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DeepINDRA: An experimental system for forecasting street-scale flood inundation by coupling physical and deep learning models

Implementing Organization

IIT Delhi
Principal Investigator
Dr. Manabendra Saharia
Assistant Professor, IIT Delhi
msaharia@iitd.ac.in
CO-Principal Investigator
Dr.Dhanya C.T
Professor
dhanya@civil.iitd.ac.in,parthasarathi64@gmail.com
CO-Principal Investigator
IIT Delhi
CO-Principal Investigator
Dr. Parthasarathy Mukhopadhyay
Scientist-F, IITM Pune, Maharashtra,

Project Overview

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.
Funding Organization
Quick Information
Area of Research
Earth, Atmosphere & Environment Sciences
Focus Area
Hydrology
Start Date
2024
End Date
2027
Status
ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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