Abstract
The increase of the urban population in the world and the associated economic expansion have accelerated municipal solid waste (MSW) production. About 40% of the world's waste is disposed of inappropriately in open dumps and/or only partially controlled landfills. Many types of waste are mixed and disposed without treatment in illegal dumpsites or non-sanitary landfills, especially in developing countries such as Brazil. This research aims to identify areas for the implementation of landfills in the tropical climate of the Metropolitan Region of Salvador (MRS), Brazil, which generates approximately 4900 tons of MSW per day. In a first step, geographic information system (GIS) is used to apply Boolean logic to 15 restrictive criteria based on Brazilian legislation. In a second step, locations found to be legally appropriate are ranked with the analytic hierarchy process (AHP) in a multi-criteria decision approach using 11 non-restrictive criteria based on technical knowledge and literature. Results show that 6% of the areas are classified as highly suitable, 16% as suitable, 9% not suitable, and 69% with legal restrictions. The result of this study serves as a guide for suitably siting landfills in the MRS and similar regions in the world, reducing costs and biased assessments potentially implied by empirical methods.
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References
ABNT-Associação Brasileira de Normas Técnicas-NBR 8419 (1992) Apresentação de projetos de aterros sanitários de resíduos sólidos urbanos—Procedimento. Associação Brasileira de Normas Técnicas, Rio de Janeiro. https://www.abntcatalogo.com.br/
ABNT-Associação Brasileira de Normas Técnicas-NBR 13896 (1997) Aterros de resíduos não perigosos-critérios para projeto, implantação e operação. Associação Brasileira de Normas Técnicas, Rio de Janeiro. https://www.abntcatalogo.com.br/
ABRELPE. Associação Brasileira de Empresas de Limpeza Pública e Resíduos Especiais (2023) Panorama dos resíduos sólidos no Brasil. https://abrelpe.org.br/download-panorama-2022/. Accessed 5 March 2023
Araiza J, Nájera H, Gutiérrez R, Rojas M (2018) Emplacement of solid waste management infrastructure for the Frailesca region, Chiapas, México, using GIS tools. Egypt J Remote Sens Space Sci 21(3):391–399. https://doi.org/10.1016/j.ejrs.2018.01.004
BAHIA (2012) Estudo de Regionalização da Gestão Integrada de Resíduos Sólidos para o Estado da Bahia. Secretaria de Desenvolvimento Urbano do Estado da Bahia—SEDUR, vol 1, p 457
BAHIA (2014) Política Estadual de Resíduos Sólidos. Publicado no DOE - BA em 8 Jan 2014. https://www.legisweb.com.br/legislacao/?id=264190. Accessed 8 Nov 2022
Balew A, Alemu M, Leul Y, Feye T (2020) Suitable landfill site selection using GIS-based multi-criteria decision analysis and evaluation in Robe town Ethiopia. GeoJournal 87:895–920. https://doi.org/10.1007/s10708-020-10284-3
Bouvier RA, Halstead JM, Conway KS, Manalo AB (2000) The effect of landfills on rural residential property values: Some empirical evidence. J Reg Anal Policy 30(2):23–38. https://doi.org/10.22004/ag.econ.132172
Brasil (2010) Lei n° 12305. Institui a Política Nacional de Resíduos Sólidos; altera a Lei no 9.605. Diário Oficial. República Federativa do Brasil, Poder Executivo, Brasília, DF. https://www.planalto.gov.br/ccivil_03/_ato2007-2010/2010/lei/l12305.htm. Accessed 4 Jan 2023
Demesouka OE, Anagnostopoulos KP, Siskos E (2019) Spatial multicriteria decision support for robust land-use suitability: the case of landfill site selection in Northeastern Greece. Eur J Oper Res 272:574–586. https://doi.org/10.1016/j.ejor.2018.07.005
Demesouka OE, Vavatsikos AP, Anagnostopoulos KP (2013) Suitability analysis for siting MSW landfills and its multicriteria spatial decision support system: method, implementation and case study. Waste Manage 33(5):1190–1206
Deniz M (2022) Landfill site selection via geographical information system and fuzzy logic in Uşak province (Turkey). Environ Earth Sci 81:406. https://doi.org/10.1007/s12665-022-10509-3
Dyasia PB, Naicker VV (2023) Application of the analytic hierarchy process in selecting long-term storage option for spent nuclear fuel in South Africa. Ann Nucl Energy 187:109784. https://doi.org/10.1016/j.anucene.2023.109784
Ebistu TA, Minale AS (2013) Solid waste dumping site suitability analysis using geographic information system (GIS) and remote sensing for Bahir Dar Town, North Western Ethiopia. Afr J Environ Sci Technol 7(11):976–989. https://doi.org/10.5897/AJEST2013.1589
