"Using ALADIN to forecast meteorological conditions that are extremely unfavorable for the dispersion of pollution"
Authors
Termonia, P.
Discipline
Earth and related Environmental sciences
Subject
ALADIN meteorological conditions
Pollution
NWP model
Audience
General Public
Scientific
Date
2002Publisher
IRM
KMI
RMI
Metadata
Show full item recordDescription
A new index that characterizes a typical length of horizontal and vertical transport is proposed to predict meteorological conditions that are unfavorable for the dispersion of air pollution. This index can be easily computed from the model output of a mesoscale NWP model and can be easily interpreted by a forecaster. It is shown that, for situations of low wind speed and stable atmosphere when atmospheric transport is weak, this index is sufficient to make reliable predictions of peaks of extreme concentrations of some pollutants whose concentrations are predominantly determined by a constant emission. The relation between this index computed from the output of the Aire Limite´e Adaption Dynamique De´veloppement International (ALADIN) NWP model and the extreme concentrations of the pollutant nitrogen dioxide (NO2) during winter in the Brussels, Belgium, capital area is discussed in detail. Although the concentrations of NO2 are also determined by chemical reaction of nitric oxide with ozone, the fact is used that, for strong pollution events during typical meteorological winter situations in Brussels (having low background concentrations of ozone), the high concentrations of NO2 are mostly determined by direct NO2 emission. It is also shown that by the same method some extreme concentrations of particulate matter with diameter ,10 mm (PM10) can be predicted to some extent.
Citation
Termonia, P. (2002). "Using ALADIN to forecast meteorological conditions that are extremely unfavorable for the dispersion of pollution". , Issue 12th ALADIN workshop on Scientific development and operational exploitation of ALADIN model, June 3-6 2002, Medulin, Croatia, IRM,Identifiers
Type
Article
Peer-Review
Not pertinent
Language
eng