Below is a list of available projects that can be pursued as either Semester Projects or Master’s Projects (PDM). These projects require familiarity with data analysis and scientific computing (e.g., MATLAB, Python, or R).
We also welcome student-initiated ideas. Interested students are encouraged to contact Prof. Mirko Musa directly at mirko.musa@epfl.ch.
Project Duration: 6–9 months
Project Type: Master’s Research
Supervisor: Mirko Musa
Co-supervisor: Giovanni De Cesare
Overview
Reservoir sedimentation is a critical issue that reduces storage capacity, impacts water management, and affects the long-term sustainability of hydropower and water supply systems. This project aims to synthesize and expand existing datasets on reservoir sedimentation, with a particular focus on mitigation strategies employed at operational dams.
Research Tasks
- Dataset Review & Compilation
- Conduct a comprehensive review of existing datasets on reservoir sedimentation.
- Identify the most relevant and high-quality datasets, assessing their compatibility for potential harmonization.
- Sediment Management & Mitigation Strategies
- Review current sediment removal and management practices at operating dams.
- Integrate information about mitigation efforts (capabilities, efficacy, etc.) into existing datasets or develop a new dataset incorporating this information.
- Data Analysis & Pattern Recognition
- Analyze the expanded dataset to identify patterns and correlations between dam characteristics, system watersheds, and the effectiveness of sedimentation mitigation measures.
- Explore potential predictors for successful sediment management strategies.
Expected Outcomes
- A synthesized dataset of reservoir sedimentation, incorporating mitigation strategies.
- An assessment of sediment removal techniques and their effectiveness at various dam types.
- Insights into factors influencing the efficiency of sedimentation management efforts, providing guidance for future dam operations and policy recommendations.
This project will provide valuable insights into the sustainability of reservoir operations while developing a structured database that can support future research on sediment management in regulated rivers.
The project is in collaboration with the Oak Ridge National Laboratory of the US Department of Energy.