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oic separation distances   A very interesting and open access paper will be published this month in the Journal of Environmental Management. This paper is signed by the well-known experts Marlon Brancher, Martin Piringer, Andreas F.Grauer and Günther Schauberger and deals with the interesting topic of setting up separation distances to avoid odour impacts.

   This study shows that the use of different odour impact criteria (OIC) produces different separation distances between odour sources and residential areas for an equivalent level of protection.

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  The aim of this study was to assess the cost of not regulating odour emissions. For that we have specified a domain in the Spanish region of Euskadi situated in the North of Spain. To perform this analysis, two factors have been considered: 1) The decrease in the property value affected by odour impact and 2) The economic impact on public health.

   To assess the cost of depreciation of odour-affected properties, a list of Activities Potentially Generating Odour Impact (APGOIs) was selected in the Basque Country. With this data, buffers were generated for different areas of odour nuisance, classifying them as serious, moderate and slight. Subsequently, the number of properties with the potential to be affected by odour impact was calculated. This analysis took into account the price per m2 of each municipality in Euskadi. The results showed that the total cost of depreciation of the value of the properties affected by odour impact was 778 and 1164 million euros for areas affected by serious and moderate odour impact, respectively.

 

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gramm gral 20.01   The Graz Lagrangian (GRAL) system is a Lagrangian particle model with a free Graphic User Interface (GUI) available in both Linux and Windows. The last beta was published last November and now the developers have released the version 20.01. The software is now open source under a GPL-3.0 license, so everybody is welcomed to contribute to the project. The source code, has been published in github.

    The Graz Lagrangian Model - GRAL - was initially developed in 1999, and has been used extensively in regulatory assessments and scientific studies. The initial driver for the development of GRAL was the need for a model that could deal with the frequent low-wind-speed conditions (< 1.5 m s-1 for up to 90 per cent of the time) in the inner-Alpine basins of Austria. According to the developers, there are around 600 users worldwide using, the GRAL/GRAMM system.

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