ARCHIVES
Case Study
Air Pollution Prediction Using Data Science Process and ML
Lakshmi S R,1
K Navya Sri2
K P Tanuja3
K Shravani4
1234 Dayananda Sagar Academy of Technology and Management, Bangalore, Karnataka, India.
Published Online: May-August 2025
Pages: 325-330
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250402042
References
1. Bekkar, A., Hssina, B., Douzi, S., & Douzi, K. (2021). Air-Pollution Prediction in Smart City: Deep Learning Approach. Journal of Big Data, 8(161), 1-21.
2. Kumar, K., & Pande, B. P. (2023). Air Pollution Prediction with Machine Learning: A Case Study of Indian Cities. International Journal of Environmental Science and Technology, 20(5333), 5333–5348.
3. Stojov, V., Koteli, N., Lameski, P., & Zdravevski, E. (2018). Application of Machine Learning and Time- Series Analysis for Air Pollution Prediction. Conference Paper, April 2018. Available at: ResearchGate.
4. Hussain, A., Fatima, A., & Khan, A. (2020). Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach. Energies, 13(15), 3930.
5. Castelli, M., Manzoni, L., & Popovic, A. (2020). Forecasting Air Quality in California Using Support Vector Regression Models. Applied Soft Computing, 92, 106264.
6. Rybarczyk, Y., & Zalakeviciute, R. (2021). Machine Learning for Air Quality Predictions in Smart Cities. Environmental Science and Technology, 55(12), 7894–7905.
7. Gopalakrishnan, R. (2021). AI-Based Air Quality Forecasting: A Hybrid Approach using CNN-LSTM Models. Journal of Environmental Monitoring and Assessment, 25(3), 459–472.
8. Doreswamy, S., Prasad, S., & Liang, C. (2020). Comparative Analysis of Machine Learning Models for PM2.5 Forecasting Using Long-Term Air Quality Data. Atmospheric Environment, 223, 117243.
9. Zhang, Y., & Xu, Y. (2021). Air Pollution Prediction Using Long Short-Term Memory Networks. IEEE Transactions on Computational Intelligence and AI in Environmental Science, 18(4), 578–589.
10. Li, J., Wang, P., & Zhao, Y. (2022). Integrating IoT and Big Data for Real-Time Air Quality Monitoring and Forecasting. International Journal of Environmental Research and Public Health, 19(6), 3204.
11. Chen, B., & Liu, X. (2020). A Deep Learning Approach for Real-Time Air Quality Prediction Based on Meteorological Data. Neural Networks Journal, 133, 123–135.
12. Singh, N., & Gupta, R. (2019). A Comparative Study of Machine Learning Techniques for Air Pollution Forecasting. Environmental Informatics Journal, 45(2), 98–113.
13. Kaur, S., & Sharma, A. (2022). Spatio-Temporal Analysis of Air Quality Using Remote Sensing and Deep Learning. Remote Sensing Applications in Environmental Science, 28, 114–130.
14. Wang, L., Zhang, M., & He, Z. (2023). Hybrid Machine Learning Model for Air Pollution Prediction in Smart Cities. Smart Cities and Sustainable Development, 10(1), 77–92.
15. Patel, H., & Mehta, P. (2021). Feature Engineering for Improving Air Quality Prediction Models. Journal of Computational Environmental Sciences, 12(3), 289–305.
2. Kumar, K., & Pande, B. P. (2023). Air Pollution Prediction with Machine Learning: A Case Study of Indian Cities. International Journal of Environmental Science and Technology, 20(5333), 5333–5348.
3. Stojov, V., Koteli, N., Lameski, P., & Zdravevski, E. (2018). Application of Machine Learning and Time- Series Analysis for Air Pollution Prediction. Conference Paper, April 2018. Available at: ResearchGate.
4. Hussain, A., Fatima, A., & Khan, A. (2020). Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach. Energies, 13(15), 3930.
5. Castelli, M., Manzoni, L., & Popovic, A. (2020). Forecasting Air Quality in California Using Support Vector Regression Models. Applied Soft Computing, 92, 106264.
6. Rybarczyk, Y., & Zalakeviciute, R. (2021). Machine Learning for Air Quality Predictions in Smart Cities. Environmental Science and Technology, 55(12), 7894–7905.
7. Gopalakrishnan, R. (2021). AI-Based Air Quality Forecasting: A Hybrid Approach using CNN-LSTM Models. Journal of Environmental Monitoring and Assessment, 25(3), 459–472.
8. Doreswamy, S., Prasad, S., & Liang, C. (2020). Comparative Analysis of Machine Learning Models for PM2.5 Forecasting Using Long-Term Air Quality Data. Atmospheric Environment, 223, 117243.
9. Zhang, Y., & Xu, Y. (2021). Air Pollution Prediction Using Long Short-Term Memory Networks. IEEE Transactions on Computational Intelligence and AI in Environmental Science, 18(4), 578–589.
10. Li, J., Wang, P., & Zhao, Y. (2022). Integrating IoT and Big Data for Real-Time Air Quality Monitoring and Forecasting. International Journal of Environmental Research and Public Health, 19(6), 3204.
11. Chen, B., & Liu, X. (2020). A Deep Learning Approach for Real-Time Air Quality Prediction Based on Meteorological Data. Neural Networks Journal, 133, 123–135.
12. Singh, N., & Gupta, R. (2019). A Comparative Study of Machine Learning Techniques for Air Pollution Forecasting. Environmental Informatics Journal, 45(2), 98–113.
13. Kaur, S., & Sharma, A. (2022). Spatio-Temporal Analysis of Air Quality Using Remote Sensing and Deep Learning. Remote Sensing Applications in Environmental Science, 28, 114–130.
14. Wang, L., Zhang, M., & He, Z. (2023). Hybrid Machine Learning Model for Air Pollution Prediction in Smart Cities. Smart Cities and Sustainable Development, 10(1), 77–92.
15. Patel, H., & Mehta, P. (2021). Feature Engineering for Improving Air Quality Prediction Models. Journal of Computational Environmental Sciences, 12(3), 289–305.
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