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dc.contributor.author
D'andrea, María Florencia  
dc.contributor.author
Létourneau, Guillaume  
dc.contributor.author
Rousseau, Alain  
dc.contributor.author
Brodeur, Celine Marie Julie  
dc.date.available
2021-11-09T12:30:34Z  
dc.date.issued
2020-01  
dc.identifier.citation
D'andrea, María Florencia; Létourneau, Guillaume; Rousseau, Alain; Brodeur, Celine Marie Julie; Sensitivity analysis of the Pesticide in Water Calculator model for applications in the Pampa region of Argentina; Elsevier Science; Science of the Total Environment; 698; 1-2020; 1-11  
dc.identifier.issn
0048-9697  
dc.identifier.uri
http://hdl.handle.net/11336/146399  
dc.description.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 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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AGRICULTURE  
dc.subject
AGROCHEMICALS  
dc.subject
CONTAMINATION  
dc.subject
PWC  
dc.subject
RISK ASSESSMENT  
dc.subject
WATER QUALITY  
dc.subject.classification
Ciencias Medioambientales  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Sensitivity analysis of the Pesticide in Water Calculator model for applications in the Pampa region of Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-10-29T13:17:31Z  
dc.identifier.eissn
1879-1026  
dc.journal.volume
698  
dc.journal.pagination
1-11  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: D'andrea, María Florencia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Létourneau, Guillaume. Universite Laval; Francia  
dc.description.fil
Fil: Rousseau, Alain. Institut National de Recherche Scientifique; Canadá  
dc.description.fil
Fil: Brodeur, Celine Marie Julie. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Science of the Total Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0048969719342159  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.scitotenv.2019.134232