An introduction to air pollution modelling and more



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Smoke stacks
Air pollution modelling – What is it and what can it tell us?
Ever looked at a chimney or stack and wondered how far the plume has an impact? Ever sat in traffic and wondered what the impact of all the vehicles was and how far away that impact was felt? Well, air pollution models can help answer those questions.
 Air pollution modelling is the term used to describe using mathematical theory to understand or predict the way pollutants behave in the atmosphere.
Modelling can be used to run scenarios, to test theories and understand environmental impact under different emission rates, weather and development scenarios. There are lots of different methods and techniques, but the goal is always the same – make an assessment of pollutant impact over a given area using an existing set of data. To do this we make some assumptions, we use some rules, and we add some data.
An assumption is something we assume to hold true in all model conditions. So we assume that the atmosphere behaves in a predictable way, and that plumes behave in a known way.
We use some rules: like emission factors or emission rates – these are things we know – like the volume and composition of an emission source, or the reactions emissions undergo in the atmosphere. Finally we add some data – most commonly meteorological and terrain data. The model is only as good as the data we feed it.

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