Lombardy will finance the development of a public platform for odour reporting

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LombardyDCR   The Regional Council of Lombardy, Italy, published a D.C.R. (Deliberazione Consiglio Regionale) on the 28th of July 2020, for the funding of the development of a platform to implement a control and monitoring system for odorous inputs. The decision of the Regional Environmental Administration of Lombardia was taken after studying the results of the first successful project of mapping odours developed by the Italian Regional Environmental Administration of Marche.

   The idea is to develop an app to register odour observations by citizens so that the environmental regulator can make informed decisions with real time data is not new. There are many applications in the market developed for this purpose, and we have seen how successful this tool is in projects not only in Italy but in many other countries such as the USA, Norway, Australia, Germany, or Spain, to say a few examples of a trend that it is growing rapidly around the world. What it is however new here, is that for the second time, an Environmental Administration has taken the decision of develop an app rather than acquiring it from a private company.

Released version 20.09 of GRAL GRAMM

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gram gral  The Graz Lagrangian (GRAL) system is a Lagrangian particle model with a free Graphic User Interface (GUI) available in both Linux and Windows. Now the developers have released the version 20.09. The software is open source under a GPL-3.0 license, so everybody is welcome to contribute to the project. The source code, has been published in github.

    The version 20.09 of GRAL GRAMM has had some changes and modifications in the code, but focusing mainly in correcting bugs. No major features have been included in this update. See a list of issues solved here.

2nd meeting of the group developing a new guideline on odour exposure modelling

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odour exposure modelling guideline meeting   The 29th of October took place the second meeting of the group that is dealing with the new Guideline on the assessment of odour exposure by using dispersion modelling. 20 experts from around the world got in this meeting to discuss the next steps in this development. The convenors of this initiative Günther Schauberger and Jennifer Barclay presented some interesting and important points to take into account when modelling with a special focus on the peak to mean approaches.

  A set of six areas have been identified as key in dealing with odour impact modelling, that is why a set of 6 Task Groups (TG) have been defined. These are the groups:  TG1: Definitions. TG2: Meteorology. TG3: Emissions and source characterization. TG4: Dispersion algorithm. TG5. Dose-response (including P/M, hedonic tone, percentiles) and TG6. Reporting.  A Task leader have been designated for each TG.

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