Skip to main content

Advertisement

SpringerLink
Log in

Sustainable landfill site selection for hazardous waste using a GIS-based MCDM approach with G-number information

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

This study aims to present a new integrated framework based on the decision-making techniques and geographic information system (GIS) in order to select the best landfill for hazardous waste. To consider the uncertainty in this process, the G-number theory is used, which includes two components of importance and necessity so as to increase accuracy in choosing the optimal location. In the first stage of this proposed approach, the factors influencing the selection of a suitable site for burying hazardous waste have been identified in three groups, including environmental, social, and economic factors. In the following, the weights of these 13 criteria are calculated using the stepwise weight assessment ratio analysis (SWARA), in order to reduce the ambiguity in attributing weights to the criteria by incorporating the SWARA method and the Importance–Necessity concept (G-number) and to present a novel method, namely the G-SWARA method. By decreasing levels of ambiguity in the final results through the addition of the Necessity and Importance concepts, in the next step, 10 potential locations proposed as the most suitable options by using GIS spatial analysis system have been analyzed and ranked using the weighted aggregated sum product assessment (WASPAS) method based on G-number and site number 6 with 261.97 hectares was ranked first. To evaluate the ranking, the results were compared with F-WASPAS and WASPAS methods, and it was found that the results of the proposed method are more reliable. Sensitivity analysis was also performed to show the degree of ranking stability in different scenarios.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abdulhasan, M. J., Hanafiah, M. M., Satchet, M. S., Abdulaali, H. S., Toriman, M. E., & Al-Raad, A. A. (2019). Combining GIS, fuzzy logic and AHP models for solid waste disposal site selection in Nasiriyah, Iraq. Applied Ecology and Environmental Research, 17(3), 6701–6722.

    Article  Google Scholar 

  • Afzali, A., Soheil Sabri, M., Rashid, J. M., Samani, V., & Ludin, A. N. M. (2014). Inter-municipal landfill site selection using analytic network process. Water Resources Management, 28(8), 2179–2194.

    Article  Google Scholar 

  • Akbari, R., Dabbagh, R., & Ghoushchi, S. J. (2020). HSE risk prioritization of molybdenum operation process using extended FMEA approach based on Fuzzy BWM and Z-WASPAS. Journal of Intelligent & Fuzzy Systems, 38(4), 5157–5173.

    Article  Google Scholar 

  • Akintorinwa, O., & Okoro, O. (2019). Combine electrical resistivity method and multi-criteria GIS-based modeling for landfill site selection in the Southwestern Nigeria. Environmental Earth Sciences, 78(5), 162.

    Article  Google Scholar 

  • Aksoy, E., & San, B. T. (2019). Geographical information systems (GIS) and multi-criteria decision analysis (MCDA) integration for sustainable landfill site selection considering dynamic data source. Bulletin of Engineering Geology and the Environment, 78(2), 779–791.

    Article  Google Scholar 

  • Ali, J., Bashir, Z., & Rashid, T. (2021). WASPAS-based decision making methodology with unknown weight information under uncertain evaluations. Expert Systems with Applications, 168, 114143.

    Article  Google Scholar 

  • Babalola, A., & Busu, I. (2011). Selection of landfill sites for solid waste treatment in Damaturu Town-using GIS techniques. Journal of Environmental Protection, 2(01), 1.

    Article  CAS  Google Scholar 

  • Banar, M., Kose, B. M., Ozkan, A., & Acar, I. P. (2007). Choosing a municipal landfill site by analytic network process. Environmental Geology, 52(4), 747–751.

    Article  Google Scholar 

  • Chabuk, A., Al-Ansari, N., Hussain, H. M., Knutsson, S., & Pusch, R. (2016). Landfill site selection using geographic information system and analytical hierarchy process: A case study Al-Hillah Qadhaa, Babylon, Iraq. Waste Management & Research, 34(5), 427–437.

    Article  Google Scholar 

  • Chamchali, M. M., & Ghazifard, A. (2019). The use of fuzzy logic spatial modeling via GIS for landfill site selection (case study: Rudbar-Iran). Environmental Earth Sciences, 78(10), 305.

    Article  Google Scholar 

  • Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. (2021). Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector. Technological Forecasting and Social Change, 171, 120951.

    Article  Google Scholar 

  • Danesh, G., Monavari, S. M., Omrani, G. A., Karbasi, A., & Farsad, F. (2019). Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models. Environmental Monitoring and Assessment, 191(2), 1–14.

