• الصفحة الرئيسية
  • مقایسه مدل‌های TOPSIS، SAW، ELECTRE و VIKOR به منظور بررسی اولویت فرسایش‌پذیری و سیل‌خیزی زیرحوزه‌های آبخیز

شارک

عنوان URL للمقالة


رقم المقالة : JEST-1906-4731 (R4) زيارة : 135 الصفحة: 79 - 99

10.30495/jest.2022.45404.4731

نوع المخطوط: ابحاث

مقایسه مدل‌های TOPSIS، SAW، ELECTRE و VIKOR به منظور بررسی اولویت فرسایش‌پذیری و سیل‌خیزی زیرحوزه‌های آبخیز

الموضوعات :

مهدی تیموری 1 , احسان الوندی 2

1 - استادیار مجتمع آموزش عالی شیروان.
2 - فارغ‌التحصیل دکتری علوم و مهندسی آبخیزداری، دانشگاه علوم کشاورزی و منابع طبیعی گرگان.  (مسوول مکاتبات)

تاريخ الإرسال : 06 الأحد , شوال, 1440 تاريخ التأكيد : 18 الإثنين , جمادى الأولى, 1441 تاريخ الإصدار : 20 الخميس , رمضان, 1443

الکلمات المفتاحية: روش‌های تصمیم گیری چند معیاره, حوضه رودخانه حبله رود, سیل‌خیزی, فرسایش پذیری,

ملخص المقالة :

زمینه و هدف: تعیین مناطق مولد سیل و اولویت بندی زیرحوضه ها از نظر قابلیت سیل خیزی و رسوب زایی می تواند در مدیریت بهتر حوزه آبخیز نقش مهمی داشته باشد. بدین منظور هدف این تحقیق اولویت بندی قابلیت سیل خیزی و رسوب زایی زیرحوزه های آبخیز بنکوه با استفاده از روش های تصمیم گیری چند معیاره TOPSIS، SAW، ELECTRE و VIKOR بود. مواد و روش ها: در مطالعه حاضر شاخص های ارزیابی مساحت، ارتفاع متوسط حوضه، تراکم زهکشی، شماره منحنی، درصد پوشش، تولید رسوب، ضریب گراولیوس، نسبت تحویل رسوب، شیب متوسط حوضه، ارتفاع رواناب و زمان تمرکز استفاده شد. سپس با استفاده از روش AHP وزن هریک از شاخص ها برآورده شده است. در ادامه پس از تشکیل ماتریس تصمیم با 18 گزینه (زیرحوضه) و 11 معیار(شاخص ارزیابی) به منظور اولویت بندی زیر حوضه ها از فنون TOPSIS، SAW، ELECTRE و VIKOR استفاده شد. به منظور تلفیق رتبه فنون پیشنهادی از روش های بردا و کپ لند استفاده شد. از روش مجموع مربعات خطا (RSS)، برای تعیین نزدیک ترین روش به نتیجه نهایی استفاده شد. همچنین به منظور اعتبارسنجی مدل ها به برآورد درصد تغییرات و شدت تغییرات پرداخته شد. یافته ها: نتایج نشان داد، شاخص ارتفاع رواناب بیشترین وزن (18/0) و شاخص ضریب گراولیوس کمترین وزن (028/0) را از نظر کارشناسان به خود اختصاص داده است. نتایج اولویت بندی نشان داد، در روش های SAW، TOPSIS و VIKOR زیرحوضه های 9، 4 و 2 اولویت های اول تا سوم را به خود اختصاص داده اند و در حالت بحرانی تری قرار دارند، اما در روش ELECTRE زیر حوضه های 9، 4، 2 و 7 در حالت بحرانی تری قرار گرفته اند. با توجه به نتایج حاصل از تلفیق رتبه فنون پیشنهادی، زیرحوضه های 9، 4 و 2 به ترتیب در اولویت های اول تا سوم قرار دارند و از وضعیت بحرانی تری نسبت به بقیه زیرحوضه ها برخوردار هسستند. مطالعات میدانی نتایج تحقیق را به خوبی نشان می دهد، چرا که زیر حوضه 9، 4 و 2 دارای بیشترین حد فرسایش، شیب زیاد و بارندگی شدید هستند. همچنین پهنه های دارای قابلیت سیل خیزی و رسوب زایی در منطقه نشان داد که 32% منطقه در خطر زیاد و خیلی زیاد قرار دارند. نتایج مجموع مربعات خطا نشان داد، روش VIKOR کمترین خطا و روش ELECTRE بیشترین خطا را نسبت به رتبه بندی نهایی دارا است. همچنین روش های TOPSISوVIKOR با کمترین درصد تغییرات (72/59 درصد) در رتبه اول و روش ELECTRE با بیشترین درصد تغییرات (27/65 درصد) در رتبه آخر قرار دارند. کمترین شدت تغییرات نیز در روش VIKOR (59/4) و بیشترین مقدار شدت تغییرات در روش ELECTRE (61/5) مشاهده شد. بحث و نتیجه‌گیری: فنون تصمیم گیری چند معیاره، یک رویکرد عملی و مناسب برای تصمیم گیری بهتر بر مبنای علوم ریاضیات و بهینه سازی هستند. بنابراین می توان گفت به منظور مدیریت زیر حوضه ها از نظر اجرای عملیات زیستی و سازه ای کنترل سیل با چند تابع هدف و با توجه به عملیات پرهزینه آبخیزداری، می توان از روش های تصمیم گیری چند معیاره استفاده کرد تا اولویت بندی بر اساس یک منطق ریاضی انجام گیرد.

