 |
| Titel |
Vulnerability assessment of Central-East Sardinia (Italy) to extreme rainfall events |
| VerfasserIn |
A. Bodini, Q. A. Cossu |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 10, no. 1 ; Nr. 10, no. 1 (2010-01-14), S.61-72 |
| Datensatznummer |
250007876
|
| Publikation (Nr.) |
 copernicus.org/nhess-10-61-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| In Sardinia (Italy), the highest frequency of extreme events is recorded in
the Central-East area (3–4 events per year). The presence of high and steep
mountains near the sea on the central and south-eastern coast, causes an
East-West precipitation gradient in autumn especially, due to hot and moist
currents coming from Africa. Soil structure and utilization make this area
highly vulnerable to flash flooding and landslides. The specific purpose of
this work is to provide a description of the heavy rainfall phenomenon on a
statistical basis. The analysis mainly focuses on i) the existence of trends
in heavy rainfall and ii) the characterization of the distribution of
extreme events. First, to study possible trends in extreme events a few
indices have been analyzed by the linear regression test. The analysis has
been carried out at annual and seasonal scales. Then, extreme values
analysis has been carried out by fitting a Generalized Pareto Distribution
(GPD) to the data. As far as trends are concerned, different results are
obtained at the two temporal scales: significant trends are obtained at the
seasonal scale which are masked at the annual scale. By combining trend
analysis and GPD analysis, the vulnerability of the study area to the
occurrence of heavy rainfall has been characterized. Therefore, this work
might support the improvement of land use planning and the application of
suitable prevention systems. Future work will consider the extension of the
analysis to all Sardinia and the application of statistical methods taking
into account the spatial correlation of extreme events. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|