Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning

Jhon Antony Zabaleta Santisteban; Rolando Salas López; Nilton B. Rojas-Briceño; Darwin Gómez Fernández; Angel J. Medina Medina; Katerin M. Tuesta Trauco; Abner S. Rivera Fernandez; José Lévano Crisóstomo; Manuel Oliva-Cruz; Jhonsy O. Silva-López

doi:10.28991/CEJ-2024-010-06-01

Authors

Jhon Antony Zabaleta Santisteban
jhon.zabaleta.epg@untrm.edu.pe
Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001,, Peru https://orcid.org/0000-0002-1300-8090
Rolando Salas López Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001,, Peru
Nilton B. Rojas-Briceño Grupo de Investigación en Ciencia de la Información Geoespacial, Escuela Profesional de Ingeniería Ambiental, Facultad de Ingeniería y Arquitectura, Universidad Nacional de Moquegua, Pacocha 18610,, Peru
Darwin Gómez Fernández Centro Expérimental Yanayacu, Dirección de Supervisión y Monitoreo en las Estaciones Experimentales Agrarias, Instituto Nacional de Innovación Agraria (INIA), Carretera Jaén San Ignacio KM 23.7, Jaén 06801,, Peru
Angel J. Medina Medina Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001,, Peru
Katerin M. Tuesta Trauco Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001,, Peru
Abner S. Rivera Fernandez Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001,, Peru
José Lévano Crisóstomo Universidad Nacional Agraria de la Selva. Carretera Central km. 1.21, Tingo María,, Peru
Manuel Oliva-Cruz Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001,, Peru
Jhonsy O. Silva-López írea de Cartografía y Teledetección, Laboratorio de Agrostología, Instituto de Investigación en Ganadería y Biotecnología, Facultad de Ingeniería Zootecnista, Agronegocios y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, Chachapoyas, 01001,, Peru

Vol. 10 No. 6 (2024): June

Research Articles

Downloads

PDF

Abstract
How to Cite
Metrics
References
License

Careful landfill selection with minimal environmental impact is vital for urban planners. This study aims to identify suitable sites for controlled landfills using Fuzzy-AHP integrated with Remote Sensing and GIS, considering a 20-year projection of population and solid waste generation. Initially, twelve sub-criteria were identified, grouped into environmental, socio-economic, and physical categories, and then weighted using paired comparison matrices involving nine experts. The sub-criteria were rasterized and classified into four suitability levels. The weighted overlay of sub-criteria maps generated a territorial suitability model. Within the Alto Utcubamba Commonwealth (Amazonas, Peru), 0.069%, 41.70%, 66.934%, 0.20%, and 12.4% of the territory are suitable, moderately suitable, less suitable, unsuitable, and restricted, respectively, for landfill establishment. Subsequently, 16 highly suitable sites were selected based on the required area (S4 polygons â‰¥ 0.505 ha) in line with the projected solid waste generation over 20 years. Of the 16 selected areas, only 15 met the shape index. The model showed high accuracy (AUC = 0.784) during validation. Furthermore, this study provides a comprehensive framework for making decisions about waste management in developing countries, enhancing understanding of key factors in selecting landfill sites. It also offers a deeper insight into global and local factors that determine the suitability of landfill sites.

Doi: 10.28991/CEJ-2024-010-06-01

Full Text: PDF

Zabaleta Santisteban, J. A., Salas López, R., Rojas-Briceño, N. B., Gómez Fernández, D., Medina Medina, A. J., Tuesta Trauco, K. M., … Silva-López, J. O. (2024). Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning. Civil Engineering Journal, 10(6), 1698–1719. https://doi.org/10.28991/CEJ-2024-010-06-01

