Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1399 - 1399
Published: Nov. 20, 2024
Global
warming
has
led
to
an
increasing
frequency
and
intensity
of
extreme
precipitation
events
worldwide.
The
Henan
Province
in
central
China
usually
occurs
summer,
with
the
climate
transition
from
northern
subtropical
warm
temperate
climate.
Compared
study
other
regions,
pays
less
attention.
In
order
systematically
understand
spatial
temporal
characteristics
Province,
this
applied
RClimDex
model
obtain
nine
indices
based
on
daily
data
90
meteorological
stations
1981
2020.
Linear
propensity
estimation,
M-K
mutation
test,
Morlet
wavelet
analysis,
geostatistical
analysis
were
used
investigate
variation
region.
results
indicated
that
continuous
dry
days
(CDD),
number
heavy
rain
(R20mm),
maximum
(Rx1day),
for
5
consecutive
(Rx5day),
(SDII)
showed
overall
trend,
but
none
passed
significance
test
(p
>
0.01).
Extremely
strong
(R99p)
Rx5day
changed
abruptly
1994,
Rx1day
SDII
2004.
seven
indices,
except
CDD
wet
(CWD),
had
a
30-year
cyclical
pattern.
multi-year
average
gradually
decreased
north
south,
CWD
R20mm
increased
south.
northwest
southeast,
west
east.
can
contribute
valuable
insights
trends
future
predictions
provide
scientific
support
coping
changes
disaster
prevention.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Jan. 19, 2024
Floods
are
among
the
most
destructive
natural
disasters,
causing
extensive
damage
to
human
lives,
property,
and
environment.
Pakistan
is
susceptible
calamities,
such
as
floods,
resulting
in
millions
of
people
being
impacted
yearly.
It
has
been
demonstrated
that
flood
severity
rising
may
continue
escalate
coming
years
because
climate
change-induced
changes
monsoon
precipitation
country.
Given
country’s
exposure
flooding,
it
essential
assess
vulnerability
floods
prepare
for
mitigate
their
impact
Pakistan.
This
study
provides
a
new
conceptual
framework
assessing
risk
Charsadda,
flood-prone
district
evaluates
settlements
based
on
four
indicators:
population
density,
average
gross
domestic
product
(GDP)
land,
distance
between
rivers,
land
use
cover
(LULC).
The
analytical
hierarchy
process
(AHP)
technique
was
integrated
with
geographical
information
system
(GIS)
level
area.
results
reveal
higher
degree
region.
spatial
pattern
vulnerable
areas
reveals
significant
connection
high-risk
densely
populated
during
different
seasons.
further
more
than
60%
area
arable
highly
flood.
land-use
setup
show
high
extremely
values
normalized
threshold
0.3–0.4,
respectively.
an
in-depth
comprehensive
analysis
chosen
indicators,
evaluation
methods,
results,
making
this
valuable
contribution
field
assessment.
findings
also
include
thematic
maps
related
stakeholders
effective
management
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 9, 2025
Flood
risk
assessment
is
crucial
for
effective
disaster
management
and
community
resilience.
However,
the
current
research
lacks
strength
in
identifying
high-risk
areas,
implementing
flood
early
warning
systems,
prioritising
reduction
measures,
allocating
resources
emergency
response
planning
management.
This
study
aims
to
assess
hazard
Mirzadhare,
Charsadda
a
highly
flood-prone
area
Khyber
Pakhtunkhwa
province
of
Pakistan.
The
used
an
integrated
approach
by
employing
geographical
information
system
(GIS)
multi-criteria
decision
analysis
(MCDA)
techniques.
Further,
multiple
datasets,
including
rainfall,
stream
density,
village
points
map
out
susceptibility
region.
Data
was
collected
from
field
surveys,
questionnaires,
interviews,
allowing
detailed
hazards.
Selecting
average
precipitation,
peak
river
flow,
historical
frequency
as
indicators,
weights
three
are
0.4,
0.3,
0.3
respectively,
indicator
predicting
disasters
constructed.
results
categorised
into
four
zones:
very
high,
medium,
low,
based
on
their
findings
reveal
that
more
than
65%
area,
agricultural
land
with
other
livelihood
settlements,
at
high
hazard.
Over
50%
population
lives
floodplains
faces
extremely
future
events.
precision
may
have
been
affected
accuracy
completeness
data
sources
utilised,
such
records,
precipitation
data,
network
density.
combination
methods
enabled
creation
accurate,
data-driven
maps.
serves
valuable
tool
decision-making,
resource
allocation,
development
strategies.
Based
findings,
regular
updates
continuous
monitoring
recommended
ensure
relevance
over
time.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 17, 2024
Abstract
Anthropogenic
climate
change
has
amplified
human
thermal
discomfort
in
urban
environments.
