Deformation analysis of the Lake Urmia causeway (LUC) embankments in northwest Iran: insights from multi-sensor interferometry synthetic aperture radar (InSAR) data and finite element modeling (FEM)

Shamshiri, Roghayeh; Motagh, Mahdi; Baes, Marzieh; Sharifi, Mohammad Ali

doi:10.1007/s00190-014-0752-6

Cited by 28 publications

(24 citation statements)

References 22 publications

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“…Eq. 7is used to transform a three dimensional displacement field to LOS direction (Shamshiri et al 2014): cos sin sin sin cos…”

Section: Resultsmentioning

confidence: 99%

Monitoring of Masjed-Soleiman Embankment Dam’s Deformation Using a Combination of Interferometric Synthetic Aperture Radar (Insar) and Finite Element Modeling

Aminjafari

2017

Geodesy and Cartography

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The fresh water shortage is one the most important challenges in many countries like Iran. So there have been incentives to manipulate and manage water resources by constructing dams. Clay core embankments are one of the most popular dam structures. A layer of clay can be a reliable obstacle in front of water stream. However, because of the soil’s nature, these kinds of dams have the potential of instability. Thus deformation of clay core dams should be monitored frequently. The aim of this study is to use the combination of Interferometric Synthetic Aperture Radar technique (InSAR) and Finite Element Modeling (FEM) for dam’s deformation monitoring. For the InSAR analysis we used data from ENVISAT sensor and processed those using Small BAseline Subset (SBAS). We show that InSAR is an invaluable approach to monitor clay core dam’s deformation in specific circumstances. The deformation derived from InSAR was used as an initial condition in Finite Element Modeling. The case study is Masjed Soleiman Dam which is situated in South West of Iran. We used 19 ASAR images of ENVISAT sensor from 2003/8/22 to 2010/5/7. The process of ASAR images showed maximum velocity of 11 mm/year in LOS direction at central lower areas of dam. These results were compared with Geodetic Surveying Operations at four points on dam and the average agreement of 77 percent was obtained. The results of ENVISAT data have a good consistency with FEM results. Horizontal and vertical displacements derived from instrumentations and modeling are plotted versus depths. There is a good agreement between modeling results and instrumentations data.

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“…Eq. 7is used to transform a three dimensional displacement field to LOS direction (Shamshiri et al 2014): cos sin sin sin cos…”

Section: Resultsmentioning

confidence: 99%

Monitoring of Masjed-Soleiman Embankment Dam’s Deformation Using a Combination of Interferometric Synthetic Aperture Radar (Insar) and Finite Element Modeling

Aminjafari

2017

Geodesy and Cartography

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“…The TSX-SL data is much better than the CSK-SM data for this small area deformation retrieval due to its high resolution and shorter baseline. In the future, the increasing availability of such high-resolution SAR data offers significant opportunities for interferometric imaging of infrastructure and understanding their movement in response to loading and triggering factors using numerical modelling [30].…”

Section: Discussionmentioning

confidence: 99%

Earth and Rock-Filled Dam Monitoring by High-Resolution X-Band Interferometry: Gongming Dam Case Study

Motagh

Mingzhou³

et al. 2019

Remote Sensing

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Middle-sized earth- and rock-filled dams with clay cores continue to settle by approximately 0.5–1.5% of their height for approximately 1–3 years after their construction phase. This paper investigates the use of high-resolution spaceborne Synthetic aperture Radar (SAR) interferometry to monitor this settlement process, with the case of the Gongming dam in China. The varieties of slope foreshortening and stretching in the radar coordinates are attributed to the radar’s local incidence angle and the dam’s slope heading, which are analysed in detail. Focusing on the embankment slope settlement analysis, the equations for calculating foreshortening and the line-of-sight deformation decomposition are derived in detail for the adjustment and data fusing. The scattering characteristics of different materials on the dam surface are analysed, including the grass slope, concrete slope, top road (crest), top wall, step, and ditch. According to the analysis of the precipitation data from a local meteorological station, the coherence losses on the slopes are mainly caused by surface moisture. Both the TerraSAR-X Spotlight (TSX-SL) data and the COSMO-SkyMed Strip Mode (CSK-SM) data are analysed by the stacking method to assess the slopes’ deformations. The TSX-SL data results show the highest rate of settlement as 2 cm/yr on the top of the dam slope, consistent with the clay core shrinking process. The CSK-SM data show a similar trend in the lower part of the dam slope but underestimate the deformation in the upper part of the slope.

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“…Furthermore, the resulting information is always sparse. Finally, point-based approaches can be very expensive as well as time-and labourintensive, especially for large measuring objects (Paffenholz et al 2017;Shamshiri et al 2014;Li et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A spatio-temporal deformation model for laser scanning point clouds

Harmening

Neuner

2020

J Geod

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The establishment of the terrestrial laser scanner changed the analysis strategies in engineering geodesy from point-wise approaches to areal ones. During recent years, a multitude of developments regarding a laser scanner-based geometric state description were made. However, the areal deformation analysis still represents a challenge. In this paper, a spatio-temporal deformation model is developed, combining the estimation of B-spline surfaces with the stochastic modelling of deformations. The approach's main idea is to model the acquired measuring object by means of three parts, similar to a least squares collocation: a deterministic trend, representing the undistorted object, a stochastic signal, describing a locally homogeneous deformation process, and the measuring noise, accounting for uncertainties caused by the measuring process. Due to the stochastic modelling of the deformations in the form of distance-depending variograms, the challenge of defining identical points within two measuring epochs is overcome. Based on the geodetic datum defined by the initial trend surface, a pointto-surface-and a point-to-point-comparison of the acquired data sets is possible, resulting in interpretable and meaningful deformation metrics. Furthermore, following the basic ideas of a least squares collocation, the deformation model allows a time-related space-continuous description as well as a space-and time-continuous prediction of the deformation. The developed approach is validated using simulated data sets, and the respective results are analysed and compared with respect to nominal surfaces.

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Deformation analysis of the Lake Urmia causeway (LUC) embankments in northwest Iran: insights from multi-sensor interferometry synthetic aperture radar (InSAR) data and finite element modeling (FEM)

Cited by 28 publications

References 22 publications

Monitoring of Masjed-Soleiman Embankment Dam’s Deformation Using a Combination of Interferometric Synthetic Aperture Radar (Insar) and Finite Element Modeling

Monitoring of Masjed-Soleiman Embankment Dam’s Deformation Using a Combination of Interferometric Synthetic Aperture Radar (Insar) and Finite Element Modeling

Earth and Rock-Filled Dam Monitoring by High-Resolution X-Band Interferometry: Gongming Dam Case Study

A spatio-temporal deformation model for laser scanning point clouds

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