IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p10855-d1191376.html
   My bibliography  Save this article

A Score Index System for a Semi-Quantitative Assessment of Inhalation Risks at Contaminated Sites

Author

Listed:
  • Maria Dalma Mangiapia

    (Department of Civil Engineering and Computer Science Engineering, University of Rome “Tor Vergata”, Via del Politecnico, 1, 00133 Rome, Italy)

  • Iason Verginelli

    (Department of Civil Engineering and Computer Science Engineering, University of Rome “Tor Vergata”, Via del Politecnico, 1, 00133 Rome, Italy)

  • Renato Baciocchi

    (Department of Civil Engineering and Computer Science Engineering, University of Rome “Tor Vergata”, Via del Politecnico, 1, 00133 Rome, Italy)

  • Maria Paola Bogliolo

    (Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements—National Institute for Insurance against Accidents at Work (INAIL), Via Roberto Ferruzzi 38/40, 00143 Rome, Italy)

  • Simona Berardi

    (Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements—National Institute for Insurance against Accidents at Work (INAIL), Via Roberto Ferruzzi 38/40, 00143 Rome, Italy)

Abstract

Risk assessment of contaminated sites is typically applied following a tiered approach with increasing levels of complexity. In the standard risk-based corrective action (RBCA) procedure issued by the American Society for Testing and Materials (ASTM), the site-specific evaluation is carried out using fate and transport models that require a relatively large amount of input data. In this work, we introduce a site-specific score index system for a preliminary assessment of the inhalation risks related to contaminants in soil or groundwater that resembles the modeling approaches typically adopted for chemical risk assessment in the field of industrial hygiene. In the developed system, a risk index for the outdoor and indoor volatilization pathways is calculated as the ratio between the calculated concentration at the point of exposure for the contaminant of concern and the corresponding acceptable concentration in air. The concentration at the point of exposure for each contaminant of concern is estimated through simple algorithms that involve a limited number of indexes that depend on the parameters that affect the exposure scenario. This qualitative assessment is then converted into a semi-quantitative approach by introducing scaling factors that were calibrated using the ASTM RBCA fate and transport models. The procedure was validated against the standard RBCA procedure by performing a simple Monte Carlo analysis with 10,000 simulations with randomly varying site-specific parameters. The developed score index system resulted in a conservative estimate of the risks, with percentages of false negatives lower than 1% and false positives lower than 15%. This means that the developed system allows one to screen out sites from further evaluations in more than 80% of cases, while ensuring a conservative estimate of the expected risks. The application to a real case study of a contaminated site confirmed the suitability of the developed approach.

Suggested Citation

  • Maria Dalma Mangiapia & Iason Verginelli & Renato Baciocchi & Maria Paola Bogliolo & Simona Berardi, 2023. "A Score Index System for a Semi-Quantitative Assessment of Inhalation Risks at Contaminated Sites," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10855-:d:1191376
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/10855/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/14/10855/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10855-:d:1191376. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.