Modeling of Evapotranspiration (ETo) in a Medium Urban Park within a Megacity by Using Artificial Neural Network (ANN) Model

Evapotranspiration (ETo) is considered a main component of the hydrological cycle. This study was carried out on medium-size park within highly urbanized area, close to center Melbourne city. The purpose calculate reference evapotranspiration (ETo), particularly at specified spot in corner park. hand-held device used collect data gave consistent results and reduced need for assumptions. Penman-Montieth equation reserved ETo. To build an ETo model, Artificial Neural Network (ANN) adopted predict Three models were built select best based least Root Mean Square Error (RMSE) highest coefficient determination (R2). Results showed contrast between observed predicted magnitudes Both are higher than most recent studies. Data from location shows difference relative fixed meteorological stations. supports that climate change causes increasing