IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v169y2023ics0960077923001868.html
   My bibliography  Save this article

Analytical modeling of vertical distribution of streamwise velocity in open channels using fractional entropy

Author

Listed:
  • Kumbhakar, Manotosh
  • Tsai, Christina W.

Abstract

Following the work of Chiu based on classical Shannon entropy, several kinds of generalized entropies have been explored in literature for studying open-channel flow. In this work, we explore a new kind of entropy, namely fractional entropy, which is based on the popular fractional calculus, to derive the vertical distribution of streamwise velocity in open channels. The velocity profile is derived analytically using the series approximation for the Lambert function. Also, the entropy index (i.e., the order of the fractional derivative) is considered a varying parameter and is computed along with the Lagrange multipliers by solving a nonlinear system using the second-order moment constraint, i.e., the momentum balance equation. The derived velocity equation is validated with selected laboratory and field data and compared with the Shannon, Tsallis, and Renyi entropy-based velocity profiles. It is observed that the proposed model can predict the measured values well for all the cases and the model corresponding to the entropy-based momentum coefficient formula is superior to all the abovementioned models. Further, the effects of Lagrange multipliers and the entropy index on the velocity profile are discussed. Also, the entropy index values for all the data are not close to zero, which specializes the entropy into the classical Shannon entropy, and hence, the approach justifies the applicability of the fractional entropy over the Shannon entropy in the context of open-channel flow velocity. Moreover, the methodology is developed based on an approximation of the series, which is based on a convergence criterion. This criterion needs to be verified against each of the data sets and, therefore, may become a difficult task for handling large data sets. To address this issue, this study provides a possible way of reformulating the mathematical model in terms of a nonlinear system with inequality constraint as a scope for future research. Finally, it is expected that the study can be further extended to study other kinds of important hydraulic variables such as sediment concentration, shear stress, etc.

Suggested Citation

  • Kumbhakar, Manotosh & Tsai, Christina W., 2023. "Analytical modeling of vertical distribution of streamwise velocity in open channels using fractional entropy," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:chsofr:v:169:y:2023:i:c:s0960077923001868
    DOI: 10.1016/j.chaos.2023.113285
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077923001868
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2023.113285?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. Kumbhakar, Manotosh & Tsai, Christina W., 2022. "A probabilistic model on streamwise velocity profile in open channels using Tsallis relative entropy theory," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    2. Huang, Chi-Hsiang & Tsai, Christina W. & Wu, Kuan-Ting, 2020. "Estimation of near-bed sediment concentrations in turbulent flow beyond normality," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Gholami, Azadeh & Bonakdari, Hossein & Mohammadian, Abdolmajid, 2019. "A method based on the Tsallis entropy for characterizing threshold channel bank profiles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    4. Kumbhakar, Manotosh & Ghoshal, Koeli, 2016. "Two dimensional velocity distribution in open channels using Renyi entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 546-559.
    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. Kumbhakar, Manotosh & Ghoshal, Koeli & Singh, Vijay P., 2017. "Derivation of Rouse equation for sediment concentration using Shannon entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 494-499.
    2. Kundu, Snehasis, 2017. "Derivation of Hunt equation for suspension distribution using Shannon entropy theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 488(C), pages 96-111.
    3. Kumbhakar, Manotosh & Tsai, Christina W., 2022. "A probabilistic model on streamwise velocity profile in open channels using Tsallis relative entropy theory," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    4. Khozani, Zohreh Sheikh & Bonakdari, Hossein, 2018. "Formulating the shear stress distribution in circular open channels based on the Renyi entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 114-126.
    5. Ghoshal, Koeli & Kumbhakar, Manotosh & Singh, Vijay P., 2019. "Distribution of sediment concentration in debris flow using Rényi entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 267-281.
    6. Kazemian-Kale-Kale, Amin & Bonakdari, Hossein & Gholami, Azadeh & Khozani, Zohreh Sheikh & Akhtari, Ali Akbar & Gharabaghi, Bahram, 2018. "Uncertainty analysis of shear stress estimation in circular channels by Tsallis entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 558-576.

    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:eee:chsofr:v:169:y:2023:i:c:s0960077923001868. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.