Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.4
Journals
Water
Special Issues
Advanced Turbulence Measurements and Simulations in River Flow Research: From...
share announcement

Advanced Turbulence Measurements and Simulations in River Flow Research: From Experimental Flume- and Field- Scale Experiments to Computational Fluid Dynamics (CFD)

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydraulics and Hydrodynamics".

Deadline for manuscript submissions: closed (30 January 2023) | Viewed by 3920

Special Issue Editor

Dr. Giuseppe Francesco Cesare Lama

E-Mail Website
Guest Editor
Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy
Interests: ecohydraulics; vegetated flows; turbulence; CFD; experimental analysis; water resources management; remote sensing; river hydraulics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rigorous and appropriate analysis of the main statistical features associated with the most relevant turbulent water flow patterns in real-scale rivers is crucial in fluvial engineering. The experimental measurements (PIV, ADV) and Computational Fluid Dynamics (RANS, LES, V-LES) provide highly powerful support for such ecohydrodynamic forecasting processes; however, these very interesting hydrodynamic approaches require an extremely long sampling time and demand significant computing costs in large-scale riverine flows. In this Special Issue, environmental, hydraulics, river, and hydrodynamics scientists are invited to submit their contributions to advance turbulence measurements and simulations in river flow research, aiming at identifying novel approaches to optimize, in terms of both time and space costs, the prediction of the main turbulence structures and flow dynamics traits affecting both real water bodies and laboratory flumes, based on experimental analyses, Computational Fluid Dynamics (CFD), Machine Learning methodologies, novel devices for the measurement of water flow velocity profiles and cross-sectional distributions, and new and stimulating advanced theoretical approaches in the wide scientific field of river flow turbulence analysis.

Dr. Giuseppe Francesco Cesare Lama
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • river flow
  • field campaign
  • ecohydrodynamics
  • turbulence
  • CFD
  • flume laboratory scale
  • water science
  • numerical simulations
  • river hydraulics
  • groundwater modeling

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

13 pages, 3845 KiB  
Article
Three-Dimensional Numerical Simulation of Flow Structure in Annular Flume Based on CFD Study of Water
by Jun Yan, Litao Zhang, Linjuan Xu, Sainan Chen, Guanghong Peng and Meng Wang
Water 2023, 15(4), 651; https://doi.org/10.3390/w15040651 - 7 Feb 2023
Viewed by 1344
Abstract
The annular flume is an ideal hydrodynamic test device for studying river sediment, and it has been widely used in recent years to study the movement patterns of sediment and other particulate matter. Annular flumes have made outstanding contributions to research in fields [...] Read more.
The annular flume is an ideal hydrodynamic test device for studying river sediment, and it has been widely used in recent years to study the movement patterns of sediment and other particulate matter. Annular flumes have made outstanding contributions to research in fields related to sediment transport and the diffusion and migration of pollutants. The existence of circumfluence structures in annular flumes leads to complex and variable flow structures. To obtain a more stable and controllable water flow structure, a sophisticated three-dimensional mathematical model based on the Fluent software was established to study the development law of water flow structure in the flume by changing the size of the annular flume speed ratio. The results show the following: (1) The overall trend of the simulation results basically matched with the measured results; the average relative error was 3.54% and the Nash efficiency coefficient was 0.9934, close to 1. The model calculation data were highly credible. (2) The axial flow velocity of the water tank gradually showed a “U”-shape distribution with the increase in the speed ratio. (3) When the speed ratio was R ≤ 0.17 (where the speed ratio R refers to the ratio of annular groove to shear ring speed), there was only one vortex in the tank; when the speed ratio was R > 0.17, there were multiple vortices in the tank, and the flow pattern was more complicated. (4) When the rotational speed ratio R = 0.28, the secondary flow intensity of the annular flume reached the lowest point, which was only 39.28% of the secondary flow intensity of the conventional annular flume. (5) It was determined that the annular flume water flow structure was most stable and controllable when the rotational speed ratio R = 0.24. The results of the study can provide a further theoretical basis for research on sediment dynamics and its related fields conducted by applying an annular flume. Full article
(This article belongs to the Special Issue Advanced Turbulence Measurements and Simulations in River Flow Research: From Experimental Flume- and Field- Scale Experiments to Computational Fluid Dynamics (CFD))
►▼ Show Figures

