Abstract
AbstractReference evapotranspiration (ET0) estimates are commonly used in hydrologic planning for water resources and agricultural applications. Last 2 decades, machine learning (ML) techniques have enabled scientists to develop powerful tools to study ET0 patterns in the ecosystem. This study investigated the feasibility and effectiveness of three ML techniques, including the k-nearest neighbor algorithm, multigene genetic programming, and support vector regression (SVR), to estimate daily ET0 in Türkiye. In addition, different interpolation techniques, including ordinary kriging (OK), co-kriging, inverse distance weighted, and radial basis function, were compared to develop the most appropriate ET0 maps for Türkiye. All developed models were evaluated according to the performance indices such as coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). Taylor, violin, and scatter plots were also generated. Among the applied ML models, the SVR model provided the best results in determining ET0 with the performance indices of R2 = 0.961, RMSE = 0.327 mm, and MAE = 0.232 mm. The SVR model’s input variables were selected as solar radiation, temperature, and relative humidity. Similarly, the maps of the spatial distribution of ET0 were produced with the OK interpolation method, which provided the best estimates.
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology
Reference81 articles.
1. Abrishami N, Sepaskhah AR, Shahrokhnia MH (2019) Estimating wheat and maize daily evapotranspiration using artificial neural network. Theor App Climatol 135:945–958
2. Achite M, Jehanzaib M, Sattari MT et al (2022) Modern techniques to modeling reference evapotranspiration in a semi-arid area based on ANN and GEP models. Water 14:1210
3. Ahi Y, Coşkun Dilcan Ç, Köksal DD, Gültaş HT (2022) Reservoir evaporation forecasting based on climate change scenarios using artificial neural network model. Water Resour Manag. https://doi.org/10.1007/s11269-022-03365-0
4. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. In FAO irrigation and drainage paper 56. Food and agriculture organization of the United Nations, Rome
5. Allen RG, Pruitt WO, Wright JL et al (2006) A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method. Agric Water Manag 81:1–22
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献