Jove
Visualize
Contact Us

Related Concept Videos

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Biological Treatment of Effluent and Waste Water01:30

Biological Treatment of Effluent and Waste Water

Biological wastewater treatment relies on the metabolic activity of microorganisms to remove pollutants from sewage. In modern treatment systems, this process is organized into sequential stages that progressively reduce solid material, dissolved organic matter, and microbial contamination. Each stage plays a distinct role in improving water quality and preparing the effluent for safe discharge or reuse.Primary and Secondary TreatmentPrimary treatment is a physical process that removes large...

You might also read

Related Articles

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

Sort by
Same author

Heavy metal(loid)s contamination and health risk assessment of soil-rice system in rural and peri-urban areas of lower brahmaputra valley, northeast India.

Chemosphere·2020
Same author

Groundwater quality in Ghaziabad district, Uttar Pradesh, India: Multivariate and health risk assessment.

Chemosphere·2017
Same author

Barriers and Prospects of Carbon Sequestration in India.

Journal of environmental science & engineering·2015
Same author

Strategic exploration of battery waste management: A game-theoretic approach.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA·2015
Same author

Reply to Comment on "Assessment of heavy metal contamination in Hindon River sediments: a chemometric and geochemical approach" [Chemosphere 87 (2012) 945-953].

Chemosphere·2014
Same author

Validation of enhanced stabilization of municipal solid waste under controlled leachate recirculation using FTIR and XRD.

Journal of environmental science & engineering·2014
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 Experiment Video

Updated: Jul 17, 2026

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
10:31

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

Published on: December 6, 2015

Multi-objective reverse logistics model for integrated computer waste management.

Poonam Khanijo Ahluwalia1, Arvind K Nema

  • 1Department of Civil Engineering, I.I.T. Delhi, India.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|January 27, 2007
PubMed
Summary

This study presents a decision-support tool for optimizing computer waste management systems. The model minimizes environmental risk and cost, offering a sustainable solution for growing e-waste challenges.

Related Experiment Videos

Last Updated: Jul 17, 2026

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
10:31

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

Published on: December 6, 2015

Area of Science:

  • Environmental Science
  • Operations Research
  • Computer Science

Background:

  • Rapid growth of computer waste presents significant environmental challenges.
  • Current waste management practices are often rudimentary, relying on basic reuse, recovery, and disposal methods.
  • Integrated planning and design are crucial for effective computer waste management.

Purpose of the Study:

  • To develop an integrated decision-support tool for computer waste management.
  • To optimize the configuration and waste allocation for computer waste management facilities.
  • To minimize both environmental risk and operational costs in computer waste management.

Main Methods:

  • Integer linear programming (ILP) model formulation.
  • Monte Carlo simulation to address uncertainty in waste quantities.
  • Development of a decision-support tool for facility selection and waste allocation.

Main Results:

  • The proposed model effectively selects optimal configurations for waste management facilities.
  • Significant reduction in environmental risk is achievable with a minor increase in cost.
  • Trade-offs between cost and environmental risk were successfully analyzed.

Conclusions:

  • The decision-support tool provides a powerful approach to managing escalating computer waste.
  • Integrated waste management strategies are essential for mitigating environmental impact.
  • The model can guide policymakers and waste management professionals in developing sustainable e-waste solutions.