Despite
the
considerable
risks
posed
to
public
health,
there
is
a
lack
of
comprehensive
research,
evaluating
spatiotemporal
changes
and
its
characteristics
hot-hyper
arid
regions,
such
as
Arabian
Peninsula
(AP).
The
current
study
analyzes
categories
their
AP,
using
newly
developed
high-resolution
gridded
ERA5-HEAT
(Human
thErmAl
comforT)
dataset
for
period
1979–2022.
In
addition,
assesses
interplay
between
Universal
Thermal
Climate
Index
(UTCI)
El
Niño-Southern
Oscillation
(ENSO)
indices
period.
results
reveal
significant
increase
characteristics,
with
higher
spatial
variability
AP
region.
major
centers
southwestern,
central,
southeastern
parts
have
experienced
increases
(0.4–0.8
°C),
frequency
intensity
stress
during
temporal
distribution
demonstrates
linear
UTCI
frequencies
intensities,
particularly
from
1998
onward,
signifying
transition
towards
hotter
characterized
by
frequent,
intense,
prolonged
heat
conditions.
Moreover,
ENSO
exhibit
dipole
pattern
correlation
positive
(negative)
southwestern
(eastern
parts)
AP.
study’s
findings
suggest
that
policymakers
planners
need
prioritize
health
well-being
AP’s
areas,
especially
vulnerable
groups,
implementing
adaptation
mitigation
strategies,
carefully
designing
future
cities
mitigate
effects
stress.
International Journal of Climatology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
ABSTRACT
In
the
summer
of
2022,
Iran
experienced
severe
flooding
that
caused
extensive
damage
to
infrastructure,
agriculture,
and
residential
areas.
This
event
prompted
an
investigation
into
whether
frequency
extent
in
have
increased
due
global
warming.
study
investigates
long‐term
trends
Widespread
Rainy
Days
(WRDs)
during
season
(June
September)
analyses
their
correlation
with
Indian
monsoon
indices,
specifically
Convective
Index
(CI)
U‐wind
(UI).
Reanalysis
data,
including
precipitation,
Sea
Level
Pressure
(SLP),
Geopotential
Height
(GPH)
from
1836
2015,
were
used
for
analysis.
WRDs
calculated
each
year
using
connected
components
labelling
method.
The
results
indicate
a
positive
between
precipitation
CI,
implying
increase
Outgoing
Longwave
Radiation
(OLR)
Bay
Bengal
leads
higher
rainfall
more
Iran.
Amongst
all
observed
correlations,
highest
(
r
=
0.58)
was
found
southeastern
On
days
CI
values,
negative
anomalies
sea
level
pressure
(SLP)
850‐hPa
geopotential
height
are
observed.
These
anomalies,
along
humidity
advection,
contribute
occurrence
Conversely,
Iran's
shows
UI.
UI
no
SLP
GPH,
reduced
advection
resulted
absence
also
reveals
majority
occur
June,
density
southeast
region
Mann–Kendall
test
indicates
decrease
Iran,
particularly
June
R
2
17%)
September
24%).
Whilst
July
August
exhibit
decline,
trend
is
relatively
weaker
2%).
findings
demonstrate
statistically
significant
decline
over
180‐year
period,
contradicting
hypothesis
rains
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 9, 2025
Extreme
climatic
events,
such
as
floods,
are
becoming
increasingly
frequent
and
severe
worldwide,
including
in
Pakistan.
The
Swat
River
Catchment
(SRC),
located
the
eastern
Hindukush
region
of
Pakistan,
is
highly
susceptible
to
flooding
due
its
unique
geographical
conditions.
However,
despite
region’s
susceptibility,
comprehensive
flood
risk
assessments
that
integrate
hazard,
vulnerability,
exposure
components
remain
limited.
To
address
this
gap,
study
assesses
SRC
using
22
indicators
distributed
across
three
core
dimensions
risk:
exposure.
Flood
hazard
was
modeled
11
indicators,
broadly
categorized
into
environmental,
hydrological,
aspects,
while
vulnerability
evaluated
through
socio-economic
factors,
proximity,
land
use
characteristics.
Exposure
analyzed
based
on
population
metrics
critical
infrastructure.
All
data
were
converted
thematic
layers
GIS,
systematically
weighted
Analytical
Hierarchy
Process
(AHP)
combined
produce
maps
respectively.
These
then
integrated
a
equation
generate
final
map.
results
reveal
31%
area
high
zone,
27%
moderate
zones,
23%
low
risk,
19%
safe
areas.
validated
Area
Under
Curve
(AUC)
technique,
yielding
value
0.92,
which
indicates
reliability.
By
presenting
first
assessment
for
SRC,
provides
valuable
insights
flood-prone
areas
distribution.
highlight
urgent
need
enhanced
management,
especially
urban
developed
methodology
serves
tool
disaster
management
authorities
planners,
helping
them
make
risk-informed
decisions,
allocate
resources
efficiently,
implement
targeted
mitigation
strategies.
