برآورد نرخ فرونشست سطح زمین در دشت شهریار با استفاده از تکنیک تداخل‌سنجی راداری و تحلیل پارامترهای موثر بر آن

نوع مقاله : پژوهشی

نویسندگان

1 استاد ژئومورفولوژی، دانشکده علوم اجتماعی، دانشگاه محقق اردبیلی، اردبیل، ایران.

2 دکتری ژئومورفولوژی، دانشکده علوم اجتماعی، دانشگاه محقق اردبیلی، اردبیل، ایران.

3 1-استاد گروه جغرافیای طبیعی، دانشکده علوم اجتماعی، دانشگاه محقق اردبیلی، اردبیل، ایران.

10.22034/hyd.2026.69137.1815

چکیده

شناسایی مناطق در معرض فرونشست و برآورد نرخ آن نقش مهمی در مدیریت و کنترل این پدیده دارد. در این پژوهش، از تکنیک تداخل‌سنجی راداری با دقت بالا از مناسب ترین روش‌های شناسایی و اندازه گیری میزان فرونشست می‌باشد. این تکنیک فاز گرفته از دو مجموعه داده رادار در دو زمان مختلف را مقایسه و با ایجاد اینترفروگرام، قادر به اندازه‌گیری تغییرات سطح زمین در دوره زمانی است. در این پژوهش به منظور شناسایی و اندازه‌گیری فرونشست در دشت شهریار از تصاویر راداری سنتینل 1 سال‌های 2016 و 2023 و به منظور پردازش اطلاعات از نرم‌‌افزار SARSCAPE استفاده شده است. به منظور پایش سطح آب زیرزمینی از داده های چاه‌های پیزومتری زیرزمینی منطقه مورد مطالعه برای هر 5 سال با روش درون یابی از مدل‌های کریجینگ که از دقت بسیار بالایی برخوردار است استفاده گردید. روش K-Besselبا مقدار RMS 142/0، برای سال 2019 و روش Gaussian با مقدار RMS 129/0، برای سال 2023 که دقیق‌ترین روش شناخته شدند، استخراج شد. طبق نتایج، بیشینه نرخ فرونشست در 7 سال در دشت شهریار، 28 سانتیمتر و میزان بالاآمدگی 10 سانتی‌متر برآورد شده است. رابطه بین فرونشست و تغییرات مقدار سطح آب‌های زیرزمینی نشان داد که در سال 2019 سطح آب 51/97 متر بوده است که در طی 5 سال در سال 2023 به 51 /90 متر کاهش یافته است که این افت سطح آب زیرزمینی نشان می‌دهد که این افت سطح آب زیرزمینی منجر به فرونشست زمین در منطقه مورد مطالعه شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Estimating the rate of land subsidence in the Shahriar Plain using radar interferometry technique and analyzing the parameters affecting it

نویسندگان [English]

  • sayyad Asghari Saraskanroud 1
  • Maryam MaryamMohammadzadeh shishehgaean 2
  • Aghil Madadi 3
1 professor of Geomorphology, Faculty of Social Sciences, University of Mohaghegh Ardabili, Iran.
2 Phd studen of Geomorphology, Faculty of Social Sciences, University of Mohaghegh Ardabili, Iran.
3 professor of Geomorphology, Faculty of Social Sciences, University of Mohaghegh Ardabili, Iran.
چکیده [English]

One of the hazards that has occurred in many plains of Iran in recent years is the hazards caused by subsidence. Identifying areas exposed to subsidence and estimating its rate plays an important role in managing and controlling this phenomenon. In this study, the high-precision radar interferometry technique is one of the most appropriate methods for identifying and measuring the amount of subsidence. This technique compares the phase taken from two radar data sets at two different times and, by creating an interferogram, is able to measure changes in the land surface over time. In this study, Sentinel 1 radar images from 2016 and 2023 were used to identify and measure subsidence in the Shahriar Plain, and SARSCAPE software was used to process the information. In order to monitor the groundwater level, data from underground piezometric wells in the study area were used for every 5 years with the interpolation method using kriging models, which have a very high accuracy. The K-Bessel method with an RMS value of 0.142 for 2019 and the Gaussian method with an RMS value of 0.129 for 2023, which were known to be the most accurate methods, were extracted. According to the results, the maximum subsidence rate in 7 years in the Shahriar Plain was estimated to be 28 cm and the uplift rate was estimated to be 10 cm

کلیدواژه‌ها [English]

  • Subsidence؛ Radar interferometry؛ Sentinel 1 satellite imagery؛ groundwater level؛ Shahriar Plain
  • Iran
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