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Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022

Articolo
Data di Pubblicazione:
2023
Abstract:
This paper describes the event landslide inventory map produced to record the ground effects of the extreme rainfall event that hit Umbria-Marche, central Italy, on 15th September 2022. The rainfall event hit an area of ~5,000 km2, with peak rainfall intensities of 419 mm in 9 hours, an exceptionally intense rainfall for this area. The event generated widespread flooding also outside the area affected by rainfall. The rainfall event produced widespread landslides across an area of nearly 1,000 km2. As a direct consequence of floods and landslides, many roads were interrupted and extensive damages were recorded to structures and infrastructures. The landslide inventory presented is the result of an extensive reconnaissance field survey covering a large neighbourhood of the area affected by the highest rainfall intensity. The inventory covers an area of 550 km2 and includes 1,687 landslides, corresponding to an average density of about 3.1 landslides per square kilometre. Landslide size (Landslide Area, AL in m2) is in the range ~1m2 A polygon shapefile of the AOI A polygon shapefile of the raw inventory A point shapefile of the raw inventory A polygon shapefile of the final inventory A point shapefile of the final inventory This dataset consistently supports the scale of 1:15 000. As a consequence, all polygons smaller than 225 m2 (i.e. a square of 1 mm per side in the map) in the raw data polygon layer were transformed into points because their size was too small to be represented as polygons at 1:15000 scale. Copyright: CC BY 4.0
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Geomorphology and earth surface processes; Natural hazards; Landslide inventory map; extreme rainfall events; Umbria; marche; Italy; field mapping
Elenco autori:
Grita, Susanna; Yazdani, Mina; Bornaetxea, Txomin; Bucci, Francesco; Marchesini, Ivan; Salvati, Paola; Santangelo, Michele; Bianchi, Cinzia; Alvioli, Massimiliano; Melillo, Massimo; Gariano, STEFANO LUIGI; Cardinali, Mauro; Ardizzone, Francesca; Brunetti, MARIA TERESA; Fiorucci, Federica; Esposito, Giuseppe; AL-THUWAYNEE, OMAR FAISAL SALIH; Peruccacci, Silvia; Donnini, Marco
Autori di Ateneo:
ALVIOLI MASSIMILIANO
ARDIZZONE FRANCESCA
BIANCHI CINZIA
BRUNETTI MARIA TERESA
BUCCI FRANCESCO
CARDINALI MAURO
DONNINI MARCO
ESPOSITO GIUSEPPE
FIORUCCI FEDERICA
GARIANO STEFANO LUIGI
MARCHESINI IVAN
MELILLO MASSIMO
PERUCCACCI SILVIA
SALVATI PAOLA
SANTANGELO MICHELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/460995
Pubblicato in:
SCIENTIFIC DATA
Journal
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URL

https://doi.org/10.1038/s41597-023-02336-3
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