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Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM2.5 during the COVID-19 outbreak in Hubei Province, China

Hongwei Liu, Fange Yue, Zhouqing Xie

2022Environmental Pollution58 citationsDOIOpen Access PDF

Topics & Concepts

Environmental scienceAir pollutionPollutionOutbreakChinaCoronavirus disease 2019 (COVID-19)MeteorologyClimatologyAtmospheric sciencesEnvironmental protectionGeographyMedicineInfectious disease (medical specialty)ArchaeologyGeologyOrganic chemistryChemistryVirologyDiseasePathologyEcologyBiologyAir Quality and Health ImpactsAir Quality Monitoring and ForecastingAtmospheric chemistry and aerosols
Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM2.5 during the COVID-19 outbreak in Hubei Province, China | Litcius