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Abstract
Despite the widespread use of pesticides in the Pampa region of Argentina, mathematical models are rarely employed to predict pesticide fate due to the lack of regionally tested models and the absence of readily available databases to run such models. The objective of the current study was to perform a sensitivity analysis of the Pesticide in Water Calculator (PWC) model for the Pampa Region of Argentina. The sensitivity analysis was performed while [ver mas...]
dc.contributor.authorD'andrea, María Florencia
dc.contributor.authorLetourneau, G.
dc.contributor.authorRousseau, A.N.
dc.contributor.authorBrodeur, Celine Marie
dc.date.accessioned2021-04-27T11:14:06Z
dc.date.available2021-04-27T11:14:06Z
dc.date.issued2020-01-01
dc.identifier.issn0048-9697
dc.identifier.otherhttps://doi.org/10.1016/j.scitotenv.2019.134232
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9191
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0048969719342159
dc.description.abstractDespite the widespread use of pesticides in the Pampa region of Argentina, mathematical models are rarely employed to predict pesticide fate due to the lack of regionally tested models and the absence of readily available databases to run such models. The objective of the current study was to perform a sensitivity analysis of the Pesticide in Water Calculator (PWC) model for the Pampa Region of Argentina. The sensitivity analysis was performed while simulating applications of 2,4-D (mobile, low Kd) and glyphosate (soil-binding, high Kd) in five localities of the Pampa region: Anguil, Paraná, Marcos Juárez, Pergamino and Tres Arroyos. The sensitivity of the various parameters involved in PWC modelling was evaluated though a two-steps sensitivity analysis which included a first screening of less sensitive parameters with Morris method, followed by a fully global sensitivity analysis of the remaining parameters using Sobol method. When ran under soil and climate conditions typical of the Pampa region of Argentina, PWC was most sensitive to 25% of the parameters evaluated. The sensitive parameters identified depended mainly on the nature of the pesticide molecule being modelled; the location and endpoint considered having much less influence on the sensitivity results. Sensitive parameters belonged to two main grand categories: (i) degradation rates of the pesticide in soil and water, and (ii) parameters descriptive of soil binding, runoff and erosion. The sensitivity analysis of the model PWC performed in the current study represents a crucial first step towards the development and expansion of probabilistic pesticide risk assessment in Argentina, and provides important parameterization criteria that will help obtaining more certain modelling results from PWC in Argentina and elsewhere.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceScience of the Total Environment 698 : 134232 (January 2020)es_AR
dc.subjectRisk Assessmenteng
dc.subjectEvaluación de Riesgoses_AR
dc.subjectAgricultureeng
dc.subjectAgriculturaes_AR
dc.subjectContaminationeng
dc.subjectContaminaciónes_AR
dc.subjectAgrochemicalseng
dc.subjectAgroquimicoses_AR
dc.subjectPWCeng
dc.subjectWater Qualityeng
dc.subjectCalidad del Aguaes_AR
dc.subject.otherRegión Pampeana
dc.titleSensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.filFil: D'Andrea, María Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Letourneau, G. Universidad Laval. Departamento de Ingeniería de Suelos y Alimentos; Canadáes_AR
dc.description.filFil: Rousseau, A.N. Institut National de la Recherche Scientifique (INRS). Centre Eau Terre Environnement; Canadaes_AR
dc.description.filFil: Brodeur, Celine Marie Julie. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.subtypecientifico


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