Evaluation of a spatialized agronomic model in predicting yield and N leaching at the scale of the Seine-Normandie Basin
2016
Beaudoin, Nicolas, N. | Gallois, Nicolas | Viennot, Pascal | Le Bas, Christine | Puech, Thomas | Schott, Céline | Buis, Samuel | Agroressources et Impacts environnementaux (AgroImpact) ; Institut National de la Recherche Agronomique (INRA) | Centre de Géosciences (GEOSCIENCES) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) | InfoSol (InfoSol) ; Institut National de la Recherche Agronomique (INRA) | Agro-Systèmes Territoires Ressources Mirecourt (ASTER Mirecourt) ; Institut National de la Recherche Agronomique (INRA) | Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH) ; Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
International audience
Show more [+] Less [-]English. The EU directive has addressed ambitious targetsconcerning the quality of water bodies. Predicting water qualityas affected by land use and management requires usingdynamic agro-hydrogeological models. In this study, an agronomicmodel (STICS) and a hydrogeological model(MODCOU) have been associated in order to simulate nitrogenfluxes in the Seine-Normandie Basin, which is affected bynitrate pollution of groundwater due to intensive farming systems.This modeling platform was used to predict and understandthe spatial and temporal evolution of water quality overthe 1971–2013 period. A quality assurance protocol(Refsgaard et al. Environ Model Softw 20: 1201–1215,2005) was used to qualify the reliability of STICS outputs.Four iterative runs of the model were carried out with improvedparameterization of soils and crop management withoutany change in the model. Improving model inputs changedmuch more the spatial distribution of simulated N losses thantheir mean values. STICS slightly underestimated the cropyields compared to the observed values at the administrativedistrict scale. The platform also slightly underestimated thenitrate concentration at the outlet level with a mean differenceranging from −1.4 to −9.2 mg NO3 L−1 according to the aquiferduring the last decade. This outcome should help the stakeholdersin decision-making to prevent nitrate pollution andprovide new specifications for STICS development.
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