Entropy Based Regional Precipitation Prediction in the Case of Gediz River Basin

The Shannon’s entropy concept is defined to measure the information content of hydrological processes in hydrology and water resources. Entropy has also provided an opportunity solve several related topics resources engineering. presented study aims define regional distribution expected long-term annual total precipitation, by using concept. For this purpose, frequency analysis observed monthly precipitation data for each station analyzed, values are calculated histogram called " Intensity – IE". By IE values, it possible even if gauging stations have different observation periods without missing any available data. In addition, there no need complete years (months) precipitation-elevation relations producing isometric map. analysis, create isoentropy map, determined station. method performed map created Gediz Basin as a case study, priori conditions results discussed paper.