IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v34y2020i13d10.1007_s11269-020-02674-6.html
   My bibliography  Save this article

Upstream Cutoff and Downstream Filters to Control of Seepage in Dams

Author

Listed:
  • Farzin Salmasi

    (University of Tabriz)

  • Meysam Nouri

    (University of Urmia)

  • John Abraham

    (University of St. Thomas, Minnesota, School of Engineering)

Abstract

The finite element method was used in this study to investigate cutoff walls and downstream filters to control seepage, the exit hydraulic gradient, and uplift forces for dams. Experimental data was used for validating the numerical modelling. The effective parameters are the length of filter and its distance downstream from the dam, the depth of the cutoff walls, the upstream dam head, and the thickness of alluvial foundation. The results show that by increasing filter length, the exit hydraulic gradient, uplift force, and seepage are reduced. The optimum relative length of the filter is L/H = 0.028 which results in a decrease of about 65% in the exit hydraulic gradient, a 35% decrease in seepage and 10% reduction in the uplift force at the upstream foundation and a 60% decrease in the uplift force at the downstream foundation. Increase of cutoff wall depth reduces the exit hydraulic gradient, uplift force, and seepage. Using two cutoff walls both upstream and downstream of the dam decreases seepage, hydraulic gradient, and uplift force 132%, 450% and 11% respectively. However, using an upstream cutoff and downstream filter decreases seepage, hydraulic gradient, and uplift force by 180%, 490%, and 119% respectively. Thus, based on this study, recommendations for suitable combinations of upstream cutoff and downstream filter are provided.

Suggested Citation

  • Farzin Salmasi & Meysam Nouri & John Abraham, 2020. "Upstream Cutoff and Downstream Filters to Control of Seepage in Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4271-4288, October.
  • Handle: RePEc:spr:waterr:v:34:y:2020:i:13:d:10.1007_s11269-020-02674-6
    DOI: 10.1007/s11269-020-02674-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02674-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-020-02674-6?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. Puneet Khatavkar & Larry W. Mays, 2017. "Optimization Models for the Design of Vegetative Filter Strips for Stormwater Runoff and Sediment Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2545-2560, July.
    2. Nafiseh Khoramshokooh & Mehdi Veiskarami & Mohammad Reza Nikoo & Somayeh Pourvahedi Roshandeh, 2018. "Multi-Objective Hydraulic Optimization of Diversion Dam’s Cut-Off," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3723-3736, September.
    3. Raj Singh, 2011. "Design of Barrages with Genetic Algorithm Based Embedded Simulation Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 409-429, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arjun Prasad & Raj Mohan Singh & S. K. Duggal, 2021. "Optimal Design of Barrage Profile on Anisotropic Soil Using Multi‐Objective Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2433-2448, June.
    2. Milica Markovic & Jelena Markovic Brankovic & Miona Andrejevic Stosovic & Srdjan Zivkovic & Bojan Brankovic, 2021. "A New Method for Pore Pressure Prediction on Malfunctioning Cells Using Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 979-992, February.
    3. Waqed H. Hassan & Hussein H. Hussein & Duaa H. Khashan & Musa H. Alshammari & Basim K. Nile, 2022. "Application of the Coupled Simulation–optimization Method for the Optimum Cut-off Design Under a Hydraulic Structure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4619-4636, September.

    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. Mohammad Nikoo & Nafise Khorramshokouh & Shahryar Monghasemi, 2015. "Optimal Design of Detention Rockfill Dams Using a Simulation-Based Optimization Approach with Mixed Sediment in the Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5469-5488, December.
    2. Arjun Prasad & Raj Mohan Singh & S. K. Duggal, 2021. "Optimal Design of Barrage Profile on Anisotropic Soil Using Multi‐Objective Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2433-2448, June.
    3. Wen Zhang & Jing Li & Yunhao Chen & Yang Li, 2019. "A Surrogate-Based Optimization Design and Uncertainty Analysis for Urban Flood Mitigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4201-4214, September.
    4. Mohamed Louati & Sihem Benabdallah & Fethi Lebdi & Darko Milutin, 2011. "Application of a Genetic Algorithm for the Optimization of a Complex Reservoir System in Tunisia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2387-2404, August.
    5. Ahmad Sharafati & Siyamak Doroudi & Shamsuddin Shahid & Ali Moridi, 2021. "A Novel Stochastic Approach for Optimization of Diversion System Dimension by Considering Hydrological and Hydraulic Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3649-3677, September.
    6. Waqed H. Hassan & Hussein H. Hussein & Duaa H. Khashan & Musa H. Alshammari & Basim K. Nile, 2022. "Application of the Coupled Simulation–optimization Method for the Optimum Cut-off Design Under a Hydraulic Structure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4619-4636, September.
    7. Hriday Kalita & Arup Sarma & Rajib Bhattacharjya, 2014. "Evaluation of Optimal River Training Work Using GA Based Linked Simulation-Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2077-2092, June.

    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:waterr:v:34:y:2020:i:13:d:10.1007_s11269-020-02674-6. 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.