• صفحه اصلی
  • استفاده از مدل های تصمیم گیری چند معیاره بر پایه سیستم های اطلاعات جغرافیایی در مکان یابی محل دفع پسماندهای خطرناک (مطالعه موردی: استان بوشهر)

اشتراک گذاری

آدرس مقاله


کد مقاله : JEST-1812-4500 (R2) بازدید : 135 صفحه: 87 - 101

10.30495/jest.2021.40769.4500

نوع مقاله: پژوهشی

استفاده از مدل های تصمیم گیری چند معیاره بر پایه سیستم های اطلاعات جغرافیایی در مکان یابی محل دفع پسماندهای خطرناک (مطالعه موردی: استان بوشهر)

محورهای موضوعی : پسماند

غزاله دانش 1 , سید مسعود منوری 2 , قاسم علی عمرانی 3 , عبرالرضا کرباسی 4 , فروغ فرساد 5

1 - دانشجوی دکتری محیط زیست، گروه علوم زیست محیطی، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
2 - استادیار، گروه علوم زیست محیطی، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران. *(مسوول مکاتبات)
3 - استاد، گروه علوم زیست محیطی، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
4 - دانشیار، گروه محیط زیست، دانشکده محیط زیست، دانشگاه تهران، تهران، ایران.
5 - استادیار، گروه علوم زیست محیطی، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.

تاریخ دریافت : 1397/09/10 تاریخ پذیرش : 1398/01/21 تاریخ انتشار : 1400/03/01

کلید واژه: ANP, پسماند خطرناک, بوشهر, WLC, مکان یابی محل دفع,

چکیده مقاله :

زمینه و هدف: امروزه به دلیل گسترش شهرها و مناطق صنعتی مقادیر زیادی از مواد صنعتی و خطرناک تولید می شود که به منظور جلوگیری از اثرات دراز مدت و خطرناک آن بر جوامع انسانی و محیط زیست، انتخاب بهترین محل برای این پسماندها را به عنوان مهمترین اقدام مدیریتی تبدیل به یکی از مهمترین و پیچیده ترین تصمیم گیری ها در مدیریت شهری کرده است. در این راستا استان بوشهر به دلیل وجود واحدهای صنعتی متعدد به ویژه پالایشگاه ها نیاز به راهکاری مدیریتی در مورد پسماندهای خطرناک دارد. پیدا کردن محلی بهینه با استفاده از مدل های تصمیم گیری چند معیاره بر پایه سیستم های اطلاعات جغرافیایی که هم دارای کمترین خطرات زیست محیطی بوده و هم از لحاظ اقتصادی بهینه باشد، هدف اصلی این مقاله است.روش بررسی: در این تحقیق از 24 پارامتر برای تجزیه و تحلیل مکانیابی محل دفع پسماند خطرناک در استان بوشهر که بر اساس روش دلفی انتخاب گردیدند، استفاده شد. معیارهای انتخابی به دو دسته اکولوژیکی و اقتصادی اجتماعی تقسیم شده و از روش ANP جهت وزن دهی به معیارها استفاده شد. در مرحله نهایی مکان های مناسب برای مکانیابی بر مبنای روش WLC مبتنی برGIS مشخص شدند.یافته ها: نتایج نشان داد که معیارهای اکولوژیکی بیشترین امتیاز (34/61 درصد) را آورده اند و کاربری اراضی هم بیشترین وزن (27/0) و تبخیر کمترین وزن (0017/0) را داشته است. همچنین 13/6 درصد از سطح استان دارای توان خیلی زیاد و 7/17% از سطح مطقه کاملاً نامناسب برای دفع پسماند های خطرناک شناسایی شده است.بحث و نتیجه گیری: نتایج این مطالعه اهمیت و وزن قابل توجه معیارهای زیست محیطی در اولویت بندی مناطق پیشنهادی دفع این نوع از پسماند‍ها در استان بوشهر را بیان داشته و کارایی مدل به کار رفته در تلفیق GIS و MCDM را نشان داده است.

چکیده انگلیسی:

Background and Objective: Todays, due to the expansion of cities, large quantities of industrial and hazardous materials are produced, which, in order to prevent its long-term and dangerous effects on human and environmental communities, selecting the best site for these wastes has become one of the complex decisions in urban management action. Because of numerous industrial units, especially refineries, in Bushehr province, it is essential to find a management solution for hazardous wastes of this province. Finding the optimal location using multi-criteria decision models based on GIS that has both the lowest environmental risks and economically optimal, is the main goal of this article.Method: In this study, 24 parameters were used to analyze the selection of hazardous waste disposal sites based on the Delphi method in Bushehr province. Selected criteria were divided into two ecological and economic categories and ANP method was used to weight the criteria. At the final stage, suitable sites for these wastes were determined based on the GIS-based WLC method. Findings: The results showed that ecological criteria had the highest score (61/34%) and land use had the highest weight (0/27) and evaporation of the lowest weight (0/0017). Also, 6/13% of the province has a very high potential and 17/7% of the surface area is completely inappropriate for the disposal of hazardous wastes.Discussion and Conclusion: Study results highlighted the importance and significant weight of environmental criteria in prioritizing the proposed areas for hazardous disposal in Bushehr province, and has shown the model's efficiency in integrating GIS and MCDM.

