Identification and quantification of uncertainties in river models using expert elicitation
| Autor: | Warmink, J.J., van der Klis, H., Booij, M.J., Hulscher, S.J.M.H., van Os, A.G., Erdbrink, C.D. |
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| Přispěvatelé: | Faculty of Engineering Technology, Marine and Fluvial Systems, Water Management |
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Zdroj: | NCR-days 2008: 10 years NCR, November 20–21, 40-41 STARTPAGE=40;ENDPAGE=41;TITLE=NCR-days 2008 |
| Popis: | The aim of this study is to identify the sources of uncertainty that induce the largest uncertainties in the model outcomes and quantify this uncertainty using expert elicitation. Analysis of expert opinions showed that the Qh-relation and the roughness predictor of the main channel cause the largest uncertainties for design water level computations. For effect studies, the floodplain topography, weir formulation and discretisation of floodplain topography induces the largest uncertainty. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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