Evaluation of the Dry Bulb, Wet Bulb, and Mean Temperature in Estimation of the Reservoirs' Evaporation Using ANFIS

Due to the lack of rain in recent years, it is necessary to preserve the available water resources and use it optimally. Evaporation is one of the main elements that affect water storage and temperature in the hydrological cycle. A precise estimation of amount of evaporation is essential for the management of agricultural irrigation, water balance and soil conservation. In this study, the adaptive network based fuzzy inference system (ANFIS) which can extract nonlinear relationship from the observations is developed to estimate evaporation from three reservoirs. For each reservoir, three different models are built to evaluate the impact of dry bulb, wet bulb, and mean temperatures in estimation of the reservoirs evaporation. Three-year daily data collected from the reservoirs are used to train and test the constructed models. The obtained Results indicated that the ANFIS models having wet bulb temperature as input can effectively improve the accuracy of evaporation estimation in comparison with dry bulb and mean temperatures.

کلیدواژه ها:

Reservoir's evaporation ، Wet bulb temperature ، Mean temperature ، ANFIS