Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model

Author:

Koivisto Antti JoonasORCID,Spinazzè AndreaORCID,Verdonck Frederik,Borghi FrancescaORCID,Löndahl JakobORCID,Koponen Ismo Kalevi,Verpaele StevenORCID,Jayjock Michael,Hussein Tareq,Lopez de Ipiña JesusORCID,Arnold Susan,Furxhi Irini

Abstract

Background: The Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) regulation requires the establishment of Conditions of Use (CoU) for all exposure scenarios to ensure good communication of safe working practices. Setting CoU requires the risk assessment of all relevant Contributing Scenarios (CSs) in the exposure scenario. A new CS has to be created whenever an Operational Condition (OC) is changed, resulting in an excessive number of exposure assessments. An efficient solution is to quantify OC concentrations and to identify reasonable worst-case scenarios with probabilistic exposure modeling. Methods: Here, we appoint CoU for powder pouring during the industrial manufacturing of a paint batch by quantifying OC exposure levels and exposure determinants. The quantification was performed by using stationary measurements and a probabilistic Near-Field/Far-Field (NF/FF) exposure model. Work shift and OC concentration levels were quantified for pouring TiO2 from big bags and small bags, pouring Micro Mica from small bags, and cleaning. The impact of exposure determinants on NF concentration level was quantified by (1) assessing exposure determinants correlation with the NF exposure level and (2) by performing simulations with different OCs. Results: Emission rate, air mixing between NF and FF and local ventilation were the most relevant exposure determinants affecting NF concentrations. Potentially risky OCs were identified by performing Reasonable Worst Case (RWC) simulations and by comparing the exposure 95th percentile distribution with 10% of the occupational exposure limit value (OELV). The CS was shown safe except in RWC scenario (ventilation rate from 0.4 to 1.6 1/h, 100 m3 room, no local ventilation, and NF ventilation of 1.6 m3/min). Conclusions: The CoU assessment was considered to comply with European Chemicals Agency (ECHA) legislation and EN 689 exposure assessment strategy for testing compliance with OEL values. One RWC scenario would require measurements since the exposure level was 12.5% of the OELV.

Funder

Horizon 2020 Framework Programme

Publisher

F1000 Research Ltd

Subject

Ocean Engineering,Safety, Risk, Reliability and Quality

Reference37 articles.

1. A Survey of Wind Speeds in Indoor Workplaces.;P Baldwin;Ann Occup Hyg.,1998

2. An investigation of wind conditions in the workplace to assess their affect on the quantity of dust inhaled.;R Berry,1989

3. Personal and static sample measurements are related.;J Cherrie;Occup Environ Med.,2004

4. Updating the 2020 New Industrial Strategy: Building a stronger Single Market for Europe’s recovery.,2021

5. Chemicals Strategy for Sustainability Towards a Toxic-Free Environment.,2020

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