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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>
<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-2026-5623</article-id>
<title-group>
<article-title>VADERS v1.0: A Mechanistic Model for Vertical Atmospheric Dispersion of Biological Contaminants with Deposition, Resuspension, and Surface Inactivation</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liboriussen</surname>
<given-names>Michael Skytte</given-names>
</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>Hansen</surname>
<given-names>Jesper Schmidt</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Science and Environment, Roskilde University, Roskilde, Denmark</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Centre for Biosecurity and Biopreparedness, Statens Serum Institut, Copenhagen, Denmark</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>11</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>25</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Michael Skytte Liboriussen</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-2026-5623/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5623/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5623/egusphere-2026-5623.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5623/egusphere-2026-5623.pdf</self-uri>
<abstract>
<p>A fundamental understanding of the processes governing atmospheric dispersion of contaminants is essential for optimizing the emergency response following a biological incident. We present a mechanistic, vertically resolved atmospheric dispersion model that couples advection and diffusion in the atmosphere with surface deposition, resuspension and decay due to inactivation through a flux-exchange lower boundary. Air-clearance time is compared for two analytically solved reference cases, namely (i) perfect contaminant deposition and (ii) zero contaminant deposition. The model is applied to scenarios with constant turbulent diffusivity, a linear parameterization of turbulent diffusivity, and time-dependent resuspension, and compared to the reference cases. These scenarios are studied numerically. A non-monotonic dependence of the air-clearance time on the ratio of resuspension rate to deposition velocity is observed. We refer to the parameter region in which the air-clearance time exceeds that of reference case (ii) as the overshoot regime. This behaviour is associated with a slowly evolving air-surface exchange state with airborne contaminant. This regime is observed both for the scenarios assuming constant turbulent diffusivity and the linear parametrization of the turbulent diffusivity. The time-dependent resuspension is a logistic decay function which can be used to emulate scenarios with time intervals of high and low traffic. The model provides a simplified framework for investigating atmospheric persistence and air-surface exchange processes and may serve as a building block for more comprehensive atmospheric dispersion models.</p>
</abstract>
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