MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621062524 A) filed by Dr. Parwathi Pillai; Manjariya Ishita Pratapbhai; and Patel Pradhyum Ashokbhai on May 18, 2026, for Impact Of Air Pollution On Regional Weather Variability In Gujarat: A Study On Aerosol–climate Interaction Using Statistical And Machine Learning Approach.
Inventors include Dr. Parwathi Pillai; Manjariya Ishita Pratapbhai; and Patel Pradhyum Ashokbhai.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Impact of Air Pollution on Regional Weather Variability in Gujarat: A Study on Aerosol–Climate Interaction using Statistical and Machine Learning Approach ABSTRACT The present invention relates to a statistical and machine learning-based system for assessing the impact of air pollution on regional weather variability in Gujarat through aerosol–climate interaction analysis. The system integrates satellite-derived, ground-based, meteorological, and air quality datasets, including aerosol optical depth, particulate matter concentration, temperature, humidity, rainfall, wind speed, wind direction, cloud cover, and solar radiation. The collected data are preprocessed through cleaning, normalization, temporal synchronization, and spatial alignment to generate reliable input datasets. Statistical techniques such as correlation analysis, regression analysis, trend analysis, and time-series evaluation are applied to identify relationships between aerosol loading and weather parameters. Machine learning models including random forest, support vector machine, gradient boosting, artificial neural network, and ensemble models are used to predict weather variability and classify aerosol–climate impact zones. The invention provides spatial maps, temporal graphs, anomaly patterns, pollutant contribution rankings, and climate risk outputs for Gujarat. The system supports improved understanding of aerosol-induced changes in temperature, rainfall, radiation balance, humidity, and atmospheric circulation. It is useful for air quality management, regional weather forecasting, environmental planning, climate adaptation, and policy decision-making.
Disclaimer: Curated by HT Syndication.
