Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina

Autores
Brodeur, Celine Marie; D'andrea, María Florencia; Dip, Cecilia
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Although pesticides are used intensively in Argentina's Pampa region, the possibility of performing an environmental risk assessment (ERA) remains limited due to the absence of readily available databases to run pesticide fate models and the lack of standardized realistic worst‐case scenarios. The aim of the present study was to further advance capacities for performing probabilistic ERAs in the Pampa region by dividing and parameterizing the region into functional soil–climate mapping units (SCU) and defining statistically based, worst‐case soil–climate exposure scenarios. Results obtained demonstrate that the SCU selected for a specific modeling exercise should depend on the dissociation constant (Kd) of the pesticide evaluated and whether short‐ or long‐term pesticide fate modeling and risk assessment are needed. Four regionally representative SCUs were specifically identified for modeling the fate of pesticides with low, high, and intermediate values of Kd. Fate modeling of pesticides with an intermediate Kd requires the use of a different SCU for short‐ versus long‐term pesticide modeling, whereas this distinction is not necessary for pesticides with both low and high Kd. The current definition of realistic, worst‐case, soil–climate scenarios represents a crucial step toward better pesticide fate modeling and exposure assessment in Argentina's Pampa region.
Fil: Brodeur, Celine Marie Julie. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: D'Andrea, María Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Dip, Cecilia. Institut National de la Recherche Scientifique. Centre Eua Terre Environnement; Canadá
Fuente
Integrated Environmental Assessment and Management 18 (5) : 1-12 (2022)
Materia
Agriculture
Pesticides
Agricultura
Plaguicidas
Exposure Scenarios
Risk Assessment Water Contamination
Escenarios de Exposición
Evaluación de Riesgos Contaminación del Agua
Región Pampeana
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/13125
Acceder
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oai_identifier_str oai:localhost:20.500.12123/13125
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spelling Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of ArgentinaBrodeur, Celine MarieD'andrea, María FlorenciaDip, CeciliaAgriculturePesticidesAgriculturaPlaguicidasExposure ScenariosRisk Assessment Water ContaminationEscenarios de ExposiciónEvaluación de Riesgos Contaminación del AguaRegión PampeanaAlthough pesticides are used intensively in Argentina's Pampa region, the possibility of performing an environmental risk assessment (ERA) remains limited due to the absence of readily available databases to run pesticide fate models and the lack of standardized realistic worst‐case scenarios. The aim of the present study was to further advance capacities for performing probabilistic ERAs in the Pampa region by dividing and parameterizing the region into functional soil–climate mapping units (SCU) and defining statistically based, worst‐case soil–climate exposure scenarios. Results obtained demonstrate that the SCU selected for a specific modeling exercise should depend on the dissociation constant (Kd) of the pesticide evaluated and whether short‐ or long‐term pesticide fate modeling and risk assessment are needed. Four regionally representative SCUs were specifically identified for modeling the fate of pesticides with low, high, and intermediate values of Kd. Fate modeling of pesticides with an intermediate Kd requires the use of a different SCU for short‐ versus long‐term pesticide modeling, whereas this distinction is not necessary for pesticides with both low and high Kd. The current definition of realistic, worst‐case, soil–climate scenarios represents a crucial step toward better pesticide fate modeling and exposure assessment in Argentina's Pampa region.Fil: Brodeur, Celine Marie Julie. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: D'Andrea, María Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Dip, Cecilia. Institut National de la Recherche Scientifique. Centre Eua Terre Environnement; CanadáWiley2022-10-17T10:07:53Z2022-10-17T10:07:53Z2022-09-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/13125https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/ieam.46561551-3777https://doi.org/10.1002/ieam.4656Integrated Environmental Assessment and Management 18 (5) : 1-12 (2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PE-E2-I054-001/2019-PE-E2-I054-001/AR./Gestión sostenible de fitosanitariosinfo:eu-repograntAgreement/INTA/2019-PE-E1-I011-001/2019-PE-E1-I011-001/AR./Intensificacion Sustentable de la Agricultura en la Region Pampeanainfo:eu-repo/semantics/restrictedAccess2025-09-11T10:24:24Zoai:localhost:20.500.12123/13125instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-11 10:24:24.368INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
title Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
spellingShingle Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
Brodeur, Celine Marie
Agriculture
Pesticides