    Article  Google Scholar 

  • Dong, G., Wei Wei, X., Xia, M. W., & Damaševičius, R. (2020). Safety risk assessment of a Pb-Zn mine based on fuzzy-grey correlation analysis. Electronics, 9(1), 130.

    Article  CAS  Google Scholar 

  • Dorosti, S., Fathi, M., Ghoushchi, S. J., Khakifirooz, M., & Khazaeili, M. (2020). Patient waiting time management through fuzzy based failure mode and effect analysis. Journal of Intelligent & Fuzzy Systems, (Preprint): pp. 1–12.

  • Dou, H., Qi, Y., Wei, W., & Song, H. (2017). Carbon-aware electricity cost minimization for sustainable data centers. IEEE Transactions on Sustainable Computing, 2(2), 211–223.

    Article  Google Scholar 

  • Eldrandaly, K. A. (2013). Exploring multi-criteria decision strategies in GIS with linguistic quantifiers: An extension of the analytical network process using ordered weighted averaging operators. International Journal of Geographical Information Science, 27(12), 2455–2482.

    Article  Google Scholar 

  • Gautam, P., Kumar, S., & Lokhandwala, S. (2019). Advanced oxidation processes for treatment of leachate from hazardous waste landfill: A critical review. Journal of Cleaner Production, 237, 117639.

    Article  CAS  Google Scholar 

  • Gbanie, S. P., Tengbe, P. B., Momoh, J. S., Medo, J., & Kabba, V. T. S. (2013). Modelling landfill location using geographic information systems (GIS) and multi-criteria decision analysis (MCDA): Case study Bo, Southern Sierra Leone. Applied Geography, 36, 3–12.

    Article  Google Scholar 

  • Ghoushchi, S. J., Bonab, S. R., Ghiaci, A. M., Haseli, G., Tomaskova, H., & Hajiaghaei-Keshteli, M. (2021). Landfill site selection for medical waste using an integrated SWARA-WASPAS framework based on spherical fuzzy set. Sustainability, 13(24), 13950.

    Article  Google Scholar 

  • Ghoushchi, S. J., Dorosti, S., & Moghaddam, S. H. (2020). Qualitative and quantitative analysis of waste management literature from 2000 to 2015. International Journal of Environment and Waste Management, 26(4), 471–486.

    Article  Google Scholar 

  • Ghoushchi, S. J., Gharibi, K., Osgooei, E., Rahman, M. N. A., & Khazaeili, M. (2021). Risk prioritization in failure mode and effects analysis with extended SWARA and MOORA methods based on Z-numbers theory. Informatica, 32(1), 41–67.

    Article  Google Scholar 

  • Ghoushchi, S. J., & Khazaeili, M. (2019). G-Numbers: Importance-necessity concept in uncertain environment. International Journal of Management and Fuzzy Systems, 5(1), 27–32.

    Article  Google Scholar 

  • Ghoushchi, S. J., Rahman, M. N. A., Raeisi, D., Osgooei, E., & Ghoushji, M. J. (2020). Integrated decision-making approach based on SWARA and GRA methods for the prioritization of failures in solar panel systems under Z-information. Symmetry, 12(2), 310.

    Article  Google Scholar 

  • Gómez-Delgado, M., & Tarantola, S. (2006). GLOBAL sensitivity analysis, GIS and multi-criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain. International Journal of Geographical Information Science, 20(4), 449–466.

    Article  Google Scholar 

  • Haddad, A. N., da Costa, B. B. F., de Andrade, L. S., Hammad, A., & Soares, C. A. P. (2021). Application of fuzzy-TOPSIS method in supporting supplier selection with focus on HSE criteria: A case study in the oil and gas industry. Infrastructures, 6(8), 105.

    Article  Google Scholar 

  • Hafezalkotob, A., & Hafezalkotob, A. (2017). A novel approach for combination of individual and group decisions based on fuzzy best-worst method. Applied Soft Computing, 59, 316–325.

    Article  Google Scholar 

  • Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection. SpringerPlus, 5(1), 501.

    Article  Google Scholar 

  • Hariz, H. A., Dönmez, C. Ç., & Sennaroglu, B. (2017). Siting of a central healthcare waste incinerator using GIS-based Multi-Criteria Decision Analysis. Journal of Cleaner Production, 166, 1031–1042.

    Article  Google Scholar 

  • Haseli, G., Sheikh, R., & Sana, S. S. (2020). Base-criterion on multi-criteria decision-making method and its applications. International Journal of Management Science and Engineering Management, 15(2), 79–88.

