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

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).

Evaluation of the potential of InSAR time series to study the spatio-temporal evolution of piezometric levels in the Madrid aquifer

The Tertiary detritic aquifer of Madrid (TDAM), with an average thickness of 1500 m and a heterogeneous, anisotropic structure, supplies water to Madrid, the most populated city of Spain (3.2 million inhabitants in the metropolitan area). Besides its complex structure, a previous work focused in the north-northwest of Madrid city showed that the aquifer behaves quasi elastically trough extraction/recovery cycles and ground uplifting during recovery periods compensates most of the ground subsidence measured during previous extraction periods (Ezquerro et al., 2014). Therefore, the relationship between ground deformation and groundwater level through time can be simulated using simple elastic models. In this work, we model the temporal evolution of the piezometric level in 19 wells of the TDAM in the period 1997–2010. Using InSAR and piezometric time series spanning the studied period, we first estimate the elastic storage coefficient (Ske) for every well. Both, the Ske of each well and the average Ske of all wells, are used to predict hydraulic heads at the different well locations during the study period and compared against the measured hydraulic heads, leading to very similar errors when using the Ske of each well and the average Ske of all wells: 14 and 16 % on average respectively. This result suggests that an average Ske can be used to estimate piezometric level variations in all the points where ground deformation has been measured by InSAR, thus allowing production of piezometric level maps for the different extraction/recovery cycles in the TDAM.

Distribución de la gineta (Geneta geneta Linnaeus, 1758) en el Parque Natural de la Sierra de Mariola (C. Valenciana)

Este trabajo de investigación es pionero y original ya que nunca antes se ha realizado un estudio de la gineta (Genetta genetta) dentro del ámbito valenciano y más concretamente sobre la relación de su distribución con los factores geográficos que la condicionan en el PN Sierra de Mariola. Un mejor conocimiento de su ocupación en el espacio será de interés para la definición de medidas de gestión de fauna del Parque. Utilizando técnicas de fototrampeo se han recopilado 95.372 imágenes con algún contacto animal. De estas imágenes, el 0,10% de las fotografías registradas son de gineta y se ha detectado su presencia en 8 de las 63 cuadrículas (4 Km2) del PN Sierra de Mariola (12,70%). Este estudio ha permitido integrar la información recopilada en campo con las bases de datos existentes para concluir que la situación de la gineta en Sierra de Mariola no es preocupante.