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Related Experiment Videos

An optimisation model for regional integrated solid waste management II. Model application and sensitivity analyses.

M Abou Najm1, M El-Fadel, G Ayoub

  • 1Department of Civil Engineering, American University of Beirut, Lebanon.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|May 22, 2002
PubMed
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This study introduces an optimization model for municipal solid waste (MSW) management, balancing costs and environmental impacts. It helps select the best combination of recycling, treatment, and disposal technologies for sustainable waste handling.

Area of Science:

  • Environmental Science
  • Operations Research
  • Waste Management Engineering

Background:

  • Growing environmental concerns and resource recovery needs are reshaping municipal solid waste (MSW) management.
  • Optimization techniques are increasingly used to design cost-effective waste management systems amidst uncertainties.

Purpose of the Study:

  • To develop and apply a decision support system model for MSW management.
  • To integrate socio-economic and environmental factors into waste management planning.
  • To evaluate various MSW management alternatives for optimal technology selection.

Main Methods:

  • Linear programming formulation within a dynamic optimization framework.
  • Modeling of waste generation rates, composition, collection, treatment, and disposal.

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  • Assessment of environmental impacts associated with different MSW management techniques.
  • Main Results:

    • A model capable of evaluating diverse MSW management strategies.
    • Identification of optimal technology combinations for economic and environmental sustainability.
    • Analysis of the sensitivity of waste management policies.

    Conclusions:

    • The developed model serves as a valuable tool for informed MSW management decisions.
    • It facilitates the selection of economically viable and environmentally sound waste handling, treatment, and disposal strategies.
    • The study provides insights into optimizing waste management policies for sustainability.