Download Citation

[1] Chandel, A. S., Weto, A. E., & Bekele, D. (2024). Geospatial technology for selecting suitable sites for solid waste disposal: a case study of Shone town, central Ethiopia. Urban, Planning and Transport Research, 12(1), 2302531. doi:10.1080/21650020.2024.2302531.
[2] Dolui, S., & Sarkar, S. (2021). Identifying potential landfill sites using multicriteria evaluation modeling and GIS techniques for Kharagpur city of West Bengal, India. Environmental Challenges, 5, 100243. doi:10.1016/j.envc.2021.100243.
[3] Awadh, M. Al, & Mallick, J. (2024). A decision-making framework for landfill site selection in Saudi Arabia using explainable artificial intelligence and multi-criteria analysis. Environmental Technology & Innovation, 33, 103464. doi:10.1016/j.eti.2023.103464.
[4] Gautam, S., Brema, J., & Dhasarathan, R. (2020). Spatio-temporal estimates of solid waste disposal in an urban city of India: A remote sensing and GIS approach. Environmental Technology & Innovation, 18, 100650. doi:10.1016/j.eti.2020.100650.
[5] Kebede, H. A., & Ayenew, W. A. (2023). Solid waste disposal site selection analysis using geospatial technology in Dessie city Ethiopia. Heliyon, 9(8), 18865. doi:10.1016/j.heliyon.2023.e18865.
[6] Putra, H., Arrazzaq, A. B., Hidayatullah, R. M., Lamuse, M., Ananda, F. R., & Prayoga, A. (2023). Improving CBR Parameter of Expansive Soil Using the Carbonate Precipitation Method with Tofu Waste as a Biocatalyst. Civil Engineering Journal, 9, 163-172. doi:10.28991/CEJ-SP2023-09-013.
[7] Arabeyyat, O. S., Shatnawi, N., Shbool, M. A., & Shraah, A. Al. (2024). Landfill site selection for sustainable solid waste management using multiple-criteria decision-making. Case study: Al-Balqa governorate in Jordan. MethodsX, 12, 102591. doi:10.1016/j.mex.2024.102591.
[8] Al-Anbari, M. A., Thameer, M. Y., & Al-Ansari, N. (2018). Landfill site selection by weighted overlay technique: Case study of Al-Kufa, Iraq. Sustainability (Switzerland), 10(4), 1–11. doi:10.3390/su10040999.
[9] Šžener, E., & Šžener, Šž. (2020). Landfill site selection using integrated fuzzy logic and analytic hierarchy process (AHP) in lake basins. Arabian Journal of Geosciences, 13(21), 13. doi:10.1007/s12517-020-06087-y.
[10] Elkhrachy, I., Alhamami, A., & Alyami, S. H. (2023). Landfill Site Selection Using Multi-Criteria Decision Analysis, Remote Sensing Data, and Geographic Information System Tools in Najran City, Saudi Arabia. Remote Sensing, 15(15), 3754. doi:10.3390/rs15153754.
[11] Randazzo, L., Cusumano, A., Oliveri, G., Di Stefano, P., Renda, P., Perricone, M., & Zarcone, G. (2018). Landfill Site Selection for Municipal Solid Waste by Using AHP Method in GIS Environment: Waste Management Decision-Support in Sicily (Italy). Detritus, 2(1), 78. https://doi.org/10.31025/2611-4135/2018.13656.
[12] Ä°skurt, Ç., Aliyev, E., Gengec, E., Kobya, M., & Khataee, A. (2022). Electrochemical oxidation of pretreated landfill leachate nanofiltration concentrate in terms of pollutants removal and formation of by-products. Chemosphere, 307. doi:10.1016/j.chemosphere.2022.135954.
[13] Roy, D., Prakash Samajdar, D., & Biswas, A. (2022). Design of hybrid solar cell with GaAs1âˆ’xBix (x = 0.01) nanowire core and conformally coated P3HT/ITO shell. Solar Energy, 238, 1–8. doi:10.1016/j.solener.2022.04.019.
[14] Pan, J., Deng, Y., Yang, Y., & Zhang, Y. (2023). Location-allocation modelling for rational health planning: Applying a two-step optimization approach to evaluate the spatial accessibility improvement of newly added tertiary hospitals in a metropolitan city of China. Social Science and Medicine, 338, 116296. doi:10.1016/j.socscimed.2023.116296.
[15] Balist, J., Nahavandchi, M., & Bidar, G. S. (2021). Landfill Site Selection Using Fuzzy Logic & AHP & WLC (Case study: Razan city - Iran). Journal of Civil Engineering Frontiers, 2(01), 01–07. doi:10.38094/jocef20129.
[16] Abdelouhed, F., Ahmed, A., Abdellah, A., Yassine, B., & Mohammed, I. (2022). GIS and remote sensing coupled with analytical hierarchy process (AHP) for the selection of appropriate sites for landfills: a case study in the province of Ouarzazate, Morocco. Journal of Engineering and Applied Science, 69(1), 1–23. doi:10.1186/s44147-021-00063-3.
[17] Benabbou, A. (2024). Land use suitability analysis using an approach combining GIS, regionalization, and PROMETHEE II. Annals of GIS, 30(1), 121–136. doi:10.1080/19475683.2024.2304183.
