مقایسه روش‌های مختلف تصمیم‌گیری چند معیاره در اولویت‌بندی سیل‌خیزی زیرحوضه‌های آبخیز کشف‌رود

جغرافیا و مخاطرات محیطی

مقاله 7، دوره 13، شماره 4 - شماره پیاپی 52، دی 1403، صفحه 159-196   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.22067/geoeh.2024.88777.1498

نویسندگان

مریم زارع¹؛ محمود آذری^{* 2}؛ محسن رضائی عارفی³

¹دانشجوی کارشناسی ارشد علوم و مهندسی آبخیز، دانشگاه فردوسی مشهد، مشهد، ایران

²دانشیار گروه مرتع و آبخیزداری، دانشگاه فردوسی مشهد، مشهد، ایران

³گروه آموزش جغرافیا، دانشگاه فرهنگیان، تهران، ایران

چکیده

سیل یکی از رایج­ترین خطرات طبیعی است که هم زندگی و هم دارایی­های مردم را تحت تأثیر قرار می­دهد. تغییرات آب و هوایی اخیر باعث افزایش فراوانی و شدت سیل شده است. در چنین شرایطی شناسایی مناطق بالقوه خطر سیل برای کاهش خسارات ناشی از سیل بسیار مهم است. ازاین‌رو، این مطالعه با استفاده از شاخص­های مورفومتری و روش­های تصمیم‌گیری چند معیاره به دنبال شناسایی مناطق آسیب‌پذیر سیلاب در زیرحوضه­های حوضه آبخیز کشف رود است. بدین منظور 16 شاخص مورفومتری از DEM منطقه استخراج شد و سیل‌خیزی زیرحوضه­های مختلف با استفاده از 5 روش تصمیم­گیری چندمعیاره شامل AHP، ANP، VIKOR، TOPSIS و ELECTRE تعیین گردید و در پنج طبقه سیل­خیزی خیلی­­زیاد، زیاد، متوسط، کم و خیلی­­کم طبقه­بندی شد. نتایج روش­های مختلف تصمیم­گیری چندمعیاره با استفاده از همبستگی اسپیرمن و بررسی درصد تغییرات مورد ارزیابی قرار گرفت. درنهایت مشخص گردید روش ANP در تهیه نقشه سیل­خیزی حوضه دارای دقت بیشتری است و اختلاف معنی‌داری بین روش ANP،AHP و VIKOR با نقشه سیل­خیزی حوضه بر اساس داده­های مشاهداتی وجود ندارد. در بررسی درصد تغییرات نیز مشخص شد کمترین درصد تغییرات مربوط به روش ANP است. بر اساس نتایج این روش 3/24 درصد حوضه در طبقه سیل­خیزی خیلی زیاد و 7/25 درصد در طبقه زیاد قرار دارند و درمجموع بیش از 50 درصد حوضه در طبقه سیل­خیزی زیاد و خیلی زیاد قرار می­گیرند.

کلیدواژه‌ها

ارزیابی خطر سیل؛ تحلیل ریخت‌سنجی؛ تحلیل چندمعیاره؛ حوضه آبخیز کشف‌رود؛ خراسان رضوی؛ مدیریت و اولویت‌بندی حوضه آبخیز

مراجع

Aher, P. D., Adinarayana, J., & Gorantiwar, S. D. (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. https://doi.org/10.1016/j.jhydrol.2014.02.028

Ahmed, N., Hoque, M. A. A., Howlader, N., & Pradhan, B. (2022). Flood risk assessment: role of mitigation capacity in spatial flood risk mapping. Geocarto International, 37(25), 8394-8416. https://doi.org/10.1080/10106049.2021.2002422

Akay, H., & Baduna Koçyiğit, M. (2020). Flash flood potential prioritization of sub-basins in an ungauged basin in Turkey using traditional multi-criteria decision-making methods. Soft Computing, 24, 14251-14263. https://doi.org/10.1007/s00500-020-04792-0

Alam, A., Ahmed, B., & Sammonds, P. (2021). Flash flood susceptibility assessment using the parameters of drainage basin morphometry in SE Bangladesh. Quaternary International, 575, 295-307. https://doi.org/10.1016/j.quaint.2020.04.047

Al-Saady, Y. I., Al-Suhail, Q. A., Al-Tawash, B. S., & Othman, A. A. (2016). Drainage network extraction and morphometric analysis using remote sensing and GIS mapping techniques (Lesser Zab River Basin, Iraq and Iran). Environmental Earth Sciences, 75, 1243. https://doi.org/10.1007/s12665-016-6038-y

Aouragh, M. H., & Essahlaoui, A. (2018). A TOPSIS approach-based morphometric analysis for sub-watersheds prioritization of high Oum Er-Rbia basin, Morocco. Spatial Information Research, 26, 187-202. https://doi.org/10.1007/s41324-018-0169-z

