干旱区生态环境知识资源中心(Arid): Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India

Arid

DOI	10.3390/atmos12121654
	Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India
	Kushwaha, Nand Lal; Rajput, Jitendra; Elbeltagi, Ahmed; Elnaggar, Ashraf Y.; Sena, Dipaka Ranjan; Vishwakarma, Dinesh Kumar; Mani, Indra; Hussein, Enas E.
通讯作者	Rajput, J (corresponding author)，ICAR Indian Agr Res Inst, Div Agr Engn, New Delhi 110012, India. ; Hussein, EE (corresponding author)，Natl Water Res Ctr, POB 74, Shubra El Kheima 13411, Egypt.
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2021
卷号	12 期号:12
英文摘要	Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted the attention of researchers worldwide. In this investigation, we have examined the performance of models employing four meta-heuristic algorithms, namely, support vector machine (SVM), random tree (RT), reduced error pruning tree (REPTree), and random subspace (RSS) for simulating daily pan evaporation (EPd) at two different locations in north India representing semi-arid climate (New Delhi) and sub-humid climate (Ludhiana). The most suitable combinations of meteorological input variables as covariates to estimate EPd were ascertained through the subset regression technique followed by sensitivity analyses. The statistical indicators such as root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliffe efficiency (NSE), Willmott index (WI), and correlation coefficient (r) followed by graphical interpretations, were utilized for model evaluation. The SVM algorithm successfully performed in reconstructing the EPd time series with acceptable statistical criteria (i.e., NSE = 0.937, 0.795; WI = 0.984, 0.943; r = 0.968, 0.902; MAE = 0.055, 0.993 mm/day; and RMSE = 0.092, 1.317 mm/day) compared with the other applied algorithms during the testing phase at the New Delhi and Ludhiana stations, respectively. This study also demonstrated and discussed the potential of meta-heuristic algorithms for producing reasonable estimates of daily evaporation using minimal meteorological input variables with applicability of the best candidate model vetted in two diverse agro-climatic settings.
英文关键词	support vector machine random tree random subspace sensitivity analysis
类型	Article
语种	英语
开放获取类型	Green Published
收录类别	SCI-E
WOS记录号	WOS:000735694000001
WOS关键词	RANDOM SUBSPACE METHOD ; WATER ; CLASSIFICATION ; MACHINE ; REPTREE ; AREA ; ANN
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375819
作者单位	[Kushwaha, Nand Lal; Rajput, Jitendra; Sena, Dipaka Ranjan; Mani, Indra] ICAR Indian Agr Res Inst, Div Agr Engn, New Delhi 110012, India; [Elbeltagi, Ahmed] Mansoura Univ, Fac Agr, Agr Engn Dept, Mansoura 35516, Egypt; [Elnaggar, Ashraf Y.] Taif Univ, Coll Sci, Dept Food Nutr Sci, At Taif 21944, Saudi Arabia; [Vishwakarma, Dinesh Kumar] GB Pant Univ Agr & Technol, Dept Irrigat & Drainage Engn, Pantnagar 263145, Uttar Pradesh, India; [Hussein, Enas E.] Natl Water Res Ctr, POB 74, Shubra El Kheima 13411, Egypt
推荐引用方式 GB/T 7714	Kushwaha, Nand Lal,Rajput, Jitendra,Elbeltagi, Ahmed,et al. Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India[J],2021,12(12).
APA	Kushwaha, Nand Lal.,Rajput, Jitendra.,Elbeltagi, Ahmed.,Elnaggar, Ashraf Y..,Sena, Dipaka Ranjan.,...&Hussein, Enas E..(2021).Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India.ATMOSPHERE,12(12).
MLA	Kushwaha, Nand Lal,et al."Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India".ATMOSPHERE 12.12(2021).