Monitoring of urban subway lines subsidence  Using satellite radar interferometry method (Study area: Part of Tehran Metro Line 7)

Younesi Sienaki, Ali; Akhoondzadeh Hanzaei, Mehdi

doi:10.52547/jgst.12.2.16

[Home ] [Archive]

[ فارسی ]

Journal of Geomatics Science and Technology

Main Menu

Home

Browse

Journal Info

Guide for Authors

Submit Manuscript

Articles archive

For Reviewers

Contact us

Site Facilities

Reviewers

Search in website

Receive site information

Volume 12, Issue 2 (1-2023)

JGST 2023, 12(2): 16-29

Back to browse issues page

Monitoring of urban subway lines subsidence Using satellite radar interferometry method (Study area: Part of Tehran Metro Line 7)

Ali Younesi Sienaki

, Mehdi Akhoondzadeh Hanzaei ^*

Abstract: (993 Views)

Nowadays, satellite radar interferometry method plays an important role in calculating natural and artificial displacements, including displacements caused by floods, earthquakes, landslides, drilling of unauthorized wells, drilling of urban tunnels, etc. Metro tunneling is very important due to the importance of preventing irreparable financial and human losses. In Tehran, especially due to the drilling of subway tunnels and lack of attention to underground aqueduct routes and groundwater aquifers, we are witnessing large-scale land subsidence. The use of Multi-Temporal InSAR in determining the interferometry model is very well understood today and it is possible to use these methods to calculate subsidence with very high accuracy in different areas. Of course, these methods also have their own limitations, such as access to appropriate images in the desired time period, changes in coverage of the desired area over time. In this paper, using satellite images of the Sentinel-1 low-pass in a period of six months (April to October 2019), the subsidence of the Tehran Metro Line 7 tunnel (between Hafdeh Shahrivar St. and Ghiam Square) using the method Radar interferometry is calculated and then compared with field sedimentation performed using sedimentation and precision mapping pins that have a very high accuracy (in the tenth of a millimeter). The number of images used in this period was 22 images, of which seven images with shorter base line length and higher degree of correlation were selected and the interferometry measurement operation was performed in pairs. In the coregistration operation, first two images are precisely aligned on each other and the phase difference between them is obtained by multiplying the conjunction of the first image in the second image which This obtained phase difference is called the interferometric model and at this stage the flat ground phase is eliminated. After obtaining the interferometric model, Deburst operation is performed to integrate the interferometric model and to reduce the volume of calculations, the desired spatial range is specified on the model And the topography phase is eliminated using the strm 3sec DEM. Then, for better performance and phase unwrapping operations, Goldstein filter and SNAPHU package are used, respectively. SNAPHU implements statistical cost and network-flow algorithms to unwrapp phase. The amount of displacement is then calculated from the unwrapped phase. Finally, using these images, the RMSE values for images with VH and VV polarization compared to field data were 2.19 and 20.79 mm, respectively. We will see that the use of VH-polarized images performs better in determining subsidence in urban areas.

Article number: 2

Keywords: DINSAR, Subsidence, Metro Line

Full-Text [PDF 1216 kb] (569 Downloads)

Type of Study: Research | Subject: Photo&RS
Received: 2021/08/8

References

1. Matteo Roccheggiani , Daniela Piacentini , Emanuela Tirincanti , Daniele Perissin and Marco Menichetti Detection and Monitoring of Tunneling Induced Ground Movements Using Sentinel-1 SAR Interferometry, MDPI, Vol. 11(6),pp. 639, 2019. [DOI:10.3390/rs11060639]

2. M. Crosetto, J.A. Gili, O. Monserrat, M. Cuevas-González, J. Corominas, D. Serral, "Interferometric SAR monitoring of the Vallcebre landslide (Spain) using corner reflectors", Natural Hazards and Earth System Sciences, Vol. 13(4), pp. 923-33, 2013 [DOI:10.5194/nhess-13-923-2013]

3. C. Colesanti, and J. Wasowski, " Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry.," Engineering geology, Vol. 88 (3-4), pp. 173-199, 2006. [DOI:10.1016/j.enggeo.2006.09.013]

4. D. Perissin, F. Rocca " High-accuracy urban DEM using permanent scatterers," IEEE Transactions on Geoscience and Remote Sensing, Vol 44 (11), pp. 3338-3347, 2006. [DOI:10.1109/TGRS.2006.877754]

5. A. Monti-Guarnieri, F. Parizzi, P. Pasquali, C.L. Prati, F. Rocca, "SAR interferometry experiments with ERS-1," Proceedings of IGARSS'93-IEEE International Geoscience and Remote Sensing Symposium, pp. 991-993, 1993

6. M. Motagh, Y. Djamour, T.R. Walter, H.U. Wetzel, J. Zschau,S. Arabi. "Landsubsidence in Mashhad Valley, northeastIran: results from InSAR, levelling andGPS," Geophysical Journal International,Vol. 168 (2), pp. 518-526, 2007 [DOI:10.1111/j.1365-246X.2006.03246.x]