منابع و مأخذ:



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  1. Babalola, A. and Busu, I., 2011. Selection of landfill sites for solid waste treatment in Damaturu Town-using GIS techniques. Journal of Environmental Protection. 2(01): 1-10.
    2.
  2. Khan, D. and Samadder, S.R., 2014. Municipal solid waste management using Geographical Information System aided methods: A mini review. Waste Management & Research. 32(11): 1049-1062.
    3.
  3. Berisa, G. and Birhanu, Y., 2015. Municipal Solid Waste Disposal Site Selection of Jigjiga Town Using GIS and Remote Sensing Techniques, Ethiopia. International Journal of Scientific and Research Publications. 5(4): 17pp.
    4.
  4. Soroudi, M., Omrani, G., Moataar, F., Jozi, S.A. 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.
    5.
  5. Nouri, N., Poorhashemi, S.A., Monavari, S., Dabiri, F. and Hassani, A.H., 2011. Legal criteria and executive standards of solid waste disposal subjected to solid waste management act. Int. J. Environ. Res. 5(4): 971-980.
    6.
  6. Gorsevski, P.V., Donevska, K.R., Mitrovski, C.D. and Frizado, J.P., 2012. Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: a case study using ordered weighted average. Waste management. 32(2): 287-296.
    7.
  7. EPA. 2016. Environmental Guidelines Solid waste landfills. NSW Environment Protection Authority (EPA), Second edition, Report pollution and environmental incidents, 95 pp. www.epa.nsw.gov.au
    8.
  8. Nishanth, T., Prakash, M.N. and Vijith, H., 2010. Suitable site determination for urban solid waste disposal using GIS and Remote sensing techniques in Kottayam Municipality, India. International Journal of Geomatics and Geosciences. 1(2): 197-210.
    9.
  9. Hatami-Marbini, A., Tavana, M., Moradi, M. and Kangi, F., 2013. A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities. Safety science. 51(1): 414-426.
    10.
  10. De Feo, G. and De Gisi, S., 2014. Using MCDA and GIS for hazardous waste landfill siting considering land scarcity for waste disposal. Waste management, 34(11): 2225-2238.
    11.
  11. Hanine, M., Boutkhoum, O., Tikniouine, A. and Agouti, T., 2016. Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection. SpringerPlus. 5(501), 30pp.
    12.
  12. Saaty, T.L. 1996. Decision making with dependence and feedback: Analytic network process. Organization and Prioritization of Complexity. Pittsburgh: RWS Publications. 370 p.
    13.
  13. 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.
    14.
  14. Khan, S. and Faisal, M.N., 2008. An analytic network process model for municipal solid waste disposal options. Waste management. 28(9): 1500-1508.
    15.
  15. Afzali, A., Sabri, S., Rashid, M., Samani, J.M.V., Ludin, A.N.M., 2014. Inter-municipal landfill site selection using analytic network process. Water resources management. 28(8): 2179-2194.
    16.
  16. Eskandari, M., Homaee, M. and Mahmodi, S., 2012. An integrated multi criteria approach for landfill siting in a conflicting environmental, economical and socio-cultural area. Waste Management. 32(8): 1528-1538.
    17.
  17. Gbanie, S.P., Tengbe, P.B., Momoh, J.S., Medo, J. and 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.
    18.
  18. Moeinaddini, M., Khorasani, N., Danehkar, A. and Darvishsefat, A.A., 2010. Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste management. 30(5): 912-920.
    19.
  19. Eskandari, M., Homaee, M., Mahmoodi, S., Pazira, E. and Van Genuchten, M.T., 2015. Optimizing landfill site selection by using land classification maps. Environmental Science and Pollution Research. 22(10): 7754-7765.
    20.
  20. Tavares, G., Zsigraiová, Z. and Semiao, V., 2011. Multi-criteria GIS-based siting of an incineration plant for municipal solid waste. Waste management. 31(9-10). 1960-1972.
    21.
  21. Hashemi, M., Pourzamani, H.R., Fadaei, S., Heidari, F., Safa, G., Parseh, I., Mohammadi, H. and Parastar, S., 2016. Locating industrial landfill using analytical hierarchy process (AHP) (Case study: Natanz-Isfahan industrial suburbs). Journal of Advances in Environmental Health Research. 4(4): 182-189.
    22.
  22. Demesouka, O.E., Vavatsikos, A.P. and Anagnostopoulos, K.P., 2013. Suitability analysis for siting MSW landfills and its multicriteria spatial decision support system: method, implementation and case study. Waste management. 33(5): 1190-1206.
    23.
  23. Arıkan, E., Şimşit-Kalender, Z.T. and Vayvay, Ö., 2017. Solid waste disposal methodology selection using multi-criteria decision making methods and an application in Turkey. Journal of Cleaner Production. 142: 403-412.
    24.
  24. Aragonés-Beltrán, P., Pastor-Ferrando, J.P., García-García, F. and Pascual-Agulló, A., 2010. An analytic network process approach for siting a municipal solid waste plant in the metropolitan area of Valencia (Spain). Journal of Environmental Management. 91(5): 1071-1086.
    25.
  25. Banar, M., Kose, B.M., Ozkan, A. and Acar, I.P., 2007. Choosing a municipal landfill site by analytic network process. Environmental­ Geology.  52 (4): 747-751.
    26.
  26. Isalou, A.A., Zamani, V., Shahmoradi, B. and Alizadeh, H., 2013. Landfill site selection using integrated fuzzy logic and analytic network process (F-ANP). Environmental Earth Sciences. 68(6): 1745-1755.
    27.
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    28.
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    30.
  30. Sharifi, M., Hadidi, M., Vessali, E., Mosstafakhani, P., Taheri, K., Shahoie, S. and Khodamoradpour, M., 2009. Integrating multi-criteria decision analysis for a GIS-based hazardous waste landfill sitting in Kurdistan Province, western Iran. Waste management. 29(10): 2740-2758.
    31.
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    32.
  32. Younes, M.K., Basri, N.E., Nopiah, Z.M., Basri, H. and Abushammala, M.F., 2015. Use of a combination of MRSS-ANP for making an innovative landfill siting decision model. Mathematical Problems in Engineering, 13pp.
    33.
  33. Saaty, T.L., Vargas, L.G. 2006. Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks. Springer; Softcover reprint of hardcover 1st edition.  RWS Publications.
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  34. Syed Ismail, S.N. 2017. Landfill Site Selection Model Using an Integrated Approach of GIS and Multi Criteria Decision Analysis (MCDA): Example of Selangor, Malaysia. Asian Journal of Earth Sciences. 10(1): 1-8.
    35.


