Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.compag.2014.08.007 |
Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran | |
Shiri, Jalal1; Nazemi, Amir Hossein1; Sadraddini, Ali Ashraf1; Landeras, Gorka2; Kisi, Ozgur3; Fard, Ahmad Fakheri1; Marti, Pau4 | |
通讯作者 | Shiri, Jalal |
来源期刊 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
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ISSN | 0168-1699 |
EISSN | 1872-7107 |
出版年 | 2014 |
卷号 | 108页码:230-241 |
英文摘要 | Accurate estimation of reference evapotranspiration (ET0) values is of crucial importance in hydrology, agriculture and agro-meteorology issues. The present study reports a comprehensive comparison of empirical and semi empirical ET equations with the corresponding Heuristic Data Driven (HDD) models in a wide range of weather stations in Iran. Artificial Neural Networks (ANNs), Adaptive Neuro-Fuzzy Inference System (ANFIS), Support Vector Machine (SVM) and Gene Expression Programming (GEP) techniques are applied for modeling ET0 values considering different data management scenarios, and compared with corresponding Hargreaves-Samani (HS), Makkink (MK), Priestley-Taylor (PT), and Turc (T) ET0 models as well as their linear and non-linear calibrated versions along with the regression-based Copais algorithm. The obtained results confirm the superiority of GEP-based models. Further, the HDD models generally outperform the applied empirical models. Among the empirical models, the calibrated HS model found to give the most accurate results in all local and pooled scenarios, followed by the Copais and the calibrated PT models. In both local and pooled applications, the calibrated HS equation should be applied when no training data are available for the use of HDD models. The best results of the models correspond to the humid regions, while the arid regions provide the poorest estimates. This may be attributed to higher ET0 values associated with these stations and the high advective component of these locations. (C) 2014 Elsevier B.V. All rights reserved. |
英文关键词 | ET0 models Heuristic data driven Iran Local application Pooled application |
类型 | Article |
语种 | 英语 |
国家 | Iran ; Spain ; Turkey |
收录类别 | SCI-E |
WOS记录号 | WOS:000344436100026 |
WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; FUZZY INFERENCE SYSTEM ; COUNTRY NORTHERN SPAIN ; ETO ANN MODELS ; COMPUTING TECHNIQUE ; CLIMATIC DATA ; SEMIARID CLIMATE ; HUMID CONDITIONS ; EVAPORATION ; ANFIS |
WOS类目 | Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications |
WOS研究方向 | Agriculture ; Computer Science |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/181460 |
作者单位 | 1.Univ Tabriz, Fac Agr, Water Engn Dept, Tabriz, Iran; 2.AB Basque Country Res Inst Agr Dev, NEIKER, Alava, Basque Country, Spain; 3.Canik Basari Univ, Fac Engn & Architecture, Dept Civil Engn, Samsun, Turkey; 4.Univ Politecn Valencia, Dept Engn Rural Agr, Valencia, Spain |
推荐引用方式 GB/T 7714 | Shiri, Jalal,Nazemi, Amir Hossein,Sadraddini, Ali Ashraf,et al. Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran[J],2014,108:230-241. |
APA | Shiri, Jalal.,Nazemi, Amir Hossein.,Sadraddini, Ali Ashraf.,Landeras, Gorka.,Kisi, Ozgur.,...&Marti, Pau.(2014).Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran.COMPUTERS AND ELECTRONICS IN AGRICULTURE,108,230-241. |
MLA | Shiri, Jalal,et al."Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran".COMPUTERS AND ELECTRONICS IN AGRICULTURE 108(2014):230-241. |
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