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

Typical Model Studies01:30

Typical Model Studies

687
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.
687
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

382
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
382
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

913
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.
913
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

1.4K
Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
1.4K
Rapidly Varying Flow01:24

Rapidly Varying Flow

680
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...
680
Modeling and Similitude01:12

Modeling and Similitude

728
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
728

You might also read

Related Articles

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

Sort by
Same author

ORIGIN-1 trial: study protocol for an organoid-guided N-of-1 trial evaluating CFTR modulator response in cystic fibrosis with rare non-F508del mutations.

Trials·2026
Same author

Total herbivore exclusion alters plant species dominance and trait expression in endangered grassy woodlands.

Ecology·2026
Same author

Modelling land use influence on polymer-specific microplastics abundance and transportation from terrestrial to aquatic environments.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Catchment characteristics and land-use influence on microplastics distribution in freshwater sediments.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Polydopamine-Mediated Grafting of Cationic Polymer Brushes for Adsorption of Fluorinated Compounds.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Targeting degraded hotspots in riparian corridors for rehabilitation based on hydrological, ecological, natural and anthropogenic indicators.

Journal of environmental management·2026

Related Experiment Video

Updated: Apr 7, 2026

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
08:49

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

11.5K

Incorporating process variability into stormwater quality modelling.

Buddhi Wijesiri1, Prasanna Egodawatta1, James McGree1

  • 1Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane, 4001 Queensland, Australia.

The Science of the Total Environment
|July 17, 2015
PubMed
Summary
This summary is machine-generated.

Process variability in stormwater pollutant build-up and wash-off creates uncertainty in water quality models. This study introduces theoretical scenarios to better quantify this variability, improving stormwater pollution mitigation decisions.

Keywords:
Particle sizePollutant build-upPollutant wash-offProcess variabilityStormwater pollutant processesStormwater quality

More Related Videos

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

12.2K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.8K

Related Experiment Videos

Last Updated: Apr 7, 2026

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
08:49

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

11.5K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

12.2K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.8K

Area of Science:

  • Environmental Science
  • Hydrology
  • Water Quality Modeling

Background:

  • Stormwater quality models face uncertainty due to variability in pollutant build-up and wash-off processes.
  • Inaccurate characterization of this variability limits effective stormwater pollution mitigation strategies.

Purpose of the Study:

  • To develop theoretical scenarios for explaining and quantifying variability in pollutant build-up and wash-off.
  • To improve the incorporation of process variability into stormwater quality models.

Main Methods:

  • Developed three theoretical scenarios based on particle size fractions (<150 μm and >150 μm) influencing build-up and wash-off.
  • Combined build-up and wash-off processes on a continuous timeline to simulate field conditions.
  • Formulated mathematical representations of the theoretical scenarios.

Main Results:

  • Variations in particle size fractions are key drivers of process variability.
  • The theoretical scenarios effectively explain process variability under diverse field conditions.
  • The scenarios allow inference of subsequent pollutant process variability from observed events.

Conclusions:

  • The developed theoretical scenarios provide a framework for incorporating build-up and wash-off variability into models.
  • This research contributes to the quantitative assessment of uncertainty in stormwater quality modeling.
  • Improved uncertainty assessment will enhance decision-making for stormwater pollution control.