Some issues with odours with a company dedicated to transform agricultural byproducts.

  This study started the 13th of October of 2005 and it is set down to end in April 2007. It is one of the first experiences with e-noses in Spain and it is being carried out by the company J. Canet in collaboration with Jaume I University of Castellon and the Regional Ministry of Catalonia.

Following many complaints from neighbours on the surroundings, the company J. Canet started a program in its factory in ALMASSORALA, to determine if their factory is the responsible for the odours. The company claims that there are other activities that could have some influence on the odours in the area.

E-noses are distributed in different areas around the activity and the network is completed with a weather station. The aim is to have a continuous map of odour pollution.

dispersion modelling

   Modelling of the Dispersion of atmospheric pollutants is today a routine method in environmental air quality management. In the particular case of environmental odour emissions, dispersion models have become indispensable given the difficulty of obtaining a reliable value of odour concentration in immision.

The use of dispersion models helps in the prediction of the impacts on air quality from industrial emission at their sources and it is a valuable argument to propose effective control strategies.

It is also important to consider that the cost of a model usually increases with its complexity and necessary computational resources, as follows:

Eulerian model >> Lagrangian model >> Gaussian model

There is a tendency to label the quality of the models according to their complexity. This sometimes causes errors in the choice of dispersion model, since such a choice should be based on the adequacy of the model to the case study. From this point of view, a model based on the gaussian solution could be sufficient to solve a complex problem and vice versa, an eulerian model may not be adequate for a simple study. The key is to align the selection criteria and validate methods and results.

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