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Derivation of voellmy model parameters for landslide runout based on co-seismic rock avalanche inventory.

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Title: Derivation of voellmy model parameters for landslide runout based on co-seismic rock avalanche inventory.
Authors: Huang, Jhih-Rou1 (AUTHOR) jhihrou_huang@berkeley.edu, Zekkos, Dimitrios1 (AUTHOR) zekkos@berkeley.edu
Source: Landslides. Jun2026, Vol. 23 Issue 6, p1529-1544. 16p.
Subject Terms: *Rockslides, *Landslides, *Landslide prediction, *Earthquakes, *Friction measurements
Abstract: Runout analyses are a key component of landslide risk assessment and mitigation. Natural disasters provide the opportunity to observe and document the runout of landslides, and these observations can be used to calibrate simple empirical or mechanistic runout models by providing valuable site or region-specific insights. A simple mechanical model that is based on the Voellmy friction law as incorporated in Rapid Mass Movement Simulation Debris Flow (RAMMS-DF), is regressed against hundreds of mapped rock avalanches that were triggered by the Mw 6.5 Lefkada earthquake on November 17, 2015, with the intent to statistically calibrate the two model parameters against numerous observations of landslide runout. It is found that the dry-Coulomb friction (μ) governs the performance of the simulation, whereas the results are less sensitive to viscous-turbulent friction (ξ), especially for large values of ξ. The mode and standard deviation of the dry-Coulomb friction (μ) are found to be 0.9 and 0.28, and the mode and standard deviation of the viscous-turbulent friction (ξ) are 3000 m/s2 and 3314 m/s2. The accuracy of the RAMMS-DF simulation positively correlates with landslide source area, height, and 3D travel distance. The model does not match smaller landslides well (with source areas < 4,000 m2), and in these cases, it systematically overestimates runout compared to field observations. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 193627809
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Derivation of voellmy model parameters for landslide runout based on co-seismic rock avalanche inventory.
– Name: Author
  Label: Authors
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Huang%2C+Jhih-Rou%22&quot;&gt;Huang, Jhih-Rou&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; jhihrou_huang@berkeley.edu&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zekkos%2C+Dimitrios%22&quot;&gt;Zekkos, Dimitrios&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; zekkos@berkeley.edu&lt;/i&gt;
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  Label: Source
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Landslides%22&quot;&gt;Landslides&lt;/searchLink&gt;. Jun2026, Vol. 23 Issue 6, p1529-1544. 16p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Rockslides%22&quot;&gt;Rockslides&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Landslides%22&quot;&gt;Landslides&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Landslide+prediction%22&quot;&gt;Landslide prediction&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Earthquakes%22&quot;&gt;Earthquakes&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Friction+measurements%22&quot;&gt;Friction measurements&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Runout analyses are a key component of landslide risk assessment and mitigation. Natural disasters provide the opportunity to observe and document the runout of landslides, and these observations can be used to calibrate simple empirical or mechanistic runout models by providing valuable site or region-specific insights. A simple mechanical model that is based on the Voellmy friction law as incorporated in Rapid Mass Movement Simulation Debris Flow (RAMMS-DF), is regressed against hundreds of mapped rock avalanches that were triggered by the Mw 6.5 Lefkada earthquake on November 17, 2015, with the intent to statistically calibrate the two model parameters against numerous observations of landslide runout. It is found that the dry-Coulomb friction (μ) governs the performance of the simulation, whereas the results are less sensitive to viscous-turbulent friction (ξ), especially for large values of ξ. The mode and standard deviation of the dry-Coulomb friction (μ) are found to be 0.9 and 0.28, and the mode and standard deviation of the viscous-turbulent friction (ξ) are 3000 m/s2 and 3314 m/s2. The accuracy of the RAMMS-DF simulation positively correlates with landslide source area, height, and 3D travel distance. The model does not match smaller landslides well (with source areas &lt; 4,000 m2), and in these cases, it systematically overestimates runout compared to field observations. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193627809
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10346-026-02736-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1529
    Subjects:
      – SubjectFull: Rockslides
        Type: general
      – SubjectFull: Landslides
        Type: general
      – SubjectFull: Landslide prediction
        Type: general
      – SubjectFull: Earthquakes
        Type: general
      – SubjectFull: Friction measurements
        Type: general
    Titles:
      – TitleFull: Derivation of voellmy model parameters for landslide runout based on co-seismic rock avalanche inventory.
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          Name:
            NameFull: Huang, Jhih-Rou
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          Name:
            NameFull: Zekkos, Dimitrios
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 1612510X
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              Value: 23
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              Value: 6
          Titles:
            – TitleFull: Landslides
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