Estimating ground-level PM2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh
Author:
Funder
King Khalid University
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution
Link
https://link.springer.com/content/pdf/10.1007/s11869-023-01329-w.pdf
Reference81 articles.
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3. Antanasijević DZ, Pocajt VV, Povrenović DS, Ristić MĐ, Perić-Grujić AA (2013) PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization. Sci Total Environ 443:511–519
4. Arhami M, Kamali N, Rajabi MM (2013) Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations. Environ Sci Pollut R 20:4777–4789. https://doi.org/10.1007/s11356-012-1451-6
5. Begum BA, Hopke PK (2018) Ambient air quality in Dhaka Bangladesh over two 522 decades: impacts of policy on air quality aerosol air qual. Res. 18:1910–1920
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