Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

459
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.
459
Plane Potential Flows01:23

Plane Potential Flows

633
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
633
Gradually Varying Flow01:29

Gradually Varying Flow

209
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...
209
Rapidly Varying Flow01:24

Rapidly Varying Flow

203
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...
203
Underflow Gates01:30

Underflow Gates

165
Underflow gates are vital for controlling water flow in irrigation canals. The three main types of underflow gates — vertical, radial, and drum gates — serve different purposes while ensuring effective flow management. Vertical gates move up and down, generating a free-flowing water jet; radial gates pivot to regulate the flow; and drum gates rotate for precise adjustments. The flow through these gates is influenced by downstream conditions, resulting in free or drowned outflow.Free and...
165
Typical Model Studies01:30

Typical Model Studies

512
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.
512

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rain Gardens and Rain Gauges: Students Get Hands on With Data While Evaluating Green Infrastructure at Their School.

Science teacher (Normal, Ill.)·2024
Same author

Broad line emission from iron K- and L-shell transitions in the active galaxy 1H 0707-495.

Nature·2009
Same author

Limits on spin-independent interactions of weakly interacting massive particles with nucleons from the two-tower run of the cryogenic dark matter search.

Physical review letters·2006
Same author

First results from the Cryogenic Dark Matter Search in the Soudan Underground Laboratory.

Physical review letters·2004
Same author

Application of fiberoptic sensors for the study of hepatic dysoxia in swine hemorrhagic shock.

Critical care medicine·2001
Same author

Exclusion limits on the WIMP-nucleon cross section from the cryogenic dark matter search.

Physical review letters·2000
Same journal

Remotely Sensed Surface Water Storage Shows Distinct Patterns From SWAT-Simulated Data.

Water resources research·2026
Same journal

Evaluating the Impacts of Agriculture Conservation on Water Quantity and Quality Through Trend, Predictability, and Causality Analysis.

Water resources research·2026
Same journal

Dilute Species Transport During Generalized Newtonian Fluid Flow in Porous Medium Systems.

Water resources research·2025
Same journal

Deep Learning Prediction and Interpretation of Riverine Nitrate Export Across the Mississippi River Basin.

Water resources research·2025
Same journal

Combining a Multi-Lake Model Ensemble and a Multi-Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan.

Water resources research·2024
Same journal

Distribution and Characteristics of Blackwater Rivers and Streams of the Contiguous United States.

Water resources research·2024
See all related articles

Related Experiment Video

Updated: Nov 12, 2025

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

726

Spreadsheet Tools for Quantifying Seepage Flux Across the GW-SW Interface.

R G Ford1, B K Lien1, S D Acree2

  • 1Office of Research and Development, USEPA, Cincinnati, OH, USA.

Water Resources Research
|March 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces tools to measure groundwater-surface water seepage flux using sediment temperature. These tools help assess water body contamination and guide restoration efforts.

More Related Videos

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.5K
Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
09:22

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

Published on: October 31, 2011

13.3K

Related Experiment Videos

Last Updated: Nov 12, 2025

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

726
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

12.5K
Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
09:22

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

Published on: October 31, 2011

13.3K

Area of Science:

  • Environmental Science
  • Hydrogeology
  • Geophysics

Background:

  • Groundwater-surface water (GW-SW) interface seepage flux is critical for water body health, especially near contaminated sites.
  • Assessing seepage flux magnitude and spatial distribution aids in identifying impairments and restoration strategies.

Purpose of the Study:

  • To introduce practical tools for calculating seepage flux across the GW-SW interface.
  • To enable indirect mapping of seepage flux patterns using sediment temperature data.

Main Methods:

  • Developed two spreadsheet-based calculation tools implementing four 1D analytical solutions.
  • Utilized measurements of vertical temperature profiles (steady-state) and transient diel temperature signals at two sediment depths.

Main Results:

  • Demonstrated tool performance using data from a pond receiving contaminated groundwater.
  • Compared transient and steady-state model performance, highlighting limitations of transient models under specific conditions.

Conclusions:

  • The developed tools provide a practical method for characterizing seepage flux.
  • Encourages practitioners to adopt this temperature-based method for better insights into GW-SW interactions and model selection.