A5055184570- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Tropical and Extratropical Cyclones Research
- Water resources management and optimization
- Cryospheric studies and observations
- Coastal and Marine Dynamics
- Meteorological Phenomena and Simulations
- Water Systems and Optimization
- Innovative Approaches in Technology and Social Development
- Remote Sensing and LiDAR Applications
- Energy Load and Power Forecasting
- Land Use and Ecosystem Services
- Transboundary Water Resource Management
- Sustainability and Climate Change Governance
- Soil Moisture and Remote Sensing
- Climate change impacts on agriculture
- Hydrology and Sediment Transport Processes
- Computational Physics and Python Applications
- Water-Energy-Food Nexus Studies
- Aquatic and Environmental Studies
- Geophysics and Gravity Measurements
- Soil Geostatistics and Mapping
- Groundwater and Watershed Analysis
Ospedale Infermi di Rimini
2022-2024
Azienda-Unita' Sanitaria Locale Di Cesena
2017-2024
Interventi Geo Ambientali (Italy)
2023
Sapienza University of Rome
2015
Climate services (CS) play a relevant role in providing tools for establishing societies resilient to global change considering its complex variability at multiple temporal and spatial scales. The involvement of end users the processes co-creation, co-development, co-evaluation CS, combined with integration local data (LD) knowledge (LK) forecast modelling enables development user-tailored improving impact climate predictions.The present work explains lessons learnt, terms CS usability,...
Our environment is characterized by a changing climate marked rapidly increasing frequency and intensity of extreme weather leading to compound multi-hazard events. This evolving reality accentuates diverse needs across various sectors, as each grapples with unique vulnerabilities adaptation requirements. Stakeholders, ranging from individuals, local communities governmental bodies private enterprises, need take measures mitigate these challenges. These heterogeneous ask for...
The increase in frequency and intensity of extreme precipitation events caused by the changing climate (e.g., cloudbursts, rainstorms, heavy rainfall, hail, snow), combined with high population density concentration assets, makes urban areas particularly vulnerable to pluvial flooding. Hence, assessing their vulnerability under current future scenarios is paramount importance. Detailed hydrologic-hydraulic numerical modeling resource intensive therefore scarcely suitable for performing...
Topography is a critical element in the hydrological response of drainage basin and its availability form Digital Elevation Models (DEM) has advanced modelling hydraulic processes. However, progress experienced these fields may stall, as intrinsic characteristics free DEMs limit new findings, while at same time releases free, high-accuracy, global digital terrain models are still uncertain. In this paper, limiting nature dissected context hydrogeomorphology. Nine sets data analysed: SRTM GL1...
Climate change and rapid expansion of urban areas are expected to increase pluvial flood hazard risk in the near future, particularly so large developed cities. Therefore, large-scale high-resolution mapping is required identify hotspots where mitigation measures may be applied reduce risk. Depressions or low points runoff volumes can stored prone flooding. The standard approach based on estimating synthetic design hyetographs assumes, a given depression, that T-year storm generates flood....
Climate change is affecting water quantity and quality, with severe impacts on agricultural production. The use of nature-based solutions to address these challenges increasing. Natural retention ponds have been identified as viable for management in agriculture. This paper aims characterize ponds, quantify their effectiveness, direct indirect benefits, costs. analyses the case Lamone river catchment Emilia-Romagna Region (Italy), characterized by large seasonal variability flow...
The use of climate services to support decision makers in incorporating change adaptation their practices is well established and widely recognized. Their role particularly relevant a sensitive sector like agriculture where they can provide evidence for the adoption transformative solutions from seasonal multi-decadal time scales. Adaptation are often expensive irreversible short/medium run. Accordingly, end users should have reliable reference make decisions. Here, we propose apply...
In this contribution we analyze the performance of a monthly river discharge forecasting model with Support Vector Regression (SVR) technique in European alpine area. We considered as predictors discharges antecedent months, snow-covered area (SCA), and meteorological climatic variables for 14 catchments South Tyrol (Northern Italy), well long-term average month prediction, also regarded benchmark. Forecasts at six-month lead time tend to perform no better than benchmark, an 33% relative...
Flooding has always been a huge threat to human society. Global climate change coupled with unsustainable regional planning and urban development may cause more frequent inundations and, consequently, higher societal economic losses. In order characterize floods reduce flood risk, simulation tools have developed widely applied. Hydrodynamic models for inundation are generally sophisticated, yet they normally require massive setup computational costs. contrast, simplified conceptual be easily...
