Robust flood statistics: comparison of peak over threshold approaches based on monthly maxima and TL-moments
| Autor: | Svenja Fischer, Andreas Schumann |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Series (mathematics)
Flood myth 0208 environmental biotechnology 02 engineering and technology Poisson distribution 01 natural sciences Stability (probability) 020801 environmental engineering 010104 statistics & probability symbols.namesake Robustness (computer science) Statistics symbols Generalized extreme value distribution 0101 mathematics Maxima Water Science and Technology Mathematics Quantile |
| Zdroj: | Hydrological Sciences Journal. 61:457-470 |
| ISSN: | 2150-3435 0262-6667 |
| DOI: | 10.1080/02626667.2015.1054391 |
| Popis: | Flood quantile estimation based on partial duration series (peak over threshold, POT) represents a noteworthy alternative to the classical annual maximum approach since it enlarges the available information spectrum. Here the POT approach is discussed with reference to its benefits in increasing the robustness of flood quantile estimations. The classical POT approach is based on a Poisson distribution for the annual number of exceedences, although this can be questionable in some cases. Therefore, the Poisson distribution is compared with two other distributions (binomial and Gumbel-Schelling). The results show that only rarely is there a difference from the Poisson distribution. In the second part we investigate the robustness of flood quantiles derived from different approaches in the sense of their temporal stability against the occurrence of extreme events. Besides the classical approach using annual maxima series (AMS) with the generalized extreme value distribution and different parameter es... |
| Databáze: | OpenAIRE |
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