The integration of Differential Interferometric Synthetic Aperture Radar (DInSAR) displacement data with ground-based monitoring and ancillary multi-source information (deriving from geological-geomorphological-geotechnical analyses and damage surveys to the built-up environment) can nowadays provide a useful support to activities pursuing the management and protection of structures (e.g., buildings) and infrastructure (including roads, bridges, embankments) exposed to slow-moving landslide risk. Indeed, the implementation of the most suitable risk mitigation strategies requires appropriate procedures tailored on the quality and quantity of available datasets and their joint use according to the scope and the related scale of analysis. As a result of a 15-year multidisciplinary joint research activity, this paper presents a multi-scale methodology which is applied to buildings affected by slow-moving landslides located in selected areas of the Cosenza Province (Calabria region, southern Italy).

Analisi e valutazione dei dati relativi al tema Frane, legenda preliminare, Carte inventario (25.000-100.000).

SIT dedicato al tema Frane

Inventario e illustrazione delle cartografie disponibili relative al tema Frane.

Report attività svolte nel primo semestre

This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries. The FFEM-DB is expandable, regularly updated, publicly available, and with anonymized data. The key advantages of the FFEM-DB compared to existing datasets containing flood fatalities are its high level of detail, data accuracy, record completeness, and the large sample size from an extended area.

The reconnaissance, mapping and analysis of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/infrastructures and human activities that can conceal morphological signs of landslide activity. The paper presents an integrated approach to investigate the boundaries, type of movement, kinematics and interactions (in terms of damage severity distribution) with the built environment of a roto-translational slow-moving landslide affecting the historic centre of Lungro town (Calabria region, southern Italy). For this purpose, ancillary multi-source data (e.g. geological-geomorphological features and geotechnical properties of geomaterials), both conventional inclinometer monitoring and innovative non-invasive remote sensing (i.e. A-DInSAR) displacement data were jointly analyzed and interpreted to derive the A-DInSAR-geotechnical velocity (DGV) map of the landslide. This result was then cross-compared with detailed information available on the visible effects (i.e. crack pattern and width) on the exposed buildings along with possible conditioning factors to displacement evolution (i.e. remedial works, sub-services, etc.). The full integration of multi-source data available at the slope scale, by maximizing each contribution, provided a comprehensive outline of kinematic-geometric landslide features that were used to investigate the damage distribution and to detect, if any, anomalous locations of damage severity and relative possible causes. This knowledge can be used to manage landslide risk in the short term and, in particular, is propaedeutic to set up an advanced coupled geotechnical-structural model to simulate both the landslide displacements and the behavior of interacting buildings and, therefore, to implement appropriate risk mitigation strategies over medium/long period.

. Le frane e la loro conoscenza, essenziale per progettare gli interventi che concorrono alla gestione del rischio, presentano notevoli complessità e richiedono un impegno rilevante di tempo e di risorse. L'analisi sistematica dei risultati di studi su frane rappresentative in contesti geo-ambientali e sociali omogenei consente di individuare "famiglie" di frane tipizzate costituite da due o più frane che presentano un adeguato numero di elementi caratteristici simili (geomateriali, profondità massima, velocità caratteristiche, ecc.). Il metodo proposto nella nota consente una comprensione più rapida dei meccanismi di frana riconducibili ad una famiglia di frane tipizzate e, ancora, di trasferire e utilizzare le conoscenze dal singolo versante, all'area vasta ed all'analisi regionale in maniera circolare ed efficace. La diffusione delle rocce metamorfiche in Calabria, gneissiche in particolare, e il profondo grado di alterazione che le caratterizza, le espone ad un'elevata suscettibilità alle frane. In tale scenario, il metodo proposto ed i risultati che fornisce costituiscono utili strumenti per la definizione di efficaci strategie di intervento per l'adattamento, la mitigazione e la riduzione del rischio da frana. Utilizzando risultati relativi ad aree e siti oggetto di studi interdisciplinari, sono illustrati nella nota gli elementi di frana tipizzati con i livelli di analisi considerati (regionale, su area vasta e di dettaglio). La discussione dei risultati delinea la praticabilità del percorso proposto e conferma l'utilità a sviluppare l'approccio, con i dovuti approfondimenti e le necessarie precisazioni, per altri contesti geoambientali. Si rileva, in conclusione, come la disponibilità di frane tipizzate consente su area vasta di pianificare le priorità degli interventi e di programmare al meglio l'utilizzo delle risorse disponibili, mentre per il singolo versante permette di massimizzare le conoscenze a parità di risorse disponibili e, quindi, di garantire una maggiore sostenibilità socio-economica degli interventi nel medio-lungo termine. Gli elementi tipizzati con livello di analisi regionale indirizzano, infine, la scelta di aree di studio rappresentative di particolari possibili condizioni di rischio.

