Title: A statistical analysis of air-pollution before COVID-19: experimental study of three years for intelligent environment conducted at North Indian Zone to extract knowledge

Authors: Rohit Rastogi; Akshit Rajan Rastogi; Neha Gupta

Addresses: Department of CSE, ABES Engineering College, Ghaziabad, U.P., 201009, India ' Department of CSE, ABES Engineering College, Ghaziabad, U.P., 201009, India ' Department of CSE, ABES Engineering College, Ghaziabad, U.P., 201009, India

Abstract: In populated and developing countries, governments consider the regulation and protection of the environment as a major task and should take into consideration the concept of smart environment monitoring. The main motive of these systems is to enhance the environment with various technology including sensors, processors, datasets and other devices connected across the globe through a network. This system can basically help in monitoring air quality which is necessary in the field of meteorological studies and movement factors. Also, these factors contribute a lot in air pollution. So, forecasting air quality index using an intelligent environment system, which includes a machine learning model in order to predict air quality index for National Capital Region (NCR) was proposed. The values of major pollutants like SO₂, PM2.5, CO, PM10, NO₂, and O₃ were used. In recent years, machine learning in most emerging technology is used for prediction with 99.99% of accuracy by using historical data.

Keywords: machine learning; air pollution prediction; linear regression; artificial neural network; ANN; KNN; SO₂; PM2.5.

DOI: 10.1504/IER.2022.128144

Interdisciplinary Environmental Review, 2022 Vol.22 No.3/4, pp.274 - 291

Accepted: 12 Aug 2022
Published online: 06 Jan 2023 *

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