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<front>
<journal-meta>
<journal-id journal-id-type="publisher">NHESS</journal-id>
<journal-title-group>
<journal-title>Natural Hazards and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">NHESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1684-9981</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/nhess-14-2767-2014</article-id>
<title-group>
<article-title>An advanced method for flood risk analysis in river deltas, applied to societal flood fatality risk in the Netherlands</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>de Bruijn</surname>
<given-names>K. M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Diermanse</surname>
<given-names>F. L. M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Beckers</surname>
<given-names>J. V. L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Scenarios and Policy Analysis, Deltares, Delft, the Netherlands</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Inland Water Systems, Deltares, Delft, the Netherlands</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2014</year>
</pub-date>
<volume>14</volume>
<issue>10</issue>
<fpage>2767</fpage>
<lpage>2781</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 K. M. de Bruijn et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://nhess.copernicus.org/articles/14/2767/2014/nhess-14-2767-2014.html">This article is available from https://nhess.copernicus.org/articles/14/2767/2014/nhess-14-2767-2014.html</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/articles/14/2767/2014/nhess-14-2767-2014.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/14/2767/2014/nhess-14-2767-2014.pdf</self-uri>
<abstract>
<p>This paper discusses a new method for flood risk assessment in river deltas.
Flood risk analysis of river deltas is complex, because both storm surges
and river discharges may cause flooding and the effect of upstream breaches
on downstream water levels and flood risk must be taken into account. This
paper presents a Monte Carlo-based flood risk analysis framework for policy
making, which considers both storm surges and river flood waves and includes
effects from hydrodynamic interaction on flood risk. It was applied to
analyse societal flood fatality risk in the Rhine–Meuse delta.</p>
</abstract>
<counts><page-count count="15"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
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