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   The GRAL Dispersion Model/GUI has been updated to version 24.11, with several new features and critical bug fixes. This release brings enhancements designed to improve user experience and functionality.

   The high-resolution model system GRAMM/GRAL, developed at the Institute of Thermodynamics and Sustainable Propulsion Systems at Graz University of Technology, has become a benchmark for dispersion modelling in urban areas, both in scientific research, as well as in regulatory assessments. The model is especially suitable for low-wind speed conditions and complex terrain. An integrated micro-scale flow-field model takes the effect of buildings on pollutant dispersion into account. A new version of this system has been released with the following features:

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   The new GRAL version 24.11 has been released, bringing important bug fixes, enhanced visualisations, and new features that improve the overall user experience. This update addresses issues in odour percentile calculations and source group management, introduces expanded export options, and changes the installation process to offer greater flexibility. The software remains open source, with its full code available on GitHub for those interested in exploring it further.

   The release of GRAL 24.11 has sparked considerable interest among users of this atmospheric dispersion model. This version not only fixes bugs that previously affected the stability of certain functions but also adds visual and technical improvements that could transform how the tool is used in scientific and professional contexts. For those relying on GRAL, the update presents an opportunity to explore new capabilities and enhance their analyses.

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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.

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