شناسایی مناطق مستعد دفن زباله بر مبنای پارامترهای محیطی و اعمال مناطق ممنوعه (مطالعه موردی: شهرستان دالاهو)

جغرافیا و مخاطرات محیطی

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 17 مرداد 1404   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.22067/geoeh.2025.93006.1564

نویسندگان

سید اسداله حجازی^{* 1}؛ زهرا زنگنه تبار²

¹دانشیار گروه ژئومورفولوژی، دانشگاه تبریز ، تبریز، ایران

²دانشجوی دکتری ژئومورفولوژی، دانشگاه تبریز ، تبریز، ایران

چکیده

یکی از عوامل اصلی آلودگی و تخریب محیط­ زیست، زباله ­ها و پسماندهای خانگی و صنعتی هستند، بنابراین مکان­ یابی صحیح سایت­ های دفن زباله می­تواند نقش مهمی در کنترل و یا کاهش این آلودگی­ ها داشته باشد. با توجه به اهمیت موضوع، در این پژوهش به شناسایی مناطق مستعد دفن زباله در شهرستان دالاهو در استان کرمانشاه پرداخته شده است. این تحقیق با بهره‌گیری از روش‌های سنجش‌ازدوری و روش‌های تصمیم‌گیری چندمعیاره انجام شده است. مهم­ترین داده ­های مورد استفاده شامل تصاویر ماهواره­های MODIS، CHIRPS و گوگل ارث، نقشه­ های زمین­ شناسی 1:00000 و مدل رقومی ارتفاعی 30 متر بوده است. در این تحقیق از نرم­افزارهای ArcGIS، IDRISI، Super Decisions و سامانه گوگل ارث انجین استفاده شده است. همچنین در این تحقیق از 10 پارامتر لیتولوژی، فاصله از گسل، ارتفاع، شیب، تراکم پوشش­گیاهی، میانگین بارش سالانه، فاصله از رودخانه، فاصله از جاده اصلی، فاصله از نقاط شهری و فاصله از نقاط روستایی و مدل­های ANP (به­ منظور وزن­ دهی به پارامترها) و WLC (به­ منظور ترکیب لایه­ های اطلاعاتی) به­ منظور شناسایی مناطق مستعد دفن زباله استفاده شده است. بر اساس نتایج حاصله، حدود 48 درصد از وسعت شهرستان دالاهو پتانسیل آلودگی و تخریب محیط­زیست بالایی دارند، بنابراین سایت­های دفن زباله باید به دور از این مناطق باشد. حدود 31 درصد از محدوده مطالعاتی نیز پتانسیل کمی جهت ایجاد سایت دفن زباله دارند. با توجه به موارد ذکر شده، تنها بخش کمی از شهرستان دالاهو که حدود 8 درصد از وسعت آن محسوب می ­شود از نظر پارامترهای مورد استفاده دارای پتانسیل نسبی جهت ایجاد سایت­های دفن زباله است.

کلیدواژه‌ها

تخریب زیست‌محیطی؛ دفن زباله؛ شهرستان دالاهو؛ WLC-ANP

مراجع

Abbasnezhad, J., Yarmoradi, Z., & Sarafrozeh, F. (2017). Site selection of waste disposal in Maku city By Fuzzy and Boolean. Geographical Planning of Space, 7(24), 87-98. [In Persian] https://gps.gu.ac.ir/article_50831.html?lang=en

Aghsaei, H., & Souri, B. (2017). Landfill Site Selection Using Spatial Information Technologies A Case Study in Sanandaj Municipality, Western Iran. Environmental Researches, 8(15), 215-229. [In Persian] https://dor.isc.ac/dor/20.1001.1.20089597.1396.8.15.25.1

Alkaradaghi, K., Salahalddin, S. A., Al-Ansari, N., Laue, J., & Chabuk, A. (2019). Landfill Site Selection Using MCDM Methods and GIS in the Sulaimaniyah Governorate, Iraq. Sustainability, 11(17). http://dx.doi.org/10.3390/su11174530

Bagherabadi, R. (2022). Locating the landfill in Sahneh county using GIS. Management of Natural Ecosystems, 2(1), 62-71. [In Persian] https://doi.org/10.22034/emj.2022.252721

Barakat, A., Hilali, A., El Baghdadi, M., & Touhami, F. (2017). Landfill site selection with GIS-based multi-criteria evaluation technique. A case study in Béni Mellal-Khouribga Region, Morocco. Environmental Earth Sciences, 76(12), 413. https://link.springer.com/article/10.1007%2Fs12665-017-6757-8

Celiker, M., Yıldız, O., & Koçer, N. N. (2019). Evaluating solid waste landfill site selection using multi-criteria decision analysis and geographic information systems in the city of Elazığ, Turkey. Pamukkale Üniversitesi Mühendislik Bilimleri DerGISi, 25(6), 683-691. http://dx.doi.org/10.5505/pajes.2018.70493

