Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations
Journal of Hydrology,
Год журнала:
2024,
Номер
634, С. 131117 - 131117
Опубликована: Март 24, 2024
Global
climate
change
has
led
to
an
increase
in
the
frequency
and
scale
of
extreme
weather
events
worldwide,
there
is
urgent
need
develop
better-performing
hydrological
models
improve
accuracy
streamflow
simulations
facilitate
water
resource
planning
management.
The
Soil
Water
Assessment
Tool
(SWAT)
a
notable
physical
foundation
widely
used
research.
However,
it
uses
simplified
vegetation
growth
model,
introducing
uncertainty
into
simulation
results.
This
study
focused
on
improving
model
based
remotely
sensed
phenological
leaf
area
index
(LAI)
data.
Phenological
data
were
define
dormancy,
LAI
replaced
corresponding
simulated
by
original
model.
approach
improved
describing
dynamics.
Then,
enhanced
SWAT
was
coupled
with
bidirectional
long
short-term
memory
(BiLSTM)
validate
processes
upstream
Hei
River.
During
validation,
performance
simulating
(R2
=
0.835,
NSE
0.819)
better
than
that
0.821,
0.805).
In
terms
evapotranspiration,
demonstrated
even
greater
advantages.
verification
period,
compared
those
R2
values
for
daily-scale
increased
from
0.196
−0.269
0.777
0.732,
respectively.
monthly-scale
0.782
0.678
0.906
0.851,
Simultaneously,
levels
two
coupling
approaches
prediction
compared,
i.e.,
direct
BiLSTM
(SWAT-BiLSTM)
(enhanced
SWAT-BiLSTM).
results
showed
SWAT-BiLSTM
always
performed
during
entire
especially
which
could
more
accurately
predict
peak
changes.
deep
learning
accuracy.
Язык: Английский
Role of green infrastructure planning in achieving sustainable development goals through an environmental efficiency lens: An integrated literature review
Ecological Indicators,
Год журнала:
2025,
Номер
174, С. 113471 - 113471
Опубликована: Апрель 17, 2025
Язык: Английский
Forecasting water scarcity with an optimized Soil and Water Assessment Tool (SWAT) model under representative concentration pathway (RCP) scenarios
C. Li,
Xin Guo,
Liping Chen
и другие.
Water Science & Technology Water Supply,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 22, 2024
Abstract
Water
Supply
issues
a
formal
withdrawal
in
relation
to
the
above
article
by
Cen
Li,
Xin
Guo,
Liping
Chen,
Majid
Khayatnezhad
and
Fatemeh
Gholinia.
This
decision
has
been
made
due
concerns
that
were
raised
regarding
potential
citation
manipulation
inappropriate
references,
significant
authorship
changes
during
peer
review.
The
journal
did
not
receive
satisfactory
response
these
as
such
Editors-in-Chief
no
longer
have
confidence
integrity
of
article.
Язык: Английский
Determination of Curve Number for the Temef Watershed, Timor Tengah Selatan Regency
Jurnal Teknik Pengairan,
Год журнала:
2023,
Номер
14(2), С. 103 - 113
Опубликована: Ноя. 30, 2023
This
study
aims
to
show
that
the
Curve
Number
(CN)
method
can
represent
relationship
between
rainfall
runoff
in
Temef
Watershed,
an
area
of
East
Nusa
Tenggara.
The
used
this
was
quantitative
analysis
by
linking
watershed
characteristics
such
as
soil,
vegetation,
and
land
use
with
CN
curve
number,
which
shows
potential
flow
for
a
certain
rainfall.
data
were
re-analyzed
using
computer
program
obtain
actual
field
conditions,
then
classified
cover
quality,
soil
type,
value,
Antecedent
Moisture
Condition
(AMC)
value
Watershed.
Based
on
study's
results,
it
found
Watershed
dominated
secondary
dry
forest
cover,
ranged
from
28.50-52.00%.
lithological
texture
rocks
is
conglomerate
gravel
gradation
rate
medium
high;
sandy
marl,
sandstone,
tuft,
dacite
high
gradation;
scaly
clay
very
low
gradation.
69.45,
at
normal
moisture
levels.
benefits
result
include
practical
application
method,
provision
accurate
conditions
through
re-analysis,
insights
into
dominant
texture,
establishment
values
effective
water
resource
management.
Язык: Английский