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European Geosciences Union, Natural Hazards and Earth System Sciences, 3(9), p. 647-661, 2009

DOI: 10.5194/nhess-9-647-2009

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

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Subsidence is a natural hazard that affects wide areas in the world causing important economic costs annually. This phenomenon has occurred in the metropolitan area of Murcia City (SE Spain) as a result of groundwater overexploitation. In this work aquifer system subsidence is investigated using an advanced differential SAR interferometry remote sensing technique (A-DInSAR) called Stable Point Network (SPN). The SPN derived displacement results, mainly the velocity displacement maps and the time series of the displacement, reveal that in the period 2004–2008 the rate of subsidence in Murcia metropolitan area doubled with respect to the previous period from 1995 to 2005. The acceleration of the deformation phenomenon is explained by the drought period started in 2006. The comparison of the temporal evolution of the displacements measured with the extensometers and the SPN technique shows an average absolute error of 3.9±3.8 mm. Finally, results from a finite element model developed to simulate the recorded time history subsidence from known water table height changes compares well with the SPN displacement time series estimations. This result demonstrates the potential of A-DInSAR techniques to validate subsidence prediction models as an alternative to using instrumental ground based techniques for validation. ; The European Space Agency (ESA) Terrafirma project has funded all the SAR data processing with the SPN technique as well as the subsidence interpretation and modelling work presented above. Additionally, this work has been partially financed by the Spanish Geological and Mining Institute (IGME) with the collaboration of the Regional Government of Murcia and the universities of Alicante (UA) and Rey Juan Carlos (URJC). This work has been also supported by the Spanish Ministry of Science and Research (MICINN) and EU FEDER under project TEC2008-06764-C02-02.