The role of air pollutants in the climate alterations of the North Central region of Maharashtra was analysed with a focus on predicting the Air Quality Index, a crucial tool for managing air quality in both residential and industrial areas. A two-year study assessed air quality by analysing gaseous pollutants such as Sulfur Dioxide(SO2), Nitrogen Dioxide(NO2), and particulate matter(PM10&PM2.5).Pollutant concentration were estimated using satellite data from Sentinel-5P and OMI/Aura, supplemented by ground based measurement. These efforts highlight the importance of continuous monitoring and prediction to combat the growing threat of air pollution in diverse environments. Spatial and temporal variations in pollutant levels, with higher concentrations were consistently observed in industrial zones as compared to residential areas. Statistical correlation analysis was conducted to establish correlations between satellite and in-situ measurements, validating the manoeuvre of remote sensing technologies for air quality monitoring. The findings emphasize the importance of a multifaceted approach, integrating satellite observations with ground-based data, for enhanced air quality monitoring and management strategies.
Wanjule et al. (Wed,) studied this question.