arid climate. The main objective of this paper is to develop models for the simulation of pan-evaporation with the help of Penman and Hamon's equations, Artificial Neural Networks (ANNs), and the Artificial Neuro Fuzzy Inference System (ANFIS). The results from five types of ANN models with different training functions were compared to find the best possible training function. The impact of using various input variables was investigated as an original contribution of this research. The average temperature and mean wind speed were found to be the most influential parameters. The estimation of parameters for Penman and Hamon's equations was quite a daunting task. These parameters were estimated using a state of the art optimization algorithm, namely General Reduced Gradient Technique. The results of the Penman and Hamon's equations, ANN, and ANFIS were compared. Thirty-eight years (from 1980 to 2018) of manually recorded pan-evaporation data regarding mean daily values of a month, including the relative humidity, wind speed, sunshine duration, and temperature, were collected from three gauging stations situated in Al Qassim, Saudi Arabia. The Nash and Sutcliffe Efficiency (NSE) and Mean Square Error (MSE) evaluated the performance of pan-evaporation modeling techniques. The study shows that the ANFIS simulation results were better than those of ANN and Penman and Hamon's equations. The findings of the present research will help managers, engineers, and decision makers to sustainability manage natural water resources in warm-arid regions.
英文关键词	reduced gradient warm-arid pan-evaporation Neural Networks Neuro Fuzzy relative humidity
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:000651973400001
WOS关键词	NEURAL-NETWORKS ; ARID REGIONS ; EVAPOTRANSPIRATION ; MODELS ; LAKE
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351946
作者单位	[Ghumman, Abdul Razzaq; Jamaan, Mohammed; Shafiquzzaman, Md; Haider, Husnain; Al Salamah, Ibrahim Saleh] Qassim Univ, Coll Engn, Dept Civil Engn, Buraydah 51431, Saudi Arabia; [Ahmad, Afaq] Univ Engn & Technol, Dept Civil Engn, Taxila 47080, Pakistan; [Ghazaw, Yousry Mahmoud] Alexandria Univ, Fac Engn, Civil Engn Dept, Alexandria 21544, Egypt; [Ghazaw, Yousry Mahmoud] Onaizah Coll, Coll Engn & Informat Technol, Dept Civil Engn, Onaizah 56447, Saudi Arabia
推荐引用方式 GB/T 7714	Ghumman, Abdul Razzaq,Jamaan, Mohammed,Ahmad, Afaq,et al. Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques[J],2021,13(6).
APA	Ghumman, Abdul Razzaq.,Jamaan, Mohammed.,Ahmad, Afaq.,Shafiquzzaman, Md.,Haider, Husnain.,...&Ghazaw, Yousry Mahmoud.(2021).Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques.WATER,13(6).
MLA	Ghumman, Abdul Razzaq,et al."Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques".WATER 13.6(2021).