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Reduced-form and complex ACTM modelling for air quality policy development: A model inter-comparison.
Oxley, Tim; Vieno, Massimo; Woodward, Huw; ApSimon, Helen; Mehlig, Daniel; Beck, Rachel; Nemitz, Eiko; Reis, Stefan.
Afiliación
  • Oxley T; Centre for Environmental Policy, Imperial College London, SW7 2AZ, United Kingdom.
  • Vieno M; UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, United Kingdom.
  • Woodward H; Centre for Environmental Policy, Imperial College London, SW7 2AZ, United Kingdom.
  • ApSimon H; Centre for Environmental Policy, Imperial College London, SW7 2AZ, United Kingdom.
  • Mehlig D; Centre for Environmental Policy, Imperial College London, SW7 2AZ, United Kingdom.
  • Beck R; UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, United Kingdom.
  • Nemitz E; UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, United Kingdom.
  • Reis S; UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, United Kingdom; University of Exeter Medical School, European Centre for Environment and Health, Knowledge Spa, Truro TR1 3HD, United Kingdom; The University of Edinburgh, School of Chemistry, Level 3, Murchison House
Environ Int ; 171: 107676, 2023 01.
Article en En | MEDLINE | ID: mdl-36495675
Simulation models can be valuable tools in supporting development of air pollution policy. However, exploration of future scenarios depends on reliable and robust modelling to provide confidence in outcomes which cannot be tested against measurements. Here we focus on the UK Integrated Assessment Model, a fast reduced-form model with a purpose to support policy development with modelling of multiple alternative future scenarios, and the EMEP4UK model which is a complex Eulerian Atmospheric Chemistry Transport Model requiring significant computing resources. The EMEP4UK model has been used to model selected core scenarios to compare with UKIAM, and to investigate sensitivity studies such as the interannual variability in response to meteorological differences between years. This model intercomparison addresses total PM2.5, primary PM2.5 and Secondary Inorganic Aerosol concentrations for a baseline of 2018 and selected scenarios for projections to 2040. This work has confirmed the robustness of the UK Integrated Assessment Model for assessing alternative futures through a direct comparison with EMEP4UK. Both models have shown good agreement with measurements, and EMEP4UK shows an ability to replicate past trends. These comparisons highlight how a combination of reduced-form modelling (UKIAM) and complex chemical transport modelling (EMEP4UK) can be effectively used in support of air pollution policy development, informing understanding of projected futures in the context of emerging evidence and uncertainties.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Int Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Int Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Países Bajos