Prediction of Pan Evaporation Rate Using Advanced Artificial Intelligence Techniques

The main objective of this research was to utilise advanced artificial intelligence methods to forecast the rate of evaporation, a crucial component of the water cycle. This doctoral investigation has provided extremely valuable insights into the realm of predicting evaporation, a factor that greatly influences diverse sectors such as agriculture, irrigation, water resource management, and various other areas. Besides that, this study provides hydrologists with actionable insights on how to incorporate soft computing into their analysis of non-stationary and non-linear hydrologic processes.