[18] Oveisi, S., & Afzali, A. (2020). Selecting Municipal Solid Waste Landfill Site in Kashan City Using OWA and TOPSIS Fuzzy Methods. Desert Ecosystem Engineering Journal. doi:10.22052/deej.2020.9.27.51.
[19] Alikhani, M., Rahimi, E., & Khairy, H. (2024). Landfill site selection of Sari city using analytic network process model. Kharazmi Journal of Earth Sciences, 9(2), 250-276.
[20] Islam, M., Kashem, S., & Morshed, S. (2020). Integrating spatial information technologies and fuzzy analytic hierarchy process (F-AHP) approach for landfill siting. City and Environment Interactions, 7, 100045. doi:10.1016/j.cacint.2020.100045.
[21] Ali, S. A., & Ahmad, A. (2020). Suitability analysis for municipal landfill site selection using fuzzy analytic hierarchy process and geospatial technique. Environmental Earth Sciences, 79(10). doi:10.1007/s12665-020-08970-z.
[22] Mallick, J. (2021). Municipal solid waste landfill site selection based on fuzzy-AHP and geoinformation techniques in ASIR region Saudi Arabia. Sustainability (Switzerland), 13(3), 1-33. doi:10.3390/su13031538.
[23] Mousavi, S. M., Darvishi, G., Mobarghaee Dinan, N., & Naghibi, S. A. (2022). Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran. Land, 11(10), 1779. doi:10.3390/land11101779.
[24] Paul, S., & Ghosh, S. (2022). Identification of solid waste dumping site suitability of Kolkata Metropolitan Area using Fuzzy-AHP model. Cleaner Logistics and Supply Chain, 3. doi:10.1016/j.clscn.2022.100030.
[25] 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. Resources, Conservation and Recycling, 149, 220–235. doi:10.1016/j.resconrec.2019.05.027.
[26] Tercan, E., Dereli, M. A., & Tapkın, S. (2020). A GIS-based multi-criteria evaluation for MSW landfill site selection in Antalya, Burdur, Isparta planning zone in Turkey. Environmental Earth Sciences, 79(10), 1–17. doi:10.1007/s12665-020-08974-9.
[27] Eghtesadifard, M., Afkhami, P., & Bazyar, A. (2020). An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis. Environmental Research, 185, 185. doi:10.1016/j.envres.2020.109348.
[28] Zarin, R., Azmat, M., Naqvi, S. R., Saddique, Q., & Ullah, S. (2021). Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis. Environmental Science and Pollution Research, 28(16), 19726–19741. doi:10.1007/s11356-020-11975-7.
[29] Xue, L., Cao, P., Xu, D., Guo, Y., Wang, Q., Zheng, X., Han, R., & You, A. (2023). Agricultural land suitability analysis for an integrated rice–crayfish culture using a fuzzy AHP and GIS in central China. Ecological Indicators, 148. doi:10.1016/j.ecolind.2022.109837.
[30] Ajibade, F. O., Olajire, O. O., Ajibade, T. F., Nwogwu, N. A., Lasisi, K. H., Alo, A. B., Owolabi, T. A., & Adewumi, J. R. (2019). Combining multicriteria decision analysis with GIS for suitably siting landfills in a Nigerian state. Environmental and Sustainability Indicators, 3–4. doi:10.1016/j.indic.2019.100010.
[31] Ohri, A., & Singh, P. K. (2013). GIS based environmental decision support system for municipal landfill site selection. Management of Environmental Quality: An International Journal, 24(5), 583–598. doi:10.1108/MEQ-08-2012-0056.
[32] DjokanoviÄ‡, S., Abolmasov, B., & JevremoviÄ‡, D. (2016). GIS application for landfill site selection: a case study in PanÄevo, Serbia. Bulletin of Engineering Geology and the Environment, 75(3), 1273–1299. doi:10.1007/s10064-016-0888-0.
[33] Cobos, S., Solano, J., Vera, A., & Monge, J. (2017, November). Multicriteria analysis based on GIS to identify potential areas for the location of a joint landfill in the province of Azuay. XVI Conferencia Iberoamericana de Sistemas de Información Geográfica (CONFIBSIG), 16-19 May, 2023, Cáceres, Spain. (In Spanish).
[34] Alanbari, M. A., Al-Ansari, N., Jasim, H. K., & Knutsson, S. (2014). Modeling Landfill Suitability Based on GIS and Multicriteria Decision Analysis: Case Study in Al-Mahaweelqadaa. Natural Science, 06(11), 828–851. doi:10.4236/ns.2014.611081.
[35] Al-Anbari, M., Thameer, M., Al-Ansari, N., & Knutsson, S. (2016). Landfill Site Selection in Al-Najaf Governorate, Iraq. Journal of Civil Engineering and Architecture, 10(6). doi:10.17265/1934-7359/2016.06.003.
[36] Sisay, G., Gebre, S. L., & Getahun, K. (2021). GIS-based potential landfill site selection using MCDM-AHP modeling of Gondar Town, Ethiopia. African Geographical Review, 40(2), 105–124. doi:10.1080/19376812.2020.1770105.
