A5003761035- Flood Risk Assessment and Management
- Landslides and related hazards
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Disaster Management and Resilience
- Tree Root and Stability Studies
- Business and Economic Development
- Economic and Business Development Strategies
- Land Use and Ecosystem Services
- Cultural Heritage Management and Preservation
- Seismology and Earthquake Studies
- Dam Engineering and Safety
- Urban Planning and Valuation
University of Florence
2022-2025
This dataset collects tabular and geographical information about all hydrogeological disasters (landslides floods) that occurred in Italy from 2013 to 2022 caused such severe impacts as require the declaration of national-level emergencies. The severity spatiotemporal extension each emergency are characterized terms duration timing, funds requested by local administrations, approved national government, municipalities provinces hit event (further subdivided between those included not,...
Abstract This study proposes an innovative approach to develop a regional-scale landslide forecasting model based on rainfall thresholds optimized for operational early warning. In particular, it addresses two main issues that usually hinder the implementation of this kind models: (i) excessive number false alarms, resulting in civil protection system activation without any real need, and (ii) validation procedure, performed over periods too short guarantee reliability. To overcome these...
Abstract Regional- and national-scale landslide warning systems are usually based on rainfall thresholds that forecast the possibility of occurrence over wide spatial units called alert zones (AZs). This work proposes a substantial improvement state-of-the-art by combining threshold outcomes with set spatially explicit risk indicators aggregated at municipality level. The combination these two different techniques is performed means dynamic matrix, which was purposely calibrated to provide...
We propose a national scale landslide nowcasting system for Italy (300,000 km2) by combining rainfall thresholds with set of spatially explicit risk indicators. The combination these two very different elements is obtained through dynamic matrix, which was purposely calibrated to provide an output in the form five possible levels expected (from R0 R4). These are connected growing intensity impacts and pre-defined confidence issuing warnings without omitting alarms.A specific defined each 150...
Preserving cultural heritage from natural hazards is of paramount importance due to the role that plays in supporting community resilience and economic activities. Therefore, being able map risk faced by heritage, especially a multi-risk perspective, useful provide policy-making tool which highlights hotspot areas.In this work, we present preliminary version at national scale considering flood, earthquake, landslide wildfire hazards, Italy. The exposure dataset provided Italian Ministry...
Abstract The frequency of occurrence hydrogeological disasters (HGDs), as well the persistence their impacts, are not evenly distributed. Hazardous areas, by definition, more prone to extreme events, while in densely urbanized regions, impacts these events tend be severe. objective this study is investigate statistical relationships between urban and natural environment features HGD occurrences. Taking Italian provinces a comprehensive case study, we assessed coefficient determination, χ 2...
Landslide hazard management usually requires time-consuming campaigns of data acquisition, elaboration, and modeling. However, in the post-emergency phase management, time is a factor, simpler but faster methods analysis are needed to support decisions even short-term. This paper analyzes Theilly landslide (Western Italian Alps), which was recently affected by series reactivations. While some instrumental being carried out design protection measures, simple tools also assess future...
A regional-scale landslide forecasting model based on rainfall thresholds was optimized for operational early warning. In particular, we addressed two main issues that usually hinder the implementation of this kind models: (i) excessive number false alarms, resulting in civil protection system activation without any real need, and (ii) validation procedure, performed over periods too short to guarantee reliability. To overcome these limitations, several techniques reducing alarms were...
Climate change and urban expansion are significantly contributing to an increase in catastrophic hydro-geomorphological events, which cause huge damage society economy. Since Italy is a relevant hot spot for these it was taken as comprehensive case study this work. The general aim analyze the interrelations between recurrence of disasters at province municipality level expansion. All carried-out analyses based on dataset municipalities provinces affected by recent national-level state...
Climate change and urban expansion are contributing to a considerable increase in catastrophic atmospheric hydro-geological events, which cause significant damage the social fabric.This work takes Italy as nation-wide case of study with twofold objective: first, we compiled dataset recent disasters for state emergency was declared; second, focused on interconnections between occurrence at municipality level.The built thanks collaboration Italian National Civil Protection Department, from...
Landslide hazard management usually requires time-consuming campaigns of data acquisition, elaboration, and modeling. However, in the post-emergency phase management, time is a factor, simple but fast methods analysis are needed to support decisions short-term. This paper analyzes Theilly landslide (Western Italian Alps), which was recently affected by series reactivations. While some instrumental (aimed at supporting physics-based modeling design effective protection measures) were still...