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| Titel |
Probability distribution of flood flows in Tunisia |
| VerfasserIn |
H. Abida, M. Ellouze |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 12, no. 3 ; Nr. 12, no. 3 (2008-05-06), S.703-714 |
| Datensatznummer |
250010652
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| Publikation (Nr.) |
 copernicus.org/hess-12-703-2008.pdf |
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| Zusammenfassung |
| L (Linear) moments are used in identifying regional flood frequency
distributions for different zones Tunisia wide. 1134 site-years of annual
maximum stream flow data from a total of 42 stations with an average record
length of 27 years are considered. The country is divided into two
homogeneous regions (northern and central/southern Tunisia) using a
heterogeneity measure, based on the spread of the sample L-moments among the
sites in a given region. Then, selection of the corresponding distribution
is achieved through goodness-of-fit comparisons in L-moment diagrams and
verified using an L moment based regional test that compares observed to
theoretical values of L-skewness and L-kurtosis for various candidate
distributions. The distributions used, which represent five of the most
frequently used distributions in the analysis of hydrologic extreme
variables are: (i) Generalized Extreme Value (GEV), (ii) Pearson Type III
(P3), (iii) Generalized Logistic (GLO), (iv) Generalized Normal (GN), and
(v) Generalized Pareto (GPA) distributions. Spatial trends, with respect to
the best-fit flood frequency distribution, are distinguished: Northern
Tunisia was shown to be represented by the GNO distribution while the GNO
and GEV distributions give the best fit in central/southern Tunisia. |
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