    Article  Google Scholar 

  • Haseli, G., Sheikh, R., Wang, J., Tomaskova, H., & Tirkolaee, E. B. (2021). A novel approach for group decision making based on the best–worst method (G-bwm): Application to supply chain management. Mathematics, 9(16), 1881.

    Article  Google Scholar 

  • Helton, J. C. (1993). Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. Reliability Engineering & System Safety, 42(2–3), 327–367.

    Article  Google Scholar 

  • Jafarzadeh Ghoushchi, S., Dorosti, S., Khazaeili, M., & Mardani, A. (2021). Extended approach by using best–worst method on the basis of importance–necessity concept and its application. Applied Intelligence, 51(11), 1–5.

    Article  Google Scholar 

  • Jiménez-Delgado, G., Balmaceda-Castro, N., Hernández-Palma, H., de la Hoz-Franco, E., García-Guiliany, J., Martinez-Ventura, J. (2019). An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation. In International Conference on Human-Computer Interaction. 2019. Springer.

  • Kabak, M., Erbaş, M., Çetinkaya, C., & Özceylan, E. (2018). A GIS-based MCDM approach for the evaluation of bike-share stations. Journal of Cleaner Production, 201, 49–60.

    Article  Google Scholar 

  • Keller, E. A., et al. (2012). Introduction to environmental geology. NJ: Prentice Hall Upper Saddle River.

    Google Scholar 

  • Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258.

    Article  Google Scholar 

  • Khan, S., & Faisal, M. N. (2008). An analytic network process model for municipal solid waste disposal options. Waste Management, 28(9), 1500–1508.

    Article  Google Scholar 

  • Khoshand, A., Bafrani, A. H., Zahedipour, M., Mirbagheri, S. A., & Ehtehsami, M. (2018). Prevention of landfill pollution by multicriteria spatial decision support systems (MC-SDSS): development, implementation, and case study. Environmental Science and Pollution Research, 25(9), 8415–8431.

    Article  CAS  Google Scholar 

  • Kosko, B. (1994). Fuzzy systems as universal approximators. IEEE Transactions on Computers, 43(11), 1329–1333.

    Article  Google Scholar 

  • Liu, H.-C., You, J.-X., Chao, L., & Shan, M.-M. (2014). Application of interval 2-tuple linguistic MULTIMOORA method for health-care waste treatment technology evaluation and selection. Waste Management, 34(11), 2355–2364.

    Article  Google Scholar 

  • Lv, Y., Liu, Y., Jing, W., Woźniak, M., Damaševičius, R., Scherer, R., & Wei, W. (2020). Quality control of the continuous hot pressing process of medium density fiberboard using fuzzy failure mode and effects analysis. Applied Sciences, 10(13), 4627.

    Article  CAS  Google Scholar 

  • Margallo, M., Ziegler-Rodriguez, K., Vázquez-Rowe, I., Aldaco, R., Irabien, Á., & Kahhat, R. (2019). Enhancing waste management strategies in Latin America under a holistic environmental assessment perspective: A review for policy support. Science of The Total Environment, 689, 1255–1275. https://doi.org/10.1016/j.scitotenv.2019.06.393

    Article  CAS  Google Scholar 

  • Monavari, S. M., Hoasami, P., Tajziehchi, S., Khorramichokami, N., & Area, A. S. (2012). Study of solid waste landfill suitability using regional screening method and AHP in Rasht city. Int. J. Engine. Phys. Sci, 6(1), 2–27.

    Google Scholar 

  • Nazari, A., Salarirad, M. M., & Bazzazi, A. A. (2012). Landfill site selection by decision-making tools based on fuzzy multi-attribute decision-making method. Environmental Earth Sciences, 65(6), 1631–1642.

    Article  Google Scholar 

  • Orujov, F., Maskeliūnas, R., Damaševičius, R., Wei, Wei, & Li, Ye. (2018). Smartphone based intelligent indoor positioning using fuzzy logic. Future Generation Computer Systems, 89, 335–348.

    Article  Google Scholar 

  • Pamučar, D., Gigović, L., Bajić, Z., & Janošević, M. (2017). Location selection for wind farms using GIS multi-criteria hybrid model: An approach based on fuzzy and rough numbers. Sustainability, 9(8), 1315.

    Article  Google Scholar 

  • Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types. Journal of Cleaner Production, 170, 227–241.

    Article  Google Scholar 

  • Rahmat, Z. G., Niri, M. V., Alavi, N., Goudarzi, G., Babaei, A. A., Baboli, Z., & Hosseinzadeh, M. (2017). Landfill site selection using GIS and AHP: A case study: Behbahan, Iran. KSCE Journal of Civil Engineering, 21(1), 111–118.

