New Frontiers in Communication and Intelligent Systems
Feasibility Study of ARIMA Model for PM2.5 Prediction using Real-world Data Gathered from Pune Region
Authors: Aarohi Sudumbrekar, Rutuja Kale, Tanvi Kaurwar, Vaishnavi Mule and Anita Devkar
Publishing Date: 12-11-2021
ISBN: 978-81-95502-00-4
Abstract
Time and time again, air pollution has proven to be a formidable problem which needs to be tackled now more than ever. The increased levels of pollutants have significantly affected the respiratory healthof Indian citizens. One such major pollutant is PM2.5. Consequently, it is pertinent that a good methodology be created to predict the PM2.5 values. In this paper, the ARIMA method of time series analysis is used to predict the values of P.M2.5. Thus, the viability of this approach has been assessed and the results have been put forth
Keywords
ARIMA, PM2.5, Time-series analysis, Air pollution.
Cite as
Aarohi Sudumbrekar, Rutuja Kale, Tanvi Kaurwar, Vaishnavi Mule and Anita Devkar, "Feasibility Study of ARIMA Model for PM2.5 Prediction using Real-world Data Gathered from Pune Region", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2021, pp. 105-111. https://doi.org/10.52458/978-81-95502-00-4-13