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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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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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Rapidly Varying Flow01:24

Rapidly Varying Flow

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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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Weir: Problem Solving01:26

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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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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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Watershed Planning within a Quantitative Scenario Analysis Framework
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Quantifying Hydraulic Geometry and Whitewater Coverage for Steep Proglacial Streams to Support Process-Based Stream

A L Dufficy1,2, B C Eaton2,3, R D Moore2

  • 1Northwest Hydraulic Consultants Ltd. Seattle Washington USA.

Hydrological Processes
|November 29, 2024
PubMed
Summary
This summary is machine-generated.

At-a-station hydraulic geometry relationships for steep proglacial streams were derived using tracer injections and drone photogrammetry. Whitewater coverage significantly impacts stream albedo and temperature, with glacier retreat potentially increasing downstream warming.

Keywords:
breakthrough curvedronehydraulic geometryphotogrammetryproglacial streamsalt injectionstructure from motionwhitewater

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Area of Science:

  • * Hydrology and Fluvial Geomorphology
  • * Environmental Remote Sensing
  • * Water Resource Management

Background:

  • * At-a-station hydraulic geometry (AASHG) describes riverine dependencies on discharge, crucial for stream temperature modeling.
  • * Steep proglacial streams present challenges for AASHG derivation due to complex morphology and flow dynamics.
  • * Whitewater coverage influences stream surface albedo, a key factor in thermal energy exchange.

Purpose of the Study:

  • * To derive AASHG relationships for a steep proglacial channel using novel methods.
  • * To quantify whitewater coverage and its relationship with discharge.
  • * To support process-based stream temperature modeling by integrating hydraulic and thermal data.

Main Methods:

  • * Combined tracer injections with drone-based photogrammetry for data acquisition.
  • * Modeled velocity-discharge and width-discharge relationships using power-law functions.
  • * Quantified whitewater coverage as a fraction of stream surface area across varying discharges.

Main Results:

  • * Power-law functions reasonably characterized velocity-discharge and width-discharge relationships, with sub-reach variations.
  • * Whitewater coverage exceeded 50% and showed a significant positive linear relationship with discharge within the sampled flow range.
  • * Stream albedo is likely higher than typically assumed in models; glacier retreat may increase downstream warming.

Conclusions:

  • * AASHG relationships and whitewater coverage in steep proglacial streams can be effectively quantified using integrated remote sensing and tracer techniques.
  • * Significant whitewater coverage necessitates higher albedo values in thermal models.
  • * Glacier retreat-induced discharge reduction will likely lower stream albedo and increase downstream warming, compounding other flow-dependent thermal effects.