Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4377557 | Ecological Modelling | 2009 | 19 Pages |
Abstract
Based on identifiability analysis techniques this study shows that for a diagenetic model of the sediment of Lake Zug, an exceptionally large number of model parameters (25) can be identified from the available data. The result, based on numerical identifiability criteria, is verified by an automatic parameter estimation procedure. Furthermore, it is discussed if the identified parameter values are reasonable, or if the model parameters or model deficiencies that are fitted lead to a significant bias in their estimates.
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Authors
M. Dittrich, B. Wehrli, P. Reichert,