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Related Concept Videos

Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

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...
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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...
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Turbulent Flow

Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent spots,...
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Boundary Layer Characteristics

When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
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Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the streamlines...
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Related Experiment Video

Updated: Jun 11, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

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Published on: February 13, 2018

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Qian Hu, Ping Wang, Shuang Li

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |June 10, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study analyzes the security of underwater wireless optical communication (UWOC) using non-orthogonal multiple access (NOMA). It provides insights into optimizing UWOC network security against various underwater channel impairments.

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    Last Updated: Jun 11, 2026

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    Area of Science:

    • Optical Communications
    • Wireless Networking
    • Oceanic Engineering

    Background:

    • Underwater wireless optical communication (UWOC) is crucial for high-speed, short-range underwater data transmission.
    • Non-orthogonal multiple access (NOMA) enhances spectral efficiency in communication systems.
    • Oceanic channels present complex fading characteristics due to turbulence, stratification, and environmental factors.

    Purpose of the Study:

    • To conduct a comprehensive secrecy performance analysis of a downlink NOMA-UWOC system.
    • To investigate the system's performance over a composite vertically stratified Weibull-generalized gamma (WGG) oceanic fading channel.
    • To evaluate the impact of various physical impairments on the system's security.

    Main Methods:

    • Analytical derivation of Probability Density Function (PDF) and Cumulative Distribution Function (CDF) for the WGG fading channel.
    • Development of analytical frameworks for secrecy outage probability, strictly positive secrecy capacity, and effective secrecy throughput.
    • Validation of analytical results using Monte Carlo simulations.

    Main Results:

    • Closed-form expressions for key secrecy metrics were derived, considering path loss, turbulence, pointing errors, and angle-of-arrival fluctuations.
    • The analysis incorporated residual interference from imperfect successive interference cancellation (SIC).
    • Investigated the influence of factors like thermohaline gradients, air bubbles, and transceiver misalignment on secrecy performance.

    Conclusions:

    • The study provides a robust framework for evaluating NOMA-UWOC system security in realistic oceanic environments.
    • Results offer valuable insights for the practical deployment and optimization of secure underwater communication networks.
    • Understanding the impact of environmental factors and system imperfections is critical for enhancing UWOC security.