International Journal of Climatology,
Journal Year:
2024,
Volume and Issue:
45(1)
Published: Nov. 30, 2024
ABSTRACT
Several
classical
and
innovative
trend
methods
exist
in
the
literature
to
identify
evaluate
effects
of
climate
change
on
hydro‐meteorological
variables.
Among
methods,
most
commonly
used
ones
are
modified
Mann–Kendall
(MMK)
Sen's
slope
(SS).
As
for
potential
trends
(probable
risk
levels)
variables
depending
changing
initial
conditions
temporal
dynamic
development
behaviour
trends,
(RSS)
method
was
proposed
based
different
values.
The
actual
this
research
comprehensively
understand
analyse
over
entire
period.
It
uses
RSS
MMK
SS.
Also,
spatiotemporal
classical,
meteorological
evaluated.
Additionally,
advantages
compared
with
SS
discussed
detail.
Western
Black
Sea
basin
Türkiye,
monthly
total
precipitation
average
temperature
data
from
1961
2023,
is
selected
as
a
representative
application.
results
show
that
0.99
level
gave
approximately
25%
higher
than
maximum
temperature‐increasing
within
study
area
time
period
at
2.10°C.
However,
differences
between
slopes
obtained
by
levels
relatively
low.
Furthermore,
using
corresponding
several
allows
more
proactive
effective
measures
sustainable
agricultural
activities
water
management.
ranges
1.33°C
2.09°C,
2.78
12.74
mm
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(7), P. 768 - 768
Published: June 27, 2024
In
research
on
monitoring
drought
events,
analysis
is
often
carried
out
using
a
single
period
as
reference.
On
the
other
hand,
changing
this
default
in
calculations
causes
index
values
obtained
from
to
differ.
As
gap
literature,
point
highlights
necessity
of
investigating
effect
various
time
periods
characteristics.
It
underscores
need
propose
new
concept
and
methodology
address
effectively.
This
aims
analyze
critical
characteristics
through
dynamic
scenarios.
For
first
indices
potential
were
analyzed
for
(dynamic)
periods.
Drought
was
13
scenarios
with
10-year
intervals
meteorological
station
Durham
(1872–2021)
by
initial
condition
Standardized
Precipitation
Index
(SPI).
The
results
showed
that
addition
similarities,
there
are
significant
differences
between
example,
some
scenarios,
event
recorded
during
specific
period,
while
(S5–S7,
S10–S13),
no
detected
same
like
SPI
1.
Additionally,
12,
duration
varied
significantly,
lasting
20
29
months,
6,
3
months.
Regarding
intensity,
1
ranged
−0.89
−1.33,
indicating
33%
difference,
intensity
−1.08
−1.91,
50%
increase
intensity.
significantly
contributes
field
providing
novel
approach
determine
characteristics,
offering
valuable
insights
water
resource
management,
mitigation
planning,
design
purposes.
Pure and Applied Geophysics,
Journal Year:
2024,
Volume and Issue:
181(7), P. 2277 - 2295
Published: July 1, 2024
Abstract
Research
and
applications
on
trend
analysis
have
recently
been
the
agenda
are
top
priorities
in
many
disciplines
due
to
effects
of
climate
change.
After
a
thorough
evaluation
literature,
it
is
noted
that
different
hydro-meteorological
variables,
such
as
precipitation,
temperature,
etc.,
studied
analyzed
individually.
This
research
proposes
new
innovative
polygon
application
(S-IPTA)
using
standardization
concept
fill
this
gap
classical
comprehensively
compare
trends
variables
temporal
spatial
patterns.
Firstly,
statistical
standardization,
S-IPTA
adjusts
original
data
sets
makes
them
dimensionless.
Then,
analyses
conducted
interpreted
one
single
graph
(S-IPTA).
The
methodology
applied
monthly
precipitation
temperature
time
series
Konya
Basin
Türkiye
at
ten
meteorological
stations
between
1959
2022.
For
did
not
exhibit
consistent
across
all
within
study
area,
while
was
more
regular,
indicating
mean
generally
stable
with
positive
trend.
Also,
shows
difference
average
value
for
each
month
newly
proposed
long-term
(0).
also
provides
basis
better
interpretation
change
its
by
providing
common
denominator
various
characteristics,
magnitudes
transitions
series.
