University of Tehran

Optimal allocation of landfill disposal site: a fuzzy multi-criteria approach

Due to rapid population growth and economic development, there has been a significant increase in municipal solid waste (MSW) generation in India. The estimated solid waste generation in India ranges from 100g per capita per day in small towns, 300-400g per caipta per day in medium cities and about 500g per capita per day in large cities. As per the available trend the amount of waste generated per capita is estimated to increase at a rate of 1%–1.33% annually (Singhal and Pandey, 2001).

Thus municipal solid waste is one of the largest mass of solid materials generated by humanity. This projection clearly shows the need of immediate handling of municipal solid waste (MSW) with appropriate strategic planning and management. The principal means for managing the various materials contained in MSW are by proper collection from the sources, recycling and recovery of energy in waste-to-energy plants, anaerobic or aerobic bioconversion to compost material, and land-filling (Jain and Pant, 1994; Huang et al., 2001).

However, municipal solid waste in India is generally disposed in landfill sites. These sites are generally low lying areas on the outskirts of the town/city and respective Municipal Corporation is generally responsible for collection of wastes from the sources and then its disposal to these landfills. The disposal of these wastes creates a problem primarily in highly populated areas. The more concentrated the population, the greater the problem becomes. Therefore to protect the environment, there is a need to identify and select a best landfill site for disposal of solid wastes because improper landfill sites are constant threat for water and air pollution (Hazardous, 2002; Hanrahan et al., 2006).

Customer comments

  1. By Suman Singh on

    This is a very useful paper which clearly demonstrates the usefulness of soft computing especially fuzzy multi criteria in the field of solid waste management