Ferronato N, Torretta V (2019) Waste mismanagement in developing countries: a review of global issues. Int J Environ Res Publ Health 16:1060. https://doi.org/10.3390/ijerph16061060
Franco DGB, Steiner MTA, Assef FM (2021) Optimization in waste landfilling partitioning in Paraná State, Brazil. J Clean Prod 283:1–17. https://doi.org/10.1016/j.jclepro.2020.125353
Gorsevski PV, Donevska KR, Mitrovski CD, Frizado JP (2012) Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average. Waste Manage 32:287–296. https://doi.org/10.1016/j.wasman.2011.09.023
Guiqin W, Li Q, Gouxue L, Lijun C (2009) Landfill site selection using spatial information technologies and AHP: a case study in Beijing. China J Environ Manage 90(8):2414–2421. https://doi.org/10.1016/j.jenvman.2008.12.008
Guoa X, Kapucu N (2020) Assessing social vulnerability to earthquake disaster using rough analytic hierarchy process method: a case study of Hanzhong City, China. Saf Sci 125:104625. https://doi.org/10.1016/j.ssci.2020.104625
Harerimana JM, Nyirazinyoye L, Thomson DR, Ntaganira J (2016) Social, economic and environmental risk factors for acute lower respiratory infections among children under five years of age in Rwanda. Archiv Public Health 74(1):19. https://doi.org/10.1186/s13690-016-0132-1
Hoornweg D, Bhada-Tata P (2012) What a waste: a global review of solid waste management. World Bank, Washington DC
IBGE (2022) Censo demográfico: população residente, por sexo e situação do domicílio. https://sidra.ibge.gov.br/. Accessed 01 November 2022
Kahraman C, Cebi S, Onar SC, Oztaysi B (2018) A novel trapezoidal intuitionistic fuzzy information axiom approach: an application to multicriteria landfill site selection. Eng Appl Artif Intell 67:157–172. https://doi.org/10.1016/j.engappai.2017.09.009
Kamdar I, Ali S, Bennui A, Techato K, Jutidamrongphan W (2019) Municipal solid waste landfill siting using an integrated GIS-AHP approach: a case study from Songkhla, Thailand. Resour Conserv Recycl 149:220–235. https://doi.org/10.1016/j.resconrec.2019.05.027
Kaza S, Yao L, Bhada-Tata P, Van Woerden F (2018) What a waste 2.0: a global snapshot of solid waste management to 2050. World Bank, Washington
Kharat MG, Kamble SJ, Raut RD, Kamble SS, Dhume SM (2016) Modeling landfill site selection using an integrated fuzzy MCDM approach. Model Earth Syst Environ 2:53. https://doi.org/10.1007/s40808-016-0106-x
Magnavita LP, Szatmari P, Cupertino JA, Destro N, Roberts D (2012) The regional geology and tectonics: phanerozoic rift systems and sedimentary basins—Recôncavo basin, pp 382–419. https://doi.org/10.1016/B978-0-444-56356-9.00014-6
Majid M, Mir BA (2021) Landfill site selection using GIS based multi criteria evaluation technique. A case study of Srinagar city, India. Environ Challengers 3:100031. https://doi.org/10.1016/j.envc.2021.100031
Mondelli G, Giacheti HL, Elis VR (2012) Geo-environmental site investigation for municipal solid waste disposal sites. In: Yu XYY (ed) Municipal and industrial waste disposal, vol 2. InTech, Croatia, pp 27–54
Mor S, Ravindra K (2023) Municipal solid waste landfills in lower- and middle-income countries: environmental impacts, challenges and sustainable management practices. Process Saf Environ Prot 74:510–530. https://doi.org/10.1016/j.psep.2023.04.014
Morais L, Nascimento V, Simões S, Ometto J (2021) Regional distance routes estimation for municipal solid waste disposal, case study São Paulo state, Brazil. Energies 14:3964. https://doi.org/10.3390/en14133964
Morita AKM, Ibelli-Bianco C, Anache JAA, Coutinho JV, Pelinson NS, Nobrega J, Rosalem LMP, Leite CMC, Niviadonski LM, Manastella C, Wendland E (2021) Pollution threat to water and soil quality by dumpsites and non-sanitary landfills in Brazil: a review. Waste Manage 131:163–176. https://doi.org/10.1016/j.wasman.2021.06.004
Mosissaa ST, Zhongweib S, Tsegayeb WH, Teklemariam EA (2023) Prioritization of green infrastructure planning principles using analytic hierarchy process: The case of Addis Ababa. Urb Fores Urb Green 85:127965. https://doi.org/10.1016/j.ufug.2023.127965
Moura T, Nery J, Prado E, Vieira C, Rocha HM, Katzschner L (2022) Urban climatic map of Salvador, Brazil, using a land use pattern methodology. Cybergeo Euro J Geogr. https://doi.org/10.4000/cybergeo.38634
Munyai O, Nunu WN (2020) Health effects associated with proximity to waste collection points in Beitbridge Municipality, Zimbabwe. Waste Manage 105:501–510. https://doi.org/10.1016/j.wasman.2020.02.041
