Comparative Analysis of Air Quality Indices Across Five Eastern States of India Using ML Models and Pollutant Based Insights

Volume: 11 | Issue: 01 | Year 2025 | Subscription
International Journal of Distributed Computing and Technology
Received Date: 08/29/2024
Acceptance Date: 12/06/2024
Published On: 2024-12-17
First Page: 31
Last Page: 42

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By: Vansh Mathur, Shalavya Agrawal, Naina Agrawal, Udit Pandey, and Parth Kedawat

Abstract

This paper presents a comparative study of Air Quality Index (AQI) levels in five eastern Indian states–Arunachal Pradesh, Assam, Meghalaya, Nagaland, and Tripura. Using historical data, the study explores the concentration of key pollutants, including PM2.5, PM10, NO2, SO2, CO, and Ozone, highlighting regional variations in air quality. Assam, with its higher levels of urbanization and industrial activity, shows elevated AQI levels, especially for pollutants like PM10 and NO2. In contrast, Arunachal Pradesh and Nagaland, with their rural and forested landscapes, exhibit lower AQI levels, indicating better air quality. The study utilizes AdaBoost (Adaptive Boosting) and XGBoost (Extreme Gradient Boosting) models to predict future AQI trends, providing valuable insights for policymakers to anticipate air quality changes. Monthly and yearly comparisons of pollutant levels reveal significant temporal variations, with some states experiencing seasonal spikes in pollutants, particularly in winter. Through detailed graphs and AdaBoost/XGBoost-based predictions, the study emphasizes the impact of urbanization, industrialization, and geographical factors on air quality, offering crucial data for environmental policy and public health initiatives.

Keywords:  Air Quality Index (AQI), AdaBoost, CO, eastern states of India, graphical abstract, machine learning, NO2, Ozone, PM2.5, PM10, pollution, SO2, XGBoost

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Citation:

How to cite this article: Vansh Mathur, Shalavya Agrawal, Naina Agrawal, Udit Pandey, and Parth Kedawat, Comparative Analysis of Air Quality Indices Across Five Eastern States of India Using ML Models and Pollutant Based Insights. International Journal of Distributed Computing and Technology. 2025; 11(01): 31-42p.

How to cite this URL: Vansh Mathur, Shalavya Agrawal, Naina Agrawal, Udit Pandey, and Parth Kedawat, Comparative Analysis of Air Quality Indices Across Five Eastern States of India Using ML Models and Pollutant Based Insights. International Journal of Distributed Computing and Technology. 2025; 11(01): 31-42p. Available from:https://journalspub.com/publication/ijdct/article=13141

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