Abstract Assessing the information provided by coproduced climate services is a timely challenge, given continuously evolving scientific knowledge and its increasing translation to address societal needs. Here, we propose joint evaluation verification framework assess prototype that provide seasonal forecast based on experience from Horizon 2020 (H2020) Climate forecasts enabled (CLARA) project. The quality value of generated CLARA were first assessed for five utilizing Copernicus Change...
This study proposes a climate service named Smart Climate Hydropower Tool (SCHT) and designed as hybrid forecast system for supporting decision-making in context of hydropower production. SCHT is technically to make use information from state-of-art seasonal forecasts provided by the Copernicus Data Store (CDS) combined with range different machine learning algorithms perform accumulated inflow discharges reservoir plants. The considered include support vector regression, Gaussian processes,...
Pluvial flooding is a major concern in urban environments with limited or temporarily reduced efficiency of surface drainage. Climate change, land use and increased exposure hazard prone areas play role increasing pluvial flood risks. We describe methodology for rapid probabilistic mapping risk assessments developed the Copernicus Change Service “Pluvial Flood Risk Assessment Urban Areas” demonstrator project large computational domains. The designed to be flexible robust enough adapted...
Abstract. The combined effect of global sea level rise and land subsidence phenomena poses a major threat to coastal settlements. Coastal flooding events are expected grow in frequency magnitude, increasing the potential economic losses costs adaptation. In Italy, large share population activities located along low-lying plain North Adriatic coast, one most sensitive areas relative changes. Over last half century, this stretch coast has experienced significant level, main component which was...
Abstract. Our study develops and tests a geostatistical technique for locally enhancing macro-scale rainfall–runoff simulations on the basis of observed streamflow data that were not used in calibration. We consider Tyrol (Austria Italy) two different types daily data: at 11 prediction nodes observations 46 gauged catchments. The consists three main steps: (1) period-of-record flow–duration curves (FDCs) are geostatistically predicted target ungauged basins, which model runs available; (2)...
We present a novel method for the direct determination of snowmelt coefficient widely used degree-day models, using only cumulated temperature and precipitation over days snow cover. develop proof concept (1) local measurements precipitation, water equivalent (SWE) at set well-monitored sites in US, (2) available time series cover from satellite gridded daily average study region South Tyrol, Italian Alps. demonstrate how can reproduce balance to an acceptable extent, critically depending on...
Climate services are attracting growing attention and interest as instruments to promote climate change adaptation. The transparent assessment of the potential value brought by can play a major role. It foster commitment user towards co-generation process increasingly central creation, provide developers important information better tailor service needs, finally increase recognition boosting confidence trust in tool. This study presents then demonstrates applicability an evaluation...
The increasing frequency and intensity of floods pose a significant threat to lives, property, infrastructure. Real-time flood forecasting is crucial for early warning systems disaster risk reduction. However, traditional methods often have limitations in terms accuracy timeliness. This paper, developed under the framework AI4Copernicus 5th Calls project, presents data-driven approach real-time water level using AI machine learning algorithms. proposed system based on hybrid model that...
Given the global scope of current climate crisis, it is important that be addressed in all sectors society. From increased risk extreme weather events, to heightened variability patterns, data and knowledge sharing among both citizens scientists alike necessary for planning a sustainable future. Thus, I-CISK project aims create human-centered, co-designed, co-created, co-implemented, co-evaluated service (CS), which allows citizens, stakeholders, decision-makers take climate-informed...
Climate change is a pressing issue that affects countries and communities around the world. As global temperatures intermittently, so do occurrences intensities of extreme weather events: which creates compounding, sometimes simultaneous, instances disasters. Thus, it evident there an urgent need for improved paradigms within Disaster Risk Management (DRM) climate adaptation (CCA) domains, to promote better risk assessment, governance, communication, systems prevent, respond, disaster...
The intensifying urban flood risks due to climate change necessitate innovative decision-support systems (DSS) for risk assessment and emergency management. SaferPlaces cloud web platform emerges as a transformative DSS, utilizing AI-based algorithms computing power enhance hazard preparedness in areas. By enabling users conduct large-scale, high-speed simulations economically, stands at the vanguard of resilience against flooding. At its core, harnesses Digital Twin technology create...
In May 2023, the region of Emilia-Romagna, Italy, experienced an unprecedented hydrological event when 350 million cubic meters rain fell over 36 hours, leading to widespread flooding and landslides. This disaster, affecting 100 municipalities, was compounded by antecedent drought conditions that had decreased soil's water absorption capacity. Earth observation (EO) data became critical, providing emergency services with means assess manage catastrophe facilitate post-event damage...