Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina
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 a...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Wiley
2022
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| Acceso en línea: | 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 |
| _version_ | 1855485110449602560 |
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| author | Brodeur, Celine Marie D'andrea, María Florencia Dip, Cecilia |
| author_browse | Brodeur, Celine Marie D'andrea, María Florencia Dip, Cecilia |
| author_facet | Brodeur, Celine Marie D'andrea, María Florencia Dip, Cecilia |
| author_sort | Brodeur, Celine Marie |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA13125 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA131252022-10-17T10:18:05Z Statistically based soil climate exposure scenarios for aquatic pesticides fate modelling and exposure assessment in the Pampa Region of Argentina Brodeur, Celine Marie D'andrea, María Florencia Dip, Cecilia Agriculture Pesticides Agricultura Plaguicidas Exposure Scenarios Risk Assessment Water Contamination Escenarios de Exposición Evaluación de Riesgos Contaminación del Agua Región Pampeana 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 2022-10-17T10:07:53Z 2022-10-17T10:07:53Z 2022-09-05 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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 info:eu-repo/semantics/restrictedAccess application/pdf Wiley Integrated Environmental Assessment and Management 18 (5) : 1-12 (2022) |
| spellingShingle | Agriculture Pesticides Agricultura Plaguicidas Exposure Scenarios Risk Assessment Water Contamination Escenarios de Exposición Evaluación de Riesgos Contaminación del Agua Región Pampeana Brodeur, Celine Marie D'andrea, María Florencia Dip, Cecilia 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 |
| 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_short | 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 |
| topic | Agriculture Pesticides Agricultura Plaguicidas Exposure Scenarios Risk Assessment Water Contamination Escenarios de Exposición Evaluación de Riesgos Contaminación del Agua Región Pampeana |
| 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 |
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