Water level predictions in rivers are used for a variety of purposes in water management. For example, designing flood defence measures and evaluating natural rehabilitation in flood plains, cannot be done without water level predictions. However, these water level predictions are uncertain and a major part of this uncertainty is caused by the uncertainty in the roughness coefficient (Van der Klis, 2003; Van Vuren, 2005). Hydraulic roughness in rivers results from (among others): grain roughness, form roughness and vegetation roughness. The roughness coefficient is uncertain because different elements creating the hydraulic roughness are uncertain (e.g. grain size, dune height). To quantify the influence of the uncertain roughness coefficient on water level predictions, we first need a quantification of the uncertainty in the roughness coefficient.
|Title of host publication||NCR-days 2005. Research on river dynamics from geological to operational time scales. 3-5 November 2005, Zwijndrecht|
|Editors||H.J.T. Weerts, I.L Ritsema, A.G. van Os|
|Place of Publication||Delft|
|Publication status||Published - 3 Nov 2006|
|Event||NCR-days 2005: Research on river dynamics from geological to operational time scales - Zwijndrecht, Netherlands|
Duration: 3 Nov 2005 → 4 Nov 2005
|Name||NCR publication 29-2005|
|Period||3/11/05 → 4/11/05|
Noordam, D., van der Klis, H., & Hulscher, S. J. M. H. (2006). Expert opinion: uncertainties in hydraulic roughness. In H. J. T. Weerts, I. L. Ritsema, & A. G. van Os (Eds.), NCR-days 2005. Research on river dynamics from geological to operational time scales. 3-5 November 2005, Zwijndrecht (pp. 65-66). (NCR publication 29-2005; No. 1568-234x). Delft: NCR.