01-05 December 2025
INCOIS, Hyderabad, India.
| Abstract Submission No. | ABS-05-0352 |
| Title of Abstract | Application of Underwater Domain Awareness (UDA) to Predict Sedimentation Patterns in Indian Reservoirs |
| Authors | Dr. (Cdr.) Arnab Das*, Romit Rajendra Kaware , R John Finny |
| Organisation | Founder & Director, Maritime Research Center |
| Address | Maritime Research Center, Koregaon Bhima Pune, Maharashtra, India Pincode: 412216 E-mail: romit.kaware@maritimeresearchcenter.com |
| Country | India |
| Presentation | Poster |
| Abstract | India's ever-increasing water and energy security requires the development of dams and reservoirs. However, they face a severe threat from accelerated sedimentation, leading to a significant annual loss of storage capacity. The problem is exacerbated under tropical hydro-climatic conditions. The intense monsoonal precipitation and runoff events generate exceptionally high fine silt and clay inputs from the young, erosion-prone Himalayan catchments. The Central Water Commission predicts the effective storage of some reservoirs will diminish by over 1% annually, undermining operational efficiency and design life. Traditionally, sediment transport modelling using mathematical models has been the cornerstone of this effort. While indispensable, these models often face challenges in accurately capturing the high spatiotemporal variability of Indian river systems and require extensive, often scarce, calibration data. This study suggests an integrated Underwater Domain Awareness (UDA) based data-driven framework. A thorough, near-real-time representation of reservoir hydrodynamics and sedimentation processes is proposed. This integrated information stream can calibrate and validate mathematical sediment transport models, significantly enhancing their predictive ability and providing direct operational insights. The long-term resilience of India's vital water infrastructure could be ensured by converting reservoir sediment management from a reactive to a proactive, anticipatory strategy by combining UDA and process-based modelling. |
| Are you part of IIOE-2 endorsed project | no |
| Keywords | Sedimentation, Sediment transport modelling, UDA, Reservoir, Mathematical modelling |
| For Awards | no |