7. A.I. Calderhead, R. Therrien, A. Rivera, R. Martel, J. Garfias "Simulating pumpinginducedregional land subsidence with theuse of InSAR and field data in the TolucaValley, Mexico" Advances in WaterResources, Vol. 34 (1), pp. 83-97, 2011. [DOI:10.1016/j.advwatres.2010.09.017]

8. H.A. Zebker,J. Villasenor, "Decorrelation in interferometric radar echoes," IEEE Transactions on geoscience and remote sensing Vol. 30(5), pp. 950-959, 1992 [DOI:10.1109/36.175330]

9. R. Goldstein, "Atmospheric limitations to repeat‐track radar interferometry., Geophysical research letters, Vol. 22(18), pp.2517-2520, 1995. [DOI:10.1029/95GL02475]

10. H.A. Zebker, P.A. Rosen, S. Hensley, "Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps" Journal of geophysical research: solid earth, Vol. 102(B4), pp.7547-7563, 1997. [DOI:10.1029/96JB03804]

11. Y. Maghsoudi, F. van der Meer, C. Hecker, D. Perissin, A. Saepuloh, "Using PS-InSAR to detect surface deformation in geothermal areas of West Java in Indonesia,"International journal of applied earthobservation and geoinformation, Vol 64,pp. 386-396, 2018 [DOI:10.1016/j.jag.2017.04.001]

12. Seyfallah Bouraoui . Time series analysis of SAR images using PS and SBAS and merged approaches in regions with small surface deformation. Earth Sciences . Universite de Strasbourg, 2013

13. A. Shemshaki, M. Blourchi, F. Ansari,"Earth subsidence review at Tehran plain-Shahriar first report, 2005.

14. M. Haghshenas-Haghighi, M. Motagh, and M. Esmaeili, "continuous compaction ofaquifer system in Tehran ,Iran, asevidenced by C-band, L-band and X-bandradar measurements," in The 5thTerraSAR-X Science Team Meeting, 2013.

15. Reza Soodmand Afshar, Salman Ahmadi Monitoring of land subsidence due to overexploitation of groundwater using PS-InSAR in the region in hamadan proviance,Iran, Vol 8(1), pp.79_99, 2020.(Persian) [DOI:10.29252/jgit.8.1.79]

16. Peppe J. V. D'Aranno , Alessandro Di Benedetto , Margherita Fiani , Maria Marsella , Ilaria Moriero and José Antonio Palenzuela Baena An Application of Persistent Scatterer Interferometry (PSI) Technique for Infrastructure Monitoring, MDPI, 13(6), pp.1052, 2021. [DOI:10.3390/rs13061052]

17. Seyed Sasan Babaei, Zahra Mousavi, Mahasa Roustaei Time series analysis of radar images using SBAS (small baseline) and PS (Persistent Scatterer ) methods in determining the subsidence rate of Qazvin plain

18. Ali Asghar Semsar Yazdi, Mehdi Dehghani, Saleh Samsar Yazdi, Providing a framework for assessing the destructive effects of development projects on aqueducts, (Persian)

19. Ali Asghar Semsar Yazdi, Majid Labaf Khaniki, Lessons from Indigenous Knowledge in Aqueduct Management.(Persian)

20. Ali Radman, Dr. Mehdi Akhondzadeh, Modeling of land subsidence due to groundwater extraction using satellite data, University of Tehran , 2018

21. Mahmoud Diantkha , book of Engineering Surveying(persian)

22. Andy Hooper, David Bekaert, Ekbal Hussain, and Karsten Spaans 15th August, StaMPS/MTI Manual, School of Earth and Environment University of Leeds LS2 9JT Leeds United Kingdom, 2018

23. Michael Foumelis, Jose Manuel Delgado Blasco, Yves-Louis Desnos, Marcus Engdahl,Diego Fernández, Luis Veci, Jun Lu, Cecilia Wong, ESA SNAP - STAMPS INTEGRATED PROCESSING FOR SENTINEL-1 PERSISTENT SCATTERER INTERFEROMETRY, presently at SkyWatch Space Applications, Waterloo, Canada, 2018 [DOI:10.1109/IGARSS.2018.8519545]

24. Fawwaz T. Ulaby , David G. Long Microwave Radar and Radiometric Remote Sensing, 2014 [DOI:10.3998/0472119356]

25. astri polska ESA SNAP WORKBOOK

26. Qingqing Feng, Huaping Xu, Zhefeng Wu, Yanan You, Wei Liu, and Shiqi Ge Improved Goldstein Interferogram Filter Based on Local Fringe Frequency Estimation, researchGate, Vol 16(11), pp1976, 2016 [DOI:10.3390/s16111976]

Send email to the article author

Add your comments about this article

‎ 10.52547/jgst.12.2.16

‎ 20.1001.1.2322102.1401.12.2.2.9

Mendeley

Zotero

RefWorks

Younesi Sienaki A, Akhoondzadeh Hanzaei M. Monitoring of urban subway lines subsidence Using satellite radar interferometry method (Study area: Part of Tehran Metro Line 7). JGST 2023; 12 (2) : 2
URL: http://jgst.issgeac.ir/article-1-1043-en.html

Rights and permissions
	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Volume 12, Issue 2 (1-2023)

Back to browse issues page