مکان‌یابی محل دفن مواد زاید جامد شهری در مناطق خشک شهرستان کاشان با به‌کارگیری روش‌های OWA و تاپسیس‌فازی با در نظر گرفتن اهمیت منابع آب

نویسندگان

گروه محیط زیست، دانشکده منابع طبیعی و علوم زمین، دانشگاه کاشان

10.22052/deej.2020.9.27.51

چکیده

با انتخاب محل مناسب برای دفن مواد زاید جامد می‌توان از اثرات نامطلوب اکولوژیکی و اجتماعی‌اقتصادی جلوگیری کرد. شهرستان کاشان به‌عنوان یک منطقۀ خشک یکی از شهرستان‌های صنعتی در شمال استان اصفهان است که افزایش روزافزون جمعیت موجب تولید بیشتر مواد زاید جامد شهری شده است. امر مکان‌یابی محل دفن مواد زاید جامد به‌علت نبود جایگاه دفن مناسب در شهرستان کاشان از اهداف این مطالعه است. در این پژوهش، از روش‌های تصمیم‌گیری چندمعیاره از جمله فرایند تحلیل سلسله‌مراتبی (AHP < /span>) و میانگین‌گیری وزن‌دار ترتیبی (OWA) برای مکان‌‌یابی دفن استفاده شد. نقشه‌های استانداردشدۀ معیارها به روش فازی در محیط سامانۀ اطلاعات جغرافیایی آماده و سپس روی‌هم‌گذاری با استفاده از روش میانگین‌گیری وزن‌دار ترتیبی و در نظر گرفتن هفت سناریو منطبق با ریسک‌پذیری کم تا زیاد صورت گرفت. اولویت‌بندی سه منطقۀ پیشنهادی حاصل از سناریوی چهارم به‌دلیل انطباق با روش ترکیب خطی وزنی به‌عنوان نمونه با استفاده از روش تاپسیس‌فازی نشان داد که مناسب‌ترین منطقه برای دفن مواد زاید جامد در قسمت جنوب شرقی شهرستان است. همچنین نتایج وزن‌دهی با استفاده از روش AHP < /span> در این مطالعه ضمن اختصاص بیشترین اهمیت به معیارهای فاصله تا عمق آب زیرزمینی، نزدیکی به آبراهه‌ها و چاه و چشمه به‌ترتیب با وزن‌های 161/0، 137/0 و 116/0 اهمیت قابل توجه منابع آب را گوشزد کرده که بایستی به آن‌ها در اولویت‌بندی محل‌های پیشنهادی دفن مواد زاید جامد شهری توجه ویژه کرد.

کلیدواژه‌ها


عنوان مقاله [English]

Selecting Municipal Solid Waste Landfill Site in Kashan City Using OWA and TOPSIS Fuzzy Methods

نویسندگان [English]

  • Shima Oveisi
  • Afsaneh Afzali
چکیده [English]

Introduction: Nowadays, the municipal solid waste landfill is one of the major disposal methods used in many countries of the world including Iran. Like any other engineering projects, landfill site selection requires precise information and clear planning. Considering various factors involved in selecting a suitable place for a landfill and the extensive connections between them, experts are, thus, led to a system like GIS that measures different impacts of those factors and analyzes their mutual relationships with sufficient accuracy and speed. As a decision-making model, GIS is capable of managing and organizing various environmental criteria and manage the relevant collected data (Chitazan et al., 2013). From among the multiple decision-making methods, AHP is applied in management science (Mokhtari et al., 2015). Another model is the Topics Fuzzy method which is based on the selection of an option that has the minimum distance with the ideal positive solution and the maximum distance with the ideal negative solution. another model is the ordered weighted average (OWA) which is also another decision-making issue and a risk-taker and risk-avoider method in which a risk-taker emphasizes the good and bad properties of an option, and a risk-avoider emphasizes its bad properties (Yager, 1988).
 
