IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v77y2015i3p1811-1827.html
   My bibliography  Save this article

Local scour induced by upstream riverbed level lowering

Author

Listed:
  • Jinzhao Li
  • Meilan Qi

Abstract

Upstream riverbed level lowering causes local scour occurring downstream bed, which may endanger the channel stability and structures safety. In this paper, a series of experiments were conducted to investigate the characteristics of the induced local scour. Meanwhile, a non-equilibrium sediment transport model and a diffusion model were proposed to theoretically predict the scour profiles. The experiment results show that a local scour hole preserves shape similarity during the scouring process. Therefore, formulas based on dimensional analysis and the measured data were developed to describe the temporal variation of the scour hole, including the maximum scour depth, location of the maximum scour and the longitudinal scour length. These parameters were found to be strongly related to the dimensionless excess friction velocity. Comparisons between the theoretical models and the measured data show that the scour process is divided into two stages by a critical time. The maximum scour depth in the earlier and later stages can be well described by the non-equilibrium sediment transport model and diffusion model, respectively. Furthermore, the instantaneous bed profiles near the bottom of the scour hole and further downstream fit well with the non-equilibrium sediment transport model and diffusion model, respectively. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Jinzhao Li & Meilan Qi, 2015. "Local scour induced by upstream riverbed level lowering," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 1811-1827, July.
  • Handle: RePEc:spr:nathaz:v:77:y:2015:i:3:p:1811-1827
    DOI: 10.1007/s11069-015-1677-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-015-1677-y
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-015-1677-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. José Chávez Hernandez & Jiři Šebesta & Lubomir Kopecky & Reynaldo Landaverde, 2014. "Application of geomorphologic knowledge for erosion hazard mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1323-1354, April.
    2. Massimo Conforti & Pietro Aucelli & Gaetano Robustelli & Fabio Scarciglia, 2011. "Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(3), pages 881-898, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rui-Xuan Tang & E-Chuan Yan & Tao Wen & Xiao-Meng Yin & Wei Tang, 2021. "Comparison of Logistic Regression, Information Value, and Comprehensive Evaluating Model for Landslide Susceptibility Mapping," Sustainability, MDPI, vol. 13(7), pages 1-25, March.
    2. Ali Azedou & Said Lahssini & Abdellatif Khattabi & Modeste Meliho & Nabil Rifai, 2021. "A Methodological Comparison of Three Models for Gully Erosion Susceptibility Mapping in the Rural Municipality of El Faid (Morocco)," Sustainability, MDPI, vol. 13(2), pages 1-30, January.
    3. Hamed Ahmadpour & Ommolbanin Bazrafshan & Elham Rafiei-Sardooi & Hossein Zamani & Thomas Panagopoulos, 2021. "Gully Erosion Susceptibility Assessment in the Kondoran Watershed Using Machine Learning Algorithms and the Boruta Feature Selection," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    4. Kennedy Were & Syphyline Kebeney & Harrison Churu & James Mumo Mutio & Ruth Njoroge & Denis Mugaa & Boniface Alkamoi & Wilson Ng’etich & Bal Ram Singh, 2023. "Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya," Land, MDPI, vol. 12(4), pages 1-19, April.
    5. Silvija Šiljeg & Rina Milošević & Marica Mamut, 2024. "Pluvial Flood Susceptibility in the Local Community of the City of Gospić (Croatia)," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    6. Álvaro Gómez-Gutiérrez & Christian Conoscenti & Silvia Angileri & Edoardo Rotigliano & Susanne Schnabel, 2015. "Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 291-314, November.
    7. Anna Małka, 2021. "Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 639-674, May.
    8. Francesca Vergari, 2015. "Assessing soil erosion hazard in a key badland area of Central Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 71-95, November.
    9. Sandipta Debanshi & Swades Pal, 2020. "Assessing gully erosion susceptibility in Mayurakshi river basin of eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 883-914, February.
    10. Marta Jurchescu & Florina Grecu, 2015. "Modelling the occurrence of gullies at two spatial scales in the Olteţ Drainage Basin (Romania)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 255-289, November.
    11. José Alexander Chavez Hernandez & Milan Lazecký & Jiří Šebesta & Matúš Bakoň, 2020. "Relation between surface dynamics and remote sensor InSAR results over the Metropolitan Area of San Salvador," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3661-3682, September.
    12. Rabin Chakrabortty & Subodh Chandra Pal & Mehebub Sahana & Ayan Mondal & Jie Dou & Binh Thai Pham & Ali P. Yunus, 2020. "Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1259-1294, November.
    13. Swades Pal & Sandipta Debanshi, 2018. "Influences of soil erosion susceptibility toward overloading vulnerability of the gully head bundhs in Mayurakshi River basin of eastern Chottanagpur Plateau," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(4), pages 1739-1775, August.
    14. Omid Rahmati & Ali Haghizadeh & Stefanos Stefanidis, 2016. "Assessing the Accuracy of GIS-Based Analytical Hierarchy Process for Watershed Prioritization; Gorganrood River Basin, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1131-1150, February.
    15. Shifa Chen & Wen Liu & Yonghui Bai & Xiaoying Luo & Hangfei Li & Xuan Zha, 2021. "Evaluation of watershed soil erosion hazard using combination weight and GIS: a case study from eroded soil in Southern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(2), pages 1603-1628, November.
    16. Hang Ha & Chinh Luu & Quynh Duy Bui & Duy-Hoa Pham & Tung Hoang & Viet-Phuong Nguyen & Minh Tuan Vu & Binh Thai Pham, 2021. "Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 1247-1270, October.
    17. José Chávez Hernandez & Jiři Šebesta & Lubomir Kopecky & Reynaldo Landaverde, 2014. "Application of geomorphologic knowledge for erosion hazard mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1323-1354, April.
    18. Michael R. Coughlan & Donald R. Nelson & Michael Lonneman & Ashley E. Block, 2017. "Historical Land Use Dynamics in the Highly Degraded Landscape of the Calhoun Critical Zone Observatory," Land, MDPI, vol. 6(2), pages 1-20, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:77:y:2015:i:3:p:1811-1827. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.