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Ground Subsidence And Groundwater Depletion In Iran: Integrated approach Using InSAR and Satellite Gravimetry
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Land management, GIS. Geodetic infrastructure Department, Lantmäteriet, Gävle, Sweden.ORCID iD: 0000-0003-1744-7004
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Land management, GIS.
2017 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Long-term monitoring of temporal gravity field and ground water level changes in Iran and its associated ground subsidence seen by geodetic methods are important for water source and hazard management.The high-rate (cm to dm/year) ground subsidence in Iran has been widely investigated by using different geodetic techniques such as precise leveling, GPS and interferometric synthetic aperture radar (InSAR). The previous individual SAR sensors (e.g. ERS, ENVISAT and ALOS) or multi-sensors approach have successfully shown localized subsidence in different parts of Iran. Now, thanks to freely available new SAR sensor Sentinel-1A data, we aim at investigate further the subsidence problem in this region.

In this ongoing research, firstly, we use a series of Sentinel-1A SAR Images, acquired between 2014 to 2017 to generate subsidence-rate maps in different parts of the country. Then, we correlate the InSAR results with the monthly observations of the Gravity Recovery and Climate Experiment (GRACE) satellite mission in this region. The monthly GRACE data computed at CNES from 2002 to 2017 are used to compute the time series for total water storage changes. The Global Land Data Assimilation System( GLDAS) hydrological model (i.e. soil moisture, snow water equivalent and surface water) is used to estimate Groundwater changes from total water storage changes obtiaend from GRACE data.

So far, we have generated a few interferograms, using Sentinel-1A data and SNAP software, which shows a few cm subsidence in western Tehran in last 2 years. We will try more Sentinel images for this area to better constrain the rate and extent of deformation and will continue InSAR processing for the rest of the country to localize the deformation zones and their rates. We will finally comapre the rates of subsidence obtained from InSAR and the rate of groundwater changes estimated from GRACE data.

Place, publisher, year, edition, pages
2017.
Keyword [en]
InSAR, subsidence, GRACE, deformation, Water
National Category
Geosciences, Multidisciplinary
Identifiers
URN: urn:nbn:se:hig:diva-23352OAI: oai:DiVA.org:hig-23352DiVA: diva2:1067500
Conference
Fringe 2017, the 10th International Workshop on “Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR”, 5-9 June 2017, Helsinki, Finland
Available from: 2017-01-21 Created: 2017-01-21 Last updated: 2017-02-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
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Language
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