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Related Concept Videos

Levels of Use of a GIS01:29

Levels of Use of a GIS

251
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
251
Rapidly Varying Flow01:24

Rapidly Varying Flow

328
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...
328
Gradually Varying Flow01:29

Gradually Varying Flow

318
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
318
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

357
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...
357
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

445
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...
445
Design Example: Flow of Oil Through Circular Pipes01:25

Design Example: Flow of Oil Through Circular Pipes

344
Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired volumetric...
344

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Related Experiment Videos

Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation.

Yalong Yang, Tim Dwyer, Sarah Goodwin

    IEEE Transactions on Visualization and Computer Graphics
    |November 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Visualizing dense many-to-many flows between locations is difficult. New MapTrix and OD Maps visualizations performed similarly well, outperforming bundled node-link maps in user studies.

    Related Experiment Videos

    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Geographic Information Systems

    Background:

    • Visualizing flows between multiple geographic locations presents significant challenges.
    • Dense many-to-many flows are particularly difficult to represent clearly.
    • Existing methods like bundled node-link maps and OD matrices have limitations.

    Purpose of the Study:

    • To evaluate different visual representations for dense many-to-many geographic flows.
    • To compare the performance of bundled node-link flow maps, OD Maps, and a new visualization called MapTrix.
    • To assess scalability of these visualizations with larger datasets.

    Main Methods:

    • Conducted two quantitative user studies.
    • Compared bundled node-link flow maps, OD Maps, and MapTrix.
    • Evaluated participant performance on tasks involving dense flow visualization.

    Main Results:

    • MapTrix and OD Maps demonstrated similar performance.
    • Bundled node-link flow map representations did not scale well.
    • Performance remained similar between OD Maps and MapTrix on larger datasets.

    Conclusions:

    • MapTrix offers a viable alternative to OD Maps for visualizing dense geographic flows.
    • Both MapTrix and OD Maps effectively address clutter while retaining geographic context.
    • Bundled node-link maps are not suitable for large-scale flow visualization.