Improved discharge prediction models for flow measurements using Central Baffle Flumes

被引:0
|
作者
Nair, P. Sujith [1 ]
Ghare, Aniruddha D. [1 ]
Kapoor, Ankur [2 ]
Badar, Avinash M. [3 ]
机构
[1] Visvesvaraya Natl Inst Technol, Dept Civil Engn, Nagpur 440010, India
[2] Adani Univ, Dept Civil & Infrastruct Engn, Ahmadabad 382421, India
[3] KDK Coll Engn, Nagpur 440009, India
关键词
Conical CBF; Cylindrical CBF; Discharge model; Water sustainability;
D O I
10.1016/j.flowmeasinst.2025.102882
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Flow measurement in open channels using mobile or portable flumes is an effective solution for accurate discharge predictions. Researchers have developed various models using dimensional analysis, primarily considering upstream flow depth (y1) and flume geometric parameters. The present study aims to improved discharge prediction models by incorporating the effect of critical depth (yc) and ensuring applicability to both conical and cylindrical baffles. By studying flow through a Conical Central Baffle Flume (CBF) in trapezoidal channels, the research utilizes experiments and CFD-based simulations to gather data from six Conical CBFs with varying discharges. Applying Buckingham's it-method, two new discharge prediction models have been developed and calibrated. These discharge models include upstream flow depth and flume's geometric parameters as key influencing variables, while the effect of critical depth is incorporated through these key influencing variables (i.e. y1, B, D, and c). The first model showed an absolute mean relative discharge error of 1.84 %, while the second model exhibited absolute mean relative errors of 1.99 %. Given the geometric similarity between conical and cylindrical baffles, these models were also validated for their use with Cylindrical CBFs, to confirm their broader applicability. Both the developed models were evaluated using statistical indices (RMSE, RME, PBIAS, and NSE), and as the first model is found to be more accurate, it has been proposed to estimate flow rate. The comparison of the developed models with existing models from the literature for both Conical and Cylindrical CBFs demonstrated that the proposed discharge model (Discharge Model-1) exhibited lower mean relative error in predicting flow rates. The study concludes that incorporating the effect of critical depth in development of models improves discharge prediction accuracy, making these models valuable for field engineers using both Conical and Cylindrical CBFs in trapezoidal channels with side slopes ranging from 0.5 to 1.5, for flow rate measurements.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Discharge-flow kinetics measurements using intracavity laser absorption spectroscopy
    Sheehy, P
    Steinfeld, JI
    JOURNAL OF PHYSICAL CHEMISTRY B, 2005, 109 (17): : 8358 - 8362
  • [22] Comparative assessment of water surface level using different discharge prediction models
    Mokhtar, Ernieza Suhana
    Pradhan, Biswajeet
    Ghazali, Abd Halim
    Shafri, Helmi Zulhaidi Mohd
    NATURAL HAZARDS, 2017, 87 (02) : 1125 - 1146
  • [23] Comparative assessment of water surface level using different discharge prediction models
    Ernieza Suhana Mokhtar
    Biswajeet Pradhan
    Abd Halim Ghazali
    Helmi Zulhaidi Mohd Shafri
    Natural Hazards, 2017, 87 : 1125 - 1146
  • [24] Real time flow prediction using fuzzy logic models
    Debebe, A
    Bauwens, W
    APPLIED MODELING OF URBAN WATER SYSTEMS, MONOGRAPH 8, 2000, 8 : 175 - 182
  • [25] Improved Prediction of the Flow in Cylindrical Critical Flow Venturi Nozzles Using a Transitional Model
    Weiss, Sebastian
    Mickan, Bodo
    Polansky, Jiri
    Oberleithner, Kilian
    Baer, Markus
    Schmelter, Sonja
    FLOW TURBULENCE AND COMBUSTION, 2024, 113 (02) : 363 - 389
  • [26] Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements
    Schreuder, A.
    Jacobs, C.
    Lessmann, N.
    Scholten, E.
    Isgum, I.
    Prokop, M.
    Schaefer-Prokop, C.
    Van Ginneken, B.
    JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (10) : S428 - S428
  • [27] Dielectric Constant of Sand Using TDR and FDR Measurements and Prediction Models
    Umenyiora, Chidubem Andrew
    Druce, R. L.
    Curry, Randy D.
    Norgard, Peter
    McKee, T.
    Bowders, J. J.
    Bryan, D. A.
    IEEE TRANSACTIONS ON PLASMA SCIENCE, 2012, 40 (10) : 2408 - 2415
  • [28] Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
    Ekeberg, Magnus
    Lovkvist, Cecilia
    Lan, Yueheng
    Weigt, Martin
    Aurell, Erik
    PHYSICAL REVIEW E, 2013, 87 (01)
  • [29] Online Dynamic Travel Time Prediction using Speed and Flow Measurements
    Ojeda, Luis Leon
    Kibangou, Alain Y.
    de Wit, Carlos Canudas
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 4045 - 4050
  • [30] Evaluation of discharge measurements methods in a natural river of low or middle flow using an electromagnetic flow meter
    Pantelakis, Dimitrios
    Doulgeris, Charalampos
    Hatzigiannakis, Evangelos
    Arampatzis, George
    RIVER RESEARCH AND APPLICATIONS, 2022, 38 (06) : 1003 - 1013