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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-2023-194</article-id>
<title-group>
<article-title>Dependence Models for Multi-Hazard-Events</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pflug</surname>
<given-names>Georg C.</given-names>
<ext-link>https://orcid.org/0000-0001-8215-3550</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kittler</surname>
<given-names>Viktoria</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>Hochrainer-Stigler</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>University of Vienna, Faculty of Econmics and Statistics, Oskar Morgenstern Platz 1, A- 1090 Vienna, Austria</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>IIASA - International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria</addr-line>
</aff>
<pub-date pub-type="epub">
<day>29</day>
<month>02</month>
<year>2024</year>
</pub-date>
<volume>2024</volume>
<fpage>1</fpage>
<lpage>25</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2024 Georg C. Pflug et al.</copyright-statement>
<copyright-year>2024</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-2023-194/">This article is available from https://nhess.copernicus.org/preprints/nhess-2023-194/</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/nhess-2023-194/nhess-2023-194.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/preprints/nhess-2023-194/nhess-2023-194.pdf</self-uri>
<abstract>
<p>In recent years, the focus of research about natural hazards has turned from single-hazard studies to multi-hazard ones. While single hazards (like earthquakes, floods, droughts, etc.) have been extensively studied in the past and many quantitative statements about intensities and severities are available, quantitative studies about multi-hazards and dependencies are still rare. This paper introduces new statistical models for the dependencies of cat-event processes of different hazard types based on Poisson-type event processes. Moreover, the models are applied to data for several natural hazard events from the Danube area in Europe. The analysis should help to bridge the gap between the more conceptual contributions to this discussion by providing empirical evidence on interactions on a large-scale region.</p>
</abstract>
<counts><page-count count="25"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>Horizon 2020 Framework Programme</funding-source>
<award-id>101003276</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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<back>
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</article>