Statistically based soil–climate exposure scenarios for aquatic pesticide fate modeling 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....

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Published inIntegrated environmental assessment and management Vol. 19; no. 3; pp. 626 - 637
Main Authors Brodeur, Julie Céline, D'Andrea, María Florencia, Dip, Cecilia
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.05.2023
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Summary: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. Integr Environ Assess Manag 2023;19:626–637. © 2022 SETAC Key Points Four soil–climate units were identified as exposure scenarios for the Pampa region. The scenario depends on the dissociation constant of the pesticide. The scenario depends on the duration over which the mean concentration is averaged. The availability of scenarios should drive pesticide risk and exposure assessment in the region.
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ISSN:1551-3777
1551-3793
DOI:10.1002/ieam.4656