Two-dimensional hydrodynamic modeling for prediction of bank erosion and bed incision in the Indus River.

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Title: Two-dimensional hydrodynamic modeling for prediction of bank erosion and bed incision in the Indus River.
Authors: Boota, Muhammad Waseem1,2 (AUTHOR), Yan, Chaode1,2 (AUTHOR) ycd@zzu.edu.cn, Soomro, Shan-e-hyder1,3 (AUTHOR), Zafar, Muhammad Awais4 (AUTHOR), Li, Ziwei1,2 (AUTHOR), Xu, Jikun1,2 (AUTHOR), Yousaf, Ayesha5 (AUTHOR)
Source: Acta Geophysica. Jun2024, Vol. 72 Issue 3, p2041-2058. 18p.
Subject Terms: *Rough sets, *Two-dimensional models, *Shearing force, *Prediction models, *River conservation
Abstract: The Lower Indus River (LIR) in the Southern Sindh has experienced by multiple measurable changes in its planform and longitudinal profiles over the last 100 years. This research deals with a hydrodynamic model coupled with rough set theory (RST) model findings that accounts for the prediction of lateral and vertical morphodynamic evolution observed over the 32 km reach during the flood episode of 2020. Human interferences and hydrodynamic aspects during high flood periods were assessed in the context of channel morphology. Surveyed cross-sections were used to construct the geometry using two-dimensional (2D) Hydrologic Engineering Center's River Analysis System (HEC-RAS) model, and simulation was completed under the unsteady flow values among the highest runoff and bankfull values. The island and natural bend of the river have higher values of velocities and shear stresses, and consequently higher erosion and incision rate was observed. The bank erosion was computed with high precision (R2 = 0.83) based on improved connection of erodibility coefficient and excess shear stress technique. The present study findings will be helpful to assist in the implementation of river protection works at the given locations of Indus River and will serve as a framework for similar river reaches. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 176996508
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PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Two-dimensional hydrodynamic modeling for prediction of bank erosion and bed incision in the Indus River.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Boota%2C+Muhammad+Waseem%22">Boota, Muhammad Waseem</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Chaode%22">Yan, Chaode</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ycd@zzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Soomro%2C+Shan-e-hyder%22">Soomro, Shan-e-hyder</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zafar%2C+Muhammad+Awais%22">Zafar, Muhammad Awais</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Ziwei%22">Li, Ziwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Jikun%22">Xu, Jikun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yousaf%2C+Ayesha%22">Yousaf, Ayesha</searchLink><relatesTo>5</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Acta+Geophysica%22">Acta Geophysica</searchLink>. Jun2024, Vol. 72 Issue 3, p2041-2058. 18p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Rough+sets%22">Rough sets</searchLink><br />*<searchLink fieldCode="DE" term="%22Two-dimensional+models%22">Two-dimensional models</searchLink><br />*<searchLink fieldCode="DE" term="%22Shearing+force%22">Shearing force</searchLink><br />*<searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br />*<searchLink fieldCode="DE" term="%22River+conservation%22">River conservation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Lower Indus River (LIR) in the Southern Sindh has experienced by multiple measurable changes in its planform and longitudinal profiles over the last 100 years. This research deals with a hydrodynamic model coupled with rough set theory (RST) model findings that accounts for the prediction of lateral and vertical morphodynamic evolution observed over the 32 km reach during the flood episode of 2020. Human interferences and hydrodynamic aspects during high flood periods were assessed in the context of channel morphology. Surveyed cross-sections were used to construct the geometry using two-dimensional (2D) Hydrologic Engineering Center's River Analysis System (HEC-RAS) model, and simulation was completed under the unsteady flow values among the highest runoff and bankfull values. The island and natural bend of the river have higher values of velocities and shear stresses, and consequently higher erosion and incision rate was observed. The bank erosion was computed with high precision (R2 = 0.83) based on improved connection of erodibility coefficient and excess shear stress technique. The present study findings will be helpful to assist in the implementation of river protection works at the given locations of Indus River and will serve as a framework for similar river reaches. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11600-023-01116-2
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 2041
    Subjects:
      – SubjectFull: Rough sets
        Type: general
      – SubjectFull: Two-dimensional models
        Type: general
      – SubjectFull: Shearing force
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: River conservation
        Type: general
    Titles:
      – TitleFull: Two-dimensional hydrodynamic modeling for prediction of bank erosion and bed incision in the Indus River.
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            NameFull: Boota, Muhammad Waseem
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            NameFull: Yan, Chaode
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            NameFull: Soomro, Shan-e-hyder
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            NameFull: Zafar, Muhammad Awais
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            NameFull: Li, Ziwei
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            NameFull: Xu, Jikun
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            NameFull: Yousaf, Ayesha
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 72
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