Chang, N. B., Parvathinathan, G., & Breeden, J. B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of Environmental Management, 87(1), 139-153. https://doi.org/10.1016/j.jenvman.2007.01.011

Dehghani Ghantghastani, M., & Javadizadeh, F. (2021). Landfill site selection using a hybrid system of AHP in GIS environment: A case study in Sirik city. Geography (Regional Planning), 10(41), 247-257. [In Persian] https://dor.isc.ac/dor/20.1001.1.22286462.1399.11.1.15.9

Emadodin, S., Farzaneh, F., Arekhi, S., & Sayyad Salar, Y. (2020). Landfill Site Selection for Municipal Waste Materials using Analytic Hierarchy Process and Artificial Neural Networks (Case study: Gorgan City). Journal of Geography and Environmental Hazards, 9(2), 187-205. [In Persian] https://doi.org/10.22067/geo.v9i2.86496

Ganjaeian, H. (2020). Geomorphological hazards of urban areas, study methods and control strategies. Tehran: Entekhab Publication. [In Persian]

Ganjaeian, H. (2024). Analysis of the Tectonic Status of the Northwestern Zagros Anticlines and its Relationship with Seismic Centers. Journal of Geography and Environmental Hazards, 12(4), 275-290. [In Persian] https://doi.org/10.22067/geoeh.2022.75370.1182

Ganjaeian, H., Rezaei Arefi, M., Peysoozi, T., Emami, K. (2021). Zonning susceptible areas of landslide using WLC and OWA methods -A case study in Mountain cliff Khan, Iran. Sustainable Earth Trends, 1(2), 35-43. https://doi.org/10.52547/sustainearth.1.2.43

Ganjaeian, H., Yamani, M., Goorabi, A., & Maghsoudi, M. (2021). Adaptation of Morphotectonic Indices with Seismic Centers in Zagros Northwest (Sirvan and Qarahsu Basins). Geography and Environmental Planning, 31(4), 113-130. [In Persian] https://doi.org/10.22108/gep.2021.124247.1335

Ganjaeian, H., Yamani, M., Goorabi, A., & Maghsoudi, M. (2023). Estimation of land surface displacement in Kermanshah plain and effect of earthquake Ezgele on displacement process using SBAS method. Quantitative Geomorphological Research, 12(1), 1-13. [In Persian] https://doi.org/10.22034/gmpj.2021.141038

Hejazi, S. A. (2016). Landfill Site Selection Using Spatial Information Technologies and AHP: A Case Study of Marageh, Iran. Journal of Geography and Planning, 19(54), 105-125. [In Persian] https://geoplanning.tabrizu.ac.ir/article_4471.html?lang=en

Hereher, M. E., Al-Awadhi, T., & Mansour, S. A. (2020). Assessment of the optimized sanitary landfill sites in Muscat, Oman. Egyptian Journal of Remote Sensing and Space Science, 23(3), 355-362. https://doi.org/10.1016/j.ejrs.2019.08.001

Liang, Z., Tu, X., Liu, H., Zhang, K., Pan, Q., He, X., ... & Sang, Y. (2025). Occurrence of volatile and semi-volatile organic compounds in solid waste landfills and their pollution risk to groundwater. Journal of Hazardous Materials, 488, 137456. https://doi.org/10.1016/j.jhazmat.2025.137456

Maghsoudi, M., Ganjaeian, H., Talari, A., & Amani, K. (2016). Evaluation of the Contributing Factors in Development and Zoning Karst in Palangan Zone by Using Fuzzy Logic and ANP. Open Journal of Geology, 6, 468-483. http://dx.doi.org/10.4236/ojg.2016.66039

Mainul, M. D., Ajim, A., & Ateeque, A. (2020). Optimal Sanitary Landfill Site Selection for Solid Waste Disposal in Durgapur City Using Geographic Information System and Multicriteria Evaluation Technique. Journal of Cartography and Geographic Information, 70, 163– 180. http://dx.doi.org/10.1007/s42489-020-00052-1

Mallick, J. (2021). Municipal Solid Waste Landfill Site Selection Based on Fuzzy-AHP and Geoinformation Techniques in Asir Region Saudi Arabia. Sustainability, 13, 1-29. https://doi.org/10.3390/su13031538

Mitab, B. T., Hamdoon, R. M., & Say, K. N. (2023). Assessing Potential Landfill Sites Using GIS and Remote Sensing Techniques: A Case Study in Kirkuk, Iraq. International Journal of Design & Nature and Ecodynamics, 18(3), 643-652. https://doi.org/10.18280/ijdne.180316

Mohammahkhan, S., Ganjaeian, H., Shahri, S., & Abbaszade, A. (2019). Predicting the trend of urban development toward hazardous areas using multi temporal images (Case Study: Marivan City). Scientific- Research Quarterly of Geographical Data (SEPEHR), 28(110), 107-117. [In Persian]  https://doi.org/10.22131/sepehr.2019.36615

