Key steps in the E-Flow definition under the climate change impact at the river basin scale

This research aims to determine the impact of climate change on the E-flow by modelling low flows, sediment, total N, and total P under eight future climate change scenarios, using Indicators of Hydrological Alterations (IHAs) and biological indicators for the Sutla River downstream of the dam Vonarje. Since water temperature is a primary abiotic factor, the water temperature model was created using the machine learning tool Weka to calculate water temperature based on air temperature, physical-chemical indicators, abiotic and biological indicators for future scenarios.