Journal of Hydroinformatics,
Год журнала:
2023,
Номер
26(1), С. 189 - 202
Опубликована: Дек. 30, 2023
Abstract
The
Soil
and
Water
Assessment
Tool
(SWAT)
has
been
widely
applied
to
simulate
the
hydrological
cycle,
investigate
cause-and-effect
relationships,
aid
decision-making
for
better
watershed
management.
However,
software
tools
model
dataset
analysis
visualization
support
informed
in
a
web
environment
are
not
considered
fully
fledged
technically
intensive
implement.
This
study
focuses
on
addressing
these
issues
by
establishing
tool
library
(named
PAVLIB4SWAT)
that
can
largely
reduce
technical
expertise
requirements
developers
adopt
customize
this
work
their
own
demands.
Specifically,
we
created
PAVLIB4SWAT
based
Kepler.gl
widget
visualize
SWAT
data,
including
shapefiles
from
delineation
process,
inputs,
simulated
results
via
dynamic
interactive
maps.
We
evaluated
through
Jinjiang
use
case
demonstrate
its
utility
ease
of
adoption.
shows
provide
various
geospatial
mapping
functionalities
models
flexibly
distribute
visualized
as
standalone
offline
pages
servers.
In
addition,
was
designed
an
open-source
project
implemented
purely
Python
programming
language;
thus,
easily
adapt
it
suit
Atmosphere,
Год журнала:
2025,
Номер
16(1), С. 106 - 106
Опубликована: Янв. 19, 2025
The
rising
incidence
of
droughts
in
specific
global
regions
recent
years,
primarily
attributed
to
warming,
has
markedly
increased
the
demand
for
reliable
and
accurate
streamflow
estimation.
Streamflow
estimation
is
essential
effective
management
utilization
water
resources,
as
well
design
hydraulic
infrastructure.
Furthermore,
research
on
gained
heightened
importance
because
not
only
survival
all
living
organisms
but
also
determining
quality
life
Earth.
In
this
study,
advanced
soft
computing
techniques,
including
long
short-term
memory
(LSTM),
convolutional
neural
network–recurrent
network
(CNN-RNN),
group
method
data
handling
(GMDH)
algorithms,
were
employed
forecast
monthly
time
series
at
two
different
stations
Wadi
Mina
basin.
performance
each
technique
was
evaluated
using
statistical
criteria
such
mean
square
error
(MSE),
bias
(MBE),
absolute
(MAE),
correlation
coefficient
(R).
results
study
demonstrated
that
GMDH
algorithm
produced
most
forecasts
Sidi
AEK
Djillali
station,
with
metrics
MSE:
0.132,
MAE:
0.185,
MBE:
−0.008,
R:
0.636.
Similarly,
CNN-RNN
achieved
best
Kef
Mehboula
0.298,
0.335,
−0.018,
0.597.
Water,
Год журнала:
2025,
Номер
17(5), С. 660 - 660
Опубликована: Фев. 24, 2025
Deforestation
and
agricultural
practices,
such
as
livestock
farming,
disrupt
biogeochemical
cycles,
contribute
to
climate
change,
can
lead
serious
environmental
problems.
Understanding
the
water
cycle
changes
in
discharge
patterns
at
watershed
scale
is
essential
tracking
how
deforestation
affects
flow
downstream
bodies
ocean.
The
Amazon
basin,
which
provides
about
15–20%
of
freshwater
flowing
into
oceans,
one
most
important
river
systems
world.
Despite
this,
it
increasingly
suffering
from
anthropogenic
pressure,
mainly
converting
rainforests
areas,
drive
global
warming
ecosystem
instability.
In
this
study,
we
applied
a
calibrated
Soil
Water
Assessment
Tool
(SWAT)
model
Jari
River
Watershed,
part
Brazilian
Amazon,
assess
combined
effects
change
on
resources
between
2020
2050.
was
validated
using
observed
streamflow.
results
show
an
NS
0.85
0.89,
PBIAS
−9.5
−0.6,
p-factor
0.84
0.93,
r-factor
0.78,
for
periods
calibration
validation,
respectively,
indicating
strong
performance.
We
analyzed
four
scenarios
that
examined
different
levels
change.
