| one publication added to basket [300721] | Weather typing‐based flood frequency analysis verified for exceptional historical events of past 500 years along the Meuse river
De Niel, J.; Demarée, G.; Willems, P. (2017). Weather typing‐based flood frequency analysis verified for exceptional historical events of past 500 years along the Meuse river. Water Resour. Res. 53(10): 8459-8474. https://dx.doi.org/10.1002/2017WR020803
In: Water Resources Research: a Journal of the Sciences of Water. American Geophysical Union: Washington etc.. ISSN 0043-1397; e-ISSN 1944-7973, more
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| Author keywords |
Weather typing; River peak flow; Extreme value analysis |
| Authors | | Top |
- De Niel, J.
- Demarée, G., more
- Willems, P., more
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| Abstract |
Governments, policy makers, and water managers are pushed by recent socioeconomic developments such as population growth and increased urbanization inclusive of occupation of floodplains to impose very stringent regulations on the design of hydrological structures. These structures need to withstand storms with return periods typically ranging between 1,250 and 10,000 years. Such quantification involves extrapolations of systematically measured instrumental data, possibly complemented by quantitative and/or qualitative historical data and paleoflood data. The accuracy of the extrapolations is, however, highly unclear in practice. In order to evaluate extreme river peak flow extrapolation and accuracy, we studied historical and instrumental data of the past 500 years along the Meuse River. We moreover propose an alternative method for the estimation of the extreme value distribution of river peak flows, based on weather types derived by sea level pressure reconstructions. This approach results in a more accurate estimation of the tail of the distribution, where current methods are underestimating the design levels related to extreme high return periods. The design flood for a 1,250 year return period is estimated at 4,800 m3 s-1 for the proposed method, compared with 3,450 and 3,900 m3 s-1 for a traditional method and a previous study. |
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