Literature DB >> 17492360

Development of a landfill model to prioritize design and operating objectives.

K V H Ohman1, J P A Hettiaratchi, J Ruwanpura, J Balakrishnan, G Achari.   

Abstract

The application of scientifically based decision making tools to help address solid waste management issues dates back to the early 1960s. Researchers continue to use operations research tools to help optimize landfill design and operating parameters. This paper discusses the application of another type of decision making tool, the analytical hierarchy process (AHP), to address priority ranking for a number of landfill engineering design and operating objectives in developing and developed countries. In this application, the AHP is used to rank, and prioritize, economic, environmental, health and safety, legislative and public perception objectives for landfill design and operations specific to landfill distance from a community, and precipitation levels. Results from a global survey using the Delphi process are included, with a discussion on the survey's impact on the objective rankings relative to community proximity and precipitation. The Delphi process worked extremely well, and was an excellent tool to use in this application. The initial results from the objective rankings show promise in the development of an integrated model for landfill design and operation.

Mesh:

Year:  2007        PMID: 17492360     DOI: 10.1007/s10661-007-9715-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Application of analytic hierarchy process in a waste treatment technology assessment in Mexico.

Authors:  Paul Taboada-González; Quetzalli Aguilar-Virgen; Sara Ojeda-Benítez; Samantha Cruz-Sotelo
Journal:  Environ Monit Assess       Date:  2014-05-24       Impact factor: 2.513

2.  Landfill site selection for municipal solid wastes in mountainous areas with landslide susceptibility.

Authors:  Mahnaz Eskandari; Mehdi Homaee; Amin Falamaki
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-17       Impact factor: 4.223

  2 in total

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