Arab Ameri, A., Pour Ghasemi, H. R., Rezaei, K., & Sohrabi, M. (2019). Morphometric prioritization of watersheds for optimal water and soil resources management. Iranian Jouranl of Watershed Management Science, 13(45),87-96. [In Persian] http://dorl.net/dor/20.1001.1.20089554.1398.13.45.11.5

Bhat, M. S., Alam, A., Ahmad, S., Farooq, H., & Ahmad, B. (2019). Flood hazard assessment of upper Jhelum basin using morphometric parameters. Environmental Earth Sciences, 78, 1-17. https://doi.org/10.1007/s12665-019-8046-1

Bisht, S., Chaudhry, S., Sharma, S., & Soni, S. (2018). Assessment of flash flood vulnerability zonation through Geospatial technique in high altitude Himalayan watershed, Himachal Pradesh India. Remote Sensing Applications: Society and Environment, 12, 35-47. https://doi.org/10.1016/j.rsase.2018.09.001

Chandrashekar, H., Lokesh, K. V., Sameena, M., & Ranganna, G. (2015). GIS–based morphometric analysis of two reservoir catchments of Arkavati River, Ramanagaram District, Karnataka. Aquatic Procedia, 4, 1345-1353. https://doi.org/10.1016/j.aqpro.2015.02.175

Chaulagain, D., Rimal, P. R., Ngando, S. N., Nsafon, B. E. K., Suh, D., & Huh, J. S. (2023). Flood susceptibility mapping of Kathmandu metropolitan city using GIS-based multi-criteria decision analysis. Ecological Indicators, 154, 110653. https://doi.org/10.1016/j.ecolind.2023.110653

Chorley, R. J., Malm, D. E. G., & Pogorzelski, H. A. (1957). A New Standard for Estimating Drainage Basin Shape. American Journal Science, 255, 138-141. https://doi.org/10.2475/ajs.255.2.138

Christopher, O., Idowu, A., & Olugbenga, A. (2010). Hydrological analysis of Onitsha North East drainage Basin using geoinformatic techniques. World Applied Sciences Journal, 11(10), 1297-1302.

De Brito, M. M., Evers, M., & Almoradie, A. D. S. (2018). Participatory flood vulnerability assessment: a multi-criteria approach. Hydrology and Earth System Sciences, 22(1), 373-390. https://doi.org/10.5194/hess-22-373-2018

Dehghan, P., Hosseinpour Moghadam, M., Lashkaripour, G., & Ghafouri, M. (2012). Investigating the geomorphological forms of the Kashf River watershed in northeastern Iran. Paper presented of the 8th Conference of the Iranian Association of Engineering Geology and the Environment papers, Ferdowsi University of Mashhad, 1659-1666. [In Persian] https://civilica.com/doc/233175

Dou, J., Yamagishi, H., Pourghasemi, H. R., Yunus, A. P., Song, X., Xu, Y., & Zhu, Z. (2015). An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan. Natural Hazards, 78, 1749-1776. https://doi.org/10.1007/s11069-015-1799-2

Ganjirad, M., & Delavar, M. R. (2023). Flood risk mapping using random forest and support vector machine. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 201-208. https://doi.org/10.5194/isprs-annals-X-4-W1-2022-201-2023

Ghorbanzade, M., Azarakhshi, M., Mosaedi, A., & Rostami Khalaj, M. (2017). Evaluation of the efficiency of Analytic Hierarchy Process (AHP) to specify the areas with urban flood risk potential, case study: the central part of Torbat Heydarieh. Physical Geography Research, 49(4), 645-656. [In Persian]  https://doi.org/10.22059/jphgr.2018.231371.1007037

Hamdan, A. M. (2020). Hydro-morphometric analysis using geospatial technology: A case study of Wadi Gabgaba and Wadi Allaqi watersheds, southern Egypt-northern Sudan. Journal of Asian Scientific Research, 10(3), 190. https://doi.org/10.18488/journal.2.2020.103.190.212

Hejazi, A., Andariani, S., Almaspour, F., & Mokhtari Asl, A. (2015). Using Multi Criteria Decision Making and Remote Sensing Techniques in GIS Environment for Flood Susceptible Zones Assessment in Lighvan Chai Catchment. Hydrogeomorphology, 2(3), 61-80. [In Persian]  https://dorl.net/dor/20.1001.1.23833254.1394.2.3.4.5

Horton, R. E. (1945). Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Geological Society of America Bulletin, 56(3), 275-370. https://doi.org/10.1130/0016-7606(1945)56[275:EDOSAT]2.0.CO;2

Hosseinzadeh, M. M., Salehi Milani, A. R., & Rezaian Zarandini, F. (2023). Zoning of the sensitivity of the sub-basins of Nekarood basin to flooding, Neka-Mazandaran. Hydrogeomorphology, 10(34), 100-75. [In Persian] https://doi.org/10.22034/hyd.2023.52132.1646

