Analyses of seasonal and annual maximum daily discharge records for central Europe

作者: Gabriele Villarini , James A. Smith , Francesco Serinaldi , Alexandros A. Ntelekos

DOI: 10.1016/J.JHYDROL.2011.01.007

关键词: Environmental scienceExtreme value theoryHydrologyDischarge100-year floodFlood mythSeasonalityHeavy-tailed distributionPhysical geographyGeneralized extreme value distributionClimate change

摘要: Summary Annual and seasonal maximum daily discharge time series for 55 stations in central Europe (Germany, Switzerland, Czech Republic, Slovakia) are used to examine flood frequency from a regional perspective. In this study we temporal nonstationarities the peak records, characterize upper tail scaling properties of distributions. There is marked seasonality record, with large fraction annual peaks occurring during winter western part domain, summer southern portion region. The presence abrupt slowly varying changes examined by means non-parametric tests. Change-points mean variance distributions using Pettitt test, while monotonic patterns Spearman Mann-Kendall Abrupt changes, rather than trends responsible violations stationarity assumption. These step can often be associated anthropogenic effects, such as construction dams reservoirs river training. Given profound that these catchments have undergone, it difficult detect possible climate change signal record. estimates location, scale, shape parameters Generalized Extreme Value distribution location scale exhibit power law behaviour when plotted function drainage area, parameter decreases log-linearly increasing catchment area. findings suggest records heavy behaviour.

参考文章(137)
Pavol Miklanek, Pavla Pekarova, Jan Pekar, Long-term trends and runoff fluctuations of European rivers IAHS-AISH publication. pp. 520- 525 ,(2006)
S. Senfter, G. Leonhardt, C. Oberparleiter, J. Asztalos, R. Kirnbauer, F. Schöberl, H. Schönlaub, Flood Forecasting for the River Inn Springer, Berlin, Heidelberg. pp. 35- 67 ,(2009) , 10.1007/978-3-642-03229-5_2
J. R. M. Hosking, L‐Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics Journal of the royal statistical society series b-methodological. ,vol. 52, pp. 105- 124 ,(1990) , 10.1111/J.2517-6161.1990.TB01775.X
Markus Disse, Heinz Engel, Flood Events in the Rhine Basin: Genesis, Influences and Mitigation Natural Hazards. ,vol. 23, pp. 271- 290 ,(2001) , 10.1023/A:1011142402374
A. Becker, Flood Risk in Central Europe Science. ,vol. 300, pp. 1099- 1099 ,(2003) , 10.1126/SCIENCE.1083624
Gabriele Villarini, Francesco Serinaldi, James A. Smith, Witold F. Krajewski, On the stationarity of annual flood peaks in the continental United States during the 20th century Water Resources Research. ,vol. 45, ,(2009) , 10.1029/2008WR007645
W. Wang, P.H.A.J.M. Van Gelder, J.K. Vrijling, Detection of changes in streamflow series in western Europe over 1901–2000 Water Science & Technology: Water Supply. ,vol. 5, pp. 289- 299 ,(2005) , 10.2166/WS.2005.0075
Conleth Cunnane, Review of Statistical Models for Flood Frequency Estimation Springer, Dordrecht. pp. 49- 95 ,(1987) , 10.1007/978-94-009-3953-0_4