Materials and methods: Kashan is the second largest city of Isfahan province with an area of 4,392 km2 and a population of 364482 people. By studying environmental and health guidelines as well as the status of the target area, 12 effective criteria were identified for landfill site location (Sydikai et al., 1996 and Gyor Salanguch, 2012). Due to the incompatibility of factors, standardization was carried out by the fuzzy method. To determine the significance of the factors (weight), the criteria were compared with each other. Each score was also scored from 1 to 9 and weights were calculated via Expert Choice software. (Rajabi et al., 2011). Then, the OWA method was used to overlay the effective criteria. The weighted average method is a sequence of multivariate functions which consists of two groups: standard weights and ordered weights. Subsequently, to prioritize suitable sites, they were ranked by the fuzzy TOPSIS method concerning the fourth scenario as an example. The basis of the fuzzy TOPSIS method is to choose an option that has the least distance from the ideal positive solution and the maximum distance from the ideal negative one (Asgharpour, 2006; Moeineddin et al., 2010). Finally, the proximity coefficient of each option is obtained by considering the positive and negative ideal points according to the following equation:
 
Results: By studying environmental and health guidelines as well as the status of the target area, a suitable landfill site was selected and determined according to their 12 effective criteria. The weights assigned to each of the criteria effective in locating was calculated by the AHP method. These weights showed that groundwater depth and distance from wells and springs and agricultural areas are the most important criteria and distance from roads industrial areas have are the least important criteria in locating solid waste landfills in Kashan, respectively. After standardizing the information layers according to fuzzy logic, the OWA method was used to choice choose the appropriate landfill sites according to seven scenarios with different degrees of risk. Prioritization of the three suitable locations based on the fourth scenario corresponding to the weighted linear combination was done through the fuzzy TOPSIS method. The results showed the preference of site three over the other two ones. The final location map was based on different scenarios and in this study, the fuzzy TOPSIS method was used to rank the appropriate areas. In this study, the ranking of suitable areas was considered in the fourth scenario, which corresponds to the linear combination method.
Discussion and Conclusion: The importance of groundwater depth and distance from wells and spring compared to other factors indicate the possible role of landfills in the contamination of water resources. In this study, the weighted averaging method was used to select the appropriate landfill for solid wastes. One of the most important features of this method is its degree of risk-taking which has a high ability to solve complex decision-making problems. In addition to its ability in identifying suitable locations for sanitary landfills, the OWA method also prioritizes options with varying degrees of risk. The methods used in this study could be applied to similar cases that need to be decided on environmental issues and water resources, but it should be noted that the criteria and their boundaries are influenced by problems and conditions in each area. Also, the existence of suitable locations for the sanitary landfill in Kashan is a good opportunity for the municipality or related entities to consider landfilling of solid waste in these areas, taking into account their social, political, economic, cultural, and environmental conditions, while taking action to avoid the current complications of solid waste.

کلیدواژه‌ها [English]

