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Related Concept Videos

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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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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Open channel flow, where a fluid flows with a free surface exposed to the atmosphere, is primarily governed by gravitational and surface effects, distinguishing it from closed conduit or pipe flow. In open channels such as rivers, canals, and artificial channels, energy analysis provides valuable insights into flow behavior and the relationship between depth, velocity, and slope.Specific Energy and Flow DepthIn open channel flow, the specific energy, E, combines the gravitational potential...
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Water flow in open channels is often measured using hydraulic structures such as weirs, which allow precise calculation of discharge. In a rectangular channel, flow rates are measured using three types of weirs: rectangular sharp-crested, triangular sharp-crested, and broad-crested. The weir head is set at a fixed height above the channel bottom, simplifying calculations and enabling the relationship between depth and flow rate to be analyzed.For the rectangular sharp-crested weir, the flow...
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Fluid flows are categorized by dimensionality and behavior, with one-dimensional flow being the simplest form, where properties like velocity and pressure change only along a single axis. Water moving through straight pipes exemplifies this flow type, as variations in other directions are minimal. One-dimensional analysis helps simplify understanding such flows, focusing solely on changes along the pipe's length.
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Updated: May 28, 2025

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
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Variability of flowing stream network length across the US.

Jeff P Prancevic1,2, Hansjörg Seybold2, James W Kirchner1,2,3

  • 1Department of Earth & Planetary Science, University of California, Berkeley, Berkeley, CA, USA.

Science (New York, N.Y.)
|February 13, 2025
PubMed
Summary

Stream networks expand and contract with landscape wetness. Across the US, median stream networks are five times longer during high-flow periods than low-flow periods, revealing significant hydrological variability.

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Area of Science:

  • Hydrology
  • Geomorphology
  • Environmental Science

Background:

  • Stream network dynamics are crucial for understanding hydrological processes.
  • Previous studies on stream network variability were limited to small drainage basins.
  • Landscape wetness significantly influences the aggregate length of flowing streams.

Purpose of the Study:

  • To estimate stream network length variability across a large geographic area.
  • To quantify the relationship between landscape wetness and stream network extent.
  • To identify regional differences in stream network dynamics.

Main Methods:

  • Utilized streamflow data from 14,765 gauged basins in the contiguous United States.
  • Employed topography-based methods to estimate network elasticity (sensitivity to wetness).
  • Integrated streamflow distributions with network elasticity to model stream network length.

Main Results:

  • The median US stream network was found to be five times longer during annual high-flow conditions compared to annual low-flow conditions.
  • Significant regional variations in stream network dynamics were observed across the US.
  • Hydroclimatology and network elasticity were identified as key drivers of regional differences.

Conclusions:

  • Stream networks exhibit substantial length variability in response to changing hydrological conditions.
  • Regional hydroclimatic factors and landscape characteristics modulate stream network dynamics.
  • Findings provide a national-scale perspective on stream network responsiveness to climate variability.