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Air quality in enclosed railway stations: Quantifying the impact of diesel trains through deployment of multi-site measurement and random forest modelling.
Font, Anna; Tremper, Anja H; Lin, Chun; Priestman, Max; Marsh, Daniel; Woods, Michael; Heal, Mathew R; Green, David C.
Afiliación
  • Font A; MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK. Electronic address: anna.font_font@kcl.ac.uk.
  • Tremper AH; MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK.
  • Lin C; School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, UK.
  • Priestman M; MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK.
  • Marsh D; MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK.
  • Woods M; RSSB, The Helicon, 1 South Place, London, EC2M 2RB, UK.
  • Heal MR; School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, UK.
  • Green DC; MRC PHE Centre for Environment and Health, King's College London, 150 Stamford St, London, SE1 9NH, UK.
Environ Pollut ; 262: 114284, 2020 Jul.
Article en En | MEDLINE | ID: mdl-32443191
ABSTRACT
Concentrations of the air pollutants (NO2 and particulate matter) were measured for several months and at multiple locations inside and outside two enclosed railway stations in the United Kingdom - Edinburgh Waverly (EDB) and London King's Cross (KGX) - which, respectively, had at the time 59% and 18% of their train services powered by diesel engines. Average concentrations of NO2 were above the 40 µg m-3 annual limit value outside the stations and were further elevated inside, especially at EDB. Concentrations of PM2.5 inside the stations were 30-40% higher at EDB than outside and up to 20% higher at KGX. Concentrations of both NO2 and PM2.5 were highest closer to the platforms, especially those with a higher frequency of diesel services. A random-forest regression model was used to quantify the impact of numbers of different types of diesel trains on measured concentrations allowing prediction of the impact of individual diesel-powered rolling stock.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Clinical_trials / Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Clinical_trials / Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2020 Tipo del documento: Article