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Modelling Exposure by Spraying Activities—Status and Future Needs

Author

Listed:
  • Stefan Hahn

    (Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Nikolai-Fuchs-Straße 1, 30625 Hannover, Germany)

  • Jessica Meyer

    (Federal Institute for Occupational Safety and Health BAuA, Friedrich-Henkel-Weg 1-25, 44149 Dortmund, Germany)

  • Michael Roitzsch

    (Federal Institute for Occupational Safety and Health BAuA, Friedrich-Henkel-Weg 1-25, 44149 Dortmund, Germany)

  • Christiaan Delmaar

    (National Institute for Public Health and the Environment RIVM, PB 1, 3720 Bilthoven, The Netherlands)

  • Wolfgang Koch

    (Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Nikolai-Fuchs-Straße 1, 30625 Hannover, Germany)

  • Janine Schwarz

    (Federal Institute for Occupational Safety and Health BAuA, Friedrich-Henkel-Weg 1-25, 44149 Dortmund, Germany)

  • Astrid Heiland

    (Federal Institute for Risk Assessment BfR, Max-Dohrn-Straße 8–10, 10589 Berlin, Germany)

  • Thomas Schendel

    (Federal Institute for Risk Assessment BfR, Max-Dohrn-Straße 8–10, 10589 Berlin, Germany)

  • Christian Jung

    (Federal Institute for Risk Assessment BfR, Max-Dohrn-Straße 8–10, 10589 Berlin, Germany)

  • Urs Schlüter

    (Federal Institute for Occupational Safety and Health BAuA, Friedrich-Henkel-Weg 1-25, 44149 Dortmund, Germany)

Abstract

Spray applications enable a uniform distribution of substances on surfaces in a highly efficient manner, and thus can be found at workplaces as well as in consumer environments. A systematic literature review on modelling exposure by spraying activities has been conducted and status and further needs have been discussed with experts at a symposium. This review summarizes the current knowledge about models and their level of conservatism and accuracy. We found that extraction of relevant information on model performance for spraying from published studies and interpretation of model accuracy proved to be challenging, as the studies often accounted for only a small part of potential spray applications. To achieve a better quality of exposure estimates in the future, more systematic evaluation of models is beneficial, taking into account a representative variety of spray equipment and application patterns. Model predictions could be improved by more accurate consideration of variation in spray equipment. Inter-model harmonization with regard to spray input parameters and appropriate grouping of spray exposure situations is recommended. From a user perspective, a platform or database with information on different spraying equipment and techniques and agreed standard parameters for specific spraying scenarios from different regulations may be useful.

Suggested Citation

  • Stefan Hahn & Jessica Meyer & Michael Roitzsch & Christiaan Delmaar & Wolfgang Koch & Janine Schwarz & Astrid Heiland & Thomas Schendel & Christian Jung & Urs Schlüter, 2021. "Modelling Exposure by Spraying Activities—Status and Future Needs," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7737-:d:598485
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    References listed on IDEAS

    as
    1. Seokwon Lee & Sangjun Choi & Kyoungho Lee, 2020. "Evaluation of Stoffenmanager and a New Exposure Model for Estimating Occupational Exposure to Styrene in the Fiberglass Reinforced Plastics Lamination Process," IJERPH, MDPI, vol. 17(12), pages 1-21, June.
    2. Andrea Spinazzè & Francesca Borghi & Davide Campagnolo & Sabrina Rovelli & Marta Keller & Giacomo Fanti & Andrea Cattaneo & Domenico Maria Cavallo, 2019. "How to Obtain a Reliable Estimate of Occupational Exposure? Review and Discussion of Models’ Reliability," IJERPH, MDPI, vol. 16(15), pages 1-29, August.
    3. John William Cherrie & Wouter Fransman & Gerardus Antonius Henrikus Heussen & Dorothea Koppisch & Keld Alstrup Jensen, 2020. "Exposure Models for REACH and Occupational Safety and Health Regulations," IJERPH, MDPI, vol. 17(2), pages 1-8, January.
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    Cited by:

    1. Martin Tischer & Jessica Meyer, 2022. "A New Model Algorithm for Estimating the Inhalation Exposure Resulting from the Spraying of (Semi)-Volatile Binary Liquid Mixtures (SprayEva)," IJERPH, MDPI, vol. 19(20), pages 1-25, October.

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