A5074231933- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Precipitation Measurement and Analysis
- Hydrology and Sediment Transport Processes
- Meteorological Phenomena and Simulations
- Climate variability and models
- Disaster Management and Resilience
- Water Systems and Optimization
- Risk Perception and Management
- Public Relations and Crisis Communication
- Tropical and Extratropical Cyclones Research
- Water Quality Monitoring Technologies
- Soil erosion and sediment transport
- Climate Change Communication and Perception
- Dam Engineering and Safety
- Hydrological Forecasting Using AI
- Water-Energy-Food Nexus Studies
- Remote Sensing and LiDAR Applications
- Misinformation and Its Impacts
- Climate change impacts on agriculture
- Land Use and Ecosystem Services
- Urban Planning and Governance
- Soil Moisture and Remote Sensing
Sapienza University of Rome
2011-2025
Uppsala University
2016-2021
Centre of Natural Hazards and Disaster Science
2019-2021
University of Perugia
2016-2019
IHE Delft Institute for Water Education
2016
Universitat Autònoma de Barcelona
2015
University of Alicante
2014
Risk management has reduced vulnerability to floods and droughts globally1,2, yet their impacts are still increasing3. An improved understanding of the causes changing is therefore needed, but been hampered by a lack empirical data4,5. On basis global dataset 45 pairs events that occurred within same area, we show risk generally reduces faces difficulties in reducing unprecedented magnitude not previously experienced. If second event was much more hazardous than first, its impact almost...
Unmanned Aerial Vehicles (UAVs) are now filling in the gaps between spaceborne and ground-based observations enhancing spatial resolution temporal coverage of data acquisition. In realm hydrological observations, UAVs play a key role quantitatively characterizing surface flow, allowing for remotely accessing water body interest. this paper, we propose technology that uses sensing platform encompassing drone camera to determine level. The images acquired by means then analyzed using Canny...
Abstract. As the adverse impacts of hydrological extremes increase in many regions world, a better understanding drivers changes risk and is essential for effective flood drought management climate adaptation. However, there currently lack comprehensive, empirical data about processes, interactions, feedbacks complex human–water systems leading to impacts. Here we present benchmark dataset containing socio-hydrological paired events, i.e. two floods or droughts that occurred same area. The...
Abstract. Droughts are often long-lasting phenomena, without a distinct start or end and with impacts cascading across sectors systems, creating long-term legacies. Nevertheless, our current perceptions management of droughts their event-based, which can limit the effective assessment drought risks reduction impacts. Here, we advocate for changing this perspective viewing as hydrological–ecological–social continuum. We take systems theory focus on how “memory” causes feedback interactions...
Abstract. Droughts are often long lasting phenomena, without a distinct start or end, and with impacts cascading across sectors systems, creating long-term legacies. Nevertheless, our current perception management of droughts their is event-based, which can limit the effective assessment drought risks reduction impacts. Here, we advocate for changing this perspective viewing as hydro-eco-social continuum. We take systems theory focus on how “memory” causes feedback interactions between parts...
Statistical tools are crucial for a variety of hydrological applications, whether to model processes and enhance understanding knowledge or design infrastructure systems. Given the rapid evolution statistical methods need solid theoretical foundation their correct application, multidisciplinary community (STAHY-WG) aggregated under IAHS umbrella contribute this research field. Now, after more than fifteen years since its inception, paper summarizes main achievements productive collaboration...
This paper investigates the accuracy of models obtained by drone surveys. To this end, work analyzes how placement ground control points (GCPs) used to georeference dense point cloud a dam affects resulting three-dimensional (3D) model. Images double arch masonry upstream face are acquired from survey and build 3D model for vulnerability analysis purposes. However, there still remained issue understanding real impact correct GCPs location choice properly images thus, high number...
We investigate samples from two Italian regions, i.e. Lazio and Sicily, located in central south Italy, respectively, characterized by diverse climates. In engineering practice, the study of maxima daily rainfall values is commonly dealt with light-tailed probability distribution functions, such as Gumbel. The choice a rather than another may cause estimation errors associated to specific return periods. Recently, several studies demonstrate that heavy-tailed distributions are preferable for...
