Modelling aggregate exposure to pesticides from dietary and crop spray sources in UK residents
Open Access
- 8 February 2019
- journal article
- research article
- Published by Springer Science and Business Media LLC in Environmental Science and Pollution Research
- Vol. 26 (10), 9892-9907
- https://doi.org/10.1007/s11356-019-04440-7
Abstract
Human exposure to pesticide mixtures can occur from the diet and other sources. Realistic exposure and risk assessments should include multiple sources and compounds and include the relative hazards of the different compounds. The EU-funded Euromix project is developing new web-based tools to facilitate these calculations. A case study is presented that exemplifies their use for a population of UK residents, including exposure from crop-spraying. A UK pesticide usage survey provided information on real pesticide combinations applied to crops of wheat, potatoes, sugar beet and dessert apples. This information was combined with outputs from two alternative simulation models of spray drift to estimate dermal, oral and inhalation exposures of residents. These non-dietary exposures were combined with dietary exposure estimates using the Monte Carlo Risk Assessment software to produce a distribution of aggregated and cumulative exposures. Compounds are weighted by relative potency to generate a measure of overall risk. Uncertainty quantification was also included in the distribution of exposures. These tools are flexible to allow diverse sources of exposure and can provide important information to decision-makers and help to prioritise testing of pesticide mixtures. Including non-dietary sources changed the prioritisation of pesticide mixtures, when compared to dietary exposure alone.Keywords
Funding Information
- Horizon 2020 Framework Programme (633172, H2020-SFS-2014-2)
This publication has 21 references indexed in Scilit:
- Probabilistic modelling for bystander and resident exposure to pesticides using the Browse softwareBiosystems Engineering, 2017
- The BROWSE model for predicting exposures of residents and bystanders to agricultural use of plant protection products: An overviewBiosystems Engineering, 2017
- The ACROPOLIS project: Its aims, achievements, and way forwardFood and Chemical Toxicology, 2015
- The MCRA model for probabilistic single-compound and cumulative risk assessment of pesticidesFood and Chemical Toxicology, 2015
- A European model and case studies for aggregate exposure assessment of pesticidesFood and Chemical Toxicology, 2015
- SHEDS-HT: An Integrated Probabilistic Exposure Model for Prioritizing Exposures to Chemicals with Near-Field and Dietary SourcesEnvironmental Science & Technology, 2014
- Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysisLinear Algebra and its Applications, 2013
- Quantifying children's aggregate (dietary and residential) exposure and dose to permethrin: application and evaluation of EPA's probabilistic SHEDS-Multimedia modelJournal of Exposure Science & Environmental Epidemiology, 2012
- Maximum Cumulative Ratio (MCR) as a Tool for Assessing the Value of Performing a Cumulative Risk AssessmentInternational Journal of Environmental Research and Public Health, 2011
- A modeling framework for estimating children's residential exposure and dose to chlorpyrifos via dermal residue contact and nondietary ingestion.Environmental Health Perspectives, 2000