Surface subsidence monitoring with radar interference technique (study area: Meshgin plain)

Document Type : Research Article

Authors

1 Professor, Department of Geography and Urban Planning, University of Mohaghegh Ardabili Iran

2 PhD student in Geography and Urban Planning, University of Mohaghegh Ardabili, Iran

Abstract

Land subsidence is a phenomenon that has been on the rise in recent decades in most countries around the world, especially in third world countries such as Iran. in Iran, most land subsidence is related to agriculture and the uncontrolled extraction of groundwater. This phenomenon can cause irreparable damage to the affected areas if not properly managed. Identifying subsidence areas and estimating its rate will certainly play a significant role in managing the control of this phenomenon. One of the best ways to detect a subsidence phenomenon is to use a radar differential interference technique. Meshgin plain is one of the most important plains in Ardabil province in terms of agricultural development, which in recent years has faced the phenomenon of land subsidence due to uncontrolled extraction of groundwater resources. Data collected by piezometric wells at the plain level show an average drop in static level over a 14-year period of 23.75 meters. The consequences of this drop in groundwater levels have led to subsidence and cracks and crevices in parts of the plain. Declining water level and subsequent increase in effective stress is the main reason for the subsidence of the Meshgin plain. In this study, in order to determine the affected area and finally estimate the amount of subsidence, radar interference method was used as a reliable method to measure land surface changes with very high accuracy, wide coverage and high spatial resolution. The maximum subsidence rate was calculated using the radar images of the Sentinel 1 satellite in the period from 2019/08 to2020/04 – 9.35cm. From the results of radar interference, it was determined that the subsidence extends from southeast to southwest of the plain.

Keywords

Main Subjects


References (in Persian)
Amighpi, M., Arabi, S., Talebi, A., Jamour., Y., (1388), Application of radar interferometry technique in studies of subsidence areas, 16th Geomatics Conference, Tehran - National Surveying Organization, 1388. [In Persian]
Ahmadzadeh, H., Roustaei, Sh., Nikjoo, M., Dehghani., M., (2015) Estimating the area and volume of slippery mass using InSAR techniques and GPS observations: A case study of slippery slope in Sulfur village, Quantitative Geomorphological Research, Fourth Year, Issue 2. Pp. 18-28. [In Persian]
Afshari, A., Ghahroordi Tali, M., Sadough, S., Ehteshami M., (1398) Evaluation of slope instability in Lorestan railway area using radar differential interferometry method, Quantitative Geomorphological Research, Year 8, No. 3. Pages. 183-202. [In Persian]
Afzali, A., Sharifi Kia, M., Shayan., S., (2013) Assessing the vulnerability of infrastructures and settlements to the phenomenon of land subsidence in Damghan plain, Iranian Journal of Applied Geomorphology, Volume 1. Pp. 61 to 73. [In Persian]
Baseri Nam, S., Ismaili, A., Dehghani, M., (2015), Algorithmic presentation to improve the accuracy of snow cover mapping using MODIS images, Journal of Spatial Information Technology Engineering, No. 1. pp. 61-75. [In Persian]
 Fatemi, S.B., Rezaei Y., (2012). Fundamentals of Remote Sensing. Azadeh Publications. [In Persian]
Khaninzadeh, N., Motagh, M., Sharifi, M. A., (2010) Study and study of landslides using radar interferometry, Journal of Surveying Engineering and Spatial Information, Volume 1. Number 3. Pp. 73-78. [In Persian]
Khamchian, M., Naderi, A., Monafi Azar, A., (1397) Comparison of subsidence vulnerability of plain southwest of Tehran with ALPRIFT weight model and genetic algorithm, Journal of Kharazmi Earth Sciences, Volume 4. No. 2. pp. 199-212. [In Persian]
Maghsoudi, Y., Amani, R., Ahmadi, H., (1398) Investigation of land subsidence behavior in the western region of Tehran using Sentinel 1 sensor images and radar interferometry technique based on the distribution of permanent nodes, Iranian Journal of Water Resources Analysis, No. 1. pp. 313-299. [In Persian]
Naderi, K., Asghari M., Asghar, Kurd, M., (2015) A New Method for Identifying and Determining Subsidence Areas (Case Study: Salmas Plain Table), Journal of Echo Hydrology, No. 1. Pp. 85-97. [In Persian]
Rustaei, Sh., Roustaei, M., Sharifi Kia, M., Yarahmadi, J., (2013) Application of Radar Differential Interferometry in Landslide Detection and Monitoring, Case Study: Middle Tea Hot Watershed, Journal of Watershed Engineering and Watershed Management, Volume 5. No. 3. pp. 190-198. [In Persian]
Shemshaki, A., Javad B., Ansari, F., (1384)"Study of Landslide in Tehran Shahriyar Plain". Engineering and Environmental Geology Management, (Tehran - Geological Survey). [In Persian]
Shirani, K., Seif, A., Sharifi Kia, M., (2014) Evaluation of the efficiency of ASAR and PALSAR sensors using differential interferometry in landslide detection and monitoring in Zagros, Journal of Watershed Engineering and Management, No. 3. Volume 6. pp. 288-301. [In Persian]
 
