Aboutaleb Hezarjaribi1*, Ghorban Ali Roshani2, Ghorban Ghorbani Nasrabad3, Hossein Ansari4
- Head of Cotton Research Institute of Iran, Gorgan, Golestan, I. R. Iran
- Irrigation scientist, Iranian Cotton Research Institute, Gorgan Iran
- Ferdowsi University of Mashhad, I. R. Iran
Abstract: The validation of soil water balance models and the evaluation of the quality of the model predictions at field-scale require time-series of in situ measured model outputs. Therefore, the objectives of this study were comparison of the simulated soil water content (SWC) by AMBAV (Agrarmeteorologisches Modell zur Berechnung der Aktuellen Verdunstung) model as a cheap and reliable method with the corresponding results by soil samples (observed data) and validation of AMBAV soil water balance model in a grass field in Braunschweig, Germany. AMBAV model uses synoptic data sets and Penman-Monteith formula. This experimental dataset included a period of 7 months. Three statistical tests, such as R2 (coefficient of determination), MARE (mean absolute relative error) and PE (prediction efficiency) were performed. Differences between observed and simulated active root zone SWC were not significant (pr > t = 0.097). Low MARE values and high values of PE and R2 indicated that the soil water balance simulation model can be used safely to simulate the soil-water content in the active root zone of the grass. The AMBAV model was able to find the optimum date for grass-specific irrigation as an agro-meteorological.
Keywords: AMBAV model, Model validation, Soil moisture content, Soil water balance
Int. J. Forest, Soil and Erosion, 2011 1 (1):18-24