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  • [\'Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. de Los Castros s/n, 39005 Santander, Cantabria, Spain. Electronic address: jaime.diez@unican.es.\', \'Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. de Los Castros s/n, 39005 Santander, Cantabria, Spain. Electronic address: sandra.ceballos@unican.es.\', \'Santander Meteorology Group, Dpto. De Matemática Aplicada y Ciencias de la Computación, Universidad de Cantabria, Santander 39005, Spain. Electronic address: rodrigo.manzanas@unican.es.\', \'Department of Nursing, Global Health Research Group, Universidad de Cantabria, Avda. Valdecilla s/n, 39008 Santander, Cantabria, Spain; Research Nursing Group, IDIVAL, Calle Cardenal Herrera Oria s/n, 39011 Santander, Cantabria, Spain. Electronic address: miguel.santibanez@unican.es.\', \'Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. de Los Castros s/n, 39005 Santander, Cantabria, Spain. Electronic address: ignacio.fernandez@unican.es.\']
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  • S0048-9697(22)00878-610.1016/j.scitotenv.2022.153786
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  • The Science of the total environment
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  • 35151743
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?:title
  • Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain.
?:type
?:year
  • 2022

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