    Article  Google Scholar 

  • Ranjbarzadeh, R., Jafarzadeh Ghoushchi, S., Bendechache, M., Amirabadi, A., Ab Rahman, M. N., Baseri Saadi, S., & Kooshki Forooshani, M. (2021). Lung infection segmentation for COVID-19 pneumonia based on a cascade convolutional network from CT images. BioMed Research International.

  • Ren, J., Liang, H., & Chan, F. T. (2017). Urban sewage sludge, sustainability, and transition for Eco-City: Multi-criteria sustainability assessment of technologies based on best-worst method. Technological Forecasting and Social Change, 116, 29–39.

    Article  Google Scholar 

  • Sakir, S., Raman, S. N., Safiuddin, M., Amrul Kaish, A. B. M., & Mutalib, A. A. (2020). Utilization of by-products and wastes as supplementary cementitious materials in structural mortar for sustainable construction. Sustainability, 12(9), 3888.

    Article  CAS  Google Scholar 

  • Saltelli, A. (2004). Global sensitivity analysis: an introduction. In Proc. 4th International Conference on Sensitivity Analysis of Model Output (SAMO’04).

  • Sardar, N., Mohajeri, A., & Javanshir, H. (2018). Sustainable design for locating sorting centers of municipal solid waste. International Journal of Applied Optimization Studies, 1(02), 52–62.

    Google Scholar 

  • Şener, Ş, Şener, E., Nas, B., & Karagüzel, R. (2010). Combining AHP with GIS for landfill site selection: a case study in the Lake Beyşehir catchment area (Konya, Turkey). Waste Management, 30(11), 2037–2046.

    Article  Google Scholar 

  • Shan, G., Jin, W., Renjie, T., Yuntian, Q., Wei, W., Zhang, T. C., Surampalli, R. Y., & Tyagi, R. D. (2016). Nanomaterials for sustainable society. In H. H. Ngo, W. Guo, R. Y. Surampalli, & T. C. Zhang (Eds.), Green Technologies for Sustainable Water Management (pp. 975–993). Reston, VA: American Society of Civil Engineers.

    Chapter  Google Scholar 

  • Soroudi, M., Omrani, G., Moataar, F., & Jozi, S. (2018). Modelling an integrated fuzzy logic and multi-criteria approach for land capability assessment for optimized municipal solid waste landfill siting yeast. Polish Journal of Environmental Studies, 27(1), 313–323.

    Article  Google Scholar 

  • Stemn, E., & Kumi-Boateng, B. (2019). Hazardous waste landfill site selection in Western Ghana: An integration of multi-criteria decision analysis and geographic information system. Waste Management and Research, 37(7), 723–736.

    Article  Google Scholar 

  • Uyan, M. (2014). MSW landfill site selection by combining AHP with GIS for Konya, Turkey. Environmental Earth Sciences, 71(4), 1629–1639.

    Article  Google Scholar 

  • Wei, W., Wu, J., Zhu, C. (2020). Special issue on situation awareness in intelligent human-computer interaction for time critical decision making.

  • Yang, H., Li, Z.-F., & Wei, W. (2014). Application of peer-to-peer data transmission mode in the WebGIS. Information Technology Journal, 13(5), 948.

    Article  Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

    Article  Google Scholar 

  • Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2012). Optimization of weighted aggregated sum product assessment. Electronics and Electrical Engineering, 122(6), 3–6.

    Google Scholar 

  • Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179.

    Article  Google Scholar 

  • Zhao, H., Guo, S., & Zhao, H. (2018). Comprehensive benefit evaluation of eco-industrial parks by employing the best-worst method based on circular economy and sustainability. Environment, Development and Sustainability, 20(3), 1229–1253.

    Article  Google Scholar 

  • Zhao, J., & Huang, L. (2019). Multi-period network design problem in regional hazardous waste management systems. International Journal of Environmental Research and Public Health, 16(11), 2042.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran

    Saeid Jafarzadeh Ghoushchi & Bahman Nasiri

Authors
  1. Saeid Jafarzadeh Ghoushchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bahman Nasiri
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Saeid Jafarzadeh Ghoushchi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ghoushchi, S.J., Nasiri, B. Sustainable landfill site selection for hazardous waste using a GIS-based MCDM approach with G-number information. Environ Dev Sustain (2022). https://doi.org/10.1007/s10668-022-02400-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10668-022-02400-9

Keywords

Search

Navigation