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<article language="en">
	<journal>
		<journal_title>Natural Hazards and Earth System Science</journal_title>
		<journal_url>www.nat-hazards-earth-syst-sci.net</journal_url>
		<issn>1561-8633</issn>
		<eissn>1684-9981</eissn>
		<volume_number>9</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/nhess-9-135-2009</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/9/135/2009/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/9/135/2009/nhess-9-135-2009.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/9/135/2009/nhess-9-135-2009.pdf</fulltext_pdf>
	<start_page>135</start_page>
	<end_page>144</end_page>
	<publication_date>2009-02-16</publication_date>
	<article_title content_type="html">Rainfall thresholds and flood warning: an operative case study</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>V. Montesarchio</name>
			<email>valeria.montesarchio@uniroma1.it</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>F. Lombardo</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>F. Napolitano</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Hydraulics, Highways and Roads, &quot;Sapienza&quot; University of Rome, 00184 Rome, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">An operative methodology for rainfall thresholds definition is illustrated,
in order to provide at critical river section optimal flood warnings.
Threshold overcoming could produce a critical situation in river sites
exposed to alluvial risk and trigger the prevention and emergency system
alert. The procedure for the definition of critical rainfall threshold
values is based both on the quantitative precipitation observed and the
hydrological response of the basin. Thresholds values specify the
precipitation amount for a given duration that generates a critical
discharge in a given cross section and are estimated by hydrological
modelling for several scenarios (e.g.: modifying the soil moisture
conditions). Some preliminary results, in terms of reliability analysis
(presence of false alarms and missed alarms, evaluated using indicators like
hit rate and false alarm rate) for the case study of Mignone River are
presented.</abstract>
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</article>

