Integrated systems for forecasting urban meteorology, air pollution and population exposure

Autor: Baklanov, A., Hänninen, O., Slørdal, L. H., Kukkonen, J., Bjergene, N., Fay, B., Finardi, S., Hoe, S. C., Jantunen, M., Karppinen, A., Rasmussen, A., Skouloudis, A., Sokhi, R. S., Sørensen, J. H.
Přispěvatelé: Danish Meteorological Institute (DMI), Finnish National Public Health Institute, Norwegian Institute for Air Research (NILU), Finnish Meteorological Institute (FMI), Norwegian Meteorological Institute [Oslo] (MET), German Weather Service, ARIANET Consulting, Danish Emergency Management Agency, JRC Environment Institute, European Commission - Joint Research Centre [Ispra] (JRC), University of Hertfordshire [Hatfield] (UH), EGU, Publication
Rok vydání: 2006
Předmět:
Zdroj: Atmospheric Chemistry and Physics Discussions
Atmospheric Chemistry and Physics Discussions, European Geosciences Union, 2006, 6 (2), pp.1867-1913
ISSN: 1680-7367
1680-7375
DOI: 10.5194/acpd-6-1867-2006
Popis: Urban air pollution is associated with significant adverse health effects. Model-based abatement strategies are required and developed for the growing urban populations. In the initial development stage, these are focussed on exceedances of air quality standards caused by high short-term pollutant concentrations. Prediction of health effects and implementation of urban air quality information and abatement systems require accurate forecasting of air pollution episodes and population exposure, including modelling of emissions, meteorology, atmospheric dispersion and chemical reaction of pollutants, population mobility, and indoor-outdoor relationship of the pollutants. In the past, these different areas have been treated separately by different models and even institutions. Progress in computer resources and ensuing improvements in numerical weather prediction, air chemistry, and exposure modelling recently allow a unification and integration of the disjunctive models and approaches. The current work presents a novel approach that integrates the latest developments in meteorological, air quality, and population exposure modelling into Urban Air Quality Information and Forecasting Systems (UAQIFS) in the context of the European Union FUMAPEX project. The suggested integrated strategy is demonstrated for examples of the systems in three Nordic cities: Helsinki and Oslo for assessment and forecasting of urban air pollution and Copenhagen for urban emergency preparedness.
Databáze: OpenAIRE
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