Correlation of Different Methodologies Applied to study Odours in Fray Bentos city, Rio Negro, Uruguay.

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 sesion05 fernandez pablo  The present work is a joint venture project conducted by the Uruguayan Technological Laboratory (LATU), the National Directorate of the Environment (DINAMA) and the Río Negro’s local government. It consists on the application of different methodologies to address the problem generated by the presence of unpleasant odours in Fray Bentos, Uruguay.

 

J. Zarauz1, C. Luzardo1, A. Curutchet1, L. Francois1, M. Hill2, P. Kok2 y P. Fernández2

  1 Laboratorio Tecnológico del Uruguay (LATU) -Uruguay; 2 Dirección Nacional de Medio Ambiente (DINAMA) -Uruguay

Diagnosis and management of odours generated from the chamber of mixing and distribution of wastewater - CAM04

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P17IP    Approximately 50% of the wastewater from the "big Santiago" (Santiago Metropolitan Region, Chile) converges into the Chamber of Mixing and Distribution of Wastewater - CAM04 to be later conducted towards the Mapocho Trebal Sewage Treatment Plant.

   Due to the considerable amount of the wastewater flow that converges into this chamber, a diagnosis of the odours generated from the CAM04 was carried out, which was based on a field sensory monitoring in the nearby inhabited areas, as well as a dynamic olfactometry campaign and odour dispersion modeling in order to determine the influenced area associated at this source.

F. Chávez, J. Garcés

Aguas Andinas S.A., área de Medio Ambiente y Biodiversidad, Santiago, Chile.

 

Dispersion Modelling

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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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