Comparison between gene expression programming and traditional models for estimating evapotranspiration under hyper arid Conditions

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• 作者：Mohamed A. Yassin ; Abdulrahman A. Alazba ; Mohamed A. Mattar
• 关键词：arid conditions ; reference evapotranspiration ; gene expression programming ; traditional models
• 刊名：Water Resources
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：43
• 期：2
• 页码：412-427
• 全文大小：972 KB
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• 作者单位：Mohamed A. Yassin (1)
  Abdulrahman A. Alazba (1) (2)
  Mohamed A. Mattar (2) (3)
  
  1. Alamoudi Water Chair, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
  2. Agricultural Engineering Department, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
  3. Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center, P.O. Box 256, Giza, Egypt
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  Russian Library of Science
  
• 出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science+Business Media LLC.
• ISSN：1608-344X

文摘

Gene Expression Programming (GEP) was used to develop new mathematical equations for estimating daily reference evapotranspiration (ET _ref) for the Kingdom of Saudi Arabia. The daily climatic variables were collected by 13 meteorological stations from 1980 to 2010. The GEP models were trained on 65% of the climatic data and tested using the remaining 35%. The generalised Penman-Monteith model was used as a reference target for evapotranspiration (ET) values, with h _c varies from 5 to 105 cm with increment of a centimetre. Eight GEP models have been compared with four locally calibrated traditional models (Hargreaves-Samani, Irmak, Jensen-Haise and Kimberly-Penman). The results showed that the statistical performance criteria values such as determination coefficients (R 2) ranged from as low as 64.4% for GEP-MOD1, where the only parameters included (maximum, minimum, and mean temperature and crop height), to as high as 95.5% for GEP-MOD8 with which all climatic parameters included (maximum, minimum and mean temperature; maximum, minimum and mean humidity; solar radiation; wind speed; and crop height). Moreover, an interesting founded result is that the solar radiation has almost no effect on ET _ref under the hyper arid conditions. In contrast, the wind speed and plant height have a great positive impact in increasing the accuracy of calculating ET _ref. Furthermore, eight GEP models have obtained better results than the locally calibrated traditional ET _ref equations.