Advanced interpretation of subsidence in Murcia (SE Spain) using A-DInSAR data – modelling and validation

Herrera, Gerardo; Fernández, José; Tomás, Roberto; Cooksley, G.; Mulas, J.

doi:10.5194/nhess-9-647-2009

Cited by 95 publications

(70 citation statements)

References 22 publications

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“…The statistical results of mean subsidence rate and pixel numbers of ALOS1 are shown in Figure 6 due to a more complete coverage compared with the other two satellites. We can see that the majority of the area is underlain by soft-soil thicknesses of 15-20 m, and the mean vertical velocity is growing with the increase of thickness, which agrees with the results of [30], i.e., maximum average deformation velocities are found on the thickest soft soils (>35 m), conversely, the mean velocity values calculated for the thinnest soft soils are satisfactorily within the precision range. The relationship between these two factors can help to interpret the mechanism of land subsidence.…”

Section: Rates Of Land Subsidencesupporting

confidence: 79%

Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010

Feng

Peng

2017

Applied Sciences

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Abstract:Over the past two decades, the Leizhou Peninsula has suffered from many geological hazards and great property losses caused by land subsidence. However, the absence of a deformation map of the whole peninsula has impeded the government in making the necessary decisions concerning hazard prevention and mitigation. This study aims to provide the evolution of land deformation (subsidence and uplift) in the whole peninsula from 1992 to 2010. A modified stacking procedure is proposed to map the surface deformation with JERS, ENVISAT, and ALOS1 images. The map shows that the land subsidence mainly occurs along the coastline with a maximum velocity of 32 mm/year and in a wide range of inland arable lands with a velocity between 10 and 19 mm/year. Our study suggests that there is a direct correlation between the subsidence and the surface geology. Besides, the observed subsidence in urban areas, caused by groundwater overexploitation for domestic and industrial use, is moving from urban areas to suburban areas. In nonurban areas, groundwater extraction for aquaculture and arable land irrigation are the main reason for land subsidence, which accelerates saltwater intrusion and coastline erosion if regular surface deformation measurements and appropriate management measures are not taken.

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Section: Rates Of Land Subsidencesupporting

confidence: 79%

Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010

Feng

Peng

2017

Applied Sciences

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“…The results reveal that the peaks of average LOS velocity are consistent with the maximum thickness of clayey-silty deposits. As a consequence, the thickness of the upper clayey-silty deposits seems to be a controlling factor of the rate of ground motion, as observed in others case histories, such as Murcia, Vega Media of the Segura River Basin, and Alto Guadalentín Basin in Spain [46][47][48], and along the Venice coast and Sibari plain in Italy [49,50].…”

Section: Comparison Between Ground Motion and Hydrogeological Settingsmentioning

confidence: 88%

“…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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“…In most of the cases, gentle subsidence, extending over large areas, develops slowly (even almost imperceptibly). The consequences of such phenomena could become severe, especially when the ground deformation is not smoothly distributed in the affected area (Cigna et al, 2012;Herrera, Fernandez, Tomas, Cooksley, & Mulas, 2009). …”

Section: Introductionmentioning

confidence: 99%

Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

2012

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Advanced interpretation of subsidence in Murcia (SE Spain) using A-DInSAR data – modelling and validation

Cited by 95 publications

References 22 publications

Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010

Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010

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

Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)

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