Document Type : Research Paper
Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
Department of Water Resources Study and Research, Water Research Institute, Tehran, Iran.
Due to the increase in greenhouse gases and numerous water and climate crises, accurate prediction of the changes groundwater levels is very important and vital in the water resources management. Therefore, in this paper,the climate changes of Talesh plain is studied under RCP scenarios using Lars-WG and its water sources from SVR and ANN models. Also,aquifer pumping parameters, evapotranspiration potential, minimum and maximum temperature and precipitation are used from (2021-2030). The results of the mean minimum and maximum temperature changes under RCP scenarios indicate the temperature increase by 0.9 and 0.69 °C. Also,studying the accuracy of SVR and ANN models shows that the AUC in the training and testing phase in the ANN model, the maximum AUC values were calculated as 0.876 and 0.769, while the SVR model, the maximum values were equal to 0.867 and 0.819.Thus SVR has better predictive accuracy.In addition to that during the time period (2005-2019) the groundwater level has decreased by 10 cm and in the SVR and ANN models by an average nine and six cm respectively more ever during in the time period(2021-2030) ground water levels have decreased in by 18, 20 and 21 cm, 20, 21 and 23 cm under the scenarios RCP2.6, RCP4.5 and RCP8 5 in SVR and ANN models,respectively.Therefor it is suggested that in Talesh plain considering the cultivation pattern appropriate to water resources in different parts of the plain should be the priority for agricultural planners.