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.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [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]
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