cilindro   Some guidelines are necessary to help environmental managers of industrial plants and environmental technicians of Environmental Regulatory offices in order to avoid mistakes when choosing dispersion modelling software.

 

Diaz C.1; Cartelle D.2 and Barclay J.3

(1) SVPA, Gerena, Spain (2) Troposfera, Ferrol, Spain (3) independent consultant, Auckland, New Zealand

   Corresponding author: carlosdiaz@olores.org

   Competing interests: The author has declared that no competing interests exist.

   Academic editor: Carlos N Díaz.

   Content quality: This paper has been peer reviewed by at least two reviewers. See scientific committee here

   Citation:Diaz C., Cartelle D., Barclay J., 2014, Revision of Regulatory Dispersion Models, an Important Key in Environmental Odour Management, Ist International Seminar of Odours in the Environment, Santiago, Chile, www.olores.org

   Copyright: 2014 olores.org. Open Content Creative Commons license., It is allowed to download, reuse, reprint, modify, distribute, and/or copy articles in olores.org website, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

   Keywords: subhourly data, topography, average time, peak to mean relation, calm and light winds

   Acronyms: APGNO: Activity that may Potentially Generate Nuisance by Odours, IEA: Integrated Environmental Authorisation, AAE: Authorisation for Atmospheric Emissions, EIA: Environmental Impact Assessment, FB: Fractional Bias; NMSE Normalised Mean Square Error; GM Geometric Mean Bias, WWTP: Waste water Treatment Plant.

usepa calpuff 5 8s   The USEPA has approved an update of CALMET and CALPUFF from V5.8 (dated June 23, 2007) to V5.8.4 (dated July 31, 2013).

   CALPUFF is a multi-layer, multi-species non-steady-state puff dispersion model that simulates the effects of time- and space-varying meteorological conditions on pollution transport, transformation and removal.  CALPUFF can be applied on scales of tens to hundreds of kilometers.  It includes algorithms for subgrid scale effects (such as terrain impingement), as well as, longer range effects (such as pollutant removal due to wet scavenging and dry deposition, chemical transformation, and visibility effects of particulate matter concentrations).

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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