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

Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a decrease in the...
Energy Considerations in Open Channel Flow01:27

Energy Considerations in Open Channel Flow

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...
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...
Gradually Varying Flow01:29

Gradually Varying Flow

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...
Major Losses in Pipes01:28

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
Rapidly Varying Flow01:24

Rapidly Varying Flow

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...

You might also read

Related Articles

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

Sort by
Same author

Life cycle environmental and economic impacts of nutrient management in small community lagoon wastewater systems.

The Science of the total environment·2026
Same author

Importance of Spatial Resolution in Global Groundwater Modeling.

Ground water·2020
Same author

FREEWAT, a Free and Open Source, GIS-Integrated, Hydrological Modeling Platform.

Ground water·2018
Same author

River Seepage Conductance in Large-Scale Regional Studies.

Ground water·2016
Same author

Seawater intrusion in karstic, coastal aquifers: Current challenges and future scenarios in the Taranto area (southern Italy).

The Science of the total environment·2016
Same author

Practical Use of Computationally Frugal Model Analysis Methods.

Ground water·2015

Related Experiment Video

Updated: May 8, 2026

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

Factors influencing the stream-aquifer flow exchange coefficient.

Hubert J Morel-Seytoux1, Steffen Mehl, Kyle Morgado

  • 1Department of Civil Engineering, California State University, Chico, Chico, CA 95929-0930.

Ground Water
|September 10, 2013
PubMed
Summary

This study introduces a new analytical coefficient, the SAFE dimensionless conductance, to accurately model river-aquifer flow exchange. It identifies key factors influencing this conductance and validates its efficiency over traditional methods.

More Related Videos

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity
08:09

Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity

Published on: August 19, 2018

Related Experiment Videos

Last Updated: May 8, 2026

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

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity
08:09

Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity

Published on: August 19, 2018

Area of Science:

  • Hydrology
  • Hydrogeology
  • Environmental Engineering

Background:

  • Accurate quantification of river-aquifer interactions is vital for water resource management and conjunctive use optimization.
  • Existing groundwater models often use simplified coefficients and aquifer head locations for stream-aquifer flow exchange.
  • Varied definitions of the exchange coefficient and aquifer head points lead to inconsistencies in modeling.

Purpose of the Study:

  • To propose a novel, analytically derived coefficient for stream-aquifer flow exchange.
  • To define a specific location for aquifer head measurement in relation to the river.
  • To investigate factors influencing this new stream-aquifer flow exchange (SAFE) dimensionless conductance.

Main Methods:

  • Analytical derivation of a new stream-aquifer flow exchange coefficient.
  • Investigation of factors like wetted perimeter, cross-section penetration, and shape.
  • Verification of the analytical coefficient using finite difference simulations.

Main Results:

  • A new dimensionless conductance, SAFE (stream-aquifer flow exchange), was derived.
  • Wetted perimeter, cross-section penetration, and shape significantly influence SAFE conductance, in that order.
  • Finite difference simulations accurately match the analytical coefficient only with fine grid systems.

Conclusions:

  • The proposed analytical coefficient and SAFE dimensionless conductance offer an accurate and efficient alternative for modeling river-aquifer exchange.
  • This method improves upon traditional, often ad hoc, coefficient estimations in numerical models.
  • Understanding the influence of geometric factors enhances the reliability of hydrological models.