Estimation of short-lived climate forced sulfur dioxide in Tehran, Iran, using machine learning analysis

This paper presents a time-series analysis of SO(2) air concentration and the effects of particulates (either PM(2.5) and PM(10)) concentrations and meteorological conditions (relative humidity and wind speed) on SO(2) trend in Tehran for the period from 2011 to 2020. The source data were obtained f...

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Detalles Bibliográficos
Autores principales: Borhani, Faezeh, Shafiepour Motlagh, Majid, Rashidi, Yousef, Ehsani, Amir Houshang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741550/
https://www.ncbi.nlm.nih.gov/pubmed/35035281
http://dx.doi.org/10.1007/s00477-021-02167-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741550/
https://www.ncbi.nlm.nih.gov/pubmed/35035281
http://dx.doi.org/10.1007/s00477-021-02167-x

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