Journal of Agronomy and Crop Science,
Год журнала:
2024,
Номер
210(5)
Опубликована: Сен. 16, 2024
ABSTRACT
Agriculture
plays
an
important
part
in
the
overall
growth
and
development
of
a
nation.
Concerns
about
agriculture
continue
to
be
recalcitrant
obstacle
path
upward
movement.
Although
agricultural
yields
are
increased,
however,
low‐
middle‐income
countries
still
have
difficulty
producing
all
required
foods
with
current
state
technology.
Smart
is
becoming
increasingly
farmers
as
means
ensuring
optimal
field
higher
crop
yield.
This
systematic
study
analysed
briefly
explained
effects
using
smart
techniques
(SATs)
from
variety
countries,
including
China,
United
States
America,
Australia,
India,
Philippine
Islands,
South
Africa,
Pakistan
Iran,
among
others.
Increased
climatic
change
resulting
abiotic
stress
other
harmful
on
plants
resulted
decreased
productivity
under
traditional
practices.
Stats
literature
shown
that
launching
SATs
has
significant
increase
cotton–wheat
rice–wheat
yields,
resultantly
increased
incomes
farmers.
Application
SATs,
satellite
remote
sensing,
drones,
machine
learning
image
processing,
monitoring,
wireless
sensor
networks,
IoT–based
robotics,
precision
agroforestry
could
extremely
useful
developing
intelligent
systems
underdeveloped
improved
plant
growth,
high
yield
food
security.
These
technologies
help
by
storing
additional
water,
spraying
pesticides
practicing
employing
sensors
for
assessing
different
environmental
parameters.
By
making
efficient
use
these
technologies,
able
their
crops,
which,
turn,
will
contribute
reduction
poverty
elimination
insecurity.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Янв. 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,
Год журнала:
2023,
Номер
11
Опубликована: Сен. 8, 2023
This
study
assessed
spatiotemporal
trends
in
daily
monsoon
precipitation
extremes
at
seasonal
and
sub-seasonal
scales
(June,
July,
August,
September)
their
links
with
atmospheric
circulations
over
Pakistan.
The
used
observed
data
from
fifty
in-situ
stations
reanalysis
products
the
European
Centre
for
Medium-Range
Weather
Forecasts
(ECMWF)
National
Centers
Environmental
Prediction/the
Center
Atmospheric
Research
(NCEP/NCAR)
during
1981–2018.
A
suite
of
seven
extreme
indices
non-parametric
statistical
techniques
were
to
infer
frequency
intensity
indices.
An
increase
overall
was
evident,
a
maximum
tendency
country’s
northwestern
(z-score=>2.5),
central,
eastern
(z-score
>
4)
monsoon-dominant
parts.
northern
southwestern
parts
country
exhibited
slight
decrease
<–2)
intensity.
Sen’s
Slope
estimator
(SSE)
shows
an
western
(0.20
days)
indicating
shift
maxima
precipitation.
regional
wet
days
(R1
mm)
higher
values
mMK
(3.71)
SSE
(0.3)
region
2
Similar
results
moderate
are
evident
except
regions
1
3.
1-day
increased
3
(mMK:
1.39,
SSE:
2.32).
extremely
(R99p
TOT)
has
all
1.
temporal
mutations
showed
dynamic
changes,
clearly
reflecting
historical
events.
negatively
correlated
altitude
(R
=
−0.00039).
probability
density
function
(PDF)
significant
June
September
probabilistic
positive
July
August.
intensified
mid-latitude
westerlies
subtropical
zonal
easterlies
teleconnections,
strengthening
trough,
land-ocean
thermal
contrast
potential
drivers
increasing
trend
extremes.
current
could
serve
as
benchmark
future
researchers
policymakers
devise
effective
mitigation
strategies
sustainable
development.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Фев. 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,
Год журнала:
2024,
Номер
44(10), С. 3589 - 3612
Опубликована: Июль 5, 2024
Abstract
Anthropogenic
climate
change
induced
weather
and
extremes
have
led
to
frequent
heat
waves,
droughts
floods
threatening
water
resources
food
security
for
an
agricultural
country
like
Pakistan.
Despite
their
significance,
the
trends
variability
of
extreme
temperature
precipitation
indices
associated
large‐scale
drivers
in
agro‐ecological
zones
(AEZs)
Pakistan
remain
unknown
need
urgent
attention
because
abrupt
change.
The
present
study
documents
spatiotemporal
variations
together
with
elevation‐dependent
over
various
AEZs
period
42
years
(1979–2020).
Nonparametric
Mann–Kendall
(MK)
Sen's
slope
(SS)
estimator
tests
been
employed
trend
estimation.
Results
indicated
linearly
increasing
(warming)
statistically
significant
Tmean,
TNx,
WSDI
TR20
whereas
decreasing
(cooling)
cool
nights
(−1.73
days·decade
−1
)
cold
spells
(−1.28
).
spatial
distribution
depicts
robust
warming
southwestern
central
while
cooling
northern
zones.
Regarding
extremes,
all
shown
(wetter)
a
increase
PRCPTOT
RX5day.
stations
subhumid
received
more
compared
other
Elevation‐dependent
exhibited
positive
(negative)
relationship
(warm)
tails.
Most
weak,
but
association
elevation
except
SDII.
weakening
South
Asian
subtropical
upper‐level
jet
by
high‐pressure
system
northeast
resulted
amplified
land
surface
temperatures.
