AI Driven Air Quality Index Mapping & Pollution Mitigation

Malay Joshi , Pankaj Yadav , Santosh Kumar Singh , Amit Kumar Pandey

Air Quality Index, Machine Learning, Pollution Prediction, K-Means Clustering, LSTM, Random Forest, Air Pollution, Environmental Monitoring, Forecasting, Mitigation Strategies, Folium, Data Visualization.

Abstract: Air pollution is a serious issue impacting public health and environmental sustainability. Here, the research examines India's daily air quality data for 2023 with an objective to map pollution trends and predict air quality levels in the future. The study uses K-Means clustering to cluster cities by their air quality trends and Long Short-Term Memory (LSTM) networks for time-series prediction of Air Quality Index (AQI). Through the use of these methods, we efficiently cluster locations with comparable pollution trends and forecast future AQI fluctuations, allowing for proactive countermeasures. The dataset contains significant pollutants like PM2.5, PM10, NO2, SO2, CO, and Ozone, based on the dominant pollutant the mitigation strategy is mapped. Offering a detailed evaluation of air quality trends. Interactive visualizations are further created to show pollutant levels across various regions, allowing for enhanced insight into areas of high pollution. The results of this research can assist policymakers and urban planners in designing specific pollution control measures, ultimately leading to better air quality management.

Published Paper   E-Certificate

"AI Driven Air Quality Index Mapping & Pollution Mitigation", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b445-b453, March-2025, Available :https://ijsdr.org/papers/IJSDR2503155.pdf

Volume 10 Issue 3, March-2025

Pages : b445-b453

Paper Reg. ID: IJSDR_301119

Published Paper Id: IJSDR2503155

Downloads: 000221

Research Area: Others area

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503155

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503155

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition