The modelling of odour dispersion as a support tool for the improvements of high odours impact plants.
Two scenarios in terms of odour impact assessment were studied during the phase of upgrading of an existing waste treatment plant: CALPUFF was used for the simulation of odour dispersion. Olfactometric measures, carried out over different periods and different positions in the plant, were used for model calibration. Results from simulations were reported in terms of statistics of odour concentrations and isopleths maps of the 98th percentile of the hourly peak concentrations, as requested from the European legislation and standards. The excess perception thresholds and emissions were utilized to address the plant upgrade options. The hourly evaluation of odours was performed to determine the most impacting period of the day. An inverse application of the numerical simulation starting from defining the odour threshold at the receptor was made to allow the definition of the required abatement efficiency at the odours source location. Results from the proposed approach confirmed the likelihood to adopt odour dispersion modelling, not only in the authorization phase, but also as a tool for driving technical and managing actions in plant upgrade so to reduce impacts and improve the public acceptance. The upgrade actions in order to achieve the expected efficiency are reported as well.
['Luciano|Antonella|A|', 'Torretta|Vincenzo|V|', 'Mancini|Giuseppe|G|', 'Eleuteri|Andrea|A|', 'Raboni|Massimo|M|', 'Viotti|Paolo|P|']
D000393:Air Pollutants D000397:Air Pollution D007558:Italy D008962:Models, Theoretical D009812:Odorants D010465:Perception D018505:Waste Management D014919:Wind
odour impact assessment waste treatment plant CALPUFF Atmospheric dispersion biofilter