Ruiz-Armenteros, AM, Delgado, JM, Lamas-Fernandez, F et al. (7 more authors) (2018) Multi-Temporal InSAR Monitoring of the Aswan High Dam (Egypt). In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2018, 22-27 Jul 2018, Valencia, Spain. IEEE , pp. 2220-2223. ISBN 978-1-5386-7150-4
Abstract
The Aswan High Dam, Egypt, was built in the 1960s and is one of the biggest dams in the world. It stopped the seasonal flood of Nile river allowing the urban expansion of cities/villages and the full year cultivation, producing 10×10⁹ kWh of power annually. The dam is located in an area where several earthquakes (M L <;6) occurred from 1981 to 2007. In this paper, we want to identify any potential damage that could be caused to the dam, and assess its overall structural stability using Multi-Temporal InSAR (MT-InSAR). To reach this goal, we process Envisat data from descending orbits acquired between 2003 and 2010. Our initial estimates show relatively small rates (maximum around -3 mm/yr in the satellite Line-Of-Sight) of subsidence, whose implications must be further investigated. In addition, we perform a preliminary stress-strain analysis of the dam using FEL and FEM methods to assess if the detected movements correspond to the expected vertical behavior for such mega-structure.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Keywords: | Aswan High Dam; InSAR; monitoring; FEL; FEM; Strain , Synthetic aperture radar , Finite element analysis , Satellites , Radar interferometry , Monitoring |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jan 2019 12:22 |
Last Modified: | 25 Jan 2019 12:34 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IGARSS.2018.8517276 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141033 |