P13I0   Environmental odour management today offers a variety of building blocks, ranging from the use of state-of-the-art technology to the implementation of various methods, which are based on national and international guidelines and standards. These range from odour monitoring approaches using trained human sensory panels and citizen science, real-time and forecasted dynamic dispersion modelling, trajectory and back-tracking calculations, but also sensor systems which are making use of gas sensors to detect and quantify key odorants of odour sources.

   Although all of these technologies and methods can help to increase the understanding of potential origins of odour related problems, most solutions available in the market only allow an isolated consideration of the acquired data. Depending on the specific scenario and related questions, however, the right combination of these building blocks is often key to get full clarity on the odour emission and / or impact situation. A flexible platform like Ortelium allows to combine data channels, so that a more meaningful picture of the odour situation can be established.

C. Mannebeck*, M. Andresen

Olfasense GmbH, Fraunhoferstr. 13, 24118 Kiel, Germany,
*cmannebeck@olfasense.com

calpuff update oct 19   CALPUFF Version 7.3.1 has been released. This version incorporates an agricultural spraying source type. In addition, several bugs were identified and fixed in Version 7.2.1 including issues with the use of multiple sub-hourly variable emissions files and processing missing layers in AERMET generated .PFL files. This model is out of the list of recommended models of the US EPA but it is the most appropriate under low wind/calm conditions that influence odour impact and with complex terrains. 

  The CALPUFF Modelling System is a non-steady-state puff dispersion model that simulates the effects of time- and space-varying meteorological conditions on pollution transport, transformation, and removal. In this CALPUFF has been updated to version 7.3.1. CALPUFF is composed of several post-processors. In this new version the post-processors CALPOST, CALSUM and POSTUTIL, have also been updated to allow processing of the new spray source type.

gram gral website picture   The Graz Lagrangian (GRAL) system is a closed-source Lagrangian particle model with a free Graphic User Interface (GUI) available in both Linux and Windows. This model has a special module focused on odour dispersion modelling and now, a new beta release has been distributed in the mail list of users, with an extensive list of changes.

   People interested in testing and trying this new beta, should subscribe to the official website of the project here. The current version 19.1 has been updated to the version 20.1. According to the release notes, this is the third beta of this version. There is no information on when the final version will be released.

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