Modélisation de la décomposition de produits résiduaires organiques dans le sol : reparametrage du modèle stics

Abstract : The organic matter is an important component in the soil that provides fertility. Understanding the behavior and fate of this organic matter with all its elements is important to manage fertilization and organic inputs, mainly nitrogen inputs. Among the ways to predict the behavior of organic matter the mineralization kinetics of C and N. In this course, the kinetics of mineralization of carbon and nitrogen of 485 organic wastes were used to parameterize the STICS model (simulator of agronomic scenarios. Brisson et al., 1998). The procedure consisted first in a simulation of the kinetics of mineralization of each organic waste with the STICS-residue using the kinetics experimentally determined, the simulation showed a discrepancy between the simulated and experimental data, at the same time, the parameters of the model were calculated. Then a parameterization of the model by linking model parameters with the properties of the organic wastes was performed for the whole data base, but the results were not satisfactory because of the heterogeneity of the data, to resolve this issue, a sample was taken from the data and the parametrization was performed on it. The parameterization of the model was also made on groups of organic wastes made on the basis of their nature and / or statistical characteristics (ascending hierarchical classification). The parametrization using the balanced sample, or the groups of organic wastes allowed to have predictive equations for STICS parameters taking into account the properties of the organic wastes, but the quality of prediction is unsatisfactory, so it is possible to propose another type of classification of organic wastes or seek other types of relationships (other than linear relationships STICS-parameters-organic wastes properties).
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Master thesis
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Amira Askri. Modélisation de la décomposition de produits résiduaires organiques dans le sol : reparametrage du modèle stics. Sciences de l'environnement. 2011. ⟨hal-01877453⟩

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