A5086823945- Groundwater flow and contamination studies
- Hydrology and Watershed Management Studies
- Reservoir Engineering and Simulation Methods
- Flood Risk Assessment and Management
- Dam Engineering and Safety
- Water Systems and Optimization
- Geophysical and Geoelectrical Methods
- Hydraulic Fracturing and Reservoir Analysis
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Groundwater and Isotope Geochemistry
- Hydraulic flow and structures
- Experimental and Theoretical Physics Studies
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Water resources management and optimization
- Hydrological Forecasting Using AI
- demographic modeling and climate adaptation
- Soil and Unsaturated Flow
- Climate Change Policy and Economics
- Fluid dynamics and aerodynamics studies
- Cryospheric studies and observations
- Hydraulic and Pneumatic Systems
- Fluid Dynamics and Turbulent Flows
- Precipitation Measurement and Analysis
University of Parma
2014-2024
Politecnico di Milano
1999
The Mediterranean region is one of the most responsive areas to climate change and was identified as a major “hot-spot” based on global analyses. This study provides insight into local changes in under scope InTheMED project, which part PRIMA programme. Precipitation temperature were analyzed an historical period until end this century for five pilot sites, located between two shores region. We used ensemble 17 Regional Climate Models, developed framework EURO-CORDEX initiative,...
This study investigates the potential future state of a coastal karst aquifer located in Salento peninsula southern Italy, examining impact climate change. After historical and overview area, an analysis meteorological indices (SPIs SPEIs) groundwater levels (GWLs) during period revealed strong correlation between them. Then, straightforward linear regression models were applied to establish relationships SPIs/SPEIs GWLs for analysed wells. To estimate SPIs SPEIs, ensemble regional was used,...
This study develops three different artificial intelligence (AI) models in order to investigate the effects of climate change on groundwater resources using historical records precipitation, temperature and levels together with regional projections. In particular, Non-linear Autoregressive Neural Network (NARX), Long-Short Term Memory (LSTM) Convolutional (CNN) were compared. Considering an aquifer located northern Italy as a case study, neural networks trained replicate observed by taking...
Abstract Missing data is a frequent problem in meteorological and hydrological temporal observation sets. Finding effective solutions to this essential because complete time series are required conduct reliable analyses. This study used daily rainfall from 60 rain gauges spatially distributed within Portugal's Guadiana River basin over 30-year reference period (1976–2005). Gap-filling approaches using kriging-based interpolation methods (i.e. ordinary kriging simple cokriging) presented...
Regional climate projections are essential for guiding local governments in developing effective mitigation strategies. A common technique downscaling General Circulation Model (GCM) outputs is dynamical downscaling, but its high computational demands have motivated the search alternative approaches, including statistical downscaling. This study presents a two-phase framework to improve spatial resolution and accuracy of precipitation temperature projections. In first phase, Convolutional...
Abstract Estimating aquifer properties and their spatial variability is the most challenging part of groundwater flow transport simulations. In this work, an ensemble Kalman-based method, smoother with multiple data assimilation (ES-MDA), applied to infer characteristics a binary field by means tracer test collected in experimental sandbox. Two different approaches are compared: first one aims at estimating hydraulic conductivity over whole assuming that rest parameters known applying...
In this paper the problem of recovering temporal release history a pollutant is approached with geostatistical methodology that analyzes concentration measured at given time in aquifer. The adopted was developed by Snodgrass and Kitanidis [1997] for one‐dimensional flow transport. Here it extended to case two‐dimensional transport additional improvements are carried out, important consequences on technical applications. A literature numerical study used assess quality results performance...
The paper presents a new approach to identify the unknown characteristics (release history and location) of contaminant sources in groundwater, starting from few concentration observations at monitoring points. An inverse method that combines forward model an optimization algorithm is presented. To speed up computation, transfer function theory applied create surrogate transport model. performance developed evaluated on two case studies (literature one) under different scenarios measurement...
This study provides an up-to-date analysis of climate change over the Salento area (southeast Italy) using both historical data and multi-model projections Regional Climate Models (RCMs). The accumulated anomalies monthly precipitation temperature records were analyzed trends in variables identified quantified for two periods. are almost all cases not significant while shows statistically increasing tendencies especially summer. A clear changing point around 80s at end 90s was by minimum...
Abstract This paper investigates the potential impacts of climate change on water resources in northern Tuscany, Italy. A continuous hydrological model for each seven river basins within study area was calibrated using historical data. The models were then driven by downscaled and bias‐corrected projections an ensemble 13 regional (RCMs), under two different scenarios representative concentration pathway (RCP4.5 RCP8.5). examined at medium term (2031–2040) long (2051–2060) comparison with a...
The minimum relative entropy (MRE) method has been applied in a wide variety of fields since it was first introduced. Woodbury and Ulrych (Water Resour Res 29(8): 2847-2860, 1993, Water 32(9): 2671-2681, 1996) adopted improved this to solve linear inverse problems aquifers. In work, the MRE detect source release history 2-D aquifer characterized by non-uniform flow-field. approach tested on two cases: homogeneous conductivity field heterogeneous one (the hydraulic presents three orders...
Abstract Infiltration and illegal inflow into foul sewer systems can cause different problems such as a decrease in the performance of treatment plants, surcharge pipelines more frequent overflows, which negative impacts on environment. Water companies are increasingly been driven to address these by reducing infiltrations identifying sources inflows. Overall, traditional techniques applied cases expensive time consuming many times only partially efficient. Examples use CCTV inspections,...