Course content

Hydrological processes. Theories related to modelling processes and computational methods. Measurements, spatial and temporal variability of hydrological processes. Snow and ice. Modelling concepts, model development and implementation. Hydrological prognosis, floods and urban hydrology.

Learning outcome

Knowledge:- The candidate should have knowledge on selected hydrological topics on an international level. The candidate should be able to apply the knowledge to advance methods and theories within hydrology.Skills:- The candidate should be able to utilize knowledge on processes in solving advanced problems within hydrology. The candidate should also be able to do advanced research and implement solutions and disseminate results on an international level.General competence:- The candidate should be able to utilize knowledge from the course in solving hydrological problems related to water resources. - The candidate should also be able to present results in national and international venues.

Learning methods and activities

The course content and form will to a large degree be adapted to the number of students and the needs of each student. Project work that counts for 100% of the grade. To pass the course a score of at least 70 percent is required. The course is lectured only when phd students are enrolled, and when few students are enrolled the course is organised as a self study.

Specific conditions

Recommended previous knowledge

TVM4105 Hydrology and TVM4106 Hydrological Modelling or similar courses.

Required previous knowledge

The course will be run if at least 3 students with relevant background wish to attend. If you wish to attend, please contact the course coordinator. Students not admitted to the PhD programme in engineering may be approved by the course coordinator.

Course materials

Beven, K. Rainfall runoff modellingSelected articles.