Air pollutant dispersion modelling
How will a change to an installation affect pollutant concentrations around it? Dispersion modelling compares existing conditions with project alternatives, identifies locations requiring attention and helps assess emission reduction options before a design decision is made.
Understand concentration patterns before selecting a design
We develop the model from source characteristics, emission quantities and the operating conditions of the facility. The study area, assessment points and environmental inputs are selected for the question being addressed. We check whether the available information represents the intended scenario and identify parameters requiring further evidence or a clearly stated assumption.
Calculations describe the spatial distribution of concentrations for the agreed pollutants and scenarios. Alternatives involving operating arrangements, source locations or emission parameters can be compared on a consistent basis. Results are interpreted against criteria relevant to the assessment purpose, highlighting sensitive locations, influential sources and the significance of input data for the conclusions.
A model is a forecasting tool, not a measurement of actual air quality at every location and moment. We explain scenario limitations and circumstances requiring additional evidence. This enables the designer or operator to decide whether to adjust the technical solution, investigate another alternative or incorporate the findings into broader environmental documentation.
Technical data
| Subject | Dispersion of agreed pollutants around identified emission sources. |
|---|---|
| Service type | Computational modelling and comparison of emission scenarios. |
| Assessment basis and requirements | Emission, source and environmental data; methods and assessment criteria selected for the location and documentation purpose. |
| Method |
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| Delivery model | KFB Enviro |
What you receive
You receive the model in an agreed form, results maps and an assessment report. The report explains inputs, scenarios, interpretation criteria and calculation limitations. Conclusions highlight differences between alternatives and issues requiring attention from the designer or operator, so the output supports a practical decision rather than simply presenting a collection of maps.