Karafan Journal

Karafan Journal

Location Optimization of Wastewater Treatment Plant Based on the Approach of Data Envelopment Analysis and Decision-making Based on Gray Theory

Document Type : Original Article

Authors
1 Industrial Engineering Department, Kermanshah University of Technology, Kermanshah, Iran.
2 Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract
Wastewater treatment plants are one of the main infrastructures of every city, apart from considering the topography, society and type of wastewater, it is very essential to establish them in an appropriate place considering the main criteria. The aim of this study was to find the optimal location of the wastewater treatment plant for a case study in Kermanshah province, and for this purpose, a two-step decision-making approach was proposed. Using this approach, effective quantitative and qualitative criteria were considered for the evaluation of locations. In the first stage, DEA was used to select high-efficiency locations based on various measurable criteria. In the second stage, these potential places were evaluated in terms of qualitative criteria, including technical, economic, environmental and social factors. For this evaluation, grey AHP were used for criteria weighting, and grey TOPSIS ranked the locations. The results showed that in the process of selecting the optimal potential location for the establishment of a wastewater treatment plant, the factors of support mechanisms with a weight of 0.179, transmission grid accessibility with a weight of 0.168, proximity to residential areas with a weight of 0.129, and government policies and laws with a weight of 0.101 are the most important criteria. The final ranking identified three cities—Sarmast, Kermanshah, and Tazehabad—as the most suitable locations for establishing wastewater treatment plants. Their degree of possibility values were 0.697, 0.820, and 0.913, respectively, indicating their strong potential for this purpose.
Keywords
Subjects

