Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina
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 perfor...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2021
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/9191 https://www.sciencedirect.com/science/article/abs/pii/S0048969719342159 https://doi.org/10.1016/j.scitotenv.2019.134232 |
| _version_ | 1855484348231319552 |
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| author | D'andrea, María Florencia Letourneau, G. Rousseau, A.N. Brodeur, Celine Marie |
| author_browse | Brodeur, Celine Marie D'andrea, María Florencia Letourneau, G. Rousseau, A.N. |
| author_facet | D'andrea, María Florencia Letourneau, G. Rousseau, A.N. Brodeur, Celine Marie |
| author_sort | D'andrea, María Florencia |
| collection | INTA Digital |
| description | 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. |
| format | Artículo |
| id | INTA9191 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA91912021-04-27T11:26:50Z Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina D'andrea, María Florencia Letourneau, G. Rousseau, A.N. Brodeur, Celine Marie Risk Assessment Agriculture Contamination Agrochemicals PWC Water Quality Evaluación de Riesgos Agricultura Contaminación Agroquimicos Calidad del Agua Región Pampeana 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. Fil: D'Andrea, María Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Letourneau, G. Universidad Laval. Departamento de Ingeniería de Suelos y Alimentos; Canadá Fil: Rousseau, A.N. Institut National de la Recherche Scientifique (INRS). Centre Eau Terre Environnement; Canada Fil: Brodeur, Celine Marie Julie. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Bilológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. 2021-04-27T11:14:06Z 2021-04-27T11:14:06Z 2020-01-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9191 https://www.sciencedirect.com/science/article/abs/pii/S0048969719342159 0048-9697 https://doi.org/10.1016/j.scitotenv.2019.134232 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Science of the Total Environment 698 : 134232 (January 2020) |
| spellingShingle | Risk Assessment Agriculture Contamination Agrochemicals PWC Water Quality Evaluación de Riesgos Agricultura Contaminación Agroquimicos Calidad del Agua Región Pampeana D'andrea, María Florencia Letourneau, G. Rousseau, A.N. Brodeur, Celine Marie Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina |
| title | Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina |
| title_full | Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina |
| title_fullStr | Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina |
| title_full_unstemmed | Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina |
| title_short | Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina |
| title_sort | sensitivity analysis of the pesticide in water calculator model for applications in the pampa region of argentina |
| topic | Risk Assessment Agriculture Contamination Agrochemicals PWC Water Quality Evaluación de Riesgos Agricultura Contaminación Agroquimicos Calidad del Agua Región Pampeana |
| url | http://hdl.handle.net/20.500.12123/9191 https://www.sciencedirect.com/science/article/abs/pii/S0048969719342159 https://doi.org/10.1016/j.scitotenv.2019.134232 |
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