1994 | OriginalPaper | Chapter
Recurrence of Extreme Concentrations
Author : Leif Kristensen
Published in: Air Pollution Modeling and Its Application X
Publisher: Springer US
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We have known for many years that atmospheric dispersion modeling should include not only predictions of mean concentrations of pollutants, but also information about possible extreme events, i.e. probabilistic statements about deviations from the predicted mean concentrations. One way of complying with this requirement is to predict, as a function of time and space, the variance together with the mean of the concentration. With an assumption about the form of the probability density it will then be possible to calculate the probability that, at any given time, the concentration will exceed a particular value. Relevant discussions can be found in Chatwin and Sullivan (1993) and references therein.