A database on flash flood events in Campania, southern Italy, with an evaluation of their spatial and temporal distribution
This study presents an historical database of flash flood events in the Campania region of southern Italy. The study focuses on small catchments characterized by intermittent flow, generally occurring during and after heavy rainstorms, which can be hydrologically defined as small Mediterranean catch...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-11-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/16/2485/2016/nhess-16-2485-2016.pdf |
Summary: | This study presents an historical database of flash flood events in the
Campania region of southern Italy. The study focuses on small catchments
characterized by intermittent flow, generally occurring during and after
heavy rainstorms, which can be hydrologically defined as small Mediterranean
catchments. As the outlet zones of these catchments (consisting mainly of
alluvial fans or fan deltas) are highly urbanized in Campania, the population
living in the delivery areas is exposed to high risk. Detailed scrutiny and
critical analysis of the existing literature, and of the data inventory
available, allowed us to build a robust database consisting of about 500
events from 1540 to 2015, which is continuously updated. Since this study is
the first step of a longer project to perform a hazard analysis, information
about time and site of occurrence is known for all events. As for the hazard
analysis envisaged, collecting information about past events could provide
information on future events, in terms of damage and also spatial and
temporal occurrence. After introducing the issue of flash floods in Italy we
then describe the geological and geomorphological settings of the study area.
The database is then presented, illustrating the methodology used in
collecting information and its general structure. The collected data are then
discussed and the statistical data analysis presented. |
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ISSN: | 1561-8633 1684-9981 |