Enhanced Evaluation Of A Lagrangian-particle
Air Pollution Model Based On A Šaleška Region
Field Data Set
Author(s)
B. Grašič, P. Mlakar, M. Z. Božnar & G. Tinarelli
Abstract
Lagrangian-particle air pollution model is required by Slovenian legislation for
industrial air pollution control because it is the most efficient for small domains
over complex topography. To determine its performance and efficiency for
regulatory purpose a research is made. In this research a general purpose
modelling system designed for local scale areas is used. The main goal of the
research is to define an enhanced statistical analysis used to evaluate an air
pollution model of this kind where an operational configuration of both input
data and model parameters are used and a testing period with very complex
dispersion conditions is used. This enhanced evaluation can help to better
understand the general quality that a model can achieve in these conditions. It
gives some idea on how to better evaluate and use some results that seem to be
very negative simply looking to some statistical parameter.
Keywords: air pollution, model evaluation, Lagrangian particle model, field
data set.
1 Introduction
In accordance with the European Council Directive of 28 June 1984 on
combating air pollution from industrial plants (84/360/EEC) a Slovenian
Government decree on the emission of substances into the atmosphere from
stationary sources of pollution came into force in April 2007. The decree defines
that the performance of the air pollution model used to reconstruct air pollution
Keywords
air pollution, model evaluation, Lagrangian particle model, field
data set.
Related Book
Other papers in this volume
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