Estimating the impact of climate change on peak flows in the River Rhine

Two statistical methods were evaluated to bridge the gap between the coarse water balance models and the daily time scale required to estimate changes in peak flows under changed climate conditions. The first method (referred to as the "Conditional Peak Model") is based on empirical relationships between 10-daily or monthly average discharges and peak flows. The second method ( referred to as the "Wavelet Disaggregation Model") comprises statistical disaggregation of series of 10-daily and monthly average discharges to the requested daily time step using the so-called wavelet technique. Using the RHINEFLOW model, the effects of climate change on the monthly and 10-daily average discharge of the Rhine were calculated. Subsequently, using the two statistical techniques, discharge extremes and their frequencies were estimated from the RHINEFLOW output.

Datum rapport
1 januari 1999
Auteur
Institute for Inland Water Management and Waste Water Treatment = Ministerie van Verkeer en Waterstaat, Rijkswaterstaat, Rijksinstituut voor Integraal Zoetwaterbeheer en Afvalwaterbehandeling (RWS, RIZA); H. Middelkoop ...[et al.]; Utrecht University...
Uitgever
Ministerie van Verkeer en Waterstaat, Rijkswaterstaat, Rijksinstituut voor Integraal Zoetwaterbeheer en Afvalwaterbehandeling (RWS, RIZA).
Annotatie
64 p. 
fig., tab.
(RIZA rapport ; 99.064)
(NRP project ; 952210)
With summary
With ref.

ISBN 9036952905
Documentnummer
103074