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

Multiple Pipe Systems01:21

Multiple Pipe Systems

849
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
849
Design Example: Designing a Residential Plumbing System01:25

Design Example: Designing a Residential Plumbing System

794
The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.
794
Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

241
Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
241
Typical Model Studies01:30

Typical Model Studies

449
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.
449
Control Volume and System Representations01:16

Control Volume and System Representations

1.3K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.3K
Gradually Varying Flow01:29

Gradually Varying Flow

135
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...
135

You might also read

Related Articles

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

Sort by
Same author

Deep learning for predicting the spatiotemporal dynamics of chlorine in water distribution pipes.

Water research·2026
Same author

Integrated optimal operation of power and water systems under uncertainty: An adjustable robust optimization approach.

Water research·2026
Same author

Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineering.

Water research·2025
Same author

Conjunctive optimal operation of water and power networks.

Heliyon·2024
Same author

Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory.

Risk analysis : an official publication of the Society for Risk Analysis·2024
Same author

Pressure management in water distribution systems through PRVs optimal placement and settings.

Water research·2022

Related Experiment Video

Updated: Sep 23, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Making waves: Applying systems biology principles in water distribution systems engineering.

Gopinathan R Abhijith1, Avi Ostfeld1

  • 1Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.

Water Research
|May 14, 2022
PubMed
Summary

This study introduces a novel 'water'bolic network model to overcome limitations in current water distribution system (WDS) water quality modeling. This approach better captures the stochasticity and complex chemistry of WDS.

Keywords:
Flux balance analysisMetabolic network modelingMicroscale-based modelSystems biologyWater distributionWater quality

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
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

12.3K

Related Experiment Videos

Last Updated: Sep 23, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
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

12.3K

Area of Science:

  • Environmental Engineering
  • Systems Biology
  • Water Resource Management

Background:

  • Conventional macroscale water quality models for water distribution systems (WDS) rely on continuum mechanics.
  • These models often overlook stochastic reaction mechanisms and struggle to represent intermediate or by-product formation.
  • Existing models are limited in describing the intricate water chemistry-stoichiometric interactions within WDS.

Purpose of the Study:

  • To address the limitations of current WDS water quality models.
  • To propose a new modeling paradigm that accounts for system stochasticity and complex chemical interactions.
  • To introduce the concept of 'water'bolic network modeling inspired by systems biology.

Main Methods:

  • Review and critique of existing macroscale WDS water quality modeling approaches.
  • Exploration of principles from metabolic network modeling in systems biology.
  • Conceptualization of an innovative 'water'bolic network modeling framework.

Main Results:

  • Identified key limitations in conventional WDS water quality models, including the neglect of stochasticity and inability to model chemical intermediates.
  • Highlighted the inadequacy of current models in representing water chemistry-stoichiometric interactions.
  • Proposed a new 'water'bolic network modeling approach as a potential solution.

Conclusions:

  • A paradigm shift is needed to accurately model WDS water quality.
  • The proposed 'water'bolic network modeling approach offers a promising new direction for WDS research.
  • This innovative approach has the potential to significantly enhance our understanding of water quality dynamics in distribution systems.