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

Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Microbial Bioremediation of Hydrocarbons01:26

Microbial Bioremediation of Hydrocarbons

Bioremediation is an environmentally sustainable process that employs living organisms—primarily microorganisms—to degrade or neutralize pollutants from contaminated environments. In oil spills and hydrocarbon pollution, bioremediation involves the use of hydrocarbon-degrading bacteria to transform toxic compounds into less harmful substances. This approach leverages natural microbial metabolic processes and is considered both cost-effective and ecologically favorable compared to physical or...
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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.
Bioremediation00:46

Bioremediation

Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

You might also read

Related Articles

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

Sort by
Same journal

High vulnerability of jellyfish ephyras (Aurelia aurita) and copepods (Calanoids) to understudied organic UV filters: A multi-trophic ecotoxicological assessment.

Marine pollution bulletin·2026
Same journal

Drivers, latent signatures and parsimonious screening of organophosphate triester mixtures in silver pomfret from Vietnamese coastal waters (2021-2023).

Marine pollution bulletin·2026
Same journal

Otolith microchemistry as a temporal biomarker for metal contamination in Gobind Sagar Reservoir in the Sutlej River, India.

Marine pollution bulletin·2026
Same journal

Microplastic characterization, transport and ecological risk across functional zones of China's largest tropical island: A river-to-sea perspective.

Marine pollution bulletin·2026
Same journal

Identifying nitrate sources and transformations in the Yellow River: Insights from dual isotopes and long-term variations in nitrate.

Marine pollution bulletin·2026
Same journal

First occurrence and toxic effects of Prymnesium parvum on northeastern Mediterranean harpacticoid copepod species.

Marine pollution bulletin·2026

Related Experiment Video

Updated: Jul 2, 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

Spatiotemporal optimization model for minimizing oil spill dispersion and resource allocation.

Rosalie Fe Z De Lemos1, Emerson R Rico1

  • 1Institute of Mathematical Sciences, College of Arts and Sciences, University of the Philippines Los Baños, Los Baños, 4031, Laguna, Philippines.

Marine Pollution Bulletin
|June 30, 2026
PubMed
Summary

Optimizing oil spill containment requires strategic boom placement. This study introduces a spatiotemporal framework, showing that deploying 18-24 booms daily efficiently contains spills, with diminishing returns for more resources.

Keywords:
Decision-support systemsHydrodynamic simulationInteger programmingMaritime disaster responseOil spill containmentResource allocationSpatiotemporal optimization

More Related Videos

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
08:38

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

Related Experiment Videos

Last Updated: Jul 2, 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

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
08:38

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

Area of Science:

  • Environmental Science
  • Operations Research
  • Maritime Engineering

Background:

  • Oil spills pose significant environmental and economic risks globally.
  • Current containment strategies often lack optimized operational models for resource-limited scenarios.

Purpose of the Study:

  • To develop and evaluate a spatiotemporal optimization framework for strategic containment boom deployment.
  • To assess the impact of daily boom deployment capacity on spill containment efficiency.

Main Methods:

  • Integrated hydrodynamic simulation with integer programming for boom placement.
  • Discretized spill area into a grid, incorporating ocean current data.
  • Conducted sensitivity analysis on the number of booms deployable per day.

Main Results:

  • A deployment of 18 to 24 booms per day achieved containment within two operational steps in a case study.
  • Higher deployment capacities showed minimal additional gains, indicating a resource saturation point.
  • Early and concentrated boom deployment significantly accelerates containment and reduces spill impact.

Conclusions:

  • The spatiotemporal optimization framework effectively guides strategic containment boom placement under resource constraints.
  • Resource availability critically influences operational efficiency, with diminishing returns beyond a certain deployment capacity.
  • The framework supports improved operational readiness, policy decisions on equipment stockpiling, and cost-effective environmental protection strategies for maritime oil spills.