Research topic
Hydrological Forecasting Using AI
Physical Sciences → Environmental Science → Environmental Engineering
About Hydrological Forecasting Using AI
This cluster of papers focuses on the application of machine learning methods, such as artificial neural networks, support vector machines, and wavelet analysis, in hydrological modeling and forecasting for water resources management. The papers cover topics including rainfall-runoff modeling, groundwater level forecasting, river flow prediction, and water quality modeling.
Keywords
Machine Learning Hydrology Forecasting Artificial Neural Networks Water Resources Rainfall-Runoff Modeling Support Vector Machines Wavelet Analysis Model Performance Groundwater Level Forecasting
Development over time
| Year | research outputs |
|---|---|
| 2025 | 1 |
Units
Units strongly represented in this topic
| Units |
|---|
Internal Committees1 Research outputs |
Societal Impact1 Research outputs |
Transformation through Transdisciplinarity1 Research outputs |
Women's and Equal Opportunities Representative1 Research outputs |
People
Researchers strongly represented in this topic
Here, researchers who have publications in OSIRIS assigned to this spectrum topic are displayed. For better clarity, only a selection is shown.
Dr. Annette Breckwoldt
1 Research outputsThe assignment of publications to topics is done automatically and may be incomplete or incorrect. If a person does not appear in the list, it does not mean that they could not have contributed to the topic.