[37] Ayaim, M. K., Fei-Baffoe, B., Sulemana, A., Miezah, K., & Adams, F. (2019). Potential sites for landfill development in a developing country: A case study of Ga South Municipality, Ghana. Heliyon, 5(10), 2537. doi:10.1016/j.heliyon.2019.e02537.
[38] Mohammed, H. I., Majid, Z., & Yamusa, Y. B. (2019). GIS based sanitary landfill suitability analysis for sustainable solid waste disposal. IOP Conference Series: Earth and Environmental Science, 220, 012056. doi:10.1088/1755-1315/220/1/012056.
[39] Ersoy, H., & Bulut, F. (2009). Spatial and multi-criteria decision analysis-based methodology for landfill site selection in growing urban regions. Waste Management and Research, 27(5), 489–500. doi:10.1177/0734242X08098430.
[40] Alkaradaghi, K., Ali, S. S., Al-Ansari, N., & Laue, J. (2020). Landfill Site Selection Using GIS and Multi-Criteria Decision-Making AHP and SAW Methods: A Case Study in Sulaimaniyah Governorate, Iraq. Engineering, 12(04), 254–268. doi:10.4236/eng.2020.124021.
[41] Sener, B., Süzen, M. L., & Doyuran, V. (2006). Landfill site selection by using geographic information systems. Environmental Geology, 49(3), 376–388. doi:10.1007/s00254-005-0075-2.
[42] Najjari, A., & Shayesteh, K. (2019). Site Selection for Hazardous Waste Using Fuzzy Logic Combined with Analytic Hierarchy Process: A Case study in Nahavand, Iran. Avicenna Journal of Environmental Health Engineering, 6(1), 8–15. doi:10.34172/ajehe.2019.02.
[43] Zabaleta Santisteban, J. A. (2019). Location of a Sanitary Landfill in the Naranjál Canton, through a Hierarchical Analysis Process Based on Geographic Information Systems. Universidad Nacional Toribio Rodr íguez de Mendoza (UNTRM), Chachapoyas, Peru.
[44] Khorsandi, H., Faramarzi, A., Aghapour, A. A., & Jafari, S. J. (2019). Landfill site selection via integrating multi-criteria decision techniques with geographic information systems: a case study in Naqadeh, Iran. Environmental Monitoring and Assessment, 191(12). doi:10.1007/s10661-019-7863-8.
[45] MINEDU (2024). Descarga de Información Espacial Del Ministerio de Educación. Ministerio de Educación, Lima, Perú. Available online: http://sigmed.minedu.gob.pe/descargas/ (accessed on April 2024).
[46] ERNANP (2024). Viewer of Protected Natural Areas. Servicio Nacional de íreas Naturales Protegidas por el Estado, Lima, Perú. Available online: http://geo.sernanp.gob.pe/visorsernanp/ (accessed on May 2024). (In Spanish).
[47] Silva López, J. O., Salas López, R., Rojas Briceño, N. B., Gómez Fernández, D., Terrones Murga, R. E., Iliquín Trigoso, D., Barboza Castillo, E., Oliva Cruz, M., & Barrena Gurbillón, M. í. (2022). Analytic Hierarchy Process (AHP) for a Landfill Site Selection in Chachapoyas and Huancas (NW Peru): Modeling in a GIS-RS Environment. Advances in Civil Engineering, 9733322. doi:10.1155/2022/9733322.
[48] MTC (2024). Download of Spatial Data-Land Transport by Road. Ministerio de Trasmportes y Comunicaciones, Lima, Perú. Available online: https://portal.mtc.gob.pe/estadisticas/descarga.html (accessed on May 2024). (In Spanish).
[49] Logan, T.A., Nicoll, J., Laurencelle, J., Hogenson, K., Gens, R., & Buechler, B. (2014). Radiometrically Terrain Corrected ALOS PALSAR Data Available from the Alaska Satellite Facility. American Geophysical Union, Washington, United States. Available online: https://ui.adsabs.harvard.edu/abs/2014AGUFMIN33B3762L/abstract (accessed on May 2024).
[50] Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. doi:10.1002/joc.5086.
[51] Poggio, L., De Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., & Rossiter, D. (2021). SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty. Soil, 7(1), 217–240. doi:10.5194/soil-7-217-2021.
[52] Ally, A. M., Yan, J., Bennett, G., Lyimo, N. N., & Mayunga, S. D. (2024). Assessment of groundwater potential zones using remote sensing and GIS-based fuzzy analytical hierarchy process (F-AHP) in Mpwapwa District, Dodoma, Tanzania. Geosystems and Geoenvironment, 3(1), 100232. doi:10.1016/j.geogeo.2023.100232.
[53] Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a twostep fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36(2 PART 2), 4067–4074. doi:10.1016/j.eswa.2008.03.013.
[54] Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. doi:10.1016/0022-2496(77)90033-5.
