Institute of Hydrology
Topic
Prediction of Water Temperature in Selected Rivers Based on Climate and Hydrological Change Scenarios Using Modern Analytical Tools
PhD. program
Water Resources Engineering
Year of admission
2025
Name of the supervisor
RNDr. Pavla Pekárová, DrSc.
Contact:
Receiving school
Faculty of Civil Engineering STU
Annotation
The proposed thesis will focus on the long-term variability and trends in water temperature of selected rivers in various regions of the Danube basin (high-mountain, hilly, and lowland areas) and along the Danube River. Multiple regression methods will be used to analyze the relationships between water temperature and influencing factors (low and high flow conditions, increasing atmospheric temperature, anthropogenic activity in the basin, etc.). Simulation models for multiregressive simulation and stochastic forecasting (Box Jenkins models, ARIMA, SARIMA) will be developed for selected rivers. Machine learning models (e.g., neural networks, decision trees, or gradient boosting) will also be applied to predict water temperature and identify key factors influencing its long-term variability. These models will be used to simulate water temperature of selected rivers under different flow and air temperature scenarios.