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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>13</volume_number>
		<issue_number>7</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-1019-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/1019/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/1019/2009/hess-13-1019-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/1019/2009/hess-13-1019-2009.pdf</fulltext_pdf>
	<start_page>1019</start_page>
	<end_page>1029</end_page>
	<publication_date>2009-07-07</publication_date>
	<article_title content_type="html">A look at the links between drainage density and flood statistics</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>B. Pallard</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. Castellarin</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. Montanari</name>
			<email>alberto.montanari@unibo.it</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">International Center for Agricultural Science and Natural resource  Management Studies, Montpellier Supagro, Montpellier, France</affiliation>
		<affiliation numeration="2" content_type="html">Faculty of Engineering, University of Bologna, Bologna, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">We investigate the links between the drainage density of a river basin and
selected flood statistics, namely, mean, standard deviation, coefficient of
variation and coefficient of skewness of annual maximum series of peak flows.
The investigation is carried out through a three-stage analysis. First, a
numerical simulation is performed by using a spatially distributed
hydrological model in order to highlight how flood statistics change with
varying drainage density. Second, a conceptual hydrological model is used in
order to analytically derive the dependence of flood statistics on drainage
density. Third, real world data from 44 watersheds located in northern Italy
were analysed. The three-level analysis seems to suggest that a critical
value of the drainage density exists for which a minimum is attained in both
the coefficient of variation and the absolute value of the skewness
coefficient. Such minima in the flood statistics correspond to a minimum of
the flood quantile for a given exceedance probability (i.e., recurrence
interval). Therefore, the results of this study may provide useful
indications for flood risk assessment in ungauged basins.</abstract>
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