Abstract:
Floods in estuaries can be driven by different
forcing
mechanisms
from
ocean and
inland sources
and are
often
aggravated
in urban areas by insufficient drainage
conditions. Sea
-
level rise and
extreme climate events
can exacerbate wat
er levels
inside the
estuaries.
D
evelopments are being made to reduce
the uncertainty of
forecast tools in order to provide
reliable
flood predictions that can support risk
assessment and management
strategies
. The integration of his
torical events data
analysis
in h
azard forec
asting
can
contribute to a better
knowledge of
the dominant
flood
drivers
and
to
improve the
validation
of the models
.
In the present work a
data base
of
historical flood events