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

Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

2.1K
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
2.1K
Plane Potential Flows01:23

Plane Potential Flows

1.1K
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
1.1K
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

2.2K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
2.2K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

780
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
780
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

665
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
665
General External Flow Characteristics01:26

General External Flow Characteristics

619
The study of external flow is essential for creating structures and objects that interact efficiently and safely with moving fluids, such as air or water. When a body is immersed in a flowing fluid, it experiences two primary forces: drag, which opposes motion along the flow direction, and lift, which acts perpendicular to the flow. The shape, size, and orientation of the object influence these forces.Streamlined and Blunt Bodies in External FlowObjects in fluid flow are classified as...
619

You might also read

Related Articles

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

Sort by
Same author

Interleukin-11 Is Elevated in Patients with Atrial Fibrillation, Correlates with Serum Fibrosis Markers, and Represents a Therapeutic Target for Atrial Fibrosis.

Cerebrovascular diseases (Basel, Switzerland)·2023
Same author

Mateverse, the Future Materials Science Computation Platform Based on Metaverse.

The journal of physical chemistry letters·2022
Same author

Inorganic carbon utilization: A target of silver nanoparticle toxicity on a submerged macrophyte.

Environmental pollution (Barking, Essex : 1987)·2022
Same author

Chromone-based monoamine oxidase B inhibitor with potential iron-chelating activity for the treatment of Alzheimer's disease.

Journal of enzyme inhibition and medicinal chemistry·2022
Same author

Key mutations in the spike protein of SARS-CoV-2 affecting neutralization resistance and viral internalization.

Journal of medical virology·2022
Same author

[Establishment and verification of LIPS score combined with APACHE II score and oxygenation index to predict the occurrence model of ARDS].

Zhonghua wei zhong bing ji jiu yi xue·2022
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

6.4K

Origin-Destination Flow Data Smoothing and Mapping.

Diansheng Guo, Xi Zhu

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel flow mapping technique to reveal hidden patterns in large geographic mobility datasets. The method enhances understanding of complex flow trends by improving density estimation and generalization for clearer visualization.

    More Related Videos

    Trajectory Data Analyses for Pedestrian Space-time Activity Study
    16:14

    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

    14.3K
    Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
    09:37

    Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole

    Published on: August 26, 2019

    6.2K

    Related Experiment Videos

    Last Updated: Apr 4, 2026

    Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
    09:39

    Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

    Published on: November 18, 2019

    6.4K
    Trajectory Data Analyses for Pedestrian Space-time Activity Study
    16:14

    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

    14.3K
    Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
    09:37

    Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole

    Published on: August 26, 2019

    6.2K

    Area of Science:

    • Geographic Information Science
    • Data Visualization
    • Computational Social Science

    Background:

    • Analyzing massive geographic mobility data presents challenges in identifying complex flow patterns.
    • Existing methods struggle with data variance, population normalization, and discerning high-level trends.
    • Effective visualization of origin-destination flows is crucial for understanding mobility.

    Purpose of the Study:

    • To present a new approach for flow mapping that extracts inherent patterns from large-scale geographic mobility data.
    • To develop methods for origin-destination flow density estimation and flow map generalization.
    • To enable effective visual representation and intuitive perception of complex flow trends.

    Main Methods:

    • Kernel-based density estimation to measure flow volume between origins and destinations, removing spatial unit size effects.
    • A novel flow sampling method to filter redundant information in smoothed flows and extract major patterns.
    • Generalization techniques to facilitate intuitive flow mapping without altering or bundling flow paths.

    Main Results:

    • The approach effectively removes spurious data variance and normalizes flows using control populations.
    • High-level flow patterns, previously indiscernible, are detected and visualized.
    • The method successfully visualizes flows from both point-based (e.g., taxi trips) and area-based (e.g., migration) data.

    Conclusions:

    • The new flow mapping approach enhances the analysis and visualization of massive geographic mobility data.
    • It offers a robust solution for understanding complex flow trends across various data types and scales.
    • The method proves effective in detecting and comparing flow patterns, even in sparse datasets.