Mussa A, Suryabhagavan KV (2021) Solid waste dumping site selection using GIS-based multi-criteria spatial modeling: a case study in Logia town, Afar region, Ethiopia. Geol Ecol Lands 5(3):186–198. https://doi.org/10.1080/24749508.2019.1703311
Nascimento VF, Sobral AC, Andrade PR, Ometto JPHB, Yesiller N (2017) Modeling environmental susceptibility of municipal solid waste disposal sites: a case study in São Paulo State, Brazil. J Geogr Inf Syst 9:8–33. https://doi.org/10.4236/jgis.2017.91002
Pavani ID, Cicerelli ER, Almeida T, Moura LZ, Contreras F (2019) Allocation of sanitary landfill in consortium: strategy for the Brazilian municipalities in the State of Amazonas. Environ Monit Assess 191:39. https://doi.org/10.1007/s10661-018-7146-9
Raper JF, Maguire DJ (1992) Design models and functionality in GIS. Comput Geosci 18(4):387–394. https://doi.org/10.1016/0098-3004(92)90067-2
Roslee R, Tongkul F, Simon N, Norhisham MN (2017) Flood potential analysis (FPAN) using geo-spatial data in Penampang area, Sabah. Malay J Geosci 1(1):1–6. https://doi.org/10.26480/mjg.01.2017.01.06
Saaty RW (1987) The analytic hierarchy process—what it is and how it is used. Math Model 9(3–5):161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26. https://doi.org/10.1016/0377-2217(90)90057-I
Sampaio EES, Barbosa JSF, Correa-Gomes LC (2017) New insight on the paleoproterozoic evolution of the São Francisco Craton: reinterpretation of the geology, the suture zones and the thicknesses of the crustal blocks using geophysical and geological data. J South Am Earth Sci 76:290–305
Santos HG, Jacomine PKT, Anjos LH, Oliveira VA, Lumbreras JF, Coelho MR, Almeida JA, Araujo Filho JC, Oliveira JB, Cunha TJF (2018) Sistema Brasileiro de Classificação de Solos. 5. ed. rev. e ampl.: EMBRAPA—Empresa Brasileira de Pesquisa Agropecuária, Brasília, DF. https://www.embrapa.br/busca-de-publicacoes/-/publicacao/1094003/sistema-brasileiro-de-classificacao-de-solos. Accessed 11 Jan 2023
Senkiio CS, Ramos APM, Simões SJC, Mendes TSG (2022) Multicriteria analysis and logistical grouping method for selecting areas to consortium landfills in Paraiba do Sul river basin, Brazil. Environ Earth Sci 81:239. https://doi.org/10.1007/s12665-022-10354-4
Simões YS, Silva EHBC, Araújo HA (2018) Rainfall zoning of Bahia State, Brazil: an update proposal. Rev Ambient Água 13(1):e2171. https://doi.org/10.4136/ambi-agua.2171
Uyan M (2014) MSW landfill site selection by combining AHP with GIS for Konya, Turkey. Environ Earth Sci 71:1629–1639. https://doi.org/10.1007/s12665-013-2567-9
Wang Y, Li J, An D, Xi B, Tang J, Wang Y, Yang Y (2018) Site selection for municipal solid waste landfill considering environmental health risks. Resour Conserv Recycl 138:40–46. https://doi.org/10.1016/j.resconrec.2018.07.008
Zarin R, Azmat M, Naqvi SR, Saddique Q, Ullah S (2021) Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis. Environ Sci Pollut Res 28:19726–19741. https://doi.org/10.1007/s11356-020-11975-7
Zohoori M, Ghani A (2017) Municipal solid waste management challenges and problems for cities in low-income and developing countries. Int J Sci Eng Appl 6:039–048. https://doi.org/10.7753/IJSEA0602.1002
Acknowledgements
The authors thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—CAPES (CAPES) for Luiz Rogério Bastos Leal’s post-doctoral scholarship (Process No. 88887.571131/2020-00) and Carlos Gleidson Campos da Purificação’s Master scholarship.
Funding
Funding was provided by a scientific cooperation between Federal University of Bahia, Brazil (UFBA) and Bahia Transferência e Tratamento de Resíduos LTDA (BATTRE) (Process No. 031442/2015-23).
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Conceptualization: [CGCP], [LRBL], [HK]; methodology: [CGCP], [LRBL], [HK]; formal analysis: [CGCP], [HK], [LRBL], [ISC], [RSAN]; investigation: [CGCP], [LRBL], [ISC], [RSAN]; visualization: [CGCP], [HK], [ISC], [RSAN]; writing—original draft: [CGCP], [ISC], [RSAN]; writing review and editing: [CGCP], [HK], [LRBL], [KH]; validation: [CGCP], [HK], [LRBL], [KH]; project administration and funding acquisition: [LRBL].
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da Purificação, C.G.C., Leal, L.R.B., Klammler, H. et al. GIS‐based multi-criteria decision analysis for landfill allocation in a tropical metropolitan region. Environ Earth Sci 83, 104 (2024). https://doi.org/10.1007/s12665-023-11407-y
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DOI: https://doi.org/10.1007/s12665-023-11407-y