However,
patterns
zonal
winds
indicate
trough
Pakistan's
southern
parts,
warmer
sea‐surface
temperature,
low
sea‐level
pressure
easterly
anomalies,
favour
moisture
transport
outcomes
will
be
useful
addressing
climate‐induced
disasters
occurring
Frontiers in Environmental Science,
Год журнала:
2025,
Номер
13
Опубликована: Апрель 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.
Environmental Research Letters,
Год журнала:
2023,
Номер
18(9), С. 094028 - 094028
Опубликована: Авг. 9, 2023
Abstract
In
recent
decades,
temperature
variations
have
significantly
affected
the
ecosystem
and
human
livelihood
in
Pakistan.
The
wavelet
analysis
is
employed
to
identify
associations
between
regional
change
global
teleconnections,
i.e.
Atlantic
Multidecadal
Oscillation
(AMO),
Arctic
(AO),
North
(NAO),
El
Niño–Southern
(ENSO),
Pacific
Decadal
(PDO),
Tropical
Northern
Index
(TNA),
Pacific/North
American
(PNA),
Pattern
(NP),
Western
(WP),
Hemisphere
Warm
Pool
(WHWP).
This
paper
first
uses
monotonic
modified
Mann–Kendall
Sen’s
slope
estimator
compute
changes
Pakistan
its
homogenous
climatic
regions
during
1960–2020.
It
found
that
has
increased
at
0.23
°C
dec
−1
last
62
years,
which
also
higher
than
average
increase.
increase
more
evident
region
IV
V
spring
0.63
0.43
respectively,
followed
by
summer
autumn.
Temperature
sub-regions
are
mainly
associated
with
NP,
WP
WHWP
mean
significant
coherences.
Overall,
influenced
multiple
interactions
of
these
combinations
indicate
integrated
influence
teleconnections
can
better
explain
changes.
broader
over
NP
+
WHWP,
Pacific-based
(ENSO,
PDO,
PNA),
Atlantic-based
(AMO,
AO,
NAO)
indices
as
revealed
coherences
0.82,
0.82
0.72
respectively.
Annually,
AMO,
TNA
showed
correlation
magnitudes
0.44,
0.42
0.20
indicating
modulation
effect
on
combined
impacts
from
various
represent
a
considerable
advancement
accuracy
country.
These
findings
implications
for
policymakers
terms
planning
policies
light
climate
well
atmospheric
circulation
variability.
The
increasing
prevalence
of
warmer
trends
and
climate
extremes
exacerbate
the
population's
exposure
to
urban
settlements.
This
work
investigated
population
changes
mean
extreme
events
in
different
Agro-Ecological
Zones
(AEZs)
Pakistan
associated
mechanisms
(1979-2020).
Spatiotemporal
temperatures
revealed
significant
warming
mainly
over
northern,
northeastern,
southern
AEZs.
In
contrast,
mean-to-extreme
precipitation
showed
non-uniform
patterns
with
a
increase
northeast
Population
(extreme)
temperature
increased
two-fold
during
2000-2020.
AEZs
settlements
(i.e.,
Indus
Delta,
Northern
Irrigated
Plain,
Barani/Rainfall)
show
maximum
about
70-100
×
106
(person-days)
reference
period
(1979-1999),
which
increases
140-200
person-days
recent
(2000-2020).
addition,
highest
days
also
40-200
2000-2020
than
1979-1999
(20-100
106)
person-days.
Relative
are
large
(60%-90%)
for
across
Pakistan,
justifying
spatial
these
zones.
Overall,
observed
primarily
attributed
effect
(50%)
most
except
Plain
R10
R20
events,
where
interaction
takes
lead.
rapidly
major
could
be
more
vulnerable
due
rapid
urbanization
growth
near
future.
Water,
Год журнала:
2023,
Номер
15(12), С. 2175 - 2175
Опубликована: Июнь 9, 2023
Global
warming
has
accelerated
climate
and
weather
changes,
impacting
the
regional
water
cycle.
This
study
assesses
temporal
trends
of
seasonal
annual
runoff
in
Chitral
River
Basin
(CRB)
its
responses
to
climatic
factors
(i.e.,
temperature,
precipitation,
Normalized
Difference
Vegetation
Index
(NDVI))
oceanic
indices
at
large
scales
El
Nino
Southern
Oscillation
(ENSO),
Indian
Ocean
Dipole
(IOD),
Pacific
Decadal
(PDO)).
The
non-parametric
Mann–Kendall
(MK)
test,
Sequential
test
(SQMK)
Sen
Slope
(SS)
is
used
evaluate
magnitude.
In
contrast,
wavelet
analysis
assess
coherence.
general,
precipitation
increases
winter,
summer
autumn,
whereas
it
decreases
spring.
temperature
increased
significantly
winter
spring,
while
a
significant
increase
was
evident.
Annual
NDVI
increased,
Water
(NDWI)
Snow
(NDSI)
decreased.
Generally,
inter-annual
coherences
with
environmental
factors,
coherence
NDVI.
Monthly
positive
NDVI,
negative
correlation
NDWI,
NDSI.
ENSO,
IOD
PDO
show
runoff.
MWC
findings
indicate
that
prevailed
interannual
signals
local
Ocean,
interdecadal
are
obvious
Atlantic
Ocean.
results
have
implications
for
decision-makers
seeking
enhance
resource
planning,
disaster
prevention,
mitigation,
especially
global
intensification
human
activities
influence
hydroclimatic
changes
high
altitudes.