Khosravi, K., Shahabi, H., Pham, B. T., Adamowski, J., Shirzadi, A., Pradhan, B., ... & Prakash, I. (2019). A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods. Journal of Hydrology, 573, 311-323. https://doi.org/10.1016/j.jhydrol.2019.03.073

Mardani, A., Zavadskas, E. K., Govindan, K., Amat Senin, A., & Jusoh, A. (2016). VIKOR technique: A systematic review of the state of the art literature on methodologies and applications. Sustainability, 8(1), 37. https://doi.org/10.3390/su8010037

Mir Ghafouri, H., Asadian Ardakani, F., & Azizi, F. (2013). Multi-indicator decision making methods (along with the introduction of application software).Tehran: Academic Jihad Publications. [In Persian]

Moghimi, A., Mousavi Harami, S. R., Moatamed, A. & Ahmadi, H. (2010). The study of the effect of morph metric variables on maximum debi of flood in Chalus drainge basin using statistical methods and mathematical models. Journal of Earth and Resources, 2(1), 65-80. [In Persian]

Msabi, M. M., & Makonyo, M. (2021). Flood susceptibility mapping using GIS and multi-criteria decision analysis: A case of Dodoma region, central Tanzania. Remote Sensing Applications: Society and Environment, 21, 100445. https://doi.org/10.1016/j.rsase.2020.100445

Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514-529. https://doi.org/10.1016/j.ejor.2006.01.020

Parvaresh, E., Mahdavi, R., Malekian, A., Esmaeilipoor, Y., & Holisaz, A. (2018). Prioritizing of effective factors in flooding potential using Electre IIIMethod and Flood Flow Coefficient (Case study: Sarkhoon Subwatersheds of Bandarabbas). Journal of Arid Biome, 8(1), 75-87. [In Persian]  https://dorl.net/dor/20.1001.1.2008790.1397.8.1.7.4

Rahaman, S. A., Ajeez, S. A., Aruchamy, S., & Jegankumar, R. (2015). Prioritization of sub watershed based on morphometric characteristics using fuzzy analytical hierarchy process and geographical information system–A study of Kallar Watershed, Tamil Nadu. Aquatic Procedia, 4, 1322-1330. https://doi.org/10.1016/j.aqpro.2015.02.172

Rahimpour, T., Rezaei Moghaddam, M. H., Hejazi, S., & Valizadeh Kamran, K. (2023). Analysis of hydrogeomorphic characteristics of sub-basins in terms of erosion sensitivity (Case study: Aland Chai basin, northwest of Iran). Researches in Earth Sciences, 14(3), 112-131. [In Persian]  https://doi.org/10.48308/esrj.2023.103507

Razavizadeh, S., & Shahedi, K. (2015). Combination of AHP and TOPSIS methods to prioritize of flooding in Taleghan sub watersheds. Natural Ecosystems of Iran, 7(4), 33-46. [In Persian] https://sanad.iau.ir/fa/Journal/nei/Article/983174

Saaty, T. L., & Vargas, L. G. (2006). Decision making with the analytic network process (Vol. 282). Berlin, Germany: Springer Science+ Business Media, LLC. https://doi.org/10.1007/0-387-33987-6

Schumm, S. A. (1956). Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. Geological society of America bulletin, 67(5), 597-646. https://doi.org/10.1130/0016-7606(1956)67[597:EODSAS]2.0.CO;2

Sharifi kia, M., Shayan, S., Yamani, M., & Arab Ameri, A. (2018). Classification of Necarod watershed sub-basins using multi-criteria decision-making models, TOPSIS, SAW and VIKOR. Ecohydrology, 5(1), 69-83. [In Persian]  https://doi.org/10.22059/ije.2017.231263.550

Sharifi, F. (2002). Study of flood prevention, containment and control in Golestan Province with watershed management operations and restoration of forests and pastures.Paper presented of the first Seminar on mitigate and prevent flooding. [In Persian] https://civilica.com/doc/115846/

Smith, K. (1950). Standards for Grading Textures of Erosional Topography. American Journal of Science, 248, 655-668. http://dx.doi.org/10.2475/ajs.248.9.655

Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2013). Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of Hydrology, 504, 69-79. https://doi.org/10.1016/j.jhydrol.2013.09.034

Teimouri, M., & Alvandi, E. (2022). Comparison of Models TOPSIS, SAW, ELECTRE and VIKOR in order to the prioritization of sedimentation and flood hazard of watersheds. Journal of Environmental Science and Technology, 24(2), 79- 99. [In Persian]  https://doi.org/10.30495/jest.2022.45404.4731

Zare, H., & Zamzam, F. (2022). Multi-criteria decision making, methods and applications. Yazd: Yazd University Press. [In Persian]

Zzaman, R. U., Nowreen, S., Billah, M., & Islam, A. S. (2021). Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors. Journal of Flood Risk Management, 14(3), e12715. https://doi.org/10.1111/jfr3.12715