References (in English)
Atzori, S. (2013). Understanding earthquakes: the key role of radar images. Nucl. Instrum.Methods Phys. Res. 720, 178–181. http://dx.doi.org/10.1016/j.nima.2012.12.00.
An, Karen. (2015). Investiging the Ralationship between Land Subsidance and Groundwater Depletion in the Nort Plain Using GRACE and ICESat Master's Thesis, Univeversity of California, Los Angeles, p44.
Bordoni,M., Bonì,R., Colombo,A., Lanteri,L., Meisina,C. A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations. Catena 163 (2018) 89–110. https://doi.org/10.1016/j.catena.2017.12.013.
Chen, M., Tomás, R., Li, Zh., Motagh, M., Li, T., Hu, L., Gong, H.,Li, X., Yu, J., Gong, X.( 2016). Imaging Land Subsidence Induced by Groundwater Extraction in Beijing (China) Using Satellite Radar Interferometry, Remote Sens, 8(6), 468.
Di Martire, D., Iglesias, R., Monnels, D., Centolanza, G., Sica, S., Ramondini, M., Pagano, L.,Mallorquì, J.J., Calcaterra, D.( 2014). Comparison between differential SAR interferometry and ground measurements data in the displacement monitoring of the earthdam of Conza della Campania (Italy). Remote Sens. Environ. 148, 58–69. http://dx.doi.org/10.1016/j.rse.2014.03.014.
Dong,J., Liao,M., Xu,Q., Zhang,L., Tang,M., Gong,J.(2018). Detection and displacement characterization of landslides using multitemporal satellite SAR interferometry: A case study of Danba County in the Dadu River Basin. Engineering Geology 240 95– 109. https://doi.org/10.1016/j.enggeo.2018.04.015
Ho, D. T. D., Tran, C. Q., Nguyen, A. D. and Le, T. T. (2016). Measuring ground subsidence in Hanoi city by radar interferometry. Science and Technology Development Journal, 19 (2)122-129.
Infante, D., Confuorto, P., Dimartire, D., Ramondini,M., Calcaterra,D. (2016). Use of DInSAR data for multi-level vulnerability assessment of urban setting affected by slowmoving and intermittent landslides. Procedia engineering 158. 470-475.
Lazecky,M.,CanaslanComut.,Hlavacova,I (2015).Gurboga,S.Practical Application of Satellite-Based SAR Interferometry for the Detection of Landslide Activity.procedia earth and Planetry Science 15.613-618. doi: 10.1016/j.proeps.2015.08.113.
Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., et al. (1993). The displacement field of the Landers earthquake mapped by Radar Interferometry.Nature, 364, 138–142.
Motagh, M., Shamshiri, R., Haghighi, M.H., Wetzel, H.U., Akbari, B., Nahavandchi, H., Roessner, S. and Arabi, S. (2017). Quantifying groundwater exploitation induced subsidence in the Rafsanjan plain, southeastern Iran, using InSAR time-series and in situ measurements.
Novellino, A., Cigna, F., Sowter, A., Syafiudi,M.F. Di Martire, D., Ramondini,M., Calcaterra, D. (2015). Intermittent Small Baseline Subset (ISBAS) InSAR Analysis to monitor landslides in Costa Della Gaveta, Southern Italy. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26–31 July 2015, Milan, Italy, pp. 3536–3539 http://dx.doi.org/10.1109/IGARSS.2015.7326584.
Raspini, F. (2013). Advanced interpretation of land subsidence by validati multi-interferometric SAR data: the case study of the Anthemountas basin (Northern Greece. Natural Hazards and Earth System Sciences, (23): 24-45.
Sanabria,M.P., Guardiola-Albert, C., Tomás, R., Herrera, G., Prieto, A., Sánchez, H., Tessitore, S.( 2014). Subsidence activity maps derived from DInSAR data: Orihuela case study. Nat. Hazards Earth Syst. Sci. 14, 1341–1360. http://dx.doi.org/10.5194/nhess-14- 1341-2014.
Sanabria,M.P., Guardiola-Albert, C., Tomás, R., Herrera, G., Prieto, A., Sánchez, H., Tessitore, S.( 2014). Subsidence activity maps derived from DInSAR data: Orihuela case study. Nat. Hazards Earth Syst. Sci. 14, 1341–1360. http://dx.doi.org/10.5194/nhess-14- 1341-2014.
Smith, R.G ; Knight R ; Chen J ; Reeves J.A ; Zebker H.A ; Farr T and Liu Z. (2017). Estimating the permanent loss of groundwater storage in the southern San Joaquin Valley, California, Water Resources Research journal, vol 53, , pp 2133-2148.
  • Receive Date: 23 July 2020
  • Revise Date: 29 December 2021
  • Accept Date: 30 January 2022
  • First Publish Date: 30 January 2022
  • Publish Date: 22 May 2022