Study area and available data Sample Clauses

Study area and available data. The study area (1.7 km2) is the lower part of the Briga catchment (Fig. 3.1) located in the Xxxxxxx province, along the Ionian coast of Sicily (Italy). On 1 October 2009, the area was hit by a high intensity storm with more than 220 mm of rain in 7 hours measured at the St. Xxxxxxx xx Xxxxx rain gauge (Xxxxxxx and Xxxxx 2011). The rainfall event triggered more than 1000 shallow landslides, mainly shallow soil slides and debris flows, in an area of about 60 km2. Landslides and inundation caused 37 fatalities, numerous injured people and severe damages in the affected villages and along the transportation network. After the event, for the test area the following thematic data were prepared: (i) a detailed and accurate landslide inventory map at 1:10,000; (ii) two land-use maps and (iii) a Very High- Resolution DEM (1 m × 1 m).
Sample 1
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Study area and available data. A landslide susceptibility model at regional scale was prepared for the Umbria region where high quality landslide inventory map was available. The main landslide types, considered in the inventory are shallow and deep-seated slides. The Umbria region extends for 8,464 km2 in central Italy (Fig. 3.7) with elevation ranging from 38 m along the Nera River flood plain to 2448 m on the Sibillini chain (“Cima del Redentore” mount). In this region, the landscape is hilly or mountainous, with large open valleys and intra mountain basins drained by the Tiber River and its tributaries. The climate is Mediterranean and rainfall occurs mostly from October to December and from March to May. In the area, sedimentary rocks, pertaining to the Umbria- Marche stratigraphic sequence, Lias to Eocene in age, overlaid by lake deposits, lower Pliocene to Quaternary in age, and by fluvial deposits of recent age (Servizio Geologico D’Italia, 1980) crop out. Figure 3.7. Map showing the location of the Umbria Region (Central Italy). To prepare the landslide susceptibility model, we used the following set of data:
Sample 1

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