Smart Tool for Olfactory Disturbance Reports’ Analysis: the Calambrone Case Study
Gemma, Giuliano
Giovannini, Franco
Barbaro, Antongiulio
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How to Cite

Gemma G., Giovannini F., Barbaro A., 2021, Smart Tool for Olfactory Disturbance Reports’ Analysis: the Calambrone Case Study, Chemical Engineering Transactions, 85, 61-66.
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Abstract

During a study concerning the analysis of bad odours complaints collected in the period June 2019 - February 2020 in the north-east area of Livorno, Italy (specifically Calambrone near Pisa and Stagno area near Livorno), a variety of methods and tools have been developed with the aim to evaluate the reliability of the citizens’ odour perceptions and to identify possible sources of annoyance. The tools and the analytical methods were developed making use of some typical “big data analytics", “machine learning” and “data visualization” techniques. It has been therefore possible to define, implement and test on the area a rapid visualization tool of the possible wind flow starting backward from the time and location of receptor indicated in every report on the local area digital cartography.
The software developed with open source tools makes use of wind data sub-hourly (every 10 or 15 minutes, such as those of the Tuscany Region meteorological network) and will be available in the next future for the territorial Offices of ARPAT as a rapid diagnostic tool to analyse the cases of olfactory disturbance reports.
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