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Automated Collection of Real-Time Alerts of Citizens as a Useful Tool to Continuously Monitor Malodorous Emissions

Author

Listed:
  • Magda Brattoli

    (Apulia Regional Agency for Environmental Prevention and Protection, Corso Trieste 27, 70126 Bari, Italy)

  • Antonio Mazzone

    (Apulia Regional Agency for Environmental Prevention and Protection, Corso Trieste 27, 70126 Bari, Italy)

  • Roberto Giua

    (Apulia Regional Agency for Environmental Prevention and Protection, Corso Trieste 27, 70126 Bari, Italy)

  • Giorgio Assennato

    (Apulia Regional Agency for Environmental Prevention and Protection, Corso Trieste 27, 70126 Bari, Italy)

  • Gianluigi De Gennaro

    (Apulia Regional Agency for Environmental Prevention and Protection, Corso Trieste 27, 70126 Bari, Italy
    Department of Biology, University of Bari Aldo Moro, Via Orabona 4, 70126 Bari, Italy)

Abstract

The evaluation of odor emissions and dispersion is a very arduous topic to face; the real-time monitoring of odor emissions, the identification of chemical components and, with proper certainty, the source of annoyance represent a challenge for stakeholders such as local authorities. The complaints of people, often not systematic and variously distributed, in general do not allow us to quantify the perceived annoyance. Experimental research has been performed to detect and evaluate olfactory annoyance, based on field testing of an innovative monitoring methodology grounded in automatic recording of citizen alerts. It has been applied in Taranto, in the south of Italy where a relevant industrial area is located, by using Odortel ® for automated collection of citizen alerts. To evaluate its reliability, the collection system has been integrated with automated samplers, able to sample odorous air in real time, according to the citizen alerts of annoyance and, moreover, with meteorological data (especially the wind direction) and trends in odor marker compounds, recorded by air quality monitoring stations. The results have allowed us, for the first time, to manage annoyance complaints, test their reliability, and obtain information about the distribution and entity of the odor phenomena, such that we were able to identify, with supporting evidence, the source as an oil refinery plant.

Suggested Citation

  • Magda Brattoli & Antonio Mazzone & Roberto Giua & Giorgio Assennato & Gianluigi De Gennaro, 2016. "Automated Collection of Real-Time Alerts of Citizens as a Useful Tool to Continuously Monitor Malodorous Emissions," IJERPH, MDPI, vol. 13(3), pages 1-11, February.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:3:p:263-:d:64602
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    References listed on IDEAS

    as
    1. Luginaah, Isaac N. & Taylor, S. Martin & Elliott, Susan J. & Eyles, John D., 2000. "A longitudinal study of the health impacts of a petroleum refinery," Social Science & Medicine, Elsevier, vol. 50(7-8), pages 1155-1166, April.
    2. Gösta Axelsson & Leo Stockfelt & Eva Andersson & Anita Gidlof-Gunnarsson & Gerd Sallsten & Lars Barregard, 2013. "Annoyance and Worry in a Petrochemical Industrial Area—Prevalence, Time Trends and Risk Indicators," IJERPH, MDPI, vol. 10(4), pages 1-21, April.
    3. Luginaah, Isaac N. & Martin Taylor, S. & Elliott, Susan J. & Eyles, John D., 2002. "Community reappraisal of the perceived health effects of a petroleum refinery," Social Science & Medicine, Elsevier, vol. 55(1), pages 47-61, July.
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