New guideline on assessment of odour exposure by using dispersion modelling is looking for volunteers and contributors.

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odour dispersion guideline   A new development on the first worldwide guideline on the assessment of odour exposure by using dispersion modelling will take its first steps. At this stage, there are many initiatives related to dispersion modelling worldwide but there is no specific guideline for odour modelling to our knowledge. This is an initiative promoted by several experts in the area of modelling that will be led by Mr. Günther Schauberger and Ms. Jennifer Barclay. First meeting will take place the 27th of August.

  Modelling odours is complex and many of the guidelines on modelling published around the world fall short in treating this vector. Modelling odours often requires to forget about traditional dispersion modelling operating modes and to focus on exposure. Odours are perceived in seconds or minutes, not hours and this is key in calculating its impact on ambient air. Most odour incidents are generated during calm or very low wind speeds which do not facilitate the dispersion of an odour and that makes modelling challenging. Last, but not least, there is a need to investigate the role of Instrumental Odour Monitoring Systems (IOMS) on the evaluation of model performance.

Odorants Atmospheric Dispersion Forecast around a Pulp Mill Plant

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sesion04 cartelle04   Traditionally, pulp mill plants using Kraft process produce TRS (Total Reduced Sulphur) odorants emissions; this is the case of ENCE-Pontevedra plant.

   In this work, PrOlor operational system for odorants atmospheric dispersion forecast is presented, based in WRF/CALMET/CALPUFF models, and applied to prevent sporadic odor episodes around that plant.

D. Cartelle 1*, J.M. Vellón 1, A. Rodríguez 1,2, D. Valiño 1,2, J.A. González 2, M. Bao 2 and C. Casas 3

1. Troposfera Soluciones Sostenibles, c/ Real, 127, 15401 Ferrol, A Coruña, España.
2. Departamento de Ingeniería Química, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, España.
3. ENCE-Pontevedra, Avda. de Marín, Pontevedra, España

 

Odour source identification in a complex flow environment using a particle trajectory model

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P11Ip   This paper presents a methodology that generates complex flow fields based on the Navier Stokes equations for fine-mode trajectory modelling. Initial u- and v-component of wind is input to the model from an onsite weather station on a 2-minute resolution.

   The perturbated flow is then calculated in an iterative fashion until the numerical solution converges. The results are then be stored and the next initial u- and v-component of wind will be input from the anemometer. Each solution is stored and converted for use in a particle trajectory model.

P. D’Abreton1, R. Ormerod1, L. Marchant2

1 Envirosuite, Brisbane, Australia
2 Envirosuite, Santiago, Chile

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