نوع مقاله : پژوهشی

نویسندگان

1 لیلا آقایاری، دارک مردک دکتری در رشته ژئومورفولوژی گرایش مخاطرات ژئومورفیک، دانشگاه محقق اردبیلی

2 استاد گروه جغرافیای طبیعی(گرایش ژئومورفولوژی)، دانشگاه محقق اردبیلی

چکیده

هدف این پژوهش بررسی و تحلیل مهم‌ترین عوامل دخیل در ایجاد خطر فرونشست دشت اردبیل و مشخص کردن سطوح مستعد که احتمالاً در آینده نزدیک درگیر فرونشست خواهند شد. هدف از این پژوهش در مرحله اول ارزیابی فرونشست با استفاده از تکنیک تداخل سنجی راداری در محیط نرم افزار Sarscape، با بهره‌ از قابلیت تصاویر-A1 Sentinel در بازه زمانی 2016 و 2021 و همچنین در ادامه، نسبت به پهنه بندی مناطق مستعد با الگوریتم چند معیاره Aras درمحیط نرم افزار Edrisiاقدام گردید .نتایج مطالعه حاضر نشان داد مقدار بین صفر تا 22 میلی متر فرونشست در محدوده مورد مطالعه ایجاد شده است که بیشترین میزان فرونشست در بخش مرکزی و سپس در بخش شرقی و شمال‌شرقی متمرکز است. با توجه به نتایج حاصل از پهنه‌بندی خطر فرونشست؛ معیارهای افت سطح آب، فاصله از رودخانه، زمین شناسی،کاربری اراضی به ترتیب با ضریب وزنی 221/0، 166/0، 152/0 و 147/0، مهم ترین عوامل دخیل در ایجاد خطر فرونشست محدوده مطالعاتی بوده و به ترتیب 41/267 و 21/403 کیلومتر مربع از محدوده دارای احتمال خطر بسیار زیاد و زیاد می باشد. در نهایت می توان گفت مهمترین عامل اصلی دخیل در افزایش مقدار و پتانسیل فرونشت دشت اردبیل، بهره ی بی رویه از آب های زیرزمینی و افت سطح آب است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Investigating and zoning land subsidence using Aras multi-criteria model analysis, case study: Ardabil plain)

نویسندگان [English]

  • leila aghayary 1
  • Mousa Abedini 2

1 Graduated from Mohagheg Ardabili University with a PhD in Geomorphology, Geomorphic Hazards

2 Professor in Geomorphology Faculty social science University of Mohaghegh Ardabili Ardabil

چکیده [English]

Therefore, the purpose of this research is to investigate and analyze the most important factors involved in creating the risk of subsidence in the Ardabil plain and to identify the susceptible surfaces that are likely to be involved in subsidence in the near future. The purpose of this research in the first stage is to evaluate the subsidence using radar interferometry technique in the Sarscape software environment, using the capabilities of A1 Sentinel images in the time frame of 2016 and 2021, and also in the following, in relation to the zoning of susceptible areas with the algorithm Aras multi-criteria was implemented in Edrisi software environment. The results of the present study showed that between 0 and 22 mm of subsidence has occurred in the studied area, and the highest amount of subsidence is concentrated in the central part and then in the eastern and north-eastern parts. According to the results of subsidence risk zoning; The criteria of water level drop, distance from the river, geology, and land use are the most important factors involved in creating the risk of subsidence in the study area, respectively, with a weighting factor of 0.221, 0.166, 0.152, and 0.147, respectively, and 267/41 and 403/21 square kilometers of the range have a very high probability of danger. Finally, it can be said that the most important factor involved in increasing the amount and potential of subsidence in the Ardabil plain is the excessive use of underground water and the drop in the water level.

کلیدواژه‌ها [English]

  • Keywords (time 12 bold): Subsidence
  • zoning
  • Aras
  • Ardabil plain

- این مقاله مستخرج از طرح پژوهشی به شماره قرارداد (109/401) از محل اعتبارات معاونت پژوهش و فناوری دانشگاه محقق اردبیلی می باشد.