[1] Shahmoradi, B., & Pouramraei, R. (2021). Site Location of Municipal Wastewater Treatment Plant Using Land Suitability Model (Case Study: Kouhdasht City). Environment and Water Engineering, 7(2), 232-242. https://doi.org/10.22034/jewe.2021.271917.1507. (In Persian)
[2] Chen, Y., Liu, Z., & Zhou, B.B. (2022). Population-environment dynamics across world's top 100 urban agglomerations: With implications for transitioning toward global urban sustainability. Journal of Environmental Management, 319, 115630. https://doi.org/10.1016/j.jenvman.2022.115630.
[3] Bej, S., Swain, S., Bishoyi, A. K., Mandhata, C. P., Sahoo, C.R., & Padhy, R.N. (2023). Wastewater-associated infections: a public health concern. Water, Air, & Soil Pollution, 234(7), 444. https://doi.org/10.1007/s11270-023-06431-4.
[4] Fallah, M., Farajzadeh, M., Vagharfard, H., & Nikkheslat, A. (2013). Site selection of waste water treatment plant using GIS and TOPSIS (case study: Qeshm Island). Territory journal, 10(37), 109-126. https://sanad.iau.ir/en/Article/823975?FullText=FullText. (In Persian)
[5] Mauricio-Iglesias, M., Longo, S., & Hospido, A. (2020). Designing a robust index for WWTP energy efficiency: The ENERWATER water treatment energy index. Science of the Total Environment, 713, 136642. https://doi.org/10.1016/j.scitotenv.2020.136642.
[6] Balkema, A. J., Preisig, H.A., Otterpohl, R., & Lambert, F.J.D. (2002). Indicators for the sustainability assessment of wastewater treatment systems. Urban Water, 4(2), 153-161. https://doi.org/10.1016/S1462-0758(02)00014-6.
[7] Hernández-Sancho, F., & Sala-Garrido, R. (2009). Technical efficiency and cost analysis in wastewater treatment processes: a DEA approach. Desalination, 249(1), 230-234. https://doi.org/10.1016/j.desal.2009.01.029.
[8] Zhao, Y. W., Qin, Y., Chen, B., Zhao, X., Li, Y., Yin, X. A., & Chen, G. Q. (2009). GIS-based optimization for the locations of sewage treatment plants and sewage outfalls–A case study of Nansha District in Guangzhou City, China. Communications in Nonlinear Science and Numerical Simulation, 14(4), 1746-1757. https://doi.org/10.1016/j.cnsns.2007.12.016.
[9] Bottero, M., Comino, E., & Riggio, V. (2011). Application of the analytic hierarchy process and the analytic network process for the assessment of different wastewater treatment systems. Environmental Modelling & Software, 26(10), 1211-1224. https://doi.org/10.1016/j.envsoft.2011.04.002.
[10] Ghaderi, S., Javid, A., Ghaffarzadeh, H., & Lotf, F. H. (2019). Optimal selection of wastewater treatment and location for subway stations using mathematical techniques: Five stations at the eastern end of Tehran subway line 2. The Kuwait Journal of Science, 46(1), 99-106. https://journalskuwait.org/kjs/index.php/KJS/article/view/4298.
[11] Rezaali, M., & Karimi, A. (2019). Decentralized Wastewater Treatment Plants Site Selection of Qom Province by Using Fuzzy Logic and AHP. Iran-Water Resources Research, 15(1), 76-91. (In Persian). https://20.1001.1.17352347.1398.15.1.6.3.
[12] Rasi Nezami, S. S., Dalir, A., & Sharghi, E. (2020). Groundwater Extraction locating by GIS, DEMATEL and Analytical Network Process (ANP) (Case study: Ardabil Plain Basin). Iran-Water Resources Research, 16(1), 447-452. https://20.1001.1.17352347.1399.16.1.30.4. (In Persian)
[13] Ayyildiz, E., Yildiz, A., Taskin Gumus, A., & Ozkan, C. (2021). An integrated methodology using extended swara and dea for the performance analysis of wastewater treatment plants: Turkey case. Environmental Management, 67(3), 449-467. https://doi.org/10.1007/s00267-020-01381-7.
[14] Fu, H., Niu, J., Wu, Z., Xue, P., Sun, M., Zhu, H., & Cheng, B. (2022). Influencing factors of stereotypes on wastewater treatment plants - Case study of 9 wastewater treatment plants in Xi’an, China. Environmental Management70(3), 526-535. https://doi.org/10.1007/s00267-022-01663-2.
[15] Chaabane, S., Ghattassi, A., Mensi, K., M’hiri, F., De Ketelaere, D., Spiteri, A., & Plakas, K. (2024). Multi-criteria site selection for wastewater treatment plant in Bent Saidane, Tunisia. Journal of Environmental Engineering and Science19(4), 262-272. https://doi.org/10.1680/jenes.24.00009.
[16] Rafiei, N., Asadzadeh, S., & Niaki, S. T. A. (2023). Multi-objective design of risk-adjusted control chart in healthcare systems with economic and statistical considerations. Communications in Statistics - Simulation and Computation, 52(7), 2967-2984. https://doi.org/10.1080/03610918.2021.1923744.
[17] Darzi, M.A. (2024). Overcoming barriers to integrated management systems via developing guiding principles using G-AHP and F-TOPSIS. Expert Systems with Applications, 239, 122305. https://doi.org/10.1016/j.eswa.2023.122305.
[18] Soleymani, G., Abdi, R., Ghanbari, M., & Loghmanpour zarini, R. (2023). Evaluation and Optimization of Energy Consumption and Greenhouse Gas Emissions of Sugar Beet Production with the Method of Data Envelopment Analysis. Karafan Journal, 20(1), 131-150. https://doi.org/10.48301/kssa.2023.388258.2471. (In Persian)
[19] Rafiei, N., Amiri, F., & Mortazavi, H. (2023). An Integrated Model to Evaluate the Design Concept Using the Analytic Hierarchy Process and TOPSIS Technique Based on Rough Numbers. Karafan Journal, 20(1), 409-431. (In Persian) https://doi.org/10.48301/KSSA.2023.375446.2367.
[20] Wang, C. N., Dang, T. T., & Wang, J. W. (2022). A combined Data Envelopment Analysis (DEA) and Grey Based Multiple Criteria Decision Making (G-MCDM) for solar PV power plants site selection: A case study in Vietnam. Energy Report8, 1124-1142. https://doi.org/10.1016/j.egyr.2021.12.045.
[21] Hasanzadeh, R., Mojaver, P., Azdast, T., Khalilarya, S., Chitsaz, A., & Rosen, M. A. (2023). Decision analysis for plastic waste gasification considering energy, exergy, and environmental criteria using TOPSIS and grey relational analysis. Process Safety and Environmental Protection174, 414-423. https://doi.org/10.1016/j.psep.2023.04.028.
[22] Wankhede, V. A., & Vinodh, S. (2023). Analysis of barriers of sustainable 4D printing using Grey TOPSIS approach. International Journal of Sustainable Engineering, 16(1), 184-196. https://doi.org/10.1080/19397038.2023.2238216.
Volume 22, Issue 3
Technical and Engineering
Autumn 2025
Pages 426-448

  • Receive Date 25 September 2024
  • Revise Date 01 January 2025
  • Accept Date 05 February 2025