Hydrological Analysis of the Source Region of The Gacka River

Abstract

The paper contains a hydrological analysis of the source region of the Gacka River. Standard statistical analyses of data series about the characteristic monthly and annual discharges and recession curve analyses were made. In order to complete the data series used in the analyses, data series were extended using machine learning methods, comparing and discussing the modelling results obtained from several neural network and regression decision tree models used. Based on the conducted testing of the data series that weren’t included in the model generation, it was identified that the models used can properly replace the missing data series.