Academic Journal
Unveiling the Stochasticity of Bank Erosion: A Hybrid Deterministic and Stochastic Modeling Approach.
| Title: | Unveiling the Stochasticity of Bank Erosion: A Hybrid Deterministic and Stochastic Modeling Approach. |
|---|---|
| Authors: | Li, Zhi, Langendoen, Eddy J., García, Marcelo H. |
| Source: | Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-32, 32p |
| Subject Terms: | Stochastic models, Fluvial geomorphology, Hydrodynamics, Environmental risk, Riparian areas, Deterministic algorithms, Erosion |
| Geographic Terms: | Tibetan Plateau |
| Abstract: | This paper presents a new hybrid deterministic‐stochastic river morphodynamics numerical modeling approach that integrates a hydrodynamic model (deterministic) with a bed morphodynamic model (deterministic) and a bank erosion model (Markovian stochastic). The hydrodynamic model solves the Shallow Water Equations and the standard k $k$‐ϵ ${\epsilon}$ model for turbulence closure. Bedload transport is estimated using the Meyer‐Peter and Müller formula, and bed evolution is solved using the Exner equation. The Markovian stochastic bank erosion model uses a new method to evaluate bank erosion risk. The approach was applied to a meander bend cutoff event in the Maiqu River on the Tibetan Plateau. Sixteen different bank‐material critical shear stress cases were considered, representing highly erodible banks (τ‾c=0.1 ${\overline{\tau }}_{c}=0.1$ Pa) to resistant banks (τ‾c=15 ${\overline{\tau }}_{c}=15$ Pa). Ten statistical realizations were performed for each case with different bank‐material erodibility to obtain ensemble‐averaged results. The flow field and bed evolution in the cutoff channel suggest that the model can successfully simulate bank erosion processes during cutoff channel evolution, and bank topographic irregularities are reasonably captured. A newly introduced calibration parameter is the ratio of mesh size to the coupling period between the bank erosion model and the hydrodynamic and morphodynamic model. Unlike the erosion rate calibration parameters used by traditional bank erosion models, the present model requires estimating the size of a typical slump failure to determine the size of the computational mesh. This new modeling approach enhanced existing tools for fluvial geomorphologists and river engineers focused on bank erosion with real‐world complex geometric features under intricate hydraulic conditions. Plain Language Summary: This article introduces a new method for estimating the likelihood of riverbank erosion. The new method is implemented in a computer model that simulates riverbank evolution by considering the topographic irregularities of riverbank lines. We tested the model on the observed evolution of a natural river on the Tibetan Plateau. We found that the model realistically captures real‐world bank features and can show how the river banks change over time. This model can help predict how riverbanks erode, leading to better ways of managing river erosion. Key Points: We introduce a new hybrid deterministic‐stochastic modeling approach, coupling hydrodynamics, morphodynamics, and a Markovian stochastic bank erosion modelThe bank erosion risk is controlled by probability density functions of the near‐bank flow and bank material erodibilityBank erosion is simulated with natural topographic bank features in a stochastic manner under complex hydraulic and geometric conditions [ABSTRACT FROM AUTHOR] |
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| Database: | Biomedical Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edm&genre=article&issn=00431397&ISBN=&volume=61&issue=11&date=20251101&spage=1&pages=1-32&title=Water Resources Research&atitle=Unveiling%20the%20Stochasticity%20of%20Bank%20Erosion%3A%20A%20Hybrid%20Deterministic%20and%20Stochastic%20Modeling%20Approach.&aulast=Li%2C%20Zhi&id=DOI:10.1029/2024WR039336 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Unveiling the Stochasticity of Bank Erosion: A Hybrid Deterministic and Stochastic Modeling Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Zhi%22">Li, Zhi</searchLink><br /><searchLink fieldCode="AR" term="%22Langendoen%2C+Eddy+J%2E%22">Langendoen, Eddy J.</searchLink><br /><searchLink fieldCode="AR" term="%22García%2C+Marcelo+H%2E%22">García, Marcelo H.