المصادر:


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_||_

  1. Rao, L.A.K. Rehman, A.Z. and Alia, Y. 2011. Morphometric analysis of drainage basin using remote sensing and GIS techniques: a case study of Etmadpur Tehsil, Agra District, U.P. International Journal of Research in Chemistry and Environment. 1(2): 36-45.
    2.
  2. Nkwunonwo, U.C., Whitworth, M., and Baily, B. 2015. A Review and critical analysis of the efforts towards urban flood reduction in the lagos region of Nigeria, Nat., Hazards Earth Syst., Sci. Discuss. PP. 3897-3923.
    3.
  3. Wang, G. Gertner, G., Fang, S., and Anderson, A.B. 2003. Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogrammetric Engineering and Remote Sensing. 69(8): 889- 898.
    4.
  4. Sarangi, A., C.A., Madramootoo, and C., Cox. 2004. A decision support system for soil and water conservation measures on agricultural watersheds. Land Degradation and Development. Land Degradation and Development, 15 (49:( 49-63
    5.
  5. Jang T, Vellidis G, Hyman JB, Brooks E, Kurkalova LA, Boll J, Cho     2013. Model   for Prioritizing      best management practice implementation: sediment    load    reduction. Environ. Manage.51. 209–224.
    6.
  6. Aher, P.D. Adinarayana, J. and Gorantivar, S.D. 2013. Prioritization of Watersheds using multi-criteria evaluation through fuzzy analytical hierarchy process. Agric Eng Int: CIGR Journal. 15(1): 11-18.
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  8. Parhizkar, A., A. Ghafarie gilande. 2006. GIS analysis and multi-criteria decision. Samt Publications. 597 pp.
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  9. Vivien, Y.C., P.L., Hui, H.L., Chui, J.H.L., James, H.T., Gwo, and S.Y., Lung. 2011. Fuzzy MCDM approach for selecting the best environment-watershed plan. Journal of Applied Soft Computing 11, 265–275.
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  10. Kaya, , C., Kahraman. 2011. Fuzzy multiple criteria forestry decision making based on an integratedVIKOR and AHP approach. Journal of Expert Systems with Applications 38, 7326–7333.
    11.
  11. Ahani Amineha, Z., Al-DinHashemian,J., Magholi, A. 2017. Integrating Spatial Multi Criteria Decision Making (SMCDM) with Geographic Information Systems (GIS) for delineation of the most suitable areas for aquifer storage and recovery (ASR). Journal of Hydrology, 551: 577-595.
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    13.
  13. Nitheshnirmal, S., Bhardwaj, A., Dineshkumar, C., and Abdul Rahaman, S. 2019. Prioritization of Erosion Prone Micro-Watersheds Using Morphometric Analysis coupled with Multi-Criteria Decision Making. Proceedings. 24(11):1-6.
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  14. Aouragh, H.M., Essahlaoui, A. 2018. A TOPSIS approach-based morphometric analysis for sub-watersheds prioritization of high Oum Er-Rbia basin, Morocco. Spat. Inf. Res. 26: 187–202.
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  15. Balasubramani, K., Gomathi, M., Bhaskaran, G., Kumaraswamy, K. 2019. GIS-based spatial multi-criteria approach for characterization and prioritization of micro-watersheds: A case study of semi-arid watershed, South India. Appl. Geomat. 1–19.
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  18. Aher P,   Adinarayana   J, Gorantiwar   2014. Quantification  of  morphometric characterization      and prioritization for management  planning  in  semi-arid  tropics  of India:  A  remote  sensing  and  GIS  approach. Journal of Hydrology. 511. 850-860.
    19.
  19. Chandrashekara, H., Lokeshb, K., Sameenac, M., roopad, J., and rangannae, G. 2015. GIS –Based Morphometric Analysis of Two Reservoir Catchments of Arkavati River, Ramanagaram District,    Aquatic Procedia, INTERNATIONAL CONFERENCE ON WATER RESOURCES,  COASTAL AND OCEAN ENGINEERING (ICWRCOE  2015), vol 4, pp. 1345 – 1353.
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  20. Arami, H., Alvandi, E., Forootan, M., Tahmasebipour, N., Karimi Sangchini, E. 2017. Prioritization of   watersheds   in   order   to   perform   administrative measures using fuzzy analytic hierarchy process, Journal of the Faculty of Forestry Istanbul University, 67(1): 13-21.
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