Subsidence activity maps derived from DInSAR data: Orihuela case study

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Title: Subsidence activity maps derived from DInSAR data: Orihuela case study
Authors: Sanabria, Margarita | Guardiola-Albert, Carolina | Tomás, Roberto | Herrera García, Gerardo | Prieto, Ángel | Sánchez, H. | Tessitore, Serena
Research Group/s: Ingeniería del Terreno y sus Estructuras (InTerEs)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Civil
Keywords: Subsidence activity maps | DInSAR data
Knowledge Area: Ingeniería del Terreno
Issue Date: 27-May-2014
Publisher: Copernicus Publications
Citation: Natural Hazards and Earth System Sciences. 2014, 14: 1341-1360. doi:10.5194/nhess-14-1341-2014
Abstract: A new methodology is proposed to produce subsidence activity maps based on the geostatistical analysis of persistent scatterer interferometry (PSI) data. PSI displacement measurements are interpolated based on conditional Sequential Gaussian Simulation (SGS) to calculate multiple equiprobable realizations of subsidence. The result from this process is a series of interpolated subsidence values, with an estimation of the spatial variability and a confidence level on the interpolation. These maps complement the PSI displacement map, improving the identification of wide subsiding areas at a regional scale. At a local scale, they can be used to identify buildings susceptible to suffer subsidence related damages. In order to do so, it is necessary to calculate the maximum differential settlement and the maximum angular distortion for each building of the study area. Based on PSI-derived parameters those buildings in which the serviceability limit state has been exceeded, and where in situ forensic analysis should be made, can be automatically identified. This methodology has been tested in the city of Orihuela (SE Spain) for the study of historical buildings damaged during the last two decades by subsidence due to aquifer overexploitation. The qualitative evaluation of the results from the methodology carried out in buildings where damages have been reported shows a success rate of 100%.
Sponsor: The European Space Agency (ESA) Terrafirma project has funded all the SAR data processing with the SPN technique. Additionally, this work has been partially financed by DORIS project (Ground deformation risk scenarios: an advanced assessment service) funded by the EC-GMES-FP7 initiative (grant agreement no. 242212), and the Spanish Geological and Mining Institute (IGME). This work has been also supported by the Spanish Ministry of Science and Research (MICINN) under project TEC2011-28201-C02-02 and EU FEDER.
ISSN: 1561-8633 (Print) | 1684-9981 (Online)
DOI: 10.5194/nhess-14-1341-2014
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Author(s) 2014. This work is distributed under the Creative Commons Attribution 3.0 License
Peer Review: si
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Appears in Collections:INV - INTERES - Artículos de Revistas
Research funded by the EU

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