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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.2K
Optimal Foraging00:48

Optimal Foraging

14.1K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.1K
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

662
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
662
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

370
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
370
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

302
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
302
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

1.2K
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
1.2K

You might also read

Related Articles

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

Sort by
Same author

Shaping resilient flood control system design through net present value assessments.

PloS one·2025
Same author

Enhancing water security through integrated decision-making and selective withdrawal for sustainable reservoir management.

Scientific reports·2025
Same author

BiLSTM-Kalman framework for precipitation downscaling under multiple climate change scenarios.

Scientific reports·2025
Same author

More equitable initial allocation, more abatement cost saving in using a trading ratio system for riverine water quality management.

Environmental science and pollution research international·2025
Same author

Determining the molecular diffusion coefficient of naphthenic acid in water as a heavy oil pollutant by experimental method.

Water science and technology : a journal of the International Association on Water Pollution Research·2025
Same author

Near future flash flood prediction in an arid region under climate change.

Scientific reports·2024

Related Experiment Video

Updated: Mar 5, 2026

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

13.5K

Optimal waste load allocation using graph model for conflict resolution.

Leila Saberi1, Mohammad Hossein Niksokhan1

  • 1Faculty of Environment, University of Tehran, Tehran, Iran

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|March 24, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for river waste load allocation, combining decision support systems and optimization algorithms to minimize costs and pollution. The approach was successfully applied to the Sefidrud River.

Related Experiment Videos

Last Updated: Mar 5, 2026

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

13.5K

Area of Science:

  • Environmental Science
  • Water Resource Management
  • Computational Science

Background:

  • Effective waste load allocation is crucial for maintaining river water quality and minimizing environmental and economic impacts.
  • Existing methods often struggle to balance competing objectives like cost reduction and pollution control.
  • River systems present complex challenges due to dynamic water quality parameters and multiple stakeholder interests.

Purpose of the Study:

  • To propose a novel integrated methodology for optimizing waste load allocation in river systems.
  • To simultaneously minimize total treatment and penalty costs and biological oxygen demand (BOD) violations.
  • To provide a robust decision support framework for water quality management.

Main Methods:

  • Integration of the Streeter-Phelps (S-P) equation with the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm for water quality simulation.
  • Application of Multi-Criteria Decision Making (MCDM) techniques to select the optimal solution from a set of non-dominated alternatives.
  • Utilization of the Graph Model for Conflict Resolution II (GMCRII) Decision Support System (DSS) for analyzing stability and selecting the best strategy.

Main Results:

  • The MOPSO model successfully simulated river water quality and generated a trade-off curve between cost minimization and BOD standard adherence.
  • A set of non-dominated solutions representing optimal compromises between objectives was identified.
  • The MCDM and GMCRII DSS effectively selected the most suitable waste load allocation strategy, demonstrating the methodology's practical utility.

Conclusions:

  • The proposed integrated methodology offers an efficient and effective approach for waste load allocation in river systems.
  • The combination of MOPSO, MCDM, and GMCRII provides a powerful tool for balancing economic and environmental objectives in water resource management.
  • The case study on the Sefidrud River validates the applicability and robustness of the developed methodology for real-world environmental challenges.