Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO

58 páginas, 7 figuras, 4 tablas, 7 figuras suplementarias. -- The final version is available at http://www.elsevier.com

Detalles Bibliográficos
Autores: Marín Benito, Jesús María, Mamy, Laure, Carpio, M. José, Sánchez Martín, M. Jesús, Rodríguez Cruz, M. Sonia
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/217438
Acceso en línea:http://hdl.handle.net/10261/217438
Access Level:acceso abierto
Palabra clave:Pesticide fate model
Mobility
Herbicides
Bromide tracer
Soil amendments
Dissolved organic carbon
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dc.title.none.fl_str_mv Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
title Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
spellingShingle Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
Marín Benito, Jesús María
Pesticide fate model
Mobility
Herbicides
Bromide tracer
Soil amendments
Dissolved organic carbon
title_short Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
title_full Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
title_fullStr Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
title_full_unstemmed Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
title_sort Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACRO
dc.creator.none.fl_str_mv Marín Benito, Jesús María
Mamy, Laure
Carpio, M. José
Sánchez Martín, M. Jesús
Rodríguez Cruz, M. Sonia
author Marín Benito, Jesús María
author_facet Marín Benito, Jesús María
Mamy, Laure
Carpio, M. José
Sánchez Martín, M. Jesús
Rodríguez Cruz, M. Sonia
author_role author
author2 Mamy, Laure
Carpio, M. José
Sánchez Martín, M. Jesús
Rodríguez Cruz, M. Sonia
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Ministerio de Ciencia e Innovación (España)
Marín Benito, Jesús María [0000-0002-8801-7389]
Sánchez Martín, M. Jesús [0000-0002-8304-1232]
Rodríguez Cruz, M. Sonia [0000-0001-6748-3391]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Pesticide fate model
Mobility
Herbicides
Bromide tracer
Soil amendments
Dissolved organic carbon
topic Pesticide fate model
Mobility
Herbicides
Bromide tracer
Soil amendments
Dissolved organic carbon
description 58 páginas, 7 figuras, 4 tablas, 7 figuras suplementarias. -- The final version is available at http://www.elsevier.com
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/217438
url http://hdl.handle.net/10261/217438
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2015-69485-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101587-J-I00
http://dx.doi.org/10.1016/j.scitotenv.2020.137019

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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spelling Modelling herbicides mobility in amended soils: Calibration and test of PRZM and MACROMarín Benito, Jesús MaríaMamy, LaureCarpio, M. JoséSánchez Martín, M. JesúsRodríguez Cruz, M. SoniaPesticide fate modelMobilityHerbicidesBromide tracerSoil amendmentsDissolved organic carbon58 páginas, 7 figuras, 4 tablas, 7 figuras suplementarias. -- The final version is available at http://www.elsevier.comAddition of organic residues to soil is a current farming practice but it is not considered in the modelling studies for pesticide risk assessment at regulatory level despite its potential impact on the pesticide dynamics in soil. Thus, the objective of this work was to examine and to compare the ability of PRZM and MACRO pesticide fate models to simulate soil water content, and bromide (Br−, tracer), chlorotoluron and flufenacet concentrations in the soil profiles (0–100 cm) of one agricultural soil, unamended (control soil, S), amended with spent mushroom substrate (S + SMS) or amended with green compost (S + GC). Based on a two-year field-scale dataset, the models were first calibrated against measurements of water and solutes contents in the soil profiles (first year) and then tested without any further model calibration by comparison with the field observations of the second year. In general, the performance of MACRO to simulate the whole dataset in the three soil treatments was higher than that of PRZM. MACRO simulated satisfactorily the water dynamics along the soil profiles whereas it was poorly described by the capacity model PRZM. Both models predicted very well the Br− mobility in control and amended soils after dispersion parameters were fitted to observations. No calibration was necessary to reproduce correctly herbicides vertical distribution in the control soil profile. In the amended soils, MACRO simulations were highly correlated to the observed vertical distribution of flufenacet and chlorotoluron, but calibration of the Kd of chlorotoluron was needed. On the contrary, modelling with PRZM required calibration of Kd and DT50 of both herbicides to obtain an acceptable agreement between observations and predictions in the amended soils. Kd and DT50 calibration was based on the initial dissolved organic carbon contents (DOC) of amended soils. It allowed to take into account the processes that decrease the herbicides sorption on the soil and enhance their bioavailability, but that are not described in PRZM and MACRO (such as the formation of herbicide-DOC mobile complexes). This work showed that models such as PRZM and MACRO are able to simulate the fate of pesticides in amended soils. However, before using these models as predictive tools in large amended soil conditions, and especially in the regulatory context, further modelling studies should focus on other pedoclimatic-pesticides-organic residues combinations, and on longer periods.This work was financially supported by MINECO/FEDER UE (Project AGL2015-69485-R) and MCIU/AEI/FEDER,UE (Project RTI2018-101587-J-I00). M. J. Carpio thanks for her predoctoral contract co-funded by European Social Fund (ESF) and the Consejería de Educación (Junta de Castilla y León Government). J.M. Marín-Benito thanks MINECO for his Juan de la Cierva-Incorporación (IJCI-2014-19538) contract.Peer reviewedElsevierMinisterio de Economía y Competitividad (España)European CommissionMinisterio de Ciencia e Innovación (España)Marín Benito, Jesús María [0000-0002-8801-7389]Sánchez Martín, M. Jesús [0000-0002-8304-1232]Rodríguez Cruz, M. Sonia [0000-0001-6748-3391]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/217438reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2015-69485-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101587-J-I00http://dx.doi.org/10.1016/j.scitotenv.2020.137019Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2174382026-05-22T06:33:51Z
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