Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 2, 2024
Abstract
The
coarse
spatial
resolution
of
the
Gravity
Recovery
and
Climate
Experiment
(GRACE)
dataset
has
limited
its
application
in
local
water
resource
management
accounting.
Despite
efforts
to
improve
GRACE
resolution,
achieving
high
downscaled
grids
that
correspond
hydrological
behaviour
patterns
is
still
limited.
To
overcome
this
issue,
we
propose
a
novel
statistical
downscaling
approach
GRACE-terrestrial
storage
changes
(ΔTWS)
using
precipitation,
evapotranspiration
(ET),
runoff
data
from
Australian
Water
Outlook.
These
budget
components
drive
column
much
global
land
area.
Here,
original
1.0°
×
0.05°
over
large
hydro-geologic
basin
northern
Australia
(the
Cambrian
Limestone
Aquifer—CLA),
capturing
sub-
grid
heterogeneity
ΔTWS
region.
results
are
validated
12
in-situ
groundwater
monitoring
stations
estimates
CLA’s
April
2002
June
2017.
change
time
(ds/dt)
estimated
model
was
weakly
correlated
(r
=
0.34)
with
ΔTWS.
weak
relationship
attributed
possible
uncertainties
inherent
ET
datasets
used
budget,
particularly
during
summer
months.
Our
proposed
methodology
provides
an
opportunity
freshwater
reporting
enhances
feasibility
for
other
strengthen
local-scale
applications.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
104, P. 105273 - 105273
Published: Feb. 13, 2024
Rapid
urbanization
primarily
converts
naturally
vegetated
areas
and
pervious
surfaces
into
impervious
built-up
areas,
significantly
transforming
microclimates
ecological
dynamics.
The
surfaces,
marked
by
their
higher
thermal
conductivity,
disrupt
surface
energy
balance
accumulate
solar
heat,
subsequently
elevating
the
land
temperatures
(LSTs).
This
study
investigates
impact
of
use
cover
changes
on
summer
winter
LSTs
in
Doha
Al
Dayeen
municipalities
Qatar,
spanning
from
years
2000
to
2023,
using
remote
sensing
techniques
Geographic
Information
Systems
(GIS).
analysis
reveals
a
remarkable
343.16%
increase
area
at
expense
previously
existing
desert
lands
water
bodies.
While
Qatar's
has
high
temperature,
substituting
such
with
exhibits
notable
rise
temperatures.
Additionally,
reclamation
also
results
elevated
LSTs.
LST
data
derived
sources
demonstrates
an
upward
trend
for
contrasting
winter.
Specifically,
mean
increases
7.64°C
(0.34°C
annually),
decreases
4.87°C
(0.22°C
annually).
Notably,
consistently
recorded
highest
both
seasons
all
observed
years.
A
strong
correlation
was
between
patterns
Normalized
Difference
Vegetation
Index
(NDVI),
Water
(NDWI),
Built-up
index
(NDBI)
Barrenness
(NDBal).
imply
negative
influence
climate
change
urgent
need
urban
planning
mitigation
measures
counteract
adverse
effects
increasing
LSTs,
particularly
months,
ensure
human
well-being
resilience
environments.
One Earth,
Journal Year:
2024,
Volume and Issue:
7(1), P. 72 - 87
Published: Jan. 1, 2024
Global
water
scarcity
threatens
agriculture,
food
security,
and
human
sustainability.
Hence,
understanding
changes
in
terrestrial
storage
(WS)
is
crucial.
By
utilizing
climate
models,
reanalysis,
satellite
data,
we
demonstrate
the
effectiveness
of
multivariate
bias
correction
technique
facilitating
precise
WS
representation
while
ensuring
robust
budget
closure.
Historical
data
indicate
seasonal
changes,
where
forested
basins
exhibit
a
surplus
December-January-February
season,
with
reversal
June-July-August-September
season.
Non-forested
display
varied
patterns
influenced
by
geographical
location
land
use
type.
Future
projections
increased
deficits
most
Southern
Hemisphere
under
middle-road
(SSP
245)
scenario
wetter
conditions
regional
rivalry
370)
scenario.
Weather
systems
governing
vary
season
basin,
resulting
inconsistent
moisture
intake
into
basins.
These
findings
underscore
intricate
interplay
between
transport,
characteristics,
WS,
highlighting
need
to
understand
these
complex
interactions
for
effective
resource
management
strategies
changing
climates.
The Science of The Total Environment,
Journal Year:
2023,
Volume and Issue:
912, P. 169261 - 169261
Published: Dec. 12, 2023
Compound
extreme
events,
encompassing
drought,
vegetation
stress,
wildfire
severity,
and
heatwave
intensity
(CDVWHS),
pose
significant
threats
to
societal,
environmental,
health
systems.
Understanding
the
intricate
relationships
governing
CDVWHS
evolution
their
interaction
with
climate
teleconnections
is
crucial
for
effective
adaptation
strategies.
This
study
leverages
remote
sensing,
reanalysis
data,
models
analyze
during
historical
(1982–2014),
near-future
(2028–2060),
far-future
(2068–2100)
periods
under
two
Shared
Socioeconomic
Pathways
(SSP;
245
585).
Our
results
show
that
reduced
health,
unfavorable
temperature
conditions,
low
moisture
conditions
have
negligible
effects
on
density.
However,
they
worsen
of
heatwaves
increase
risk
wildfires.
Wildfires
can
persist
when
thermal
are
poor
despite
favorable
levels.
For
example,
adequate
availability,
we
link
2012
Siberian
in
Ob
basin
anomalous
negative
concurrent
thermal-moisture
conditions.
In
contrast,
Amazon
experiences
exceptional
drought
associated
same
year.