[55] Saaty, T. L. (1994). Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications, Chalfont St Peter, United Kingdom.
[56] Eastman, J. R. (2003). IDRISI Kilimanjaro: guide to GIS and image processing. Clark Labs, Clark University, Worcester, United States.
[57] Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. doi:10.1016/0165-0114(85)90090-9.
[58] Salari, S., Sadeghi-Yarandi, M., & Golbabaei, F. (2024). An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean Fuzzy AHP and Fuzzy Inference System. Scientific Reports, 14(1), 1–13. doi:10.1038/s41598-023-48885-w.
[59] Kadapa, H. (2024). A comprehensive framework for landslide risk assessment of archaeological sites in Gujarat, India. Egyptian Journal of Remote Sensing and Space Science, 27(1), 41–51. doi:10.1016/j.ejrs.2024.01.002.
[60] Mortazavi Chamchali, M., Mohebbi Tafreshi, A., & Mohebbi Tafreshi, G. (2021). Utilizing GIS linked to AHP for landfill site selection in Rudbar County of Iran. GeoJournal, 86(1), 163–183. doi:10.1007/s10708-019-10064-8.
[61] dos Santos, J. S., Girardi, A. G., & Brasil, A. A. (2007). Use of geoprocessing to locate landfill areas in the city of Alegrete-RS. Proceedings of the Anais XIII Simpósio Brasileiro de Sensoriamento Remoto, 21-26 April, 2007, Florianopolis, Brazil.
[62] Bustamante, C. (20123). Diagnóstico Ambiental Local de La Provincia de Luya – Lámud. Local Environmental Diagnosis – Province of Luya, Peru. (In Spanish).
[63] Gob.pe (2020). Informe N° 024-2020-GOB.REG.AMAZONAS/U.E.PROAMAZONAS/DOVP. Peruvian State, Peru. Available online: https://cdn.www.gob.pe/uploads/document/file/2078149/050.pdf.pdf (accessed on May 2024).
[64] Jaramillo, J. (2003). Guidelines for the design, construction and operation of manual sanitary landfills. Pan American Center for Sanitary Engineering and Environmental Science, Lima, Peru.
[65] INEI. (2017). Perfil Sociodemográfico. Instituto Nacional de Estadística e Informática, Lima, Peru. (In Spanish).
[66] Aduriz, M. A., Gargano, A. O., Chimeno, P., Saldungaray, M. C., & Conti, V. P. (2003). Characterization of the predominant agrosystems of the upper basin of the Sauce Grande River. RIA. Revista de Investigaciones Agropecuarias, 32(3), 3-25. (In Spanish).
[67] Vargas-Piedra, G., Valdez-Cepeda, R. D., López-Santos, A., Flores-Hernández, A., Hernández-Quiroz, N. S., & Martínez-Salvador, M. (2020). Current and Future Potential Distribution of the Xerophytic Shrub Candelilla (Euphorbia antisyphilitica) under Two Climate Change Scenarios. Forests, 11(5), 530. doi:10.3390/f11050530.
[68] Orhan, O. (2021). Land suitability determination for citrus cultivation using a GIS-based multi-criteria analysis in Mersin, Turkey. Computers and Electronics in Agriculture, 190, 106433. doi:10.1016/j.compag.2021.106433.
[69] Jaafari, A., Najafi, A., Pourghasemi, H. R., Rezaeian, J., & Sattarian, A. (2014). GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran. International Journal of Environmental Science and Technology, 11(4), 909–926. doi:10.1007/s13762-013-0464-0.
[70] Reis, S., Yalcin, A., Atasoy, M., Nisanci, R., Bayrak, T., Erduran, M., Sancar, C., & Ekercin, S. (2012). Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey). Environmental Earth Sciences, 66(7), 2063–2073. doi:10.1007/s12665-011-1432-y.
[71] Swets, J. A. (1988). Measuring the Accuracy of Diagnostic Systems. Science, 240(4857), 1285–1293. doi:10.1126/science.3287615.
[72] Yesilnacar, E. K. (2005). The application of computational intelligence to landslide susceptibility mapping in Turkey. University of Melbourne, Parkville, Australia.
[73] Ali, S. A., Parvin, F., Al-Ansari, N., Pham, Q. B., Ahmad, A., Raj, M. S., Anh, D. T., Ba, L. H., & Thai, V. N. (2021). Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India. Environmental Science and Pollution Research, 28(6), 7528–7550. doi:10.1007/s11356-020-11004-7.
[74] Redjem, A. L. I., Benyahia, A. Z. Z. E. D. I. N. E., Dougha, M. O. S. T. E. F. A., Nouibat, B. R. A. H. I. M., Hasbaia, M. A. H. M. O. U. D., & Ozer, A. (2021). Combining the Analytic Hierarchy Process with GIS for Landfill Site Selection: The Case of the Municipality of M'sila, Algeria. Revue Roumaine de Géographie, 65(2), 171-186.
[75] Magoura, A., Dehimi, S., & Redjem, A. (2023). A GIS-based multi-criteria evaluation of landfill site selection in the region of Hodna, Algeria. Journal of Degraded and Mining Lands Management, 10(4), 4709. doi:10.15243/jdmlm.2023.104.4709.
