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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>1</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/hess-12-177-2008</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/12/177/2008/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/12/177/2008/hess-12-177-2008.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/12/177/2008/hess-12-177-2008.pdf</fulltext_pdf>
	<start_page>177</start_page>
	<end_page>191</end_page>
	<publication_date>2008-01-31</publication_date>
	<article_title content_type="html">Estimating the suspended sediment yield in a river network by means of geomorphic parameters and regression relationships</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. Grauso</name>
			<email>grauso@casaccia.enea.it</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>G. Fattoruso</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>C. Crocetti</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>A. Montanari</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Dipartimento Ambiente, Cambiamenti Globali e Sviluppo Sostenibile, ENEA Centro Ricerche Casaccia, Roma, Italy</affiliation>
		<affiliation numeration="2" content_type="html">Dipartimento Ambiente, Cambiamenti Globali e Sviluppo Sostenibile, ENEA Centro Ricerche Portici (Napoli), Italy</affiliation>
		<affiliation numeration="3" content_type="html">Faculty of Engineering, University of Bologna, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">An application of regression relationships depending on geomorphic
parameters is proposed to predict the amount of the average annual suspended
sediment yield at different sections of the drainage network. Simple and
multiple regression relationships, utilising the drainage density and the
hierarchical anomaly index as independent variables, based on data from 20
river basins of different size located in Italy, are here tested. An
application is also shown for a small river basin located in central Italy
where it is possible to compare the obtained suspended sediment yield
estimates with reservoirs siltation data. The results confirm the potential
applicability of regression equations for estimating the suspended sediment
yield depending on the topological behaviours of the river network. A
discussion of the reliability of the method for ungauged basins is also
provided, which puts in light the necessity of additional tests to support
the application of the approach to small size watersheds.</abstract>
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</article>

