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

376
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.
376
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

63
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...
63
Modeling and Similitude01:12

Modeling and Similitude

284
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...
284
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Response Surface Methodology01:16

Response Surface Methodology

171
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
171
Sampling Plans01:23

Sampling Plans

205
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
205

You might also read

Related Articles

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

Sort by
Same author

Fate variations of Per- and polyfluoroalkyl substances in diverse aquatic environments: An overlooked influence of hydrodynamics.

Water research·2025
Same author

Multi-compartment levels and distributions of per- and polyfluoroalkyl substances surrounding fluorochemical manufacturing parks in China: A review of the current literature.

Journal of hazardous materials·2024
Same author

Release of perfluoroalkyl acids from sediments under the effects of the discharge ratio and flow flux at a Y-shaped confluence.

Water research·2024
Same author

The addition of iron-carbon enhances the removal of perfluoroalkyl acids (PFAAs) in constructed wetlands.

Environmental pollution (Barking, Essex : 1987)·2023
Same author

Insights into effects of discharge ratio on flow characteristics and pollutant transport in a Y-shaped open channel confluence with emergent rigid vegetation.

Journal of environmental management·2023
Same author

Perfluoroalkyl acids in representative edible aquatic species from the lower Yangtze River: Occurrence, distribution, sources, and health risk.

Journal of environmental management·2022
Same journal

Divergent futures for critical ecological areas: How climate pathways reshape the roles of ecosystem integrity, multifunctionality, and stability.

Journal of environmental management·2026
Same journal

Crop rotations with legumes, cover crops and adjusted N management have better environmental performance than maize-wheat double cropping, but lower productivity.

Journal of environmental management·2026
Same journal

Life cycle assessment of biopesticides and chemical pesticides for managing Xylella fastidiosa in olive trees.

Journal of environmental management·2026
Same journal

The degree of hydrolysis of meat and bone meals fertilizers drives carbon mineralisation and the availability of nitrogen and phosphorus in soil.

Journal of environmental management·2026
Same journal

Strategies for resilient climate in smart cities mediated by Nash equilibrium and autonomous decision-makers.

Journal of environmental management·2026
Same journal

Does urban expansion exert a greater impact on land use conflicts than cropland expansion? Empirical evidence from a rapidly urbanizing area in China's arid region.

Journal of environmental management·2026
See all related articles

Related Experiment Video

Updated: Jul 15, 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

13.0K

An integrated modelling framework for multiple pollution source identification in surface water.

Xiaodong Liu1, Xuneng Tong2, Lei Wu3

  • 1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China; Yangtze Institute for Conservation and Development, Hohai University, Jiangsu 210098, China.

Journal of Environmental Management
|October 1, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid model using artificial neural networks and particle swarm optimization for accurate pollution source identification in water bodies. The developed framework effectively pinpoints pollution sources and quantifies release intensity, enhancing water safety management.

Keywords:
BackpropagationGeneral regressionParticle swarm optimizationPollution source identificationRadial basis functionSurrogate modelling

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
In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K

Related Experiment Videos

Last Updated: Jul 15, 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

13.0K
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
In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K

Area of Science:

  • Environmental Science
  • Water Resource Management
  • Computational Modeling

Background:

  • Pollution source identification is crucial for effective water safety management.
  • Existing methods may lack the speed, accuracy, or reliability needed for complex water systems.
  • Integrated modelling frameworks offer a promising approach to address these challenges.

Purpose of the Study:

  • To develop and evaluate an integrated simulation-optimization modelling framework for rapid, accurate, and reliable pollution source identification.
  • To test the framework's efficacy under both steady (flume) and unsteady (Yangtze River estuary) flow conditions.
  • To compare the performance of different artificial neural network (ANN) algorithms within the framework.

Main Methods:

  • Developed process-based models (PBMs) to simulate hydrodynamics and water quality.
  • Created artificial neural network (ANN) surrogate models (BP, RBF, GRNN) using PBM-generated data.
  • Coupled PBM-ANNs with particle swarm optimization (PSO) to form a hybrid modelling framework.
  • Validated the framework using lab flume and real-life estuary data.

Main Results:

  • The hybrid PBM-ANNs-PSO models successfully identified pollution sources and quantified release intensity for point sources with continuous release.
  • Model performance was evaluated as "Excellent prediction" using multiple criteria (R², RMSE, MAE).
  • Backpropagation-ANNs coupled with PSO (BP-PSO) demonstrated superior performance, with relative errors generally below 5%.

Conclusions:

  • The integrated simulation-optimization framework provides a robust tool for pollution source identification and intensity quantification.
  • The BP-PSO model is a highly effective approach for pollution source identification in water systems.
  • Findings offer valuable insights for local government agencies in making informed pollution control decisions.