816353 Practical course in hydrology and water management II

Type
Exercise course
Semester hours
1
Lecturer (assistant)
Hilger, Timo , Herrnegger, Mathew
Organisation
Hydrology and Water Management
Offered in
Wintersemester 2024/25
Languages of instruction
Englisch
Content

The course provides a comprehensive introduction to R and RStudio, followed by a practical application of this knowledge in the field of hydrological modeling. Students learn advanced R programming techniques, including data visualization and the development of complex functions. The focus is on applying the hydrological model GR4J to a selected catchment from the LamaH Dataset. Concepts of time series analysis, interpolation techniques, and parameter estimation for rainfall-runoff models are covered. Students develop skills to integrate R programming and hydrological modeling to independently implement and optimize models, and effectively analyze and visualize results.
Objective (expected results of study and acquired competences)

After successful completion of the course, students will have developed the following skills:

- Hydrological Modeling Expertise: Graduates will be skilled in conducting hydrological modeling, including time series representation, interpolation techniques, model setup, and providing essential input parameters for model execution.

- Proficiency in Rainfall-Runoff Modeling: Graduates will be competent in performing rainfall-runoff modeling, including understanding and applying methods for parameter estimation.

- R Programming Competence: Graduates will demonstrate proficiency in the R programming language, including coding, creating data visualizations, developing and using complex functions, and incorporating external packages for enhanced functionality.

- Integrated Knowledge Application: Graduates will effectively combine their expertise in hydrological modeling and R programming, using advanced programming skills to implement and optimize hydrological models, perform in-depth data analyses, and visually present results.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.