Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2048 - 2048
Published: Nov. 29, 2024
Studying
the
response
of
runoff
to
climate
change
and
land
use/cover
has
guiding
significance
for
watershed
planning,
water
resource
ecological
environment
protection.
Especially
in
Yellow
River
Basin,
which
a
variable
fragile
ecology,
such
research
is
more
important.
This
article
takes
Huangfuchuan
Basin
(HFCRB)
middle
reaches
as
area,
analyzes
impact
scenarios
on
by
constructing
SWAT
model.
Using
CMIP6
GCMs
obtain
future
data
CA–Markov
model
predict
use
data,
two
are
coupled
estimate
process
HFCRB,
uncertainty
estimated
decomposed
quantified.
The
results
were
follows:
①
good
adaptability
HFCRB.
During
calibrated
period
validation
period,
R2
≥
0.84,
NSE
0.8,
|PBIAS|
≤
17.5%,
all
meet
evaluation
criteria.
②
There
negative
correlation
between
temperature
runoff,
positive
precipitation
runoff.
Runoff
sensitive
rise
increase.
③
types
order
cultivated
>
grassland
forest
land.
④
variation
range
under
combined
effects
LUCC
that
single
or
scenarios.
increase
SSP126,
SSP245,
SSP585
10.57%,
25.55%,
31.28%,
respectively.
Precipitation
main
factor
affecting
changes
Model
source
prediction.
Journal of Degraded and Mining Lands Management,
Journal Year:
2025,
Volume and Issue:
12(2), P. 7123 - 7140
Published: Jan. 1, 2025
Lake
Toba
is
one
of
the
prioritized
conservation
lakes
in
Indonesia,
crucial
for
domestic
needs,
tourism,
fisheries,
agriculture,
and
power
generation.
However,
Toba’s
water
levels
discharge
have
declined
recent
decades.
This
study
aimed
to
enhance
recharge
level
through
hydrological
modeling
using
SWAT
analysis
regional
specific
measures.
The
utilized
input
data,
including
climate,
soil,
geomorphology,
land
use,
hydrology,
generate
both
existing
post-conservation
balance
models.
Conservation
methods
were
categorized
into
civil
engineering
vegetative
approaches.
Vegetative
techniques
included
agroforestry
MPTS
(Multi-Purpose
Tree
Species),
while
encompassed
terracing,
trenching,
infiltration
wells.
Regional
focused
on
use
plant
types,
involved
detailed
classification
watershed
by
slope
class,
type,
use.
revealed
significant
changes
catchment
area,
with
dry
fields
increasing
from
72,961
ha
125,000
ha,
a
decrease
905
903
m
above
sea
level,
reduction
180
m³/s
125
m³/s.
shows
that
inflow
131
(with
78%
accuracy),
potential
increases
250
due
conservation.
efforts
also
improved
rates
across
39
sub-watersheds
Toba,
monthly
annually.
Frontiers in Water,
Journal Year:
2025,
Volume and Issue:
7
Published: April 2, 2025
Accurate
streamflow
prediction
in
mountainous
regions
is
vital
for
sustaining
water
resources
downstream
areas,
ensuring
reliable
availability
agriculture,
energy,
and
consumption.
However,
physically
based
models
are
prone
to
substantial
uncertainties
due
complex
processes
the
inherent
variability
model
parameters
parameterization.
This
study
addresses
these
challenges
by
exploring
alternative
coupling
inputs
data-driven
(DD)
optimize
daily
a
calibrated
SWAT-BiLSTM
rainfall-runoff
within
Astore
sub-basin
of
Upper
Indus
Basin
(UIB),
Pakistan.
The
research
explores
two
standalone
(SWAT
BiLSTM)
three
inputs:
conventional
climatic
variables
(precipitation
temperature),
cross-correlation
selected
inputs,
exclusion
direct
model.
spans
calibration,
validation,
periods
from
2007
2011,
2012
2015,
2017
2019,
respectively.
Based
on
compromise
programing
(CP)
ranking,
SWAT-C-BiLSTM
(Q
P
)
(T
1
Q
showed
competent
performances
followed
BiLSTM,
(PTQ
),
SWAT.
These
findings
highlight
that
excluding
enhances
couple
model’s
accuracy
sufficiently
underscores
potential
this
approach
contribute
sustainable
resource
management.
