MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611001669 A) filed by Manipal University, Jaipur, Rajasthan, on Jan. 7, for 'a physics-informed groundwater forecasting, causal policy simulation, and natural language geospatial optimization platform for recharge planning.'
Inventor(s) include Harshit Kumawat; Abhinav Rajeev Nair; and Dr. Ajay Kumar.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an integrated decision-support platform for forecasting groundwater dynamics, evaluating policy interventions, and recommending equitable groundwater recharge locations. The system comprises a physics-informed spatiotemporal graph neural network to predict groundwater levels over multi-month horizons while enforcing water balance constraints defined by recharge and discharge processes and learning associated coefficients from data. A structural causal model is used to estimate the effects of hypothetical interventions, including changes in pumping intensity, land use, or climatic conditions. A natural-language-driven geospatial optimization engine translates user-specified objectives into a multi-objective optimization problem balancing hydrologic impact, cost, accessibility, and equity considerations. The platform generates uncertainty estimates using stochastic inference techniques and delivers results through application programming interfaces and an interactive dashboard. Experimental evaluations across multiple regions demonstrate improved predictive accuracy and reduced violations of physical constraints relative to baseline approaches."
Disclaimer: Curated by HT Syndication.
