Literature DB >> 31514038

Sensitivity analysis of the Pesticide in Water Calculator model for applications in the Pampa region of Argentina.

M F D'Andrea1, G Letourneau2, A N Rousseau3, J C Brodeur4.   

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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agriculture; Agrochemicals; Contamination; PWC; Risk assessment; Water quality

Year:  2019        PMID: 31514038     DOI: 10.1016/j.scitotenv.2019.134232

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  An assessment of potential pesticide transmission, considering the combined impact of soil texture and pesticide properties: A meta-analysis.

Authors:  John McGinley; Jenny Harmon O'Driscoll; Mark G Healy; Paraic C Ryan; Per Eric Mellander; Liam Morrison; Oisin Callery; Alma Siggins
Journal:  Soil Use Manag       Date:  2022-03-08       Impact factor: 3.672

2.  Numerical Modeling of Groundwater Pollution by Chlorpyrifos, Bromacil and Terbuthylazine. Application to the Buñol-Cheste Aquifer (Spain).

Authors:  Ricardo Pérez-Indoval; Javier Rodrigo-Ilarri; Eduardo Cassiraga; María-Elena Rodrigo-Clavero
Journal:  Int J Environ Res Public Health       Date:  2021-03-28       Impact factor: 3.390

  2 in total

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