After this course, the student is able to:
- analyse hydrological problems and identify appropriate hydrological models;
- implement hydrological models based on scientific literature;
- calibrate and validate hydrological models;
- carry out uncertainty analyses;
- apply hydrological models for forecasting and other purposes.
Flood safety, early warning and the availability of sufficient water are important components of the sustainable development goals of the United Nations. Therefore, hydrological modelling and forecasting are essential tools to understand and analyse water-related problems related to these goals and provide accurate forecasts for short-term and medium-term purposes.|
This course addresses all relevant steps in hydrological modelling and forecasting, such as problem analysis, model development, model construction, calibration, validation and uncertainty analysis. During the course different modelling approaches, techniques and case studies will be presented and applied. Specific attention will be paid to hydrological forecasting with examples from rivers such as the Meuse, Rhine and Nile. The knowledge obtained in this course can be used to support water policy and management in rural and urban areas
The hydrological modelling cycle from problem identification to model application is considered:
- problem identification and analysis
- model concepts and model formulation
- calibration and validation
- sensitivity and uncertainty analysis
- hydrological forecasting and other applications.
This course is assessed by means of individual and group assignments and a presentation.
This course prepares for the courses ‘Hydraulic Modelling’ and ‘Water and climate’
Is knowledge of programming skills necessary for this course? Please specify the skills / knowledge of which programme(s) is / are needed.
- MatLab or Python or a similar programming language