  • Municipal Solid Waste
  • multi-criteria decision making
  • Site Selection
  • Solid Waste
  • Ordered Weighted Average
  • TOPSIS Fuzzy
  • Kashan
1. Afzali, A., Mirghafari, N. and Sofianian, A., 2013. Application of Geographic Information System and AHP in landfill site selection (Case Study: Najaf Abad). Applied ecology 2, 27-37. 2. Afzali, A. and Faghihi Zarandi, A., 2019. Feasibility Study of Khomeini Solid Waste Landfill and Adjacent City Using Fuzzy Logic and AHP. Seince and Environment Technology , 21 (1). 3. Asgharpour, M.J., 2006. Multiple Criteria Decision Making. 5th Edition, University Tehran Press, pp. 399. 4. Boloki, Z., 2011. Studing and Comparing the Fuzzy VIKOR method with the Fuzzy TOPSIS method in Selecting The Construction Project Manager (case study: Karaj Municipality Construction Projects). Master Thesis, Imam Khomeini International University. 5. Bozorgmehr., K., Hakimdost., Y., Porzidi., A. and Seidi ., Z., 2014. Landfill site selection using AHP and GIS (case study: Tonekabon city). Journal of geographic information 23, 91. 6. Chitsazan, M., Dehghani, F., Rastmanesh, F. and Mirzaei, Y., 2013. Landfill Site Selection using Spatial Information Technologies and Fuzzy-AHP (case study: Ramhormoz). Journal of GIS and Natural Resoureces, 4 (1). 7. Ghased Rahmati, Z., Vosoughi Niri, N., Goudarzi, Gh. and Babaei, Z., 2016. Landfill Site Selection using GIS and AHP a case study: Behbahan, Iran, 21 (1), pp. 111- 118. 8. Chen, C.T., 2000. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 114 (1), 1-9. 9. Ghayorsalanghoch., M., 2011. Landfill site selection Quchan city. Assessment of environmental pollution and feasibility of removing contaminants in the current Landfill area. Master thesis in Ferdosi university. 10. Gorsevski, Pece V., 2012. Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average. Waste Management , 2(32), pp. 282-266. 11. Hadiani, Z., Ahadnejad, M., Kazemi Zadeh, Sh. and Shahali, A., 2012. Site Selection of Municipal Solid Waste Landfill Centers by Using Fuzzy Logic in GIS (Case Study: Zanjan City), Geographic Space, 12(40), pp. 116-133. 12. Hanineh, M., Omar, B., Abderafei, M., Abdesadek, T. and Tarik, A., 2016, Decision Making Under Uncertainty Using PESS-Fuzzy Ahp-FUZZY Topsis Methodology For Landfill Location Selection. Environment System And Decision, 36, pp, 351-367. 13. Heidarian, P., Rangzan, K., Maleki, S., Taghizadeh, A., and Azizi, S., 2014. Landfill site selection using fuzzy-AHP and TOPSIS in GIS (case study: Pakdasht city), Health magazine, 1-13. 14. Jalalian, H. and Dadgar, H., 2013. Landfill site selection of rural solid waste (Case study: Ghale Dareh, Maku city). Space Economics and Rural Development 6, 101- 119. 15. Jozi., A., Safarian, SH. and SHafiee, M., 2014. Using multi criteria decision making analysis in environmental studies of Tehran. Iranian Agricultural Science, First Edition: Bahar Publishing. 16. Karimzade Motlagh, Z. and Hossein Sayadi, S., 2015. Sitting MSW landfills MCE Metothology. Waste Management Journal, 25, pp. 818- 832. 17. Malczewski, J., 1999. GIS and Multicriteria Decision Analysis. John Wiely and sons, New York. USA. 18. Moeinodini, M., Khorasani, N., Danekar, A. and Darvishsefat, A., 2010. Landfill site slection using topsis fuzzy- AHP- (case study: Karaj city). Environment magazine 64, 154- 167. 19. Mohammadi, A., Mohammadi, A. and Aryaeefar, H., 2011. Introducing a new method to expand TOPSIS decision making model to fuzzy TOPSIS. Journal of Mathematics and Computer Science, 2, pp. 150-159. 20. Mokhtari, M., Hosseini, F. and Babaei, A., 2015. Using AHP and TOPSIS Mothods in Landfill site selection (Case Study: Lali City). Yazd School of Public Health 14. 143- 153. 21. Rahnama., M., Aghajani., H. and Ftahi., M., 2017. Landfill site selection by using OWA and GIS in Mashhad city. Geography and environmental hazards, 87-103. 22. Rajabi., M., Mansorian., A. and Talei., M. 2011. Comparison of multi criteria decision making AHP-OWA and FUZZY-AHP for site selection of residential complex in Tabriz city. Ecology 37, 77-92. 23. Rezaee, M. and Jamshidi Zanjani, A., 2017. Site Selection of Landfill by Using Fuzzy Logic Method and Multi-Criteria Decision Making (case study: Arak City). Modarres Civil Engineering, 17 (2), pp, 133- 141. 24. Salari, M., Moazed, H. and Radmanesh, F., 2012. Site selection for solid waste by GIS & AHP-FUZZY logic (case study: Shiraz city). Toolo -e- Behdashat 25. Samadi, M., 2010. Landfill site selection by using GIS, AHP and TOPSIS in Zanjan city, Second National Conference on Geographical, 17. 26. Sener, S., Sener, E., Nas, B. and Karagu, R., 2010. Combining AHP with GIS for landfill site selection: a case study in the Lake Beysehir catchment area (Konya, Turkey). Waste Manag, 30, pp. 2037–2046. 27. Siddiqui, M., Everett, J. and Vieux, B., 1996. Landfill Siting Using Geographic Information System: A Demonstration. Journal of Environmental, Engineering, 122 (6), pp. 515 -523. 28. Siti, A., Mohd, A., Mohd, Y. and Sohaib, K., 2017, Enhanced Fuzzy-OWA Model For Municipal Solid Waste Landfill Site Selection, Air Conference Proceeding. 29. Tavakoli, N., Sharifi., M. and Akram. A, 2017. Performnace Evaluation of the most Common Multi-Indexing Decision-Making in Ranking Effective Parameters in the Agility of the Cooperative Distribution Chain of Fars Province . Biosystem Engineering of Iran, 48 (3), pp. 299-308. 30. Yager, R., 1988. on ordered weighted averaging aggregation opereators in multi- criteria decision making. IEEE TRANSACTIONS ON Systems man and cybernetics, 1 (183), pp. 90-103.