AI in Dam Infrastructure Management
In response to the rising challenges posed by extreme weather events due to climate change, NHPC Ltd has intensified its focus on Artificial Intelligence (AI) to enhance flood forecasting and monitoring of hydroelectric projects.
eAabhas Platform
- NHPC Ltd has developed an AI-based early warning platform called eAabhas.
- This platform utilizes Internet of Things (IoT) sensors and machine learning models to predict flood discharge with advance lead time at dams and barrage sites.
- A master control room has been established for continuous monitoring through eAabhas.
Benefits of AI Integration
- The AI systems are expected to enhance the accuracy of existing early warning systems, providing timely alerts to minimize potential damage to dams and downstream communities.
- Real-time monitoring of dams, optimization of water flows, and improved disaster prediction capabilities are key advantages.
Recent Weather Impact
- The Sikkim flash flood in October 2023, caused by a cloudburst, severely affected the Teesta III dam.
- During these flash floods, water overtopped the dam of the 510 MW Teesta V power station, necessitating its shutdown.
Future Prospects
- AI and machine learning will enable real-time flood forecasting at dam and barrage sites with lead time.
- Automatic alert systems based on forecasted floods will be integrated with information and communication technology.
- Data integration from the India Meteorological Department, National Disaster Management Authority, and Central Water Commission will support decision-making processes.