(.Abedini, M.( 2016) Fundamental of land subsidence (risks of hydrogeomorphology and environmental management), Publications of Mohaghegh Ardabili University, 1st edition, 230 pages..
Abedini, M.( 2018). Investigating the problems of hydrogeomorphology and subsidence caused by the drop in the level of underground water in the Ardabil plain and solutions. Mohaghegh Ardabili University. Researches..
Abedini, M., and Saraei, B.( 1402). Investigating the evolution of the geomorphology of accumulation plains, through the granulometry of formations, log results and tectonic effects, a case study: (Harzandat, Hadishehr and Golfarj plains), Environmental Science Studies, 8th period , the third issue, autumn season, pp. 6825-6837.
Abdul Maleki., Ali, Maleki, Amjad, Khazaei, Ali (2021). Monitoring the elevation of the earth and analyzing its geomorphological effects using telemetry data. Remote Sensing and Geographic Information System in Natural Resources, 12 (4), pp. 118-95.
Abidin H. Z., Andreas H., Gumilar I., and Brinkman J. J. (2015). On correlation between urban development, land subsidence and flooding phenomena in Jakarta, Changes in Flood Risk and Perception in Catchments and Cities (HS01 – IUGG2015). Published by Copernicus Publications on behalf of the International Association of Hydrological Sciences.
Aher, P., Adinarayana J, Gorantiwar SD. (2013). Prioritization of watersheds using multi-criteria evaluation through the fuzzy analytical hierarchy process, Agric Eng Int CIGR J 15(1):11–18.
Alinezhad, A., Khalili J. (2019). New Methods and Applications in Multiple Attribute Decision Making (MADM). International Series in Operations Research & Management Science, vol 277, Springer, Cham.
 Alizadeh, Reza., Izadi Hassan., Arasteh Mojtaba.(2021). Ranking of nature-based tourism capacity in mountainous areas, case study: Eastern region of Lorestan province. Planning and arranging space. 25 (1): 117-142.
Anamradnejad, Rahim., Bardi, Nikpour, Amer, Hassani, Zohreh. (2019). Physical-Spatial Analysis of Urban Areas Based on Intelligent Urban Growth Indicators (Case Study: Babol), Journal of Urban Research and Planning, 9 (34), pp. 19-30.
Arab Ameri, A., Pourghasemi, H.R., Cerda. A. (2018). Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: A comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision making models, Science of The Total Environment, 613-614:1385 1400 ·
Bhattarai, R., Alifu, H. Maitiniyazi, A. Kondoh.( 2017). Detection of Land Subsidence in Kathmandu Valley, Nepal, Using DInSAR Technique, Land 2017, 6(2, 1-178).
Bou kheir, R., Cerdan, O & Abdelah, C. (2006). Regional soil erosion risk mapping in Lebanon. Geomorphology, 82, 347-359.
Diani ,Leila., Portaheri Mehdi, Rokanuddin Eftekhari Abdolreza, Ahmadi Hassan. (2019). Ranking of the main structures of organizing the worn-out structures of the villages around the metropolises using the cumulative ratio evaluation method (ARAS) (Case study: around the metropolis of Tehran), Planning and arranging space; 22 (3): 145-181.
Dong, J., Zhang, L., Tang, M., Liao, M., Xu, Q., Gong, J., & Ao, M. (2018). Mapping landslide surface displacements with time series SAR interferometry by combining persistent and distributed scatterers: A case study of Jiaju landslide in Danba, China. Remote Sensing of Environment, 205,180–198.
Ebrahimi, Atrin., Ghasemi, Afshan, Ganjaeian, Hamid. (2020). Monitoring the subsidence of Pakdasht urban area using radar interferometry method, Geography and Human Relations, 2 (4), pp. 29-41.
