Proceedings of IAHS
Proceedings of IAHS
Proceedings of IAHS
Articles | Volume 372
Articles | Volume 372
Proc. IAHS, 372, 45–48, 2015
https://doi.org/10.5194/piahs-372-45-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 372, 45–48, 2015
https://doi.org/10.5194/piahs-372-45-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 372
 
12 Nov 2015
12 Nov 2015

Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)

R. Bonì1, G. Herrera2,3,4, C. Meisina1, D. Notti1,10, M. Béjar-Pizarro2,3, F. Zucca1, P. J. González5, M. Palano6, R. Tomás3,7, J. Fernández8, J. A. Fernández-Merodo2,3, J. Mulas2,3, R. Aragón2,3, C. Guardiola-Albert2, and O. Mora9 R. Bonì et al.
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  • 1Department of Earth and Environmental Science, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
  • 2Geohazards InSAR laboratory and modeling group, Instituto Geológico y Minero de España (IGME), C/. Alenza 1, 28003 Madrid, Spain
  • 3Unidad Asociada de investigación IGME-UA de movimientos del terreno mediante interferometría radar (UNIRAD), Universidad de Alicante, P.O. Box 99, 03080 Alicante, Spain
  • 4Earth Observation and Geohazards Expert Group (EOEG), EuroGeoSurveys, the Geological Surveys of Europe, 36–38, Rue Joseph II, 1000 Brussels, Belgium
  • 5Institute of Geophysics and Tectonics, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
  • 6INGV Sezione di Catania, Piazza Roma 2, 95123 Catania, Italy
  • 7Universidad de Alicante, Dpto. de Ingeniería Civil, Escuela Politécnica Superior de Alicante, P.O. Box 99, 03080 Alicante, Spain
  • 8Instituto de Geociencias, UCM-CSIC, Plaza de Ciencias 3, Ciudad Universitaria, 28040 Madrid, Spain
  • 9Altamira Information, C/. Còrsega 381-387, 08037 Barcelona, Spain
  • 10Departamento de Geodinámica, Universidad de Granada, Avenida Fontenueva, Granada, Spain

Abstract. Multi-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (> 10 cm yr−1) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).

How to cite. Bonì, R., Herrera, G., Meisina, C., Notti, D., Béjar-Pizarro, M., Zucca, F., González, P. J., Palano, M., Tomás, R., Fernández, J., Fernández-Merodo, J. A., Mulas, J., Aragón, R., Guardiola-Albert, C., and Mora, O.: Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain), Proc. IAHS, 372, 45–48, https://doi.org/10.5194/piahs-372-45-2015, 2015.
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Short summary
Multi-sensor advanced DInSAR analyses have been performed, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (>10 cm/yr-) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).
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