• Samir Shanware
• Sneha Khedekar
• Viraj Salunke
• Akshita Patil
• Sharyu Patil

Recently, global pollution has increased and the increase in the content of harmful substances (PM2.5 and PM10) in the air can cause adverse effects such as heart disease of insects and pose a threat to the country and people. Monitoring and predicting air quality have become essentially important in this era, especially in developing countries like India. Air quality models simulate the atmospheric environment systems and provide increased domain knowledge and reliable forecasting. They provide early warnings to the population and reduce the number of measuring stations. Due to the complexity and non-linear behavior associated with air quality data, soft computing models became popular in air quality modeling (AQM) .PM2.5 and PM10 are a deadly pollutant, a mixture of solids and coarse liquids with a diameter of 2.5 microns and 10 microns respectively .It is necessary to accurately estimate the PM2.5 & PM10 concentration in order to prevent the public from being affected by the weather. Changes in PM2.5 & PM10 depend on factors such as the weather and the amount of other pollutants in the city.We implemented soft computing tool to predict the daily forecast PM2.5 and PM10 concentration in Pune, India, based on SARIMA model with a spatial-temporal feature by combining historical data of pollutants, meteorological data, and PM2.5 PM10 concentration in the selected station.

Global pollution, SARIMA model, soft computing tool, historical data ,meteorological data

"PREDICTION MODEL ON AIR QUALITY OF PUNE REGION USING SOFT COMPUTING TOOL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c821-c828, July-2023, Available :http://www.jetir.org/papers/JETIR2307287.pdf

"PREDICTION MODEL ON AIR QUALITY OF PUNE REGION USING SOFT COMPUTING TOOL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc821-c828, July-2023, Available at : http://www.jetir.org/papers/JETIR2307287.pdf