Investigating subsidence in the Bursa Plain, Turkey, using ascending and descending sentinel-1 satellite data

Gokhan Aslan*, Ziyadin Cakir, Cécile Lasserre, François Renard

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Özet

We characterize and monitor subsidence of the Bursa Plain (southern Marmara region of Turkey), which has been interpreted as resulting from tectonic motions in the region. We quantify the subsidence using Interferometric Synthetic Aperture Radar (InSAR) time-series analysis. The Stanford Method for Persistent Scatterers InSAR package (StaMPS) is employed to process series of Sentinel 1 A-B radar images acquired between 2014 and 2017 along both ascending and descending orbits. The vertical velocity field obtained after decomposition of line-of-sight velocity fields on the two tracks reveals that the Bursa plain is subsiding at rates up to 25 mm/yr. The most prominent subsidence signal in the basin forms an east-west elongated ellipse of deformation in the east, and is bounded by a Quaternary alluvial plain undergoing average vertical subsidence at ~10 mm/yr. Another localized subsidence signal is located 5 km north of the city, following the Bursa alluvial fan, and is subsiding at velocities up to 25 mm/yr. The comparison between temporal variations of the subsiding surface displacements and variations of the water pressure head in the aquifer allows estimation of the compressibility of the aquifer, α. It falls in the range of 0.5×10 -6 -2×10 -6 Pa -1 , which corresponds to typical values for clay and sand sediments. We find a clear correlation between subsidence patterns and the lithology, suggesting a strong lithological control over subsidence. In addition, the maximum rate of ground subsidence occurs where agricultural activity relies on groundwater exploitation. The InSAR time series within the observation period is well correlated with changes in the depth of the ground water. These observations indicate that the recent acceleration of subsidence is mainly due to anthropogenic activities rather than tectonic motion.

Orijinal dilİngilizce
Makale numarası85
DergiRemote Sensing
Hacim11
Basın numarası1
DOI'lar
Yayın durumuYayınlandı - 1 Oca 2019

Bibliyografik not

Publisher Copyright:
© 2019 by the authors.

Finansman

Sentinel 1A/B images were processed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources). We thank the Turkish State Hydraulic Works for providing the piezometric data. This research received funding from TUBITAK project 113Y102 and AFAD project UDAP-G-16-02 to Z.C., the Norwegian Research Council, project HADES, grant 250661 to F.R. This is part of the Ph. D. dissertation of Gokhan Aslan who is supported by the French Embassy in Turkey (Bourse Etudes scholarship program 889075G). Université Grenoble Alpes LabeX OSUG@2020 project of C.L. and CMIRA scholarship program provided by the Rhone-Alpes Region. The APC was funded by CNES/INSU to C.L. Funding: This research received funding from TUBITAK project 113Y102 and AFAD project UDAP-G-16-02 to Z.C., the Norwegian Research Council, project HADES, grant 250661 to F.R. This is part of the Ph.D. dissertation of Gokhan Aslan who is supported by the French Embassy in Turkey (Bourse Etudes scholarship program 889075G). Université Grenoble Alpes LabeX OSUG@2020 project of C.L. and CMIRA scholarship program provided by the Rhone-Alpes Region. The APC was funded by CNES/INSU to C.L.

FinansörlerFinansör numarası
AFADUDAP-G-16-02
CMIRA
CNES/INSU
French Embassy in Turkey889075G
Rhone-Alpes Region
TUBITAK113Y102
Communauté Université Grenoble Alpes
Norges Forskningsråd250661
Association for Progressive Communications

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