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Hydrological signals in height and gravity in northeastern Italy inferred from principal components analysis
Authors:S Zerbini  F Raicich  B Richter  V Gorini  M Errico
Institution:1. Dipartimento di Fisica, Università di Bologna, Viale Berti Pichat 8, I-40127 Bologna, Italy;2. CNR-Istituto di Scienze Marine, Sede di Trieste, V.le Romolo Gessi 2, I-34123, Trieste, Italy;3. Bundesamt fuer Kartographie und Geodaesie, Richard-Strauss-Allee 11, D-60598 Frankfurt am Main, Germany
Abstract:This work describes a study of GPS heights, gravity and hydrological time series collected by stations located in northeastern Italy. During the last 12 years, changes in the long-term behaviors of the GPS heights and gravity time series are observed. In particular, starting in 2004–2005, a height increase is observed over the whole area. The temporal and spatial variability of these parameters has been studied as well as those of key hydrological variables, namely precipitation, hydrological balance and water table by using the Empirical Orthogonal Functions (EOF) analysis. The coupled variability between the GPS heights and the hydrological balance and precipitation data has been investigated by means of the Singular Value Decomposition (SVD) approach. Significant common patterns in the spatial and temporal variability of these parameters have been recognized. In particular, hydrology-induced variations are clearly observable starting in 2002–2003 in the southern part of the Po Plain for the longest time series, and from 2004–2005 over the whole area. These findings, obtained by means of purely mathematical approaches, are supported by sound physical interpretation suggesting that the climate-related fluctuations in the regional/local hydrological regime are one of the main contributors to the observed variations. A regional scale signal has been identified in the GPS station heights; it is characterized by the opposite behavior of the southern and northern stations in response to the hydrological forcing. At Medicina, in the southern Po Plain, the EOF analysis has shown a marked common signal between the GPS heights and the Superconducting Gravimeter (SG) data both over the long and the short period.
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