MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611050576 A) filed by G. L. Bajaj Institute Of Technology And Management, Greater Noida, Uttar Pradesh, on April 21, for 'system and method for ai-parameterized digital twin for flood risk assessment.'
Inventor(s) include Aradhna Saini; and Manas Yadav.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for flood risk assessment using an artificial intelligence-parameterized digital twin framework. The system comprises a causal analysis module configured to process multi-temporal geospatial data and generate dynamic environmental features including vegetation degradation and riverbank erosion, and a predictive modeling engine configured to generate a flood risk map based on the derived features and historical flood data. A hydrological simulation module is configured to create a digital twin of selected high-risk regions and automatically parameterize simulation parameters using outputs from the causal analysis module. The simulation predicts flood characteristics including depth, velocity, and inundation extent, which are presented through a three-dimensional visualization interface. The invention enables accurate, causally informed, and dynamically updated flood risk assessment by integrating artificial intelligence, geospatial analysis, and hydrological simulation into a unified system."
Disclaimer: Curated by HT Syndication.