Floods are the natural hazards that causing most deaths worldwide. Flood early warning systems one of cost-efficient methods to reduce death rates, triggering decisions about evacuation exposed population. Although previous studies have investigated effect human behaviours on processes, analysing a combination behaviours, flood onset and timing limited. Our objective is explore how changes aforementioned factors can affect casualties. This done within modelling framework includes an...
What implications do societies' risk perceptions have for flood losses? This study uses a stylized, socio-hydrological model to simulate the mutual feedbacks between human societies and events. It integrates hydrological modelling with cultural theory proposes four ideal types of society that reflect existing dominant perception management: neglecting, monitoring, downplaying controlling societies. We explore consequent trajectories generated by interactions floods people these over time....
Drought is ranked second in type of natural phenomena associated with billion dollars weather disaster during the past years. It estimated that EU countries number people affected by drought was increased 20% over last decades. widely recognized Standardized Precipitation Index (SPI) can effectively provide characteristics time and space. The paper questions standard approach to estimate SPI based on Gamma probability distribution function, assessing fitting performance different...
Abstract. The 2022 European drought has underscored critical deficiencies in water management. This paper explores these shortcomings and suggests a way forward for risk Data this study was gathered through continent-wide survey of managers involved event. collected 481 responses from 30 countries is comprised 19 questions concerning sectorial impact the 55 regions responders management practices their organizations. Information enriched with climate-related information to offer...
Information-theory provides, among others, conceptual methods to quantify the amount of information contained in single random variables and shared two or more variables. Although these concepts have been successfully applied hydrology other fields, evaluation quantities is sensitive different assumptions estimation probabilities. An example histogram bin size used estimate probabilities calculate Information Theory via frequency methods. The present research aims at introducing a method...
Raindrop-impact-induced erosion starts when detachment of soil particles from the surface results an expenditure raindrop energy. Hence, rain kinetic energy is a widely used indicator potential ability to detach soil. Although it recognized that knowledge plays fundamental role in studies, its direct evaluation not straightforward. Commonly, this issue overcome through indirect estimation using another measured hydrological variable, namely, rainfall intensity. However, has been challenging...
Abstract. Flash flood events are floods characterised by a very rapid response of basins to storms, often resulting in loss life and property damage. Due the specific space-time scale this type flood, lead time available for triggering civil protection measures is typically short. Rainfall threshold values specify amount precipitation given duration that generates critical discharge river cross section. If exceeded, it can produce situation sites exposed alluvial risk. It therefore possible...
In this paper, we investigate the performance of three-dimensional (3D) hydraulic modeling when dealing with river sinuosity and meander bends. bends, flow is dominated by a secondary current, which has key role on redistribution. The induces transverse components bed shear stress increases velocity in outward direction, thus generating local erosion riverbed modifications. When 3D processes prevail, computational fluid dynamics (CFD) model required to correctly predict structure. An...
Abstract Recent literature in sociohydrology has shown the important role of flood memory shaping hydrological risk. In this paper, we present a system dynamics model human–flood interactions that simulates how river proximity human settlements is altered by changes memory. We also compare our outcomes with an unprecedented dataset consisting historical and archeological observations Czech Republic have been affected major events. This comparison allows us to evaluate potentials limitations...
Abstract Knowing how people perceive multiple risks is essential to the management and promotion of public health safety. Here we present a dataset based on survey (N = 4,154) risk perception in Italy Sweden during COVID-19 pandemic. Both countries were heavily affected by first wave infections Spring 2020, but their governmental responses very different. As such, offers unique opportunities investigate role shaping perception. In addition epidemics, considered indirect effects (domestic...
Abstract. Hydrological models are the basis of operational flood-forecasting systems. The accuracy these is strongly dependent on quality and quantity input information represented by rainfall height. Finer space-time resolution results in more accurate hazard forecasting. In this framework, an optimum raingauge network essential predicting flood events. This paper develops entropy-based approach to evaluate maximum content achievable a for different sampling time intervals. procedure based...
An accurate definition of river geometry is essential to implement one-dimensional (1D) hydraulic models and, in particular, appropriate spacing between cross-sections key for capturing a river's behaviour. This work explores the potential an entropy-based approach, as complementary method existing guidelines, determine optimal number support 1D modelling. To this end, given redundant collection cross-sections, location subset selected minimizing total correlation (as measure redundancy) and...