Applied Research in Water Engineering

Applied Research in Water Engineering

Ability of Gene Expression Programming Model to Estimate Reference Evapotranspiration with Minimal Meteorological Data

Document Type : Original Article

Authors
Mohamad Karami 1
Farzin Sayad beyranvand 2
1 Department of Civil Engineering, Faculty of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
2 Department of Water Engineering, Faculty of Agriculture, Isfahan University of Technology
10.22034/arwe.2024.2043340.1029
Abstract
amount of reference evapotranspiration using meteorological data, the period of 30-year of Ahvaz meteorological station was used. The reference method for calculating evapotranspiration was the Penman-Monteith method. In this research, four scenarios with different combinations of model input parameters were examined. Finally, the results showed that the best combination of input parameters for the gene expression programming model included parameters of minimum temperature, maximum temperature, relative humidity and sunshine hours. For these input parameters, R2, MAE, and RMSE statistics in the training phase are 0.964, 0.421 mm/d, and 0.507 mm/d, respectively, and in the test phase, they are 0.965, 0.419 mm/d, and 0.506 mm/d, respectively. was obtained Rainfall was the only parameter that showed the least effect on the rate of evaporation and transpiration, so that the increase of this parameter to the input parameters of the model caused a slight change (less than one percent) in the values of the evaluation indices. It seems that the reason for this is the low amount of rainfall in this area, so that in most months, the amount of rainfall is very small. Finally, the results of this research showed that the gene expression programming model can be used as a suitable tool with good accuracy for estimating reference evaporation and transpiration.
Keywords
Artificial intelligence
Evaporation and transpiration
GEP model
Penman Mantis
Subjects
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Applied Research in Water Engineering
Volume 2, Issue 1
June 2024
Pages 137-147

  • Receive Date 13 October 2024
  • Revise Date 21 October 2024
  • Accept Date 22 October 2024