Understanding the subsidence process of a quaternary plain by combining geological and hydrogeological modelling with satellite InSAR data: The Acque Albule Plain case study

Bozzano, Francesca; Esposito, Carlo; Franchi, Stefania; Mazzanti, Paolo; Perissin, Daniele; Rocca, Anna Rachele; Romano, Emanuele

doi:10.1016/j.rse.2015.07.010

Cited by 44 publications

(42 citation statements)

References 53 publications

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“…They concluded that the aquifer system is experiencing a slow consolidation process that was triggered by the piezometric drawdown that started in the 1970s and is controlled by the presence of a very thick layer formed by low permeability and compressible deposits. This behavior of the aquifer system, with groundwater level variations triggering the subsidence, whereas local geological conditions control the magnitude of the deformation, has been observed elsewhere (e.g., [31]). …”

Section: Study Areasupporting

confidence: 60%

Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain)

et al. 2016

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Land subsidence resulting from groundwater extractions is a global phenomenon adversely affecting many regions worldwide. Understanding the governing processes and mitigating associated hazards require knowing the spatial distribution of the implicated factors (piezometric levels, lithology, ground deformation), usually only known at discrete locations. Here, we propose a methodology based on the Kriging with External Drift (KED) approach to interpolate sparse point measurements of variables influencing land subsidence using high density InSAR measurements. In our study, located in the Alto Guadalentín basin, SE Spain, these variables are GPS vertical velocities and the thickness of compressible soils. First, we estimate InSAR and GPS rates of subsidence covering the periods 2003-2010 and 2004-2013, respectively. Then, we apply the KED method to the discrete variables. The resulting continuous GPS velocity map shows maximum subsidence rates of 13 cm/year in the center of the basin, in agreement with previous studies. The compressible deposits thickness map is significantly improved. We also test the coherence of Sentinel-1 data in the study region and evaluate the applicability of this methodology with the new satellite, which will improve the monitoring of aquifer-related subsidence and the mapping of variables governing this phenomenon.

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Section: Study Areasupporting

confidence: 60%

Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain)

et al. 2016

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“…Considering that piezometric level changes are one of the most important mechanisms that triggered surface deformation [34,35], the relationship between piezometric level and deformation is being studied due to its potential applications in aquifer resources management [11,12,36].…”

Section: Dinsar Datamentioning

confidence: 99%

“…The use of numerical groundwater flow models to reproduce the hydrodynamic behavior of an area and simulate spatial and temporal changes in piezometric levels, together with synthetic aperture radar differential interferometry (DInSAR) that detects surface movements, allows a global approach to assess main aquifer threats. Both techniques have been used to understand subsidence related to groundwater withdrawal [12] and calibrate hydrogeological and geomechanical parameters [13].…”

Section: Introductionmentioning

confidence: 99%

Groundwater and Subsidence Modeling Combining Geological and Multi-Satellite SAR Data over the Alto Guadalentín Aquifer (SE Spain)

et al. 2017

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In the current context of climate change, improving groundwater monitoring and management is an important issue for human communities in arid environments. The exploitation of groundwater resources can trigger land subsidence producing damage in urban structures and infrastructures. Alto Guadalentín aquifer system in SE Spain has been exploited since 1960 producing an average piezometric level drop of 150 m. This work presents a groundwater model that reproduces groundwater evolution during 52 years with an average error below 10%. The geometry of the model was improved introducing a layer of less permeable and deformable soft soils derived from InSAR deformation and borehole data. The resulting aquifer system history of the piezometric level has been compared with ENVISAT deformation data to calculate a first-order relationship between groundwater changes, soft soil thickness, and surface deformation. This relationship has been validated with the displacement data from ERS and CosmoSkyMed satellites. The resulting regression function is then used as an empirical subsidence model to estimate a first approximation of the deformation of the aquifer system since the beginning of the groundwater extraction, reaching 1 to 5.5 m in 52 years. These rough estimations highlight the limitations of the proposed empirical model, requiring the implementation of a coupled hydrogeomechanical model.

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“…A spatio-temporal analysis for mechanism recognition was performed, considering some factors and evidence, which might have relevance in explaining the patterns of ground motion, as observed in others ground motion areas by previous authors [44][45][46]: (i) the geotechnical properties of the deposits; (ii) the thickness of the superficial clayey soils and the hydrogeological setting; (iii) the distribution of damaged buildings; and (iv) land use change effects.…”

Section: Mechanism Recognition (Phase Iii)mentioning

confidence: 99%

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

2016

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Recent improvement to Advanced Differential Interferometric SAR (A-DInSAR) time series quality enhances the knowledge of various geohazards. Ground motion studies need an appropriate methodology to exploit the great potential contained in the A-DInSAR time series. Here, we propose a methodology to analyze multi-sensors and multi-temporal A-DInSAR data for the geological interpretation of areas affected by land subsidence/uplift and seasonal movements.The methodology was applied in the plain area of the Oltrepo Pavese (Po Plain, Italy) using ERS-1/2 and Radarsat data, processed using the SqueeSAR™ algorithm, and covering time spans, respectively, from 1992 to 2000 and from 2003 to 2010. The test area is a representative site of the Po Plain, affected by various geohazards and characterized by moderate rates of motion, ranging from −10 to 4 mm/yr. Different components of motion were recognized: linear, non-linear, and seasonal deformational behaviors. Natural and man-induced processes were identified such as swelling/shrinkage of clayey soils, land subsidence due to load of new buildings, moderate tectonic uplift, and seasonal ground motion due to seasonal groundwater level variations.

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Understanding the subsidence process of a quaternary plain by combining geological and hydrogeological modelling with satellite InSAR data: The Acque Albule Plain case study

Cited by 44 publications

References 53 publications

Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain)

Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain)

Groundwater and Subsidence Modeling Combining Geological and Multi-Satellite SAR Data over the Alto Guadalentín Aquifer (SE Spain)

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

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