This
study’s
primary
goal
was
to
conduct
an
analysis
on
the
flood
propensity
of
Tabua
(Ribeira
Brava)
drainage
basin’s
main
watercourse.
In
addition
that,
this
study
also
recommends
two
different
methodologies
in
order
mitigate
flood’s
impacts,
namely
by
dimensioning
a
detention
basin
and
adjusting
riverbed
roughness
coefficient.
Regarding
propensity,
it
necessary
resort
geomorphological
data,
which
obtained
when
characterizing
watershed;
that
data
crucial
determine
expected
peak
flow
rate,
according
Gumbel
Distribution
methodology
considering
100
years
return
period,
perform
tasks
SIG
ArcGIS
software.
Lastly,
analyzed
capacity
river
mouth,
conclude
whether
would
have
drain
total
volume
rainwater
if
extreme
event
happen.
Indeed,
results
point
out
watershed’s
mouth
doesn’t
cope
with
event,
for
period
considered.
As
consequence
mitigation
measures
aforementioned
were
developed
specific
features:
sizing
estimated
through
Dutch
Method
Simplified
Triangular
Hydrograph
Method,
while
adjustment
coefficient
considered
valid
solution
enhance
mouth.
Water,
Journal Year:
2023,
Volume and Issue:
15(14), P. 2609 - 2609
Published: July 18, 2023
This
study’s
primary
goal
was
to
conduct
an
analysis
of
the
flood
propensity
Tabua
(Ribeira
Brava)
drainage
basin’s
main
watercourse.
In
addition
that,
this
study
also
recommends
two
different
methodologies
in
order
mitigate
impacts,
namely
by
dimensioning
a
detention
basin
and
adjusting
riverbed
roughness
coefficient.
Regarding
on
propensity,
it
necessary
resort
geomorphological
data,
which
were
obtained
when
characterizing
watershed;
these
data
crucial
determining
expected
peak
flow
rate,
according
Gumbel
distribution
methodology
considering
100-year
return
period,
perform
tasks
SIG
ArcGIS
10.5
software.
Lastly,
capacity
river
mouth
analyzed
conclude
whether
would
have
drain
total
volume
rainwater
if
extreme
event
happen.
Indeed,
results
show
that
watershed’s
does
not
cope
with
for
period
considered.
As
consequence,
aforementioned
mitigation
measures
developed
specific
features.
The
size
estimated
through
Dutch
method
simplified
triangular
hydrograph
method,
while
adjustment
coefficient
considered
valid
solution
enhance
mouth.
Atmosphere,
Journal Year:
2022,
Volume and Issue:
13(10), P. 1712 - 1712
Published: Oct. 18, 2022
The
increase
in
the
frequency
and
intensity
of
hazardous
hydrometeorological
phenomena
is
one
most
dangerous
consequences
climate
instability.
In
this
study,
we
summarize
data
on
severe
weather
using
from
23
meteorological
stations
Crimea
1976
to
2020.
Particular
attention
was
paid
precipitation
descriptions.
For
last
45
years,
a
significant
positive
trend
interannual
variability
annual
occurrence
estimated
be
+2.7
cases
per
decade.
for
+1.3
probable
maximum
daily
as
quantitative
indicator
events
each
station
by
both
stationary
non-stationary
GEV
models.
at
least
half
stations,
model
more
appropriate
estimation
extremes.
An
analysis
main
synoptic
processes
that
drive
carried
out.
greatest
contribution
formation
made
Mediterranean–Black
Sea
cyclones.
At
same
time,
all
extreme
were
caused
cyclones
generated
over
Black
only,
seasons
apart
winter.
mid-troposphere,
four
types
meridional
circulation
identified
depending
location
troughs
ridges,
with
respect
region.
More
than
42%
accompanied
an
isolated
high-altitude
cyclone
mid-troposphere
recommendation
can
drawn
study
long-term
climatic
non-stationarity
should
taken
into
account
whenever
risk
assessment
or
hazard
results
also
favor
designing
drainage
sewerage
systems
urban
areas.
findings
atmospheric
patterns
used
improvement
forecasts.
Environmental Research Communications,
Journal Year:
2024,
Volume and Issue:
6(6), P. 065002 - 065002
Published: June 1, 2024
Abstract
China’s
coastal
lands
and
seas
are
highly
susceptible
to
the
changing
environment
due
their
dense
population
frequent
economic
activities.
These
areas
experience
more
significant
impacts
from
climate
change-induced
extreme
events
than
elsewhere.
The
most
noticeable
effects
of
change
high
temperatures
precipitation.
We
employ
an
ensemble
RCMs
(Regional
Climate
Models)
investigate
project
changes
in
temperature,
precipitation,
Compound
Heat-Precipitation
Extreme
(CHPEs)
over
selected
for
both
historical
(1985–2004)
future
periods
(2080–2099).
multi-model
projects
that
daily
temperature
extremes
will
increase
by
2.9
°C
5.4
across
seas,
with
land
showing
a
higher
marine
areas.
precipitation
shows
geographical
heterogeneity
2.8–3.9
mm
d
−1
reduction
15–25°N
while
2.2–5.4
increment
25°N-35°N
use
Clausius–Clapeyron
relationship
reveal
peak
2–7
at
which
peaks
2
6
warming.
area
25–30°N
has
highest
9.87
°C.
As
intensify
increase,
CHPEs
projected
occur
frequently
Compared
period,
frequency
40.9%-161.2%
areas,
36.2%-163.6%
future.
15–20°N
CHPE
events,
largest
difference
under
two
different
scenarios.
It
indicated
be
easily
affected
change.