Evaluating the Strategy of Ensemble Empirical and Tree-Based Methods in Estimating Reference Evapotranspiration

Mikaeili, Fatemeh; Samadianfard, Saeed; Delirhasannia, Reza

doi:10.22034/ewe.2022.345198.1789

Document Type : Research Paper

Authors

¹ M.S student, Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

² Assoc. Professor, Department of Water Engineering, Faculty of Agriculture, University of Tabriz , Tabriz, Iran

³ Asoc. Professor, Department of Water Engineering, Faculty of Agriculture, Tabriz University, Tabriz, Iran

https://doi.org/10.22034/ewe.2022.345198.1789

Abstract

In the present research, three data-driven models including M5P, REP tree, and random forest were used to estimate daily reference evapotranspiration. The abilities of these three models to estimate reference evapotranspiration were studied in single and combined modes. To this end, the daily meteorological data of five synoptic stations in Kerman province in the period from 2000 to 2020 were used. A combination of meteorological variables, using sensitivity analysis versus the reference evapotranspiration values obtained from FAO-Penman-Monteith, was considered as input for each of the mentioned models. Finally, the accuracy of the mentioned models and empirical methods in estimating the evapotranspiration of the reference plant were compared using statistical indicators, and the superior model was selected. The results of validation data showed that the M5P model in the form of individually (RMSE = 0.083 and NS = 0.998 in Bam station) and the weighted averaging in the form of the ensemble (RMSE = 0.155 and NS = 0.994 in Bam and Sirjan stations) in all stations had better results for estimating evapotranspiration rates than other methods. In general, tree models, especially M5P, had better results in estimating daily evapotranspiration than empirical models.

Keywords

20.1001.1.24763683.1402.9.2.8.3

Main Subjects

water resource management

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Environment and Water Engineering

Evaluating the Strategy of Ensemble Empirical and Tree-Based Methods in Estimating Reference Evapotranspiration

References

References

Volume 9, Issue 2
April 2023
Pages 256-270

Evaluating the Strategy of Ensemble Empirical and Tree-Based Methods in Estimating Reference Evapotranspiration

References

References

Volume 9, Issue 2April 2023Pages 256-270

Volume 9, Issue 2
April 2023
Pages 256-270