FUZZY KNOWLEDGE-BASED CURVE EVALUATION FOR 1-D RIVER MODEL CALIBRATION

摘要

Model calibration requires an evaluation of the agreement between model outputs and reference data. This article presents an automatic fuzzy knowledge-based approach to identify the relevant discrepancies. This evaluation module is intended to be integrated within an existing knowledge-based calibration support system.Model calibration remains a complex and critical task involving many different steps. The structure of the task - as undertaken by experienced modellers - has been identified by Vidal et al. [8]. Among the different calibration steps, this article focuses on the comparison of outputs from the numerical model and reference data, hereafter referred to as the output comparison task.