Earth, Atmosphere & Environment Sciences
Title : | DeepINDRA: An experimental system for forecasting street-scale flood inundation by coupling physical and deep learning models |
Area of research : | Earth, Atmosphere & Environment Sciences |
Focus area : | Hydrology |
Principal Investigator : | Dr. Manabendra Saharia, Assistant Professor, IIT Delhi |
Timeline Start Year : | 2024 |
Timeline End Year : | 2027 |
Details
Executive Summary : | In the project, it is proposed to provide a restropective and real-time street-scale flood inundation forecasting system prototyped over Guwahti and Hyderabad, Telangana, developed entirely using open-source technology. The experimental forecasting system (DeepINDRA) shall involve coupling hyper-resolution (1Km2) physical modelling with cutting-edge AI/ML techniques to generate street scale (10 Km2) forecasts. It is expected that the project will have wide sectoral applications in disaster management and critical infrastructure protection. |
Co-PI: | Dr.Dhanya C.T, Professor; IIT Delhi; Dr. Parthasarathy Mukhopadhyay,Scientist-F, IITM Pune, Maharashtra, |
Total Budget (INR): | 63,16,960 |
Organizations involved