Wind Rose Pro3

wind rose pro3   A fundamental operation performing odor impact assessment is the analysis of meteorological data, particularly wind direction and speed. Such an analysis allows for example to evaluate the number of calms, which may give raise to high concentration values, and to spot possible errors in meteorological data before using them in an atmospheric dispersion models. Moreover, the determination of the prevailing wind direction allows to understand if possible sources are generally upwind of the potential receptors.

   Software tools capable to visualize the wind data easily and in a very short time are therefore very important, because they allow to perform quality assurance before using the data in dispersion simulation models.

 Regional odor project  The Everett – Marysville area has a complex olfactory landscape. Several industrial and municipal activities located nearby generate odors that could, in some operational and meteorological circumstances, be perceived by the surrounding communities. Amongst the sources of odor generation, there are a number of contributors including: a composting plant, top soil facility, a wood yard and chip processing, landfill and 3 WWTP.

   Many of these odors have similar character. To better understand how the odors are being produced and the best ways to reduce them, the Local Air Agency started an odor monitoring project in the area.

Thierry Pagé1 and Raymond C. Porter2

1 CEO, Odotech, 3333 Queen-Mary bur 301, Montreal, QC, Canada, H3V1A2,

2 Senior Air Quality Meteorologist and knowledge leader, Odotech, Reading, MA, 01867-1224 USA


 The acronym Omniscientis stands for Odour MoNitoring and Information System based on CItizEn and Technology Innovative Sensors. Appart from being a rather complicated way of naming a project, what is there behind this EU funded project?

   This project is coordinated by the Belgian company Spacebel S.A and counts on partners from Belgium, Austria, Luxembourg and France. The idea behind this project is to improve the performance of an Environmental Information Management System, using direct observations from citizens, real time measurement of odours near the sources with sensors, process parameters and modelling odour dispersion.

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