Deterministic-statistical Model Coupling in a DSS for River-Basin Management

Kok de, Jean-Luc and Booij, Martijn J. (2009) Deterministic-statistical Model Coupling in a DSS for River-Basin Management. Environmental Modeling and Assessment, 14 (5). pp. 595-606. ISSN 1420-2026

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Abstract:	This paper presents a method for appropriate coupling of deterministic and statistical models. In the decision-support system for the Elbe river, a conceptual rainfall-runoff model is used to obtain the discharge statistics and corresponding average number of flood days, which is a key input variable for a rule-based model for floodplain vegetation. The required quality of the discharge time series cannot be determined by a sensitivity analysis because a deterministic model is linked to a statistical model. To solve the problem, artificial discharge time series are generated that mimic the hypothetical output of rainfall-runoff models of different accuracy. The results indicate that a feasible calibration of the rainfall-runoff model is sufficient to obtain consistency with the vegetation model in view of its sensitivity to changes in the number of flood days in the floodplains.
Item Type:	Article
Copyright:	© The Authors
Faculty:	Engineering Technology (CTW)
Research Group:	Water Engineering and Management (WEM)
Link to this item:	http://purl.utwente.nl/publications/59987
Official URL:	http://dx.doi.org/10.1007/s10666-008-9161-7
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