You are cordially invited to attend the MSc thesis defense of Anshul Khandelwal, titled Reservoir Characterization using a Geometric Approach.
The defense will take place on Monday, 17th September at 14:00h in room Colloquimzaal 0.E420 at Van Mourik Broekmanweg.
The presentation is open to the public and will last around 40 minutes including questions from the audience. You are hereby cordially invited to join!
Reservoir Characterization using a Geometric Approach
Quantifying the anthropogenic impacts such as reservoir characterization is a big challenge in the field of water management. In this work, a computer graphics based geometric approach is presented which can predict the underlying topology of large-scale reservoirs. The proposed algorithm uses freely available, satellite based landscape data of the surrounding regions to predict reservoir characteristics. The premise of the presented approach is that the slope of the surrounding landscape is an important determinant to understand the underlying landscape of the reservoirs. This method outperforms the existing state-of-the-art techniques used to estimate the storage capacities drastically, both in terms of estimated maximum volume stored and estimated volume area curves. Evaluation of the geometric model presented is done on 28 reservoirs using the HydroSHEDs data which was developed using the Shuttle RADAR Topography Mission conducted by NASA. This HydroSHEDs data was obtained in 2000 which acts as ground truth data for the reservoirs built after 2000. Further, model parameters are introduced to improve the modeling capabilities of the reconstructed reservoirs. This approach further intensifies the case of using computer graphics techniques for raster based analysis and provides a platform for further research in the field of water management.
Prof. Dr. Elmar Eisemann
Dr. Klaus Hildebrandt
Dr. Cynthia C.S. Liem
Prof. Dr. Nick van de Giesen