Deterministic-statistical model coupling in a DSS for river-basin management

Share/Save/Bookmark

Kok, Jean-Luc de 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

open access
[img]
Preview
PDF
784kB
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
Additional information:Open Access
Copyright:© 2009 The Author(s)
Faculty:
Engineering Technology (CTW)
Research Group:
Link to this item:http://purl.utwente.nl/publications/59987
Official URL:http://dx.doi.org/10.1007/s10666-008-9161-7
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 236459