Corpus ID: 233346958

A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

  title={A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK},
  author={Thomas Pinder and M. Hollaway and C. Nemeth and P. Young and David Leslie},
In March 2020 the United Kingdom (UK) entered a nationwide lockdown period due to the Covid-19 pandemic. As a result, levels of NO2 in the atmosphere dropped. In this work, we use over 550,134 NO2 data points from 237 stations in the UK to build a spatiotemporal Gaussian process (GP) capable of predicting NO2 levels across the entire UK. We integrate several covariate datasets to enhance the model’s ability to capture the complex spatiotemporal dynamics of NO2. Our numerical analyses show that… Expand

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