Figure 1

18 pages, 3900 KiB  
Article
Contrast Analysis of Flow-Discharge Measurement Methods in a Wide–Shallow River during Ice Periods
by Jinzhi Lu, Xinlei Guo, Jiajia Pan, Hui Fu, Yihong Wu and Zeyu Mao
Water 2022, 14(24), 3996; https://doi.org/10.3390/w14243996 - 7 Dec 2022
Viewed by 1206
Abstract
The discharge of natural rivers is one of the important hydrological factors that are considered when responding to ice-flood disasters during ice periods. Traditionally, holes need to be dug along the cross-section on the ice cover to gauge velocity distributions along the flow [...] Read more.
The discharge of natural rivers is one of the important hydrological factors that are considered when responding to ice-flood disasters during ice periods. Traditionally, holes need to be dug along the cross-section on the ice cover to gauge velocity distributions along the flow depth at each hole, and to calculate the cross-sectional flow discharge by integrating velocity profiles over the entire area. This method is time consuming, costly, and inefficient. The discharge measurement can be improved using the sectional flow-depth distribution and stream-tube methods. However, the selection of both the depth-averaged–velocity-estimation method and the typical survey-point position in the cross-section affects the estimation accuracy. This study first compared the estimation methods of the depth-averaged velocity, such as the one-, two-, three-, and six-point methods, and their estimation accuracy. Furthermore, the variations in relative-unit discharge distributions in common channels with cross-sectional topographies were analyzed, and the effects of the cross-section characteristic coefficient and typical survey-point position on the flow-discharge estimation accuracy were compared. The results show that the average errors of the depth-averaged velocity estimated by the one-point method at 0.5H, new three-point method, and six-point method were 1.96%, 1.22%, and 0.45%, respectively. The new three-point method is recommended if measurement workload and accuracy are key considerations. The cross-section characteristic coefficient is considered to be 0.5 and 0.25 for the natural river and artificial channel, respectively, and the maximum-flow-depth position in the mainstream area of the cross-section is selected as the typical survey-point position. Thus, the flow-discharge estimation accuracy can be improved. In conclusion, this study provides an improved stream-tube method for the measurement of flow discharge and velocity distribution in ice periods, which can be used as a reference during practical applications. Full article
(This article belongs to the Special Issue Advanced Turbulence Measurements and Simulations in River Flow Research: From Experimental Flume- and Field- Scale Experiments to Computational Fluid Dynamics (CFD))
►▼ Show Figures

Figure 1

15 pages, 4310 KiB  
Article
Study of a Control Algorithm with the Disturbance of Massive Discharge on an Open Channel
by Jian Shen, Bo Kang, Yuezan Tao, Fei Lin and Xuegong Song
Water 2022, 14(20), 3252; https://doi.org/10.3390/w14203252 - 15 Oct 2022
Cited by 3 | Viewed by 1070
Abstract
The diversion of large flows of water in open channels, which exceed safe water levels, into water storage systems is the focus of this paper. We focused upon the middle route of the South-to-North Water Transfer Project and the ancient canal gate 4 [...] Read more.
The diversion of large flows of water in open channels, which exceed safe water levels, into water storage systems is the focus of this paper. We focused upon the middle route of the South-to-North Water Transfer Project and the ancient canal gate 4 drainage pool. We estimated the water storage quantity and the amount of compensation this offered. We used the improved PID algorithm to the study 20 disturbance flow water pipe heads. The results show that the storage compensation algorithm can suppress the fluctuation of water level to a certain extent, but, for the disturbance caused by large flows, the maximum fluctuation of water level in front of Shahei sluice gate that the storage compensation control algorithm is capable of is more than 0.3 m, which is much larger than the water level constraint of the middle line channel pool, where the rate of the drop in water level should not exceed 0.15 m per hour. However, in the case of large flow disturbance, the variation of water level in front of all the control gates in the study area is not more than 0.1 m, which meets the severe water level constraint of the middle line project, and the water level control effect is good, which protects the operation safety of the canal pool. Full article
(This article belongs to the Special Issue Advanced Turbulence Measurements and Simulations in River Flow Research: From Experimental Flume- and Field- Scale Experiments to Computational Fluid Dynamics (CFD))
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop