MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072047 A) filed by Jntu, Hyderabad on June 10, 2026, for Development Of Localized Water Quality Index And Predictive Management Framework For Moosi River System: An Integrated Modeling Approach.
Inventors include Aruri Malathi; and Dr. M. Viswanadham.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: Abstract This invention relates to a system and method for the localized assessment and predictive management of water quality in tropical urban river systems. The framework comprises a novel Moosi River Water Quality Index (MRWQI) calibrated for tropical hydrology, which utilizes a weighted geometric mean aggregation method to prevent parameter compensation effects. The system incorporates eight critical physicochemical and biological parameters—including Dissolved Oxygen, BOD, COD, and Heavy Metals—with a dynamic weighting system adjusted seasonally (Pre-monsoon, Monsoon, and Post-monsoon) using the Analytical Hierarchy Process (AHP). The integrated framework further employs ensemble machine learning algorithms, specifically Random Forest and XGBoost, to achieve high-accuracy (89%) water quality forecasting, alongside Long Short-Term Memory (LSTM) networks for real-time, short-term (72-hour) predictions. The method includes a scenario-based decision support system for evaluating intervention strategies, such as industrial pre-treatment and nature-based solutions, integrated with IoT sensor networks for automated alerting. Validation across multiple river systems demonstrates the spatial transferability of the framework, providing a scalable technical solution for river restoration in rapidly urbanizing tropical regions
Disclaimer: Curated by HT Syndication.
