
A hybrid deep learning model to forecast air quality data based on COVID-19 outbreak in Mashhad, Iran
Author(s) -
Shahne Maryam Zare,
Amir Sezavar,
Najibi Fatemeh
Publication year - 2022
Publication title -
annals of civil and environmental engineering
Language(s) - English
Resource type - Journals
ISSN - 2574-0350
DOI - 10.29328/journal.acee.1001035
Subject(s) - outbreak , air quality index , wind speed , environmental science , covid-19 , meteorology , pandemic , air pollution , pollutant , atmospheric sciences , geography , medicine , disease , biology , virology , ecology , infectious disease (medical specialty) , pathology , geology