EUropean Flood Fatalities (EUFF) database 1980-2018

Recent events in Western Attica in Greece (24 deaths in November 2017), in the Balearic Islands (13 deaths in October 2018), and in southern France (15 deaths in October 2018) show that flood-related mortality remains a major concern in Mediterranean countries facing flash floods. Over the past several years, many initiatives have arisen to create databases on flood-related mortality. An international initiative started in 2011 pooling regional and national databases on flood mortality from region and/or countries bordering the Mediterranean Sea. The MEditerranean Flood Fatality Database (MEFF DB) brings together, in 2018, six Mediterranean regions/countries: Catalonia (Spain), Balearic Islands (Spain), Southern France, Calabria (Italy), Greece, and Turkey, and covers the period 1980-2018. MEFF DB is on progress and, every year, new data are included, but for this study, we kept only the preliminary data that were geolocated and validated on 31st of December 2018. This research introduces a new step in the analysis of flood-related mortality and follows the statistical description of the MEFF DB already published. The goals of this paper are to draw the spatial distribution of flood mortality through a geographical information system (GIS) at different spatial scales: country, NUTS 3 (Nomenclature of Territorial Units for Statistics. Level 3) regions, catchment areas, and grid. A fatality rate (F: number of deaths/year/million of inhabitants) is created to help this analysis. Then, we try to relate mortality to basic (human or physical) drivers such as population density, rainfall seasonality, or rainfall frequency across the Mediterranean Basin. The mapping of F shows a negative mortality gradient between the western and the eastern parts of the Mediterranean Sea. The south of France appears to be the most affected region. The maps also highlight the seasonality of flood-related deaths with the same west-east gradient. It confirms that flood mortality follows the climatological seasonal patterns across the Mediterranean Basin. Flood-related fatalities mainly occur during the early fall season in the western part of the Mediterranean area, while the Easter Basin is affected later, in November or during the winter season. Eastern Turkey introduces another pattern, as mortality is more severe in summer. Mortality maps are then compared with factors that potentiallycontribute to the occurrence of flood fatalities, such as precipitation intensity (rainfall hazard), to explain geographical differences in the fatality rate. The density of a fatal event is correlated to the population density and the rainfall frequency. Conversely, the average number of deaths per event depends on other factors such as prevention or crisis management.

Validazione e rilascio di algoritmi per CELLE_MATRICE_S giovani e mature

Celle Giovani e Mature. WP04-Task02-CNR-IRPI.

Criteri, riferimenti e dati per le procedure di costruzione degli algoritmi di gestione del rischio in funzione del peso conoscitivo delle celle della MATRICE_S (CELLE_MATRICE_S)

RMS_FILIERA-Risk Manegement System-Secondo SAL-Relazione CNR-IRPI.

Validazione e rilascio tecnologie abilitanti, strumenti di gestione di condizioni ordinarie e di emergenze, e di strumenti di diffusione. WP05-Task04-CNR-IRPI. Progetto "RMS_Filiera - Risk Management System"

"RMS_Filiera - Risk Management System", Validazione e rilascio dei risultati.

Capacità di RMS_Filiera, prodotti potenziabili ed approfondimenti necessari

Relazione Finale CNR-IRPI

Proposta metodologica per la gestione del rischio residuo nell'area urbana di Maierato (frana del 2010).

Proposta metodologica per la gestione della Rete Integrata di Monitoraggio (RIMon) nell'area urbana di Maierato (frana del 2010 e dintorni)