OBOMod - Integrated modelling framework for residents' exposure to pesticides

Daniel M Figueiredo; Roel C H Vermeulen; Cor Jacobs; Henk Jan Holterman; Jan C van de Zande; Frederik van den Berg; Yvonne M Gooijer; Luuk Lageschaar; Daan Buijtenhuijs; Esmeralda Krop; Anke Huss; Jan Duyzer

doi:10.1016/j.scitotenv.2022.153798

OBOMod - Integrated modelling framework for residents' exposure to pesticides

Daniel M Figueiredo
, Roel C H Vermeulen
, Cor Jacobs
, Henk Jan Holterman
, Jan C van de Zande
, Frederik van den Berg
, Yvonne M Gooijer
, Luuk Lageschaar
, Daan Buijtenhuijs
, Esmeralda Krop
, Anke Huss
, Jan Duyzer

IRAS OH Epidemiology Chemical Agents

Wageningen University & Research
CLM Onderzoek en Advies BV
TNO Circular Economy and the Environment

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Article number	153798
Pages (from-to)	1-12
Number of pages	12
Journal	Science of the Total Environment
Volume	825
Early online date	10 Feb 2022
DOIs	https://doi.org/10.1016/j.scitotenv.2022.153798
Publication status	Published - 15 Jun 2022

Bibliographical note

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

Keywords

Air
Airborne spray drift
Dust
Emission
Plant protection product
Vapor

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10.1016/j.scitotenv.2022.153798Licence: CC BY

1-s2.0-S0048969722008907-mainFinal published version, 2.12 MBLicence: CC BY

Cite this

Figueiredo, D. M., Vermeulen, R. C. H., Jacobs, C., Holterman, H. J., van de Zande, J. C., van den Berg, F., Gooijer, Y. M., Lageschaar, L., Buijtenhuijs, D., Krop, E., Huss, A., & Duyzer, J. (2022). OBOMod - Integrated modelling framework for residents' exposure to pesticides. Science of the Total Environment, 825, 1-12. Article 153798. https://doi.org/10.1016/j.scitotenv.2022.153798

@article{1e3c72b8ae4c4eeea01ac8a5d009f0c1,

title = "OBOMod - Integrated modelling framework for residents' exposure to pesticides",

abstract = "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.",

keywords = "Air, Airborne spray drift, Dust, Emission, Plant protection product, Vapor",

author = "Figueiredo, \{Daniel M\} and Vermeulen, \{Roel C H\} and Cor Jacobs and Holterman, \{Henk Jan\} and \{van de Zande\}, \{Jan C\} and \{van den Berg\}, Frederik and Gooijer, \{Yvonne M\} and Luuk Lageschaar and Daan Buijtenhuijs and Esmeralda Krop and Anke Huss and Jan Duyzer",

note = "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: {\textcopyright} 2022 The Authors",

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doi = "10.1016/j.scitotenv.2022.153798",

language = "English",

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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 - https://www.scopus.com/pages/publications/85125009557

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 -

OBOMod - Integrated modelling framework for residents' exposure to pesticides

Abstract

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Keywords

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