Search results for "Development of a useful tool for selecting monitoring field campaigns. ► Identificability analysis is a valuable tool for calibration of complex models. ► Upstream sub-system influences with different strength the downstream ones."

The identifiability analysis for setting up measuring campaigns in integrated water quality modelling.

2012

Abstract Identifiability analysis enables the quantification of the number of model parameters that can be assessed by calibration with respect to a data set. Such a methodology is based on the appraisal of sensitivity coefficients of the model parameters by means of Monte Carlo runs. By employing the Fisher Information Matrix, the methodology enables one to gain insights with respect to the number of model parameters that can be reliably assessed. The paper presents a study where identifiability analysis is used as a tool for setting up measuring campaigns for integrated water quality modelling. Particularly, by means of the identifiability analysis, the information about the location and …