[76] Uyan, M. (2014). MSW landfill site selection by combining AHP with GIS for Konya, Turkey. Environmental Earth Sciences, 71(4), 1629–1639. doi:10.1007/s12665-013-2567-9.
[77] MINAM. (2021). Guide for the Identification of Potential Areas for Municipal Solid Waste Final Disposal Infrastructure. Ministerio del Ambiente (MINAM), Lima, Peru. (In Spanish).
[78] Duru, O., Bulut, E., & Yoshida, S. (2012). Regime switching fuzzy AHP model for choice-varying priorities problem and expert consistency prioritization: A cubic fuzzy-priority matrix design. Expert Systems with Applications, 39(5), 4954–4964. doi:10.1016/j.eswa.2011.10.020.
[79] Adewumi, J. R., Ejeh, O. J., Lasisi, K. H., & Ajibade, F. O. (2019). A GIS–AHP-based approach in siting MSW landfills in Lokoja, Nigeria. SN Applied Sciences, 1(12), 1528. doi:10.1007/s42452-019-1500-6.
[80] Khodaparast, M., Rajabi, A. M., & Edalat, A. (2018). Municipal solid waste landfill siting by using GIS and analytical hierarchy process (AHP): a case study in Qom city, Iran. Environmental Earth Sciences, 77(2), 1–12. doi:10.1007/s12665-017-7215-3.
[81] Asefa, B., & Mindahun, W. (2020). Suitable Solid Waste Disposal Site Selection Using Geographical Information System: A Case of Debre Markos Town, Ethiopia. Journal of Environment and Earth Science, 9(2), 1-8. doi:10.7176/jees/10-8-03.
[82] Bouroumine, Y., Bahi, L., Ouadif, L., Elhachmi, D., & Ait Errouhi, A. (2020). Sitting MSW landfill combining GIS and analytic hierarchy process (AHP), case study: Ajdir, Morocco. International Journal of Advanced Research in Engineering and Technology, 11(5), 318–328. doi:10.34218/IJARET.11.5.2020.033.
[83] Musana, R. F., Rucamumihigo, F. X., Nirere, D., & Mbaraka, S. R. (2020). Growth and yield performance of common bean (Phaseolus vulgaris L.) as influenced by plant density at Nyagatare, East Rwanda. African Journal of Food, Agriculture, Nutrition and Development, 20(4), 16249–16261. doi:10.18697/ajfand.92.18700.
[84] Rezaeisabzevar, Y., Bazargan, A., & Zohourian, B. (2020). Landfill site selection using multi criteria decision making: Influential factors for comparing locations. Journal of Environmental Sciences (China), 93, 170–184. doi:10.1016/j.jes.2020.02.030.
[85] Pasalari, H., Nodehi, R. N., Mahvi, A. H., Yaghmaeian, K., & Charrahi, Z. (2019). Landfill site selection using a hybrid system of AHP-Fuzzy in GIS environment: A case study in Shiraz city, Iran. MethodsX, 6, 1454–1466. doi:10.1016/j.mex.2019.06.009.
[86] Spigolon, L. M. G., Giannotti, M., Larocca, A. P., Russo, M. A. T., & Souza, N. da C. (2018). Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses. Waste Management and Research, 36(7), 606–615. doi:10.1177/0734242x18773538.
[87] Bilgilioglu, S. S., Gezgin, C., Orhan, O., & Karakus, P. (2022). A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey. Environmental Science and Pollution Research, 29(4), 5313–5329. doi:10.1007/s11356-021-15859-2.
[88] Chabuk, A., Al-Ansari, N., Hussain, H., Knutsson, S., Pusch, R., & Laue, J. (2017). Combining GIS Applications and Method of Multi-Criteria Decision-Making (AHP) for Landfill Siting in Al-Hashimiyah Qadhaa, Babylon, Iraq. Sustainability, 9(11), 1932. doi:10.3390/su9111932.
[89] Karabulut, A. Ä°., Yazici-Karabulut, B., Derin, P., Yesilnacar, M. I., & Cullu, M. A. (2022). Landfill siting for municipal solid waste using remote sensing and geographic information system integrated analytic hierarchy process and simple additive weighting methods from the point of view of a fast-growing metropolitan area in GAP area of Turkey. Environmental Science and Pollution Research, 29(3), 4044–4061. doi:10.1007/s11356-021-15951-7.
[90] Ahire, V., Behera, D. K., Saxena, M. R., Patil, S., Endait, M., & Poduri, H. (2022). Potential landfill site suitability study for environmental sustainability using GIS-based multi-criteria techniques for Nashik and environs. Environmental Earth Sciences, 81(6). doi:10.1007/s12665-022-10295-y.
[91] Mustafa, F. B., & Bwadi, B. E. (2018). Determination of Optimal Freshwater Prawn Farming Site Locations using GIS and Multicriteria Evaluation. Journal of Coastal Research, 82, 41–54. doi:10.2112/SI82-006.1.
[92] Palacios, I. (2018). Sanitary Landfill in the City of Macas, Through the Weighting of Its Variables with the Process. Journal of Security and Defense Sciences, III, 83–94.

