TY - JOUR
T1 - OBOMod - Integrated modelling framework for residents' exposure to pesticides
AU - Figueiredo, Daniel M
AU - Vermeulen, Roel C H
AU - Jacobs, Cor
AU - Holterman, Henk Jan
AU - van de Zande, Jan C
AU - van den Berg, Frederik
AU - Gooijer, Yvonne M
AU - Lageschaar, Luuk
AU - Buijtenhuijs, Daan
AU - Krop, Esmeralda
AU - Huss, Anke
AU - Duyzer, Jan
N1 - Funding Information:
This study was funded by the Dutch Ministry of Infrastructure and Water Management and the Ministry of Economic Afairs & Climate Policy . This work was commissioned by the Dutch National Institute for Public Health and the Environment (RIVM). We would like to thank all participants and growers for their willingness to participate in this study, the stakeholders for continuous feedback given and all the parties involved in the OBO study group.
Funding Information:
This study was funded by the Dutch Ministry of Infrastructure and Water Management and the Ministry of Economic Afairs & Climate Policy. This work was commissioned by the Dutch National Institute for Public Health and the Environment (RIVM). We would like to thank all participants and growers for their willingness to participate in this study, the stakeholders for continuous feedback given and all the parties involved in the OBO study group.
Publisher Copyright:
© 2022 The Authors
PY - 2022/6/15
Y1 - 2022/6/15
N2 - BACKGROUND: Pesticides can be transported from the site of application to homes via different routes and lead to exposure of residents, raising concerns regarding health effects. We built a deterministic model framework (OBOmod) to assess exposure of residents living near fields where pesticides are applied.METHODS: OBOmod connects five independent models operating on an hourly timescale and high spatial resolution (meters). Models include descriptions of spray drift, volatilization, atmospheric transport and dispersion, exchange between outdoor and indoor air and exchange between indoor air and dust. Fourteen bulb field applications under different weather conditions and comprising 12 pesticides were simulated. Each simulation included the first seven days after the application. The concentrations computed with OBOmod were compared with those measured in outdoor and indoor air and the amounts measured in indoor dust samples.RESULTS: Model evaluation indicated suitability of the developed framework to estimate outdoor and indoor air concentrations. For most pesticides, model accuracy was good. The framework explained about 30% to 95% of the temporal and spatial variability of air concentrations. For 20% of the simulations, the framework explained more than 35% of spatial variability of concentrations in dust. In general, OBOmod estimates remained within one order of magnitude from measured levels. Calculations showed that in addition to spray drift during application, volatilization from the field after spraying and pesticides in house dust are important routes for residents' exposure to pesticides.CONCLUSIONS: Our framework covers many processes needed to calculate exposure of residents to pesticides. The evaluation phase shows that, with the exception of the dust model, the framework can be used in support of health and epidemiological studies, and can serve as a tool to support development of regulations and policy making regarding pesticide use.
AB - BACKGROUND: Pesticides can be transported from the site of application to homes via different routes and lead to exposure of residents, raising concerns regarding health effects. We built a deterministic model framework (OBOmod) to assess exposure of residents living near fields where pesticides are applied.METHODS: OBOmod connects five independent models operating on an hourly timescale and high spatial resolution (meters). Models include descriptions of spray drift, volatilization, atmospheric transport and dispersion, exchange between outdoor and indoor air and exchange between indoor air and dust. Fourteen bulb field applications under different weather conditions and comprising 12 pesticides were simulated. Each simulation included the first seven days after the application. The concentrations computed with OBOmod were compared with those measured in outdoor and indoor air and the amounts measured in indoor dust samples.RESULTS: Model evaluation indicated suitability of the developed framework to estimate outdoor and indoor air concentrations. For most pesticides, model accuracy was good. The framework explained about 30% to 95% of the temporal and spatial variability of air concentrations. For 20% of the simulations, the framework explained more than 35% of spatial variability of concentrations in dust. In general, OBOmod estimates remained within one order of magnitude from measured levels. Calculations showed that in addition to spray drift during application, volatilization from the field after spraying and pesticides in house dust are important routes for residents' exposure to pesticides.CONCLUSIONS: Our framework covers many processes needed to calculate exposure of residents to pesticides. The evaluation phase shows that, with the exception of the dust model, the framework can be used in support of health and epidemiological studies, and can serve as a tool to support development of regulations and policy making regarding pesticide use.
KW - Air
KW - Airborne spray drift
KW - Dust
KW - Emission
KW - Plant protection product
KW - Vapor
UR - http://www.scopus.com/inward/record.url?scp=85125009557&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2022.153798
DO - 10.1016/j.scitotenv.2022.153798
M3 - Article
C2 - 35151737
SN - 0048-9697
VL - 825
SP - 1
EP - 12
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 153798
ER -