Rababe Farzinkia.,Mohammad Ali Zanganeh Asadi., Abolqasem Amir Ahmadi.,Rahman Zandi. (2018). Journal of Hydrogeomorphology, Volume 6, Number 20, Pages 165-185.
Georgiou, D., Mohammed, E.S., Rozakis, S. (2015). Multi-criteria decisionmaking on the energy supply configuration of autonomous desalination units. Renew. Energy 75, 459–467.
Hoseini ,H.( 2019). Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation, Information Processing in Agriculture, 6 (1): 11-19.
Huang, G,. Fan, H. Lu, L. Yu, W. (2020). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-pp 1-6.
Kooh Banani, Hamid., Yazdani, Mohammad Reza, Hosseini, Seyed Keyvan. (2019). Zoning of land subsidence risk using radar interference (Case study: Kashmar and Khalilabad plains. Desert Management, 7 (13), pp. 76-65.
Mohammad Hossein Mutadeen,. Mehrdad Esfandiari; Abolfazl Moeini,. Ali Mohammadi torkashvand.(2024). Journal of Hydrogeomorphology, Online Publications,http://dx.doi.org/10.22034/hyd.2023.55996.1688
Minh, D., H. T. Tran., Q, C. Pham, Q.N, Dang, T, Nguyen, D.A, El-Moussaw, A. (2019). "Measuring Ground Subsidence in Ha Noi Through the Radar Interferometry Technique Using TerraSAR-X and Cosmos SkyMed Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 10, pp. 3874-3884.
 Montazeriun, Maryam., Aslani, Fereshteh. (2019). Landslide risk assessment using GIS in Tehran and Alborz provinces. Crisis Prevention and Management Knowledge Quarterly, Volume 9, Number 1, pp. 13-1
Qanvati, Ezatullah., Sharifi Kia, Mohammad, Hosseini, Seyed Ibrahim. (2019). Explaining the effect and geomorphological process of subsidence phenomenon in changing the land pattern of geomorphological forms Case study of Yazd-Ardakan plain. Quantitative Geomorphological Research, 8 (3), 1-16.
Qara Cheloo, Saeed., Akbari Quchani, Hesam, Glian, Saeed, Ganji, Kamran. (2021). Assessment of land subsidence in relation to groundwater with the help of Sentinel-1 and Alus-1 radar satellites (study area: Mashhad plain). Remote Sensing and GIS in Natural Resources, 12 (3), 40-61.
Ranjgar, Babak., Seyed V. Razavi-Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki, and Daniele Perissin. (2021). "Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms" Remote Sensing 13, no. 7: 1326. https://doi.org/10.3390/rs13071326.
 Shafiee, Najmeh., Mokhtari, Leilagli, Amir Ahmadi, Abolghasem, Zandi, Rahman. (2020). Investigation of aquifer subsidence in Nurabad plain using radar interferometry method. Quantitative Geomorphological Research, 8 (4), pp. 93-111.
Sharifi Kia, Mohammad., (2012). Determining the extent and amplitude of land subsidence using radar interference method in Nogh-Bahraman plain, Journal of Spatial Planning and Planning, Volume 16, Number 3, pp. 73-55.
Shirani, Kourosh., Pasandi Mehrdad, Ebrahimi Babak.(2021). Investigation of land subsidence in Najafabad plain of Isfahan using radar differential interferometry technique. Journal of Soil and Water Sciences. 25 (1): 127-105.
Turani, Marjan., Aq Atabay, Maryam, Rustaei, Meh Asa. (2019). Study of subsidence in Gorgan city using radar interferometry method. Journal of Spatial Planning, 8 (27), 117-128.
Tuş A., Aytaç Adalı E. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem, opsearch, 56: 528–538.
Zavadskas, E.; Turskis, Z. (2010). a new additive ratio assessment (ARAS) method in multicriteria decision‐making, Technological and Economic Development of Economy, 16, 2, pp. 159-172.