Cargando…
COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts
This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the spillover and momentum effects of the COVID-19 lockdown policy on the concentration of PM2.5 (particulate matter of diameter less than 2.5 μm) in Wuhan during the COVID-19 pandemic lockdown from 23 January to 8 Apr...
Autores principales: | Gao, Mingyun, Yang, Honglin, Xiao, Qinzi, Goh, Mark |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750743/ https://www.ncbi.nlm.nih.gov/pubmed/35034989 http://dx.doi.org/10.1016/j.seps.2022.101228 |
Ejemplares similares
-
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown
por: Fassò, Alessandro, et al.
Publicado: (2022) -
Impacts of nationwide lockdown due to COVID-19 outbreak on air quality in Bangladesh: a spatiotemporal analysis
por: Islam, Md Sariful, et al.
Publicado: (2020) -
Deep Spatiotemporal Model for COVID-19 Forecasting
por: Muñoz-Organero, Mario, et al.
Publicado: (2022) -
Air quality improvement from COVID-19 lockdown: evidence from China
por: Wang, Meichang, et al.
Publicado: (2020) -
Spatiotemporal trends of selected air quality parameters during force lockdown and its relationship to COVID-19 positive cases in Bangladesh
por: Pal, Sudip K., et al.
Publicado: (2021)