</searchLink> – Name: TitleSource Label: Source Group: Src Data: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-32, 32p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Stochastic+models%22">Stochastic models</searchLink><br /><searchLink fieldCode="DE" term="%22Fluvial+geomorphology%22">Fluvial geomorphology</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrodynamics%22">Hydrodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+risk%22">Environmental risk</searchLink><br /><searchLink fieldCode="DE" term="%22Riparian+areas%22">Riparian areas</searchLink><br /><searchLink fieldCode="DE" term="%22Deterministic+algorithms%22">Deterministic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Erosion%22">Erosion</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Tibetan+Plateau%22">Tibetan Plateau</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a new hybrid deterministic‐stochastic river morphodynamics numerical modeling approach that integrates a hydrodynamic model (deterministic) with a bed morphodynamic model (deterministic) and a bank erosion model (Markovian stochastic). The hydrodynamic model solves the Shallow Water Equations and the standard k $k$‐ϵ ${\epsilon}$ model for turbulence closure. Bedload transport is estimated using the Meyer‐Peter and Müller formula, and bed evolution is solved using the Exner equation. The Markovian stochastic bank erosion model uses a new method to evaluate bank erosion risk. The approach was applied to a meander bend cutoff event in the Maiqu River on the Tibetan Plateau. Sixteen different bank‐material critical shear stress cases were considered, representing highly erodible banks (τ‾c=0.1 ${\overline{\tau }}_{c}=0.1$ Pa) to resistant banks (τ‾c=15 ${\overline{\tau }}_{c}=15$ Pa). Ten statistical realizations were performed for each case with different bank‐material erodibility to obtain ensemble‐averaged results. The flow field and bed evolution in the cutoff channel suggest that the model can successfully simulate bank erosion processes during cutoff channel evolution, and bank topographic irregularities are reasonably captured. A newly introduced calibration parameter is the ratio of mesh size to the coupling period between the bank erosion model and the hydrodynamic and morphodynamic model. Unlike the erosion rate calibration parameters used by traditional bank erosion models, the present model requires estimating the size of a typical slump failure to determine the size of the computational mesh. This new modeling approach enhanced existing tools for fluvial geomorphologists and river engineers focused on bank erosion with real‐world complex geometric features under intricate hydraulic conditions. Plain Language Summary: This article introduces a new method for estimating the likelihood of riverbank erosion. The new method is implemented in a computer model that simulates riverbank evolution by considering the topographic irregularities of riverbank lines. We tested the model on the observed evolution of a natural river on the Tibetan Plateau. We found that the model realistically captures real‐world bank features and can show how the river banks change over time. This model can help predict how riverbanks erode, leading to better ways of managing river erosion. Key Points: We introduce a new hybrid deterministic‐stochastic modeling approach, coupling hydrodynamics, morphodynamics, and a Markovian stochastic bank erosion modelThe bank erosion risk is controlled by probability density functions of the near‐bank flow and bank material erodibilityBank erosion is simulated with natural topographic bank features in a stochastic manner under complex hydraulic and geometric conditions [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Water Resources Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1029/2024WR039336 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 1 Subjects: – SubjectFull: Tibetan Plateau Type: general – SubjectFull: Stochastic models Type: general – SubjectFull: Fluvial geomorphology Type: general – SubjectFull: Hydrodynamics Type: general – SubjectFull: Environmental risk Type: general – SubjectFull: Riparian areas Type: general – SubjectFull: Deterministic algorithms Type: general – SubjectFull: Erosion Type: general Titles: – TitleFull: Unveiling the Stochasticity of Bank Erosion: A Hybrid Deterministic and Stochastic Modeling Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Zhi – PersonEntity: Name: NameFull: Langendoen, Eddy J. – PersonEntity: Name: NameFull: García, Marcelo H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00431397 Numbering: – Type: volume Value: 61 – Type: issue Value: 11 Titles: – TitleFull: Water Resources Research Type: main |
| ResultId | 1 |