Our
suggest
could
increase
surface
runoff
by
18
mm,
while
groundwater
recharge
vary
declines
−20
mm
increases
120
mm.
These
amplify
streamflow
variability,
affect
its
dynamics,
intensify
flood
risks,
reduce
availability
during
dry
periods,
leading
significant
risks
hydrology
Amazonian
watersheds
human
supply.
This,
turn,
profoundly
impact
region’s
megadiverse
flora
fauna,
directly
depend
balanced
watersheds.
Water,
Год журнала:
2025,
Номер
17(7), С. 940 - 940
Опубликована: Март 24, 2025
The
medium
river
basins
(MRBs)
in
Nepal
originate
from
mid-hills.
These
medium-range
rivers
are
typically
non-snow-fed,
relying
on
rain
and
other
water
sources.
small,
the
sizes
of
vary
between
500
5000
km2.
MRBs
often
used
for
irrigation
agricultural
purposes.
In
this
analysis,
we
first
set
up,
calibrated,
validated
three
hydrological
models
(i.e.,
HBV,
HEC
HMS,
SWAT)
at
Kankai
River
Basin
(one
MRB
eastern
Nepal).
Then,
best-performing
SWAT
model
was
forced
with
cutting-edge
climate
(CMs)
using
thirteen
CMIP6
under
four
shared
socioeconomic
pathways
(SSPs).
We
employed
ten
bias
correction
(BC)
methods
to
capture
local
spatial
variability
precipitation
temperature.
Finally,
likely
streamflow
alteration
during
two
future
periods,
i.e.,
near-term
timeframe
(NF),
spanning
2031
2060,
long-term
(FF),
covering
years
2071
2100,
were
evaluated
against
historical
period
(baseline:
1986–2014),
considering
uncertainties
associated
choice
CMs,
BC
methods,
or/and
SSPs.
study
results
confirm
that
there
will
not
be
any
noticeable
shifts
seasonal
variations
future.
However,
magnitude
is
projected
alter
substantially.
Overall,
estimated
upsurge
upcoming
periods.
observed
less
deviation
expected
April,
around
+5
+7%
more
than
baseline
period.
Notably,
a
higher
percentage
increment
monsoon
season
(June–August).
During
NF
(FF)
period,
flow
+20%
(+40%)
lower
SSPs,
whereas
+30%
(+60%)
SSPs
high
season.
Thus,
likelihoods
flooding,
inundation,
discharge
quite
coming
years.
Water,
Год журнала:
2024,
Номер
16(10), С. 1371 - 1371
Опубликована: Май 11, 2024
The
Mediterranean
region
is
highly
vulnerable
to
climate
change.
Longer
and
more
intense
heatwaves
droughts
are
expected.
Gordes
Dam
in
Turkey
provides
drinking
water
for
Izmir
city
irrigation
a
wide
range
of
crops
grown
the
basin.
Using
Soil
Water
Assessment
Tool
(SWAT),
this
study
examined
effects
projected
change
(RCP
4.5
RCP
8.5)
on
simulated
streamflow,
nitrogen
loads,
crop
yields
basin
period
2031–2060.
A
hierarchical
approach
define
hydrological
response
units
(HRUs)
SWAT
Fast
Automatic
Calibration
(FACT)
were
used
reduce
computational
time
improve
model
performance.
simulations
showed
that
average
annual
discharge
into
reservoir
increase
by
between
0.7
m3/s
4
under
8.5
scenarios.
steep
slopes
changes
precipitation
area
may
lead
higher
streamflow.
In
addition,
rising
temperatures
predicted
projections
could
earlier
spring
snowmelt.
This
also
increased
Projected
loads
8.8
25.1
t/year.
results
agricultural
production
variable.
While
poppy,
tobacco,
winter
barley,
wheat
will
some
extent
because
change,
maize,
cucumbers,
potatoes
all
be
negatively
affected.
Non-continuous
limited
data
quality
uncertainties,
so
accuracy
affected
these
limitations
inconsistencies.
However,
provide
basis
developing
sustainable
land
management
practices
at
catchment
scale
quantity
ecological
balance
resulting
from
use
patterns
economic
benefit
not
fully
demonstrated
study.
To
explore
most
appropriate
strategies
production,
developed
should
further
multi-criteria
optimization
analysis
considers
only
but
targets.