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ABSTRACTS 'Extreme Discharges' - CHR-KHR

ABSTRACTS 'Extreme Discharges' - CHR-KHR

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The flood routing in the Rhine from Maxau till Lobith is done with the 1-d hydrodynamic model SOBEK on a<br />

hourly basis (refs). A description of this SOBEK model is given by Lammersen (2002,2001). The boundary conditions<br />

are provided by the discharge calculated by HBV for the tributaries and the part upstream of Maxau.<br />

4. CASE STUDY AND RESULTS<br />

The discharge of the river Rhine at Lobith with an average return period of 1250 year has been examined using<br />

both the observed and generated annual maximum discharges. The maximum likelihood and Bayesian methods<br />

have been used.<br />

The maximum likelihood estimation method, applied to observed discharges at Lobith during the period 1901-<br />

2002, resulted in seven probability distributions which could not be rejected. On the other hand, the analysis<br />

based on generated annual maximum series lead up to four distributions which could not be rejected.<br />

The Bayesian method applied to observed annual maximum discharges resulted in a reasonable fit. Nevertheless,<br />

The Bayes weights computed are meagre. As a matter of fact, the highest Bayes weight is about 23 % at<br />

most corresponding to the Weibull distribution. Moreover, applying this estimation method to generated annual<br />

maximum discharges for a period of 1000 years, more decisive Bayes weights are calculated. In that case the<br />

Gamma distribution fits excellent with a Bayes weight of 80 %. This suggests that the observed and generated<br />

series are not identically distributed.<br />

5. DISCUSSION<br />

The method consisting of a statistical rainfall generator combined with hydrological and hydraulic models is<br />

promising. The fact is that the method generates automatically more homogenous annual discharges. Also, we<br />

notice that the method provides opportunities to study the effects of different measures against flooding. On the<br />

other hand, the basic assumption of the method is rather empirical. Indeed, the method is based on observed<br />

and homogeneous rainfall data during a period of about 40 years.<br />

Finally, With regard to the observed and generated annual maximum discharges, the remarkable things are that<br />

the calculated design discharges and Bayes weights are incoherent. All in all, at the moment it is not known<br />

whether the combined method consisting of a rainfall generator and hydrological and hydraulic calculations,<br />

generates annual maximum discharges reliably. Therefore, a decisive validation of the method is inevitable. It<br />

should be mentioned, though, that also series of generated maximum discharges are available for which flooding<br />

takes place in Germany (upstream from Lobith). These floods occur at extreme discharges larger then the observed<br />

ones, thereby yielding a lower design discharge. A further investigation of the problem whether the observed<br />

and the generated maximum discharges are identically distributed should also incorporate series with<br />

floods taking place in Germany.<br />

6. ACKOUWLEDGEMENTS<br />

The daily precipitation, temperature and sunshine duration data were made available by the following institutions:<br />

German Weather Service (DWD), Service de la météorolgie et de l’hydrologie de Luxemburg, Météo<br />

France and the Swiss Meteorological Institute through the international Commission for the Hydrology of the<br />

Rhine Basin (<strong>CHR</strong>/<strong>KHR</strong>). The generated time series with date from the rainfall generator were provided by the<br />

Royal Dutch Meteorological Office (KNMI) and the HBV model for the Rhine was supplied by the Federal Institute<br />

of Hydrology (BfG).<br />

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