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<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub"></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/egusphere-2026-1523</article-id>
<title-group>
<article-title>Operational damage misclassification in scenario-based ShakeMaps: evidence from station-updated ground-motion fields in a deep-basin urban environment</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kara</surname>
<given-names>Fatma İ.</given-names>
<ext-link>https://orcid.org/0000-0002-1320-5879</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Architecture, Gebze Technical University, Gebze, Kocaeli, 41400, Türkiye</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>24</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Fatma İ. Kara</copyright-statement>
<copyright-year>2026</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://egusphere.copernicus.org/preprints/2026/egusphere-2026-1523/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1523/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1523/egusphere-2026-1523.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1523/egusphere-2026-1523.pdf</self-uri>
<abstract>
<p>Near-real-time ShakeMap-based damage assessments are widely used to support rapid post-earthquake decision-making. However, their operational reliability depends on how accurately ground-motion fields represent local site and basin effects. This study investigates the potential for operational damage misclassification arising from purely scenario-based ShakeMap representations in deep-basin urban environments.&lt;/p&gt;
&lt;p&gt;The 30 October 2020 Samos earthquake was analysed for the Mansuroğlu Neighborhood (Bayraklı District, Izmir, T&amp;uuml;rkiye) using a two-stage framework: (i) a scenario-based rapid damage estimation and (ii) a station-updated near-real-time configuration incorporating strong-motion recordings from Disaster and Emergency Management Authority of T&amp;uuml;rkiye (AFAD) stations located within a 3 km radius.&lt;/p&gt;
&lt;p&gt;Results show that the scenario-based configuration systematically underestimates intermediate-period spectral demand (T = 0.6&amp;ndash;1.0 s), which governs the response of the predominantly mid-rise reinforced concrete building stock. These discrepancies propagate into cumulative damage exceedance probability estimates. While the scenario-based approach largely confines the {Moderate + Extensive + Collapse} exceedance probability to the 0&amp;ndash;10 % range, station-based updating increases this range to approximately 15&amp;ndash;30 % in critical zones.&lt;/p&gt;
&lt;p&gt;This shift represents a transition across an operationally meaningful threshold with direct implications for response categorization and resource prioritization during the early post-earthquake phase. The findings demonstrate that misclassification risk in rapid damage assessment arises not only from modelling uncertainty but also from threshold-sensitive distortions in exceedance estimation.&lt;/p&gt;
&lt;p&gt;Even a limited number of spatially proximal strong-motion stations can substantially enhance the robustness of ground-motion representation. The study therefore highlights ShakeMap calibration as a governance-relevant intervention in seismic risk management rather than merely a technical refinement.</p>
</abstract>
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