Agricultura
Plaguicidas
Exposure Scenarios
Risk Assessment Water Contamination
Escenarios de Exposición
Evaluación de Riesgos Contaminación del Agua
Región Pampeana
title_short Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
title_full Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
title_fullStr Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
title_full_unstemmed Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
title_sort Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
dc.creator.none.fl_str_mv Brodeur, Celine Marie
D'andrea, María Florencia
Dip, Cecilia
author Brodeur, Celine Marie
author_facet Brodeur, Celine Marie
D'andrea, María Florencia
Dip, Cecilia
author_role author
author2 D'andrea, María Florencia
Dip, Cecilia
author2_role author
author
dc.subject.none.fl_str_mv Agriculture
Pesticides
Agricultura
Plaguicidas
Exposure Scenarios
Risk Assessment Water Contamination
Escenarios de Exposición
Evaluación de Riesgos Contaminación del Agua
Región Pampeana
topic Agriculture
Pesticides
Agricultura
Plaguicidas
Exposure Scenarios
Risk Assessment Water Contamination
Escenarios de Exposición
Evaluación de Riesgos Contaminación del Agua
Región Pampeana
dc.description.none.fl_txt_mv Although pesticides are used intensively in Argentina's Pampa region, the possibility of performing an environmental risk assessment (ERA) remains limited due to the absence of readily available databases to run pesticide fate models and the lack of standardized realistic worst‐case scenarios. The aim of the present study was to further advance capacities for performing probabilistic ERAs in the Pampa region by dividing and parameterizing the region into functional soil–climate mapping units (SCU) and defining statistically based, worst‐case soil–climate exposure scenarios. Results obtained demonstrate that the SCU selected for a specific modeling exercise should depend on the dissociation constant (Kd) of the pesticide evaluated and whether short‐ or long‐term pesticide fate modeling and risk assessment are needed. Four regionally representative SCUs were specifically identified for modeling the fate of pesticides with low, high, and intermediate values of Kd. Fate modeling of pesticides with an intermediate Kd requires the use of a different SCU for short‐ versus long‐term pesticide modeling, whereas this distinction is not necessary for pesticides with both low and high Kd. The current definition of realistic, worst‐case, soil–climate scenarios represents a crucial step toward better pesticide fate modeling and exposure assessment in Argentina's Pampa region.
Fil: Brodeur, Celine Marie Julie. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: D'Andrea, María Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Dip, Cecilia. Institut National de la Recherche Scientifique. Centre Eua Terre Environnement; Canadá
description Although pesticides are used intensively in Argentina's Pampa region, the possibility of performing an environmental risk assessment (ERA) remains limited due to the absence of readily available databases to run pesticide fate models and the lack of standardized realistic worst‐case scenarios. The aim of the present study was to further advance capacities for performing probabilistic ERAs in the Pampa region by dividing and parameterizing the region into functional soil–climate mapping units (SCU) and defining statistically based, worst‐case soil–climate exposure scenarios. Results obtained demonstrate that the SCU selected for a specific modeling exercise should depend on the dissociation constant (Kd) of the pesticide evaluated and whether short‐ or long‐term pesticide fate modeling and risk assessment are needed. Four regionally representative SCUs were specifically identified for modeling the fate of pesticides with low, high, and intermediate values of Kd. Fate modeling of pesticides with an intermediate Kd requires the use of a different SCU for short‐ versus long‐term pesticide modeling, whereas this distinction is not necessary for pesticides with both low and high Kd. The current definition of realistic, worst‐case, soil–climate scenarios represents a crucial step toward better pesticide fate modeling and exposure assessment in Argentina's Pampa region.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-17T10:07:53Z
2022-10-17T10:07:53Z
2022-09-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/13125
https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/ieam.4656
1551-3777
https://doi.org/10.1002/ieam.4656
url http://hdl.handle.net/20.500.12123/13125
https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/ieam.4656
https://doi.org/10.1002/ieam.4656
identifier_str_mv 1551-3777
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2019-PE-E2-I054-001/2019-PE-E2-I054-001/AR./Gestión sostenible de fitosanitarios
info:eu-repograntAgreement/INTA/2019-PE-E1-I011-001/2019-PE-E1-I011-001/AR./Intensificacion Sustentable de la Agricultura en la Region Pampeana
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Integrated Environmental Assessment and Management 18 (5) : 1-12 (2022)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.993085

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