 
 

 

 

_||_


  1. Babalola, A. and Busu, I., 2011. Selection of landfill sites for solid waste treatment in Damaturu Town-using GIS techniques. Journal of Environmental Protection. 2(01): 1-10.
    2.
  2. Khan, D. and Samadder, S.R., 2014. Municipal solid waste management using Geographical Information System aided methods: A mini review. Waste Management & Research. 32(11): 1049-1062.
    3.
  3. Berisa, G. and Birhanu, Y., 2015. Municipal Solid Waste Disposal Site Selection of Jigjiga Town Using GIS and Remote Sensing Techniques, Ethiopia. International Journal of Scientific and Research Publications. 5(4): 17pp.
    4.
  4. Soroudi, M., Omrani, G., Moataar, F., Jozi, S.A. 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.
    5.
  5. Nouri, N., Poorhashemi, S.A., Monavari, S., Dabiri, F. and Hassani, A.H., 2011. Legal criteria and executive standards of solid waste disposal subjected to solid waste management act. Int. J. Environ. Res. 5(4): 971-980.
    6.
  6. Gorsevski, P.V., Donevska, K.R., Mitrovski, C.D. and Frizado, J.P., 2012. Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: a case study using ordered weighted average. Waste management. 32(2): 287-296.
    7.
  7. EPA. 2016. Environmental Guidelines Solid waste landfills. NSW Environment Protection Authority (EPA), Second edition, Report pollution and environmental incidents, 95 pp. www.epa.nsw.gov.au
    8.
  8. Nishanth, T., Prakash, M.N. and Vijith, H., 2010. Suitable site determination for urban solid waste disposal using GIS and Remote sensing techniques in Kottayam Municipality, India. International Journal of Geomatics and Geosciences. 1(2): 197-210.
    9.
  9. Hatami-Marbini, A., Tavana, M., Moradi, M. and Kangi, F., 2013. A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities. Safety science. 51(1): 414-426.
    10.
  10. De Feo, G. and De Gisi, S., 2014. Using MCDA and GIS for hazardous waste landfill siting considering land scarcity for waste disposal. Waste management, 34(11): 2225-2238.
    11.
  11. Hanine, M., Boutkhoum, O., Tikniouine, A. and Agouti, T., 2016. Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection. SpringerPlus. 5(501), 30pp.
    12.
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