Nayyeri, H., Ganjaeian, H., & Amani, K. (2018). Evaluation of Environmental Indicator of Perimeters of the Land Suitability for the Development of the Sarvabad City by Combining Two Models of Network Analysis and Fuzzy Logic. Journal of Urban Social Geography, 5(1), 49-62. [In Persian] https://doi.org/10.22103/JUSG.2018.1961

Nayyeri, H., Salari, M., Ganjaeian, H., & Amani, K. (2017). Geomorphological Assessment of Land Suitability for the Physical Expansion of Sanandaj City Applying Restricted Areas. Geographical Urban Planning Research (GUPR), 5(1), 127-145. [In Persian] https://doi.org/10.22059/jurbangeo.2017.63213

Negahban, S., Ganjaeian, H., Ebrahimi, A., & Emami, K. (2019). Monitoring and predicting the trend of changes in residential areas using multi-timed images (Case study: Songhor city). Journal of the Earth and Space Physics, 45(2), 343-354. [In Persian] https://doi.org/10.22059/jesphys.2019.275076.1007084

Negahban, S., Ganjaeian, H., Ebrahimi, A., & Gheysarian, S. S. (2025). Analysis of the Roles of Environmental Factors in the Occurrence of Floods Using the Google Earth Engine System (Case Study: West of Golestan Province). Geography and Environmental Planning, 35(4), 1-18. [In Persian] https://doi.org/10.22108/gep.2024.142342.1659

Negahban, S., Ganjaeian, H., Feraydooni Kordestani, M., & Cheshmeh sefidi, Z. (2019). Assessing the physical development of cities and extending to geomorphological prohibited areas Using LCM (Case Study: Sanandaj City). Journal of Natural Environmental Hazards, 8(20), 39-52. [In Persian] https://doi.org/10.22111/jneh.2018.21943.1317

Nikzada, V., Amiri, M. J., Moarab, Y., & Foroughi, N. (2017). Using Fuzzy Logic Analysis and Fuzzy ANP (FANP) Method in GIS for Landfill Site Selection (Case Study: Aliabad City). Journal of Geography and Environmental Hazards, 6(1), 67-87. [In Persian] https://doi.org/10.22067/geo.v6i1.47944

Pireh, M., Ghadimi, M., & Ganjaeian, H. (2024). Identification of Vulnerable Karst Areas Using the COP Model (Case Study: Tekab Basin). Geography and Environmental Planning, 35(3), 95-112. [In Persian] https://doi.org/10.22108/gep.2024.141035.1640

Rezapour, A., & Deymevar, S. (2024). Waste disposal site location allocation using GIS and fuzzy overlay method (Case study: Birjand county). Integrated Watershed Management, 4(3), 83-104. [In Persian] https://doi.org/10.22034/iwm.2024.2024112.1140

Roy, D., Das, S., Paul, S. S., & Pau, S. (2022). An assessment of suitable landfill site selection for municipal solid waste management by GIS-based MCDA technique in Siliguri municipal corporation planning area, West Bengal, India. Computational Urban Science, 2(18), 1-19. https://doi.org/10.1007/s43762-022-00038-x

Safari Namivandi, M., Ganjaeian, H., Nosrati, M., & Mohammadian, K. (2024). Identification of flooded areas and analysis of factors influencing its occurrence (Case study: Southeast of Sistan and Baluchestan province). Quantitative Geomorphological Research, 13(2), 181-194. [In Persian] https://doi.org/10.22034/gmpj.2024.449586.1494

Salari, M., Nayeri, H., Amani, K., & Ganjaeian, H. (2017). Locating Suitable Directions for Kamyaran Urban Development through a Hazardology Approach based on the Application of Geomorphologically Restricted Areas. Environmental Management Hazards, 4(4), 419-436. [In Persian] https://doi.org/10.22059/jhsci.2018.252694.341

Salari, M., Nayyeri, H., Ganjaeian, H., & Amani, K. (2020). Assessment and Prediction of the process of expansion of residential areas with Geomorphological Approach and Environmental Management (Case Study: Paveh City). Quantitative Geomorphological Research, 9(1), 86-101. [In Persian] https://www.geomorphologyjournal.ir/article_109536_en.html

Soltani, A., Hewage, K., Reza, B., & Sadiq, R. (2015). Multiple stakeholders in multi-criteria decision-making in the context of Municipal Solid Waste Management: A review. Waste Management, 35, 318-328. https://doi.org/10.1016/j.wasman.2014.09.010

Tabesh, S., Noori Khanyourdi, M., Dousti, M., & Ganjaeain, H. (2020). Presenting the proposed model for the location of sports places using the integrated model of WLC and AHP. Sport Management and Development, 9(1), 2-22. [In Persian] https://doi.org/10.22124/jsmd.2020.4096

Wu, T. H., Chen, C. Y., Huang, S. W., & Yu, T. T. (2025). An integrated decision framework for landfill mining site selection using GIS, multi-criteria analysis, and optimization models. Socio-Economic Planning Sciences, 99, 102220. https://doi.org/10.1016/j.seps.2025.102220