The first Thesis-poster, by Agnese Cavazzini, supervised by Gaia Roati and me, presents a hydrological study of the Secchia River basin using the GEOframe-NewAGE system. The research analyzes water balance and simulates river flow while generating soil moisture maps to identify drought-prone areas. Key elements include watershed division into sub-basins, mass balance equations, and calibration against measured data. Results show flow simulations at two monitoring stations and soil moisture anomaly maps. The successful implementation provides valuable insights into the basin's hydrological dynamics across Modena, Reggio Emilia, and Mantova provinces. You can get a high resolution poster by clicking on the Figure below..
The second Thesis-poster, by Lorenzo Dalsasso, presents a statistical analysis of ground precipitation patterns by Lorenzo Dalsasso. Using hourly precipitation data from three weather stations, the study evaluates which probability distributions best represent precipitation duration, intensity, and intervals between events. A Python notebook with Kolmogorov-Smirnov tests determined that lognormal distributions best fit precipitation durations, Weibull distributions best represent precipitation intensities, and either Weibull (stations ID 40 and 1100) or lognormal (station ID 263) best characterize intervals between precipitation events. The results include detailed statistical parameters for each station. The high resolution poster can be found by clicking on the Figure below.
Thr third thesis-poster presents Marco Feltrin's study on evapotranspirative fluxes in grapevines by integrating the GEOSPACE ecohydrological model with WiseConn sensor technology (dr. Marco Bezzi). The research compares two rainfall scenarios: a wet scenario (1147 mm of total precipitation) and a dry scenario (682.4 mm of total precipitation) to evaluate plant water stress. Using the one-dimensional GEOSPACE model with data from a vineyard near Verona, results show that the dry scenario led to half the plant transpiration during summer months. The model effectively demonstrates how water content throughout the soil column affects water stress in plants, with practical applications for irrigation management, water conservation, and predicting water availability for viticulture under changing climate conditions. The high resoltion poster can be found by clicking on the Figure below.
