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Probability Distribution of Flood Flows in Tunisia : Volume 12, Issue 3 (06/05/2008)

By Abida, H.

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Book Id: WPLBN0003977360
Format Type: PDF Article :
File Size: Pages 12
Reproduction Date: 2015

Title: Probability Distribution of Flood Flows in Tunisia : Volume 12, Issue 3 (06/05/2008)  
Author: Abida, H.
Volume: Vol. 12, Issue 3
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Ellouze, M., & Abida, H. (2008). Probability Distribution of Flood Flows in Tunisia : Volume 12, Issue 3 (06/05/2008). Retrieved from

Description: Department of Earth Sciences, Faculty of Science, Sfax, BP 802, 3018 Tunisia. 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.

Probability distribution of flood flows in Tunisia

Abdul, K. M. and Chowdhury, J. U.: A comparison of four distributions used in flood frequency analysis in Bangladesh, Hydro. Sci., 40(2), 55–66, 1995.; Alila, Y. and Mtiraoui, A.: Implications of heterogeneous flood-frequency distributions on traditional stream-discharge prediction techniques, Hydrol. Processes, 16, 1065–1084, 2002.; Beard, L. R.: Flood flow frequency techniques, Center for research in water Resources, The University of Texas, Austin, 1974.; Benson, M. A.: Uniform flood frequency estimation methods for federal agencies, Water Resour. Res., 4(5), 891–908, 1968.; Bobee, B. and Rasmussen, P. F.: Reviews of Geophysics, US National Report, twenty-first General assembly, International Union of Geodesy and Geophysiscs, Boulder, Colorado, 1111–1116, 1995.; Cathcart, J. G.: The effects of scale and storm severity on the linearity of watershed response revealed through the regional L-moment analysis of annual peak flows, Ph.D thesis, Institute of Resources and Environment, University of British Columbia, Canada, 2001.; Cong, S., Li, Y., Vogel, J. L., and Schaake, J. C.: Identification of the underlying distribution form of precipitation by using regional data, Water Resour. Res., 29(4), 1103–1111, 1993.; Cunnane, C.: Statistical distributions for flood frequency analysis, Operational hydro., World Meteorological Org. (WMO), Geneva, Switzerland, Rep. 33, 1989.; Farquharson, F. A. K., Green, C. S., Meigh, J. R., and Sutcliffe, J. V.: Comparison of flood frequency curves for many different regions in the world, Regional flood frequency analysis, edited by: Singh, V. P., D. Reidel Publishing Co., Dordrecht, Holland, 223–256, 1987.; Finlayson, B. L. and McMahon, T. A.: Global runoff Encyclopedia of earth system science, Academic Press Inc., San Diego, Calif, vol. 2, 1992.; Gingras, D. and Adamowski, K.: Coupling of non-parametric frequency and L-moment analysis for mixed distribution identification, Water Resour. Bull., 28(2), 263–272, 1992.; Gupta, V. K., Mesa, O. J., and Dawdy, D. R.: Multiscaling theory of flood peaks: Regional quantile analysis, Water Resour. Res., 30(12), 3405–3421, 1994.; Gunasekara, T. A. G. and Cunnane, C.: Split sampling technique for selecting a flood frequency analysis procedure, J. Hydrol., 130, 189–200, 1992.; Hosking, J. R. M. and Wallis, J. R.: Regional flood-frequency analysis using L-moments, IBM Research, Yorktown Heights, New York, Rep. 15658, 1990.; Hosking, J. R. M.: L-moments: analysis and estimation of distributions using linear combinations of order statistics, J. Royal Statis. Soc., Series B, 52, 105–124, 1990.; Hosking, J. R. M. and Wallis, J. R.: Some statistics useful in regional frequency analysis, Water Resour. Res., 29(2), 271–281, 1993.; IEA (Institution of Engineers, Australia): Australia rainfall and runoff: Flood analysis and design, IEA, Canberra, 1977.; Jingyi, Z. and Hall, M. J.: Regional flood frequency analysis for the Gan-Ming River basin in China, J. Hydrol., 296(1–4), 98–117, 2004.; Klemes, V.: Tall tables about tails of hydrological distributions I, J. Hydrol. Eng., 5(3), 227–231, 2000a.; Klemes, V.: Tall tables about tails of hydrological distributions II, J. Hydrol. Eng., 5(3), 232–239, 2000b.; Kritsky, S. N. and Menkel, F. M.: On principles of estimation methods of maximum discharge, IAHS Publ., 84, 1969.; McMahon, T. A. and Srikanthan, R.: Log Pearson III distribution – is it applicable to flood frequency analysis of Australian streams?, J. Hydrol., 52, 139–147, 1981.; McMahon, T. A., Finlayson, B. L., Haines, A. T., and Srikanthan, R.: Global runoff – continental comparisons of annual flows and peak discharges, Catena Verlag, Cremlingen-Destedt, Germany, 1992.; Nathan, R. J. and Weinmann, P. E.: Application of at-site and regional flood frequency analysis, Proc. Int. Hydrology and W


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