Adaptation du modèle de culture STICS aux sols drainés

Autor: TOURNEBIZE, Julien, Kao, C., Nikolic, Natacha, De Louvigny, N., Zimmer, D.
Přispěvatelé: Hydrosystèmes et Bioprocédés (UR HBAN), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), CONSEIL MONDIAL DE L'EAU, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Jazyk: angličtina
Rok vydání: 2005
Předmět:
Zdroj: Geophysical Research Abstracts
European Geosciences Union, Vienne,AUT,avril 2005
European Geosciences Union, Vienne,AUT,avril 2005, 2005, pp.1
Popis: The generic crop model STICS was modified to take into account shallow watertable fluctuations and subsurface drainage in the context of French waterlogged soils. This was accomplished by incorporating a subsurface drainage component into STICS code. The SIDRA (Simulation du Drainage) model was adapted to a daily time-step.For the dimensional aspect, the passage from two-dimensional drainage functioning to STICS one-dimensional conceptualisation is done by taking an average water elevation between drain and mid-drain spacing. A simple concept for nitrate leaching was added. According to specified leaching dynamics of subsurface drained shallow water table, nitrate flux was removed of the soil profile considering the concentration at the depth of water table and the drained simulated discharge.Simulation performances of the new STICS were evaluated by comparing its predictions with six years (19791983 and 19851986) of measured data from the field experiment of Arrou, located in northern France. Comparisons of STICS predictions with the measurements of drain-flow rates, total drained volumes, depths to water table and nitrate leaching for different crops and drain spacings were satisfactory. Nevertheless, the performances were better for drain spacings of less than 20 m and for winter crops or covers.
Databáze: OpenAIRE