Meteorological Eulerian models like WRF, combined with Gaussian and Lagrangian dispersion models, are commonly used to assess odor impact from emissions measured by dynamic olfactometry, with four specific models (PMSS, GRAL, CALMET/CALPUFF, and AERMOD) tested for performance evaluation.

   The choice of model must be tailored to the specific environmental conditions, source characteristics and project objectives, so no one model is universally superior to others. This nuanced understanding of model applicability is vital to the effectiveness of odor management strategies in various environments, including urban and industrial settings.

R. Cerdá1*, O. Carter2, C. Dupuis3, L. Ricolleau3, C. Pozzi4, D. Valiño1

1 SUEZ SMART ENVIRONMENTAL SOLUTIONS, Spain
2 SUEZ ADVANCED SOLUTIONS UK,
3 ARIA TECHNOLOGIES – SUEZ Air & Climate, France
4ARIANET – SUEZ Air & Climate, Italy

* ruben.cerda@suez.com

   With the new odour standard for swine facilities in Chile, Maxagro and the industry face the challenge of advancing towards sustainable production and managing community expectations.

   Despite technological investments that have reduced odours by over 75%, the perception of low-level odours can still lead to complaints. Maxagro actively works with the community to improve understanding and social well-being.

E. Ellmen

Maxagro, Chile. eellmen@maxagro.cl

   Traditional methodologies for evaluating odour pollution are effective in most cases but insufficient for complex situations with multiple sources and various odours.

   OdourCollect, developed by Science for Change, offers a comprehensive citizen science-based solution for odour monitoring and management, complying with the UNE 77270:2023 standard. The platform centralizes information and enables real-time analysis, encouraging citizen participation and integrating additional data for improved decision-making.

Rosa Arias. Johana Burbano

  C. de Vilamarí, 50, Planta 7, Eixample, 08015 Barcelona

rosa.arias@scienceforchange.eu

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