Landslide hazard assessment in the Collazzone area, Umbria, Central Italy
We present the results of the application of a recently proposed model to determine landslide hazard. The model predicts where landslides will occur, how frequently they will occur, and how large they will be in a given area. For the Collazzone area, in the central Italian Apennines, we prepared a m...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2006-01-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | http://www.nat-hazards-earth-syst-sci.net/6/115/2006/nhess-6-115-2006.pdf |
| _version_ | 1811265173087846400 |
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| author | F. Guzzetti M. Galli P. Reichenbach F. Ardizzone M. Cardinali |
| author_facet | F. Guzzetti M. Galli P. Reichenbach F. Ardizzone M. Cardinali |
| author_sort | F. Guzzetti |
| collection | DOAJ |
| description | We present the results of the application of a recently proposed model to determine landslide hazard. The model predicts where landslides will occur, how frequently they will occur, and how large they will be in a given area. For the Collazzone area, in the central Italian Apennines, we prepared a multi-temporal inventory map through the interpretation of multiple sets of aerial photographs taken between 1941 and 1997 and field surveys conducted in the period between 1998 and 2004. We then partitioned the 79 square kilometres study area into 894 slope units, and obtained the probability of spatial occurrence of landslides by discriminant analysis of thematic variables, including morphology, lithology, structure and land use. For each slope unit, we computed the expected landslide recurrence by dividing the total number of landslide events inventoried in the terrain unit by the time span of the investigated period. Assuming landslide recurrence was constant, and adopting a Poisson probability model, we determined the exceedance probability of having one or more landslides in each slope unit, for different periods. We obtained the probability of landslide size, a proxy for landslide magnitude, by analysing the frequency-area statistics of landslides, obtained from the multi-temporal inventory map. Lastly, assuming independence, we determined landslide hazard for each slope unit as the joint probability of landslide size, of landslide temporal occurrence, and of landslide spatial occurrence. |
| first_indexed | 2024-04-12T20:18:53Z |
| format | Article |
| id | doaj.art-0b55022f1a954214996f2d8bac8bbc43 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-04-12T20:18:53Z |
| publishDate | 2006-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-0b55022f1a954214996f2d8bac8bbc432022-12-22T03:18:03ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812006-01-0161115131Landslide hazard assessment in the Collazzone area, Umbria, Central ItalyF. GuzzettiM. GalliP. ReichenbachF. ArdizzoneM. CardinaliWe present the results of the application of a recently proposed model to determine landslide hazard. The model predicts where landslides will occur, how frequently they will occur, and how large they will be in a given area. For the Collazzone area, in the central Italian Apennines, we prepared a multi-temporal inventory map through the interpretation of multiple sets of aerial photographs taken between 1941 and 1997 and field surveys conducted in the period between 1998 and 2004. We then partitioned the 79 square kilometres study area into 894 slope units, and obtained the probability of spatial occurrence of landslides by discriminant analysis of thematic variables, including morphology, lithology, structure and land use. For each slope unit, we computed the expected landslide recurrence by dividing the total number of landslide events inventoried in the terrain unit by the time span of the investigated period. Assuming landslide recurrence was constant, and adopting a Poisson probability model, we determined the exceedance probability of having one or more landslides in each slope unit, for different periods. We obtained the probability of landslide size, a proxy for landslide magnitude, by analysing the frequency-area statistics of landslides, obtained from the multi-temporal inventory map. Lastly, assuming independence, we determined landslide hazard for each slope unit as the joint probability of landslide size, of landslide temporal occurrence, and of landslide spatial occurrence.http://www.nat-hazards-earth-syst-sci.net/6/115/2006/nhess-6-115-2006.pdf |
| spellingShingle | F. Guzzetti M. Galli P. Reichenbach F. Ardizzone M. Cardinali Landslide hazard assessment in the Collazzone area, Umbria, Central Italy Natural Hazards and Earth System Sciences |
| title | Landslide hazard assessment in the Collazzone area, Umbria, Central Italy |
| title_full | Landslide hazard assessment in the Collazzone area, Umbria, Central Italy |
| title_fullStr | Landslide hazard assessment in the Collazzone area, Umbria, Central Italy |
| title_full_unstemmed | Landslide hazard assessment in the Collazzone area, Umbria, Central Italy |
| title_short | Landslide hazard assessment in the Collazzone area, Umbria, Central Italy |
| title_sort | landslide hazard assessment in the collazzone area umbria central italy |
| url | http://www.nat-hazards-earth-syst-sci.net/6/115/2006/nhess-6-115-2006.pdf |
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