Literature DB >> 25666474

Optimizing landfill site selection by using land classification maps.

M Eskandari1, M Homaee, S Mahmoodi, E Pazira, M Th Van Genuchten.   

Abstract

Municipal solid waste disposal is a major environmental concern throughout the world. Proper landfill siting involves many environmental, economic, technical, and sociocultural challenges. In this study, a new quantitative method for landfill siting that reduces the number of evaluation criteria, simplifies siting procedures, and enhances the utility of available land evaluation maps was proposed. The method is demonstrated by selecting a suitable landfill site near the city of Marvdasht in Iran. The approach involves two separate stages. First, necessary criteria for preliminary landfill siting using four constraints and eight factors were obtained from a land classification map initially prepared for irrigation purposes. Thereafter, the criteria were standardized using a rating approach and then weighted to obtain a suitability map for landfill siting, with ratings in a 0-1 domain and divided into five suitability classes. Results were almost identical to those obtained with a more traditional environmental landfill siting approach. Because of far fewer evaluation criteria, the proposed weighting method was much easier to implement while producing a more convincing database for landfill siting. The classification map also considered land productivity. In the second stage, the six best alternative sites were evaluated for final landfill siting using four additional criteria. Sensitivity analyses were furthermore conducted to assess the stability of the obtained ranking. Results indicate that the method provides a precise siting procedure that should convince all pertinent stakeholders.

Mesh:

Year:  2015        PMID: 25666474     DOI: 10.1007/s11356-015-4182-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  28 in total

1.  Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: a case study using ordered weighted average.

Authors:  Pece V Gorsevski; Katerina R Donevska; Cvetko D Mitrovski; Joseph P Frizado
Journal:  Waste Manag       Date:  2011-10-24       Impact factor: 7.145

2.  Fuzzy multicriteria disposal method and site selection for municipal solid waste.

Authors:  Mehmet Ekmekçioğlu; Tolga Kaya; Cengiz Kahraman
Journal:  Waste Manag       Date:  2010-03-19       Impact factor: 7.145

3.  Combining AHP with GIS for landfill site selection: a case study in the Lake Beyşehir catchment area (Konya, Turkey).

Authors:  Sehnaz Sener; Erhan Sener; Bilgehan Nas; Remzi Karagüzel
Journal:  Waste Manag       Date:  2010-07-01       Impact factor: 7.145

4.  Landfill site selection using spatial information technologies and AHP: a case study in Beijing, China.

Authors:  Guiqin Wang; Li Qin; Guoxue Li; Lijun Chen
Journal:  J Environ Manage       Date:  2009-04-18       Impact factor: 6.789

5.  An Analytic Network Process approach for siting a municipal solid waste plant in the Metropolitan Area of Valencia (Spain).

Authors:  Pablo Aragonés-Beltrán; Juan Pascual Pastor-Ferrando; Fernando García-García; Amadeo Pascual-Agulló
Journal:  J Environ Manage       Date:  2010-01-18       Impact factor: 6.789

6.  Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent-Uluborlu (Isparta) Basin, Turkey.

Authors:  Sehnaz Sener; Erhan Sener; Remzi Karagüzel
Journal:  Environ Monit Assess       Date:  2010-03-07       Impact factor: 2.513

7.  Multi-criteria GIS-based siting of an incineration plant for municipal solid waste.

Authors:  Gilberto Tavares; Zdena Zsigraiová; Viriato Semiao
Journal:  Waste Manag       Date:  2011-05-19       Impact factor: 7.145

8.  Phytoremediation of landfill leachate and compost wastewater by irrigation of Populus and Salix: Biomass and growth response.

Authors:  Maja Zupancic Justin; Nastja Pajk; Vesna Zupanc; Marija Zupancic
Journal:  Waste Manag       Date:  2010-03-07       Impact factor: 7.145

9.  Analysis of transgenic Indian mustard plants for phytoremediation of metal-contaminated mine tailings.

Authors:  Lindsay E Bennett; Jason L Burkhead; Kerry L Hale; Norman Terry; Marinus Pilon; Elizabeth A H Pilon-Smits
Journal:  J Environ Qual       Date:  2003 Mar-Apr       Impact factor: 2.751

10.  Transport and reaction processes affecting the attenuation of landfill gas in cover soils.

Authors:  S Molins; K U Mayer; C Scheutz; P Kjeldsen
Journal:  J Environ Qual       Date:  2008-02-11       Impact factor: 2.751

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  5 in total

1.  Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models.

Authors:  Ghazaleh Danesh; Seyed Masoud Monavari; Ghasem Ali Omrani; Abdolreza Karbasi; Forough Farsad
Journal:  Environ Monit Assess       Date:  2019-01-31       Impact factor: 2.513

2.  Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy.

Authors:  Golayeh Yousefi; Mehdi Homaee; Ali Akbar Norouzi
Journal:  Environ Monit Assess       Date:  2018-08-13       Impact factor: 2.513

3.  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

4.  Site suitability evaluation of an old operating landfill using AHP and GIS techniques and integrated hydrogeological and geophysical surveys.

Authors:  Masoud Saatsaz; Iman Monsef; Mostafa Rahmani; Abdolreza Ghods
Journal:  Environ Monit Assess       Date:  2018-02-16       Impact factor: 2.513

5.  Prevention of landfill pollution by multicriteria spatial decision support systems (MC-SDSS): development, implementation, and case study.

Authors:  Afshin Khoshand; Ali Hasani Bafrani; Mohammad Zahedipour; Seyed Ahmad Mirbagheri; Majid Ehtehsami
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-06       Impact factor: 4.223

  5 in total

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