Spatio-temporal modelling of changes in air pollution exposure associated to the COVID-19 lockdown measures across Europe

标题
Spatio-temporal modelling of changes in air pollution exposure associated to the COVID-19 lockdown measures across Europe
作者
关键词
PM, 2.5, NO, 2, Gaussian processes, Bayesian inference, Air quality policy evaluation, Copernicus
出版物
SCIENCE OF THE TOTAL ENVIRONMENT
Volume -, Issue -, Pages 147607
出版商
Elsevier BV
发表日期
2021-05-11
DOI
10.1016/j.scitotenv.2021.147607

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