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Alessia Di Giovanni, Diego Di Curzio, Davide Pantanella, Cristiana Picchi and Sergio Rusi
Recently, new numerical methods have been applied to weather data for the estimation of water budget, especially when the lack of measured data is considerable. Geostatistics is one of the most powerful approaches when it comes to studying spatially rele...
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Diego Di Curzio, Alessia Di Giovanni, Raffaele Lidori, Mario Montopoli and Sergio Rusi
Accurate knowledge of the rain amount is a crucial driver in several hydrometeorological applications. This is especially true in complex orography territories, which are typically impervious, thus, leaving most mountain areas ungauged. Due to their spat...
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Diego Di Curzio, Sergio Rusi, Alessia Di Giovanni and Emanuele Ferretti
The hilly landscape of the Periadric area in Central Italy is characterized by mainly marly?clayey foredeep basin deposits (Plio?Pleistocene age). These lithotypes are generally considered aquicludes, if compared with the regional limestone aquifers of A...
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Marino Domenico Barberio, Francesca Gori, Maurizio Barbieri, Andrea Billi, Roberto Devoti, Carlo Doglioni, Marco Petitta, Federica Riguzzi and Sergio Rusi
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Alessandro Chiaudani, Diego Di Curzio, William Palmucci, Antonio Pasculli, Maurizio Polemio and Sergio Rusi
In this research, univariate and bivariate statistical methods were applied to rainfall, river and piezometric level datasets belonging to 24-year time series (1986?2009). These methods, which often are used to understand the effects of precipitation on ...
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