Meerut City Air Quality Index forecasting and future prediction using the ARIMA time series model
Year: 2025
Type: article
Abstract: One of the most important parts of the survival of life on Earth is air. Air pollution continuously rises due to weather, traffic, non-renewable energy use, and industrial reasons. These elements have an impact on the well-being and success of all species on Earth, thus it is necessary to regularly assess the state of the air quality in our surroundings. The Air Quality Index (AQI), which measures the quality of the air, is affected by several different factors, including the growth of Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Particulate Matter (PM2.5, and PM10). The present study uses an Autoregressive Integrated Moving Average (ARIMA) model for the forecasting and future prediction of monthly AQI, several individual factors such as the accumulation of NO2, SO2, PM2.5, and PM10 in Meerut City
Author: Shubham Kumar Sharma and Dr. Peer Javaid Ahmad
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930682655
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