Occurrences of extreme events, especially floods, have become more frequent and severe
in the recent past due to the global impacts of climate change. In this context, possibilities for …

Agriculture is one of the most essential industries since it provides food for the entire
population worldwide. Maintaining limited water resources is a challenging problem in this …

Hydrological models are vital tools in environmental management. Weaknesses in model
robustness for hydrological parameters transfer uncertainties to the model outputs. For …

Modeling hydrological processes for managing the available water resources effectively is
often complex due to the existence of high nonlinearity, and the associated prediction …

The hydrological model simulation accompanied with uncertainty quantification helps
enhance their overall reliability. Since uncertainty quantification including all the sources …

Reservoir-level forecasting, while being crucial for optimal operation, is challenged by
complex physical processes and changing climate conditions. Machine learning …

In the context of smart agriculture, accurate soil moisture monitoring is crucial to optimise
irrigation, improve water usage efficiency and increase crop yields. Although low-cost …