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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>12</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/hess-12-703-2008</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/12/703/2008/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/12/703/2008/hess-12-703-2008.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/12/703/2008/hess-12-703-2008.pdf</fulltext_pdf>
	<start_page>703</start_page>
	<end_page>714</end_page>
	<publication_date>2008-05-06</publication_date>
	<article_title content_type="html">Probability distribution of flood flows in Tunisia</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>H. Abida</name>
			<email>habib.abida@voila.fr</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. Ellouze</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Earth Sciences, Faculty of Science, Sfax, BP 802, 3018 Tunisia</affiliation>
	</affiliations>
	<abstract content_type="html">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.</abstract>
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</article>

