Corrigendum to "Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forecasting AQI and PM10 and evaluating health impacts through AirQ+ (case study: Tehran)" [Environ. Pollut., 338 (2023) 122623]

Affiliations

• ¹ Department of Earth and Atmospheric Sciences, University of Houston, TX, 77204, USA.
• ² Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, 1416634793, Iran.
• ³ Research Center of Environment and Sustainable Development (RCESD), Tehran, Tehran, 141551156, Iran.
• ⁴ Department of Mechanical Engineering, College of Technical and Engineerin, Central Tehran University, Tehran, 1148963537, Iran.
• ⁵ Department of Geography and Urban Planning, Shahid Beheshti University, Tehran, 1983969411, Iran.
• ⁶ Department of Environment, Faculty of Natural Resources, Tehran University, Karaj, 1417935840, Iran.
• ⁷ Department of Earth and Atmospheric Sciences, University of Houston, TX, 77204, USA. Electronic address: ychoi23@central.uh.edu.