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].

Environ Pollut

Department of Earth and Atmospheric Sciences, University of Houston, TX, 77204, USA. Electronic address:

Published: February 2024

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http://dx.doi.org/10.1016/j.envpol.2023.123102	DOI Listing

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