GNGTS 2016 - Atti del 35° Convegno Nazionale
236 GNGTS 2016 S essione 1.2 component is sensitive to the regional load of water masses acting at a scale larger than the karst aquifers. Data. In this work we use GPS data and three different kinds of observables that provide information about hydrological phenomena: rain-gauge data, spring discharge data and TWS (terrestrial water storage) observations estimated by the GRACE satellite mission (Tapley et al. , 2004). Fig. 2 – Observed (black) and modelled (red) GPS velocities (with 95% CI ellipses) calculated as deviation from the long-term trend in a period of decreasing precipitation and karst aquifer exhaustion (T1, top) and in a period of increasing precipitation and aquifer recharge (T2, bottom). The thick blue lines indicate the position of the vertical tensile dislocations used in the model. The blue circle indicates the position of the Caposele spring (CP), the blue triangles indicate the position of Senerchia (SC) and Gioi Cilento (GC) rain-gauges. The plots on the right side represent the cross-sections along the dotted lines on the maps. Topography (green line), observed rates (black circles with error bars), modelled rates along the profile (red line) and position of the dislocation (vertical dashed blue line) are shown.
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