Improvements in Modelling Bystander and Resident Exposure to Pesticide Spray Drift: Investigations into New Approaches for Characterizing the ‘Collection Efficiency’ of the Human Body
| Autor: | Rafael Alanis, M. Clare Butler Ellis, Marc C. Kennedy, Christian J. Kuster, Clive R Tuck |
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| Rok vydání: | 2018 |
| Předmět: |
Air Movements
Empirical data Sprayer Public Health Environmental and Occupational Health Experimental data Agriculture 04 agricultural and veterinary sciences Models Theoretical 010501 environmental sciences Pesticide 01 natural sciences Dermal exposure Occupational Exposure Spray drift Statistics 040103 agronomy & agriculture Bystander effect Humans Regression Analysis 0401 agriculture forestry and fisheries Environmental science Pesticides 0105 earth and related environmental sciences Exposure assessment |
| Zdroj: | Annals of Work Exposures and Health. 62:622-632 |
| ISSN: | 2398-7316 2398-7308 |
| Popis: | The BREAM (Bystander and Resident Exposure Assessment Model) (Kennedy et al. in BREAM: A probabilistic bystander and resident exposure assessment model of spray drift from an agricultural boom sprayer. Comput Electron Agric 2012;88:63-71) for bystander and resident exposure to spray drift from boom sprayers has recently been incorporated into the European Food Safety Authority (EFSA) guidance for determining non-dietary exposures of humans to plant protection products. The component of BREAM, which relates airborne spray concentrations to bystander and resident dermal exposure, has been reviewed to identify whether it is possible to improve this and its description of variability captured in the model. Two approaches have been explored: a more rigorous statistical analysis of the empirical data and a semi-mechanistic model based on established studies combined with new data obtained in a wind tunnel. A statistical comparison between field data and model outputs was used to determine which approach gave the better prediction of exposures. The semi-mechanistic approach gave the better prediction of experimental data and resulted in a reduction in the proposed regulatory values for the 75th and 95th percentiles of the exposure distribution. |
| Databáze: | OpenAIRE |
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