A5009863420- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Tropical and Extratropical Cyclones Research
- Hydrological Forecasting Using AI
- Coastal and Marine Dynamics
- Land Use and Ecosystem Services
- Innovative Approaches in Technology and Social Development
- Water resources management and optimization
- Water Systems and Optimization
- Water-Energy-Food Nexus Studies
- Sustainability and Climate Change Governance
- Remote Sensing and LiDAR Applications
- Meteorological Phenomena and Simulations
- Disaster Management and Resilience
- Energy Load and Power Forecasting
- Municipal Solid Waste Management
- Soil erosion and sediment transport
- demographic modeling and climate adaptation
- Climate change impacts on agriculture
- Urban Heat Island Mitigation
- Big Data Technologies and Applications
- Transboundary Water Resource Management
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
Azienda-Unita' Sanitaria Locale Di Cesena
2007-2024
Ospedale Infermi di Rimini
2022-2024
Interventi Geo Ambientali (Italy)
2023
University of Bologna
2013
Rethinking cities in a more sustainable and integrated way is key opportunity for successful climate change adaptation disaster risk management. Nature-based solutions green infrastructures can help to safeguard urban nature biodiversity while providing multiple benefits reduce risks improve human well-being. mitigate flood by regulating storm-water runoff peak-flow. This paper investigates the effects of nature-based infrastructure networks on pluvial Milan metropolitan area terms direct...
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...
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...
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 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...
Pluvial floods, intensified by short-duration and high-intensity storms, are becoming increasingly frequent severe due to climate change urbanization. SaferPlaces addresses this with a digital twin platform that integrates high-resolution geospatial data from sources such as Google Earth Engine (GEE), Open Street Map (OSM), Microsoft Planetary, Amazon, Copernicus. These datasets automatically integrated construct detailed, multi-layered urban twins, enabling real-time flood hazard risk...
Abstract A topographic index (flood descriptor) that combines the scaling of bankfull depth with morphology was shown to describe tendency an area be flooded. However, this approach depends on quality and availability flood maps assumes outcomes can directly extrapolated downscaled. This work attempts relax these problems answer two questions: (1) Can functional relationships established between a descriptor geomorphic climatic‐hydrologic catchment characteristics? (2) If so, they used for...
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...
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,...
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...
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. Despite considerable efforts and progress in increasing resilience to natural hazards, the adverse socio-economic impacts of extreme weather events continue increase globally. As climate change progresses, disaster risk management needs alignment with adaptation measures. In this perspective paper, we discuss emerging complications during recent from an interoperability perspective. We argue that a lack between data models, information communication, governance are barriers...
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...