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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/nhessd-2-5171-2014</article-id>
<title-group>
<article-title>Floods in the Niger basin &amp;ndash; analysis and attribution</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Aich</surname>
<given-names>V.</given-names>
<ext-link>https://orcid.org/0000-0002-3699-3775</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>Koné</surname>
<given-names>B.</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>Hattermann</surname>
<given-names>F. F.</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>Müller</surname>
<given-names>E. N.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Potsdam Institute for Climate Impact  Research, Potsdam,  Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Wetlands International, Mali  Office, Mopti, Mali</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Institute of Earth and Environmental  Science, University of Potsdam,  Potsdam, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>08</month>
<year>2014</year>
</pub-date>
<volume>2</volume>
<issue>8</issue>
<fpage>5171</fpage>
<lpage>5212</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 V. Aich 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/preprints/2/5171/2014/nhessd-2-5171-2014.html">This article is available from https://nhess.copernicus.org/preprints/2/5171/2014/nhessd-2-5171-2014.html</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/2/5171/2014/nhessd-2-5171-2014.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/preprints/2/5171/2014/nhessd-2-5171-2014.pdf</self-uri>
<abstract>
<p>This study addresses the increasing flood risk in the Niger basin
  and assesses the damages that arise from flooding.  Statistics from
  three different sources (EM-DAT, Darthmouth Flood Observatory,
  NatCat Munich RE) on people affected by floods show positive trends
  for the entire basin beginning in the 1980s. An assessment of four
  subregions across the Niger basin indicates even exponential trends
  for the Sahelian and Sudanian regions. These positive trends for
  flooding damage match up to a time series of annual maximum
  discharge (AMAX): the strongest trends in AMAX are detected in the
  Sahelian and Sudanian regions, where the population is also
  increasing the fastest and vulnerability generally appears to be
  very high. The joint effect of these three factors can possibly
  explain the exponential increase in people affected by floods in
  these subregions. In a second step, the changes in AMAX are
  attributed to changes in precipitation and land use via a data-based
  approach within a hypothesis-testing framework. Analysis of
  rainfall, heavy precipitation and the runoff coefficient shows
  a coherent picture of a return to wet conditions in the basin, which
  we identify as the main driver of the increase in AMAX in the Niger
  basin. The analysis of flashiness (using the Richards–Baker Index)
  and the focus on the &quot;Sahel Paradox&quot; of the Sahelian region reveal
  an additional influence of land-use change, but it seems minor
  compared to the increase in precipitation.</p>
</abstract>
<counts><page-count count="42"/></counts>
</article-meta>
</front>
<body/>
<back>
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