Advertisement

Geostatistical Analysis of PSI Radar Data: A Methodology to Assess Serviceable Limit State of Buildings

  • Margarita P. SanabriaEmail author
  • Carolina Guardiola-Albert
  • Roberto S. Tomás
  • Geraint Cooksley
  • Gerardo Herrera
Conference paper
Part of the Lecture Notes in Earth System Sciences book series (LNESS)

Abstract

A new methodology to assess serviceability limit state of buildings is presented. It is based on the geostatistical analysis of advanced radar interferometry (PSI) results. This methodology has been tested in the historical buildings of Orihuela City (SE Spain), damaged during the last two decades due to ground subsidence caused by aquifer overexploitation. Results demonstrate that the proposed PSI post-processing methodology can be a cost effective tool to rapidly identify potential problematic buildings and infrastructures in urban areas where forensic analysis should be made.

Keywords

Orihuela Ssubsidence DInSAR Geotechnical Geostatistical 

References

  1. 1.
    Bru, G., Herrera, G., Tomás, R., Duro, J., De la Vega, R., Mulas, J. (2010). Control of deformation of buildings affected by subsidence using persistent scatterer interferometry. Structure and Infrastructure Engineering, 9, 1–13.Google Scholar
  2. 2.
    Cascini, L., Ferlisi, S., Peduto, D., Fornaro, G., & Manunta, M. (2007). Analysis of a subsidence phenomenon via DInSAR data and geotechnical criteria. Italian Geotechnical Journal, 41(4), 50–67.Google Scholar
  3. 3.
    Tomás, R., García-Barba, J., Cano, M., Sanabria, M. P., Ivorra, S., Duro, J., et al. (2012). Subsidence damage assessment of a gothic church using Differential Interferometry and field data. Structural Health Monitoring, 11(6), 751–762.CrossRefGoogle Scholar
  4. 4.
    Delgado, J., Alfaro, P., Andréu, J. M., et al. (2003). Engineering-geological model of the Segura River flood plain (SE Spain): A case study for engineering planning. Engineering Geology, 68, 171–187.CrossRefGoogle Scholar
  5. 5.
    Tomas, R., Herrera, G., Lopez-Sanchez, J. M., et al. (2010). Study of the land subsidence in the Orihuela city (SE Spain) using PSI data: Distribution, evolution and correlation with conditioning and triggering factors. Engineering Geology, 115, 105–121.CrossRefGoogle Scholar
  6. 6.
    Gómez-Hernández, J. J. & Journel, A. G. (1993). Joint sequential simulation of multiGaussian fields. In A. Soa-re (Ed.), Geostatistics Tróia ’92 (Vol. 1, PP. 85–94). Boston: Kluwer Academic Publishers.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Margarita P. Sanabria
    • 1
    Email author
  • Carolina Guardiola-Albert
    • 2
  • Roberto S. Tomás
    • 3
  • Geraint Cooksley
    • 4
  • Gerardo Herrera
    • 2
  1. 1.Departamento de Infraestructura Geocientífica y ServiciosInstituto Geológico y Minero de EspañaMadridSpain
  2. 2.Departamento de Investigación y Prospectiva GeocientíficaInstituto Geológico y Minero de EspañaMadridSpain
  3. 3.Departamento de Ingeniería CivilUniversidad de AlicanteAlicanteSpain
  4. 4.Altamira InformationBarcelonaSpain

Personalised recommendations