Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

678
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
678
Rapidly Varying Flow01:24

Rapidly Varying Flow

621
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
621
Accelerating Fluids01:17

Accelerating Fluids

2.4K
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
2.4K
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

866
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
866
Modeling and Similitude01:12

Modeling and Similitude

711
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
711
Velocity and Acceleration in Steady and Unsteady Flow01:11

Velocity and Acceleration in Steady and Unsteady Flow

473
In fluid mechanics, velocity and acceleration are key concepts for analyzing particle motion in both steady and unsteady flow. Consider a fluid particle moving along a pathline, where its velocity depends on its position and time. The particle's acceleration is obtained by differentiating the velocity with respect to time.
The acceleration can be generalized to any point in the flow, and expressed as components along three perpendicular directions, representing changes in velocity over...
473

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Local environmental change and fallow deer hunting at Amud Cave: Evidence from a combined plant wax and tooth enamel isotope study.

Journal of human evolution·2026
Same author

Correction: A comparative SWOT analysis of urban green infrastructure in the Global South.

Scientific reports·2026
Same author

A comparative SWOT analysis of urban green infrastructure in the Global South.

Scientific reports·2026
Same author

Oxygenation and Alkalinity Drive the Lacustrine Nitrogen Isotope Record Throughout the Past 3.2 Billion Years.

Geobiology·2025
Same author

Cryptic CAM photosynthesis in Joshua tree (Yucca brevifolia, Y. jaegeriana).

The New phytologist·2025
Same author

Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths.

Scientific reports·2025

Related Experiment Video

Updated: Mar 23, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

4.7K

Toward accelerating fluvial morphodynamic simulations through a speed accuracy trade-off assessment.

Mohamed M Fathi1, Virginia Smith2, Anjali M Fernandes3

  • 1Dept. of Civil Engineering, Florida Gulf Coast University, 10501 FGCU Blvd South, Fort Myers, FL , Fort Myers, 33965, USA. m.fathi.said0@gmail.com.

Scientific Reports
|March 22, 2026
PubMed
Summary

This study enhances fluvial morphodynamic modeling efficiency using morphological acceleration factor (morfac) and condensed hydrographs. These methods significantly reduce computational time for long-term river system simulations.

Keywords:
Condensed hydrographsEfficient modeling approachFluvial morphodynamicsHEC-RASMorfacMorphological acceleration factorNinnescah River

More Related Videos

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.6K
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.9K

Related Experiment Videos

Last Updated: Mar 23, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

4.7K
Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.6K
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.9K

Area of Science:

  • Earth Science
  • Geomorphology
  • Computational Hydrology

Background:

  • Physics-based models are vital for fluvial morphodynamics.
  • Long-term river system analysis is hindered by computational demands.
  • Existing models are often limited to shorter temporal scales.

Purpose of the Study:

  • To evaluate and combine morphological acceleration factor (morfac) and condensed hydrographs for efficient fluvial modeling.
  • To reduce computational burden in decadal to centennial-scale river system simulations.
  • To provide practical guidance for applying these techniques in operational frameworks.

Main Methods:

  • Applied morphological acceleration factor (morfac) to scale sediment transport rates.
  • Utilized condensed hydrograph inputs focusing on dominant runoff events.
  • Calibrated and integrated both techniques for fluvial environments.

Main Results:

  • Morfac values up to 20 enhanced model efficiency without performance loss; higher values degraded performance.
  • Condensed hydrographs further improved performance by focusing on key geomorphic events.
  • Combined techniques achieved over 98.8% reduction in computational runtime.

Conclusions:

  • Morfac and condensed hydrographs are effective for accelerating fluvial morphodynamic simulations.
  • The combined approach enables feasible long-term geomorphic change analysis.
  • This research advances the operational utility of numerical models for river systems.