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<front>
<journal-meta>
<journal-id journal-id-type="publisher">NHESSD</journal-id>
<journal-title-group>
<journal-title>Natural Hazards and Earth System Sciences Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">NHESSD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2195-9269</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/nhess-2019-356</article-id>
<title-group>
<article-title>An integrated hydrological and hydraulic modelling approach for the flood risk assessment over Po river basin</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nogherotto</surname>
<given-names>Rita</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>Fantini</surname>
<given-names>Adriano</given-names>
<ext-link>https://orcid.org/0000-0002-8090-213X</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Raffaele</surname>
<given-names>Francesca</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>Di Sante</surname>
<given-names>Fabio</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>Dottori</surname>
<given-names>Francesco</given-names>
<ext-link>https://orcid.org/0000-0002-1388-3303</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Coppola</surname>
<given-names>Erika</given-names>
<ext-link>https://orcid.org/0000-0001-6944-5815</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Giorgi</surname>
<given-names>Filippo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>International Centre for Theoretical Physics, Trieste, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>European Commission, Joint Research Centre, Ispra, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>29</day>
<month>11</month>
<year>2019</year>
</pub-date>
<volume>2019</volume>
<fpage>1</fpage>
<lpage>22</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 Rita Nogherotto et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/nhess-2019-356/">This article is available from https://nhess.copernicus.org/preprints/nhess-2019-356/</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/nhess-2019-356/nhess-2019-356.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/preprints/nhess-2019-356/nhess-2019-356.pdf</self-uri>
<abstract>
<p>&lt;p&gt;Identification of flood prone areas is instrumental for a large number of applications, ranging from engineering to climate change studies, and provides essential information for planning effective emergency responses. In this work we describe an integrated hydrological and hydraulic modeling approach for the assessment of flood-prone areas in Italy and we present the first results obtained over the Po river (Northern Italy) at a resolution of 90&amp;thinsp;m.
River discharges are obtained through the hydrological model CHyM driven by GRIPHO, a newly-developed high resolution hourly precipitation dataset. Runoff data is then used to obtain Synthetic Design Hydrographs (SDHs) for different return periods along the river network. Flood hydrographs are subsequently processed by a parallelized version of the CA2D hydraulic model to calculate the flow over an &lt;i&gt;ad hoc&lt;/i&gt; re-shaped HydroSHEDS digital elevation model which includes information about the channel geometry. 
Modeled hydrographs and SDHs are compared with those obtained from observed data for a choice of gauging stations, showing an overall good performance of the CHyM model. The flood hazard maps for return periods of 50, 100, 500 are validated by comparison with the official flood hazard maps produced by the River Po Authority (Adbpo) and with the Joint  Research  Centre&apos;s (JRC) pan-European maps. The results show a good agreement with the available official national flood maps for high return periods. For lower return periods the results and less satisfactory but overall the application suggests strong potential of the proposed approach for future applications.&lt;/p&gt;</p>
</abstract>
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