Predictive modeling of air quality in the Tehran megacity via deep learning techniques

Predictive modeling of air quality in the Tehran megacity via deep learning techniques

Abstract Air pollution is a significant challenge in metropolitan areas, where increasing amounts of air pollutants threaten public health and environmental safety. The present study aims to forecast the concentrations of various air pollutants, including CO, O3, NO2, SO2, PM10, and PM2.5, from 2013...

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Bibliographic Details
Main Authors: Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Environmental modeling
Deep learning
Machine learning
Air quality prediction
Air pollution
Online Access:https://doi.org/10.1038/s41598-024-84550-6
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