A
comparative
analysis
North
American
fires
reveals
distinct
burned
area
anomalies
due
variations
density
fuel.
The
lower
positive
areas
because
density,
which
amount
Furthermore,
examine
basin-specific
variability
related
compound
CDVWHS,
revealing
primary
modes
through
teleconnection
patterns.
Moreover,
a
substantial
magnitude
severity
emerges
between
near
far
future
SSP
585.
underscores
urgency
targeted
actions
enhance
ecosystem
resilience
safeguard
vulnerable
communities
from
impacts.
Identifying
hotspots
comprehending
complex
environmental
factors
essential
developing
strategies
changing
climate.
International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2024,
Volume and Issue:
130, P. 103900 - 103900
Published: May 19, 2024
Land
surface
temperature
(LST)
captures
fundamental
information
on
the
spatiotemporal
variation
of
energy
balance
at
surface.
The
trade-off
between
spatial
and
temporal
resolutions
remote
sensing
images
(retrieved
LSTs),
however,
restricts
fine-scale
thermal
environmental
investigations.
In
this
context,
a
novel
dual-layer
composite
framework
(DCF)
for
LST
downscaling
coupling
autocorrelation
heterogeneity
was
developed
based
two
laws
geography
used
to
improve
existing
kernel-driven
methods.
Besides,
new
non-parametric
method
(N-DLST)
also
proposed
under
DCF,
in
which
Bayesian
general
regression
(BNGR)
applied
predict
high-resolution
LSTs
with
auto-selected
kernels.
experiment
Landsat
8
from
300
m
30
over
highly
heterogeneous
urban
area,
N-DLST
significantly
outperformed
original
methods,
highest
coefficient
determination
(R2
=
0.93)
lowest
root
mean
square
error
(RMSE
0.85).
Moreover,
enhanced
effects
DCF
were
demonstrated
by
comparing
accuracy
disaggregation
radiometric
(DisTrad),
geographically
weighted
regression-based
(GWR),
random
forest
(RF)
before
after
their
improvements.
Visual
interpretation
quantitative
assessments
revealed
that
could
DisTrad,
GWR,
RF
methods
an
increase
R2
approximately
0.09
decrease
RMSE
more
than
0.4
°C.
cases
contexts
water
bodies,
effectively
preserved
textures
large-scale
variations,
yielding
most
consistent
pattern
reference
LST.
Given
simplicity
modelling
process
absence
auxiliary
data,
strengthen
performance
both
linear
nonlinear
while
serve
as
effective
tool
prediction.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
955, P. 177174 - 177174
Published: Nov. 2, 2024
Soil
erosion
is
a
critical
environmental
challenge
with
significant
implications
for
agriculture,
water
quality,
and
ecosystem
stability.
Understanding
its
dynamics
essential
sustainable
management
societal
welfare.
Here,
we
analyze
rainfall
erosivity
patterns
across
West
Africa
(WAF)
during
the
historical
(1982-2014),
near
future
(2028-2060),
far
(2068-2100)
periods
under
Shared
Socioeconomic
Pathways
(SSPs
370
585).
Using
bias-corrected-downscaled
(BCD)
climate
models
validated
against
reference
data,
ensure
an
accurate
representation
of
rainfall-a
key
driver
(R-factor)
soil
erosion.
We
compare
Renard's
approach
Modified
Fournier
Index
(MFI)
to
calculate
R-factor
note
strong
correlation.
However,
method
shows
slightly
lower
accuracy
in
Sierra
Leone,
Guinea,
The
Gambia,
likely
due
inability
capture
high-intensity,
short-duration
events.
In
contrast,
MFI,
utilizing
continuous
rain
gauge
proves
more
reliable
these
regions.
also
attribute
fluctuations
erosivity,
such
as
those
seen
2003
floods,
synoptic
weather
influenced
by
multiple
processes.
Furthermore,
our
analysis
reveals
regions
where
could
exceed
20
t/ha/yr
change.
Under
SSP
scenario,
WAF
projected
rise
14.84
%
18.65
future,
increasing
further
585
19.86
23.49
%,
respectively.
most
severe
increases
are
expected
Benin
Nigeria,
Nigeria
potentially
facing
66.41
585.
These
findings
highlight
region's
exposure
intensified
climatic
conditions
underscore
urgent
need
targeted
adaptation
strategies
mitigate
erosion's
ecological
socioeconomic
impacts.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(5), P. 662 - 662
Published: April 25, 2024
Land
surface
temperature
(LST)
and
its
relationship
with
vegetation
indices
(VIs)
have
proven
to
be
effective
for
monitoring
water
stress
in
large-scale
crops.
Therefore,
the
objective
of
this
study
is
find
an
appropriate
VI
analyse
spatio-temporal
evolution
olive
using
LST
images
VIs
derived
from
Landsat
5
8
satellites
semi-arid
region
southern
Peru.
For
purpose,
(Normalised
Difference
Vegetation
Index
(NDVI),
Enhanced
2
(EVI2)
Soil
Adjusted
(SAVI))
were
calculated.
The
information
was
processed
Google
Earth
Engine
(GEE)
period
1985
2024,
interval
every
five
years
summer
season.
triangle
method
applied
based
on
LST-VIs
scatterplot
analysis,
a
tool
that
establishes
wet
dry
boundary
conditions
Temperature
Dryness
(TVDI).
results
indicated
better
appreciation
orchard
over
time,
average
39%
drought
(TVDINDVI
TVDISAVI),
24%
severe
(TVDINDVI)
25%
(TVDISAVI)
total
area,
compared
TVDIEVI2,
which
showed
37%
16%
drought.
It
concluded
TVDINDVI
TVDISAVI
provide
visualisation
map
crop
offer
range
options
address
current
future
problems
resource
management
sector
areas