Doğal Afetler ve Çevre Dergisi,
Journal Year:
2025,
Volume and Issue:
11(1), P. 268 - 289
Published: Jan. 25, 2025
Revealing
long-term
trends
in
hydrometeorological
variables
plays
a
critical
role
the
sustainable
management
and
planning
of
water
resources.
These
analyses
are
necessary
to
understand
climate
change
impacts,
taking
precautions
for
natural
disasters,
plan
agricultural
activities,
develop
strategies.
The
aim
this
study
is
examine
changes
monthly
annual
total
precipitation
evapotranspiration
values
Maritsa
River
Basin,
transboundary
basin
between
Bulgaria,
Greece,
Türkiye.
For
this,
1982-2023
years
were
taken
from
Climate
Hazards
Group
InfraRed
Precipitation
with
Stations
(CHIRPS)
data
set,
European
Reanalysis
5th
Generation-Land
(ERA5-Land)
set.
Mann-Kendall,
Sen's
slope
estimator,
Innovative
Trend
Analysis
(ITA)
methods
used
determine
trends.
According
test
results,
there
statistically
significant
increase
within
95%
confidence
interval
99%
interval.
Specifically
all
three
positive
observed
October,
January,
May
June.
In
trend
analysis,
except
November,
December,
June
July.
increases
visualized
using
graphical
method
ITA.
Significant
increasing
both
reveal
hydrological
cycle
basin.
results
can
be
solving
problems
related
area.
Water,
Journal Year:
2025,
Volume and Issue:
17(5), P. 752 - 752
Published: March 4, 2025
This
study
introduces
the
Simple
Coincidence
Deficit
Index
(SCDI)
and
employs
Drought
Severity
Analysis
(DSA)
to
enhance
drought
detection
assess
patterns
persistency
across
Mediterranean
basin.
Utilizing
Global
Land
Data
Assimilation
System
(GLDAS)
based
multi-satellite
data
for
precipitation
(P)
groundwater
storage
(GWS),
this
research
applies
both
SCDI
DSA
visualize
interpret
hydrological
event
time
series
region.
The
uniquely
combines
levels
provide
a
comprehensive
view
of
intensity.
tracks
persistence
water
deficit
allows
straightforward
analysis
without
requiring
transformation
or
normalization,
making
it
easier
use
with
remote
sensing
data.
determines
longest
periods
various
windows,
quantifying
number
months
persists
on
Findings
show
that
significant
deficits
are
observed
in
specific
months,
which
become
less
apparent
shorter
windows
(Δ
=
1)
due
their
rarity.
Conversely,
broader
12),
cumulative
effects
these
significantly
impact
seasonal
yearly
averages,
implications
extending
from
lower
higher
latitudes.
Additionally,
as
extend,
variability
values
increases
all
regions,
rendering
long-term
conditions
more
visible,
particularly
North
Africa.
These
findings
form
basis
future
studies
focusing
understanding
phenomena
enhancing
predictability
using
proposed
methodologies
represent
advancement
over
traditional
indices
by
offering
new
tools
effective
analysis.
Vadose Zone Journal,
Journal Year:
2025,
Volume and Issue:
24(2)
Published: March 1, 2025
Abstract
Determining
the
contribution
of
human
activities
to
drought
occurrence
or
aggravation
is
an
essential
issue
in
risk
management.
Drought
begins
under
influence
meteorological
processes
and
propagates
hydrological
drought,
which
affect.
In
this
study,
Anthropogenic
Index
(ADI)
was
developed
using
two
indices
(Standardized
Precipitation
[SPI]
Standardized
Evapotranspiration
[SPEI])
Streamflow
[SSI]
[SDI]).
The
ADI
considers
characteristics
duration,
severity,
frequency.
To
assess
risk,
used
as
a
hazard
along
with
vulnerability
index,
also
takes
into
account
socioeconomic
physical
factors
study
area.
formulation
applied
western
part
Lake
Urmia
basin,
has
dried
recent
years
due
unsustainable
water
resources
area
covered
20
stations
40‐year
data.
A
visual
comparison
shows
that
behavior
significantly
increased
over
past
years.
results
indicate
some
stations,
values
exceed
2,
highlighting
need
for
sustainable
withdrawal
these
areas.
assessment
classify
studied
five
bands,
prioritizing
them
from
viewpoint
