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Uniform Depth Channel Flow: Problem Solving01:18

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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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Uniform Depth Channel Flow01:27

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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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Rapidly Varying Flow01:24

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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...
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Precipitation Gravimetry01:03

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Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
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Gradually Varying Flow01:29

Gradually Varying Flow

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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...
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Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

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Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
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Related Experiment Video

Updated: Aug 25, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
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Detecting Streamflow in Dryland Rivers Using CubeSats.

Zhaocheng Wang1, Enrique R Vivoni1,2

  • 1School of Sustainable Engineering and the Built Environment Arizona State University Tempe AZ USA.

Geophysical Research Letters
|October 17, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel CubeSat imagery method to detect streamflow in non-perennial rivers. The approach accurately identifies intermittent and ephemeral river reaches, enhancing hydrological research in drylands.

Keywords:
arid and semiarid regionscommercial satellitesnear infrared bandnon‐perennial riversstreamflow regime

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Area of Science:

  • Hydrology
  • Remote Sensing
  • Environmental Science

Background:

  • Non-perennial rivers are vital ecosystems, but their flow regimes are challenging to monitor.
  • Understanding streamflow dynamics is crucial for water resource management and ecological studies in dryland regions.

Purpose of the Study:

  • To develop and validate a new method using CubeSat imagery for detecting streamflow presence in non-perennial rivers.
  • To analyze the spatiotemporal distribution of streamflow in the Hassayampa River, Arizona.

Main Methods:

  • Utilized CubeSat imagery to differentiate surface reflectance between flowing water and adjacent land within river reaches.
  • Calibrated the imagery-based approach with in-situ streamflow records from the Hassayampa River (2019-2021).
  • Applied the validated method to map streamflow presence at 90m intervals and visualized data using Hovmöller diagrams.

Main Results:

  • Achieved strong agreement (R² = 0.82) between the CubeSat-derived annual fractions of flowing days and streamgage data.
  • Classified 12% of Hassayampa River reaches as intermittent and the remainder as ephemeral.
  • Generated high-resolution spatiotemporal visualizations of streamflow presence, enabling detailed analysis of daily and annual flow fractions.

Conclusions:

  • CubeSat imagery offers a powerful, cost-effective tool for monitoring streamflow in non-perennial rivers.
  • The developed method provides unprecedented detail for studying hydrological and biogeochemical processes in dryland river systems.
  • This approach facilitates improved understanding and management of water resources in regions with intermittent and ephemeral streams.