Publication Start Year:	2015
JCR 2023 Impact Factor (IF):	4.3
JIF QUARTILE:	Q1
SJR 2023 Quartile:	Q1
Acceptance Rate:	27%
Review Speed (Average):	76 days
Issue Per Year:	12
Number of Volumes:	10
Number of Issues:	107
Number of Articles:	1552
Number of Reviewers:	3417
Number of Contributors:	3604
Contributing Countries:	86
No. of WoS Citations:	7986
WoS h-index:	34
Scopus CiteScore:	7.0
No. of Google Citations:	17324
Google h-index:	47
Google i10-index:	393
Abstract Views:	5,819,908
PDF Download:	3,790,637

Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning

Authors

Downloads

Login

Publisher and Affiliated Societies

Publisher & Affiliated Societies

Indexing & Abstracting

SidebarMenu

Journal Imprint

Journal Imprint

Journal Metrics

IndexedBy

Indexed In

Follow us

Follow Us

Most Cited Articles

Heavy Metal Removal Investigation in Conventional Activated Sludge Systems

Modeling of the Solar Thermal Energy Use in Urban Areas

Adsorption Behavior of Heavy Metal Ions by Hybrid Inulin-TEOS for Water Treatment

Application of Tuned Mass Dampers for Structural Vibration Control: A State-of-the-art Review

visitors

Analytics

Information

Address

Contact Info: