IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v92y2018i3d10.1007_s11069-018-3285-0.html
   My bibliography  Save this article

Kinetic energy and momentum correction coefficients in compound open channels

Author

Listed:
  • Alireza Keshavarzi

    (Western Sydney University
    Shiraz University)

  • Hossein Hamidifar

    (Shiraz University)

Abstract

Flood management is fundamentally unresolved in nature due to several sources of unreliability including parameter uncertainty. Applying inappropriate values for the kinetic energy and momentum correction coefficients (usually named α and β, respectively) can lead to considerable error in the calculation of water surface profiles, critical depth and energy losses in rivers. Due to the strong variations in the streamwise velocity, the values of α and β across compound open channels differ from those in a simple open channel. In this paper, the variations of α and β coefficients are investigated across the main channel and floodplain of two different shapes of compound open channel (rectangular and trapezoidal). Also, variations of these coefficients against the relative flow depth (the ratio of floodplain to main channel flow depths) are discussed. The results show that the values of α and β in the main channel are always lower than those over the floodplain. As flow relative depth increases, the hydraulic behavior of the compound channel tends to that of a simple channel.

Suggested Citation

  • Alireza Keshavarzi & Hossein Hamidifar, 2018. "Kinetic energy and momentum correction coefficients in compound open channels," 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. 92(3), pages 1859-1869, July.
    • Handle: RePEc:spr:nathaz:v:92:y:2018:i:3:d:10.1007_s11069-018-3285-0
    DOI: 10.1007/s11069-018-3285-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3285-0
    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/s11069-018-3285-0?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. Majid Mirzaei & Yuk Huang & Ahmed El-Shafie & Tayebeh Chimeh & Juneseok Lee & Nariman Vaizadeh & Jan Adamowski, 2015. "Uncertainty analysis for extreme flood events in a semi-arid region," 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. 78(3), pages 1947-1960, September.
    2. Beihan Jiang & Kejun Yang & Shuyou Cao, 2015. "An Analytical Model for the Distributions of Velocity and Discharge in Compound Channels with Submerged Vegetation," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-17, July.
    3. Eung Kim & Hyun Choi, 2015. "A method of flood severity assessment for predicting local flood hazards in small ungauged catchments," 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. 78(3), pages 2017-2033, September.
    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. Enliang Guo & Jiquan Zhang & Yongfang Wang & Ha Si & Feng Zhang, 2016. "Dynamic risk assessment of waterlogging disaster for maize based on CERES-Maize model in Midwest of Jilin Province, 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. 83(3), pages 1747-1761, September.
    2. Zhenhua Wang & Jingying Lu & Youquan Yuan & Yinghan Huang & Jingjie Feng & Ran Li, 2019. "Experimental Study on the Effects of Vegetation on the Dissipation of Supersaturated Total Dissolved Gas in Flowing Water," IJERPH, MDPI, vol. 16(13), pages 1-14, June.
    3. Chen Cao & Peihua Xu & Yihong Wang & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas," Sustainability, MDPI, vol. 8(9), pages 1-18, September.
    4. Changjun Liu & Liang Guo & Lei Ye & Shunfu Zhang & Yanzeng Zhao & Tianyu Song, 2018. "A review of advances in China’s flash flood early-warning system," 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. 92(2), pages 619-634, June.
    5. Jianxia Chang & Hongxue Zhang & Yimin Wang & Lianpeng Zhang, 2017. "Impact of climate change on runoff and uncertainty analysis," 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. 88(2), pages 1113-1131, September.
    6. Majid Mirzaei & Haoxuan Yu & Adnan Dehghani & Hadi Galavi & Vahid Shokri & Sahar Mohsenzadeh Karimi & Mehdi Sookhak, 2021. "A Novel Stacked Long Short-Term Memory Approach of Deep Learning for Streamflow Simulation," Sustainability, MDPI, vol. 13(23), pages 1-16, December.

    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:92:y:2018:i:3:d:10.1007_s11069-018-3285-0. 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.