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Use of Meteorological Data to Parameterize Statistical Dispersion Models

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Air Pollution Modeling and Its Application V

Part of the book series: NATO · Challenges of Modern Society ((NATS,volume 10))

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Abstract

There is currently much interest in planning responses to accidental releases of toxic materials to the atmosphere. To do this effectively requires prior knowledge of the magnitudes and occurrence frequencies of potential exposures. This in turn requires some knowledge of what might be called the ‘climatology’ of air pollution events. Several workers have reported the frequency distributions of concentrations of tracer materials in urban centres or around single isolated stacks. Various well known statistical distributions have been fitted to such data to describe the observations in terms of a small number of parameters. Such studies dealt with observed concentrations but in the case of a new or planned installation, on-site data do not exist and it is then necessary to predict the ranges, particularly the upper ranges, of potential exposures in the surrounding area. Climatological data from which can be derived estimates of the occurrence frequencies of weather or stability classes, and a wind rose are used for the purpose.

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© 1986 Springer Science+Business Media New York

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Barry, P.J., Robertson, E. (1986). Use of Meteorological Data to Parameterize Statistical Dispersion Models. In: De Wispelaere, C., Schiermeier, F.A., Gillani, N.V. (eds) Air Pollution Modeling and Its Application V. NATO · Challenges of Modern Society, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9125-9_15

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  • DOI: https://doi.org/10.1007/978-1-4757-9125-9_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9127-3

  • Online ISBN: 978-1-4757-9125-9

  • eBook Packages: Springer Book Archive

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