Abstract.
In
agricultural
areas,
the
downstream
flow
can
be
highly
influenced
by
human
activities
during
low
periods,
especially
dam
releases
and
irrigation
withdrawals.
Irrigation
is
indeed
major
use
of
freshwater
in
world.
This
study
aims
at
precisely
taking
these
factors
into
account
a
watershed
model.
The
Soil
Water
Assessment
Tool
(SWAT+)
agro-hydrological
model
was
chosen
for
its
capacity
to
crop
dynamics
management.
Two
different
models
were
compared
their
ability
estimate
water
needs
actual
irrigation.
first
based
on
air
temperature
as
main
determining
factor
growth,
whereas
second
relies
high
resolution
data
from
Sentinel-2
satellite
monitor
plant
growth.
Both
are
applied
plot
scale
800
km2
characterized
Results
show
that
including
remote
sensing
leads
more
realistic
modeled
emergence
dates
summer
crops.
However
both
approaches
have
proven
able
reproduce
evolution
daily
withdrawals
throughout
year.
As
result,
allowed
simulate
with
good
accuracy,
periods.
Water Resources Research,
Год журнала:
2024,
Номер
60(10)
Опубликована: Окт. 1, 2024
Abstract
Vegetation‐related
processes,
such
as
evapotranspiration
(ET),
irrigation
water
withdrawal,
and
groundwater
recharge,
are
influencing
surface
(SW)—groundwater
(GW)
interaction
in
districts.
Meanwhile,
conventional
numerical
models
of
SW‐GW
not
developed
based
on
satellite‐based
observations
vegetation
indices.
In
this
paper,
we
propose
a
novel
methodology
for
multivariate
assimilation
Sentinel‐based
leaf
area
index
(LAI)
well
in‐situ
records
streamflow.
Moreover,
the
GW
model
is
initially
calibrated
table
observations.
These
assimilated
into
SWAT‐MODFLOW
to
accurately
analyze
advantage
considering
high‐resolution
LAI
data
modeling.
We
develop
(DA)
framework
using
particle
filter
sampling
importance
resampling
(PF‐SIR).
Parameters
MODFLOW
parameter
estimation
(PEST)
algorithm
observation
table.
The
implemented
over
Mahabad
Irrigation
Plain,
located
Urmia
Lake
Basin
Iran.
Some
DA
scenarios
closely
examined,
including
univariate
(L‐DA),
streamflow
(S‐DA),
streamflow‐LAI
(SL‐DA).
Results
show
that
SL‐DA
scenario
results
best
estimations
streamflow,
LAI,
level,
compared
other
scenarios.
does
improve
accuracy
estimation,
while
significant
improvements
simulation,
where,
open
loop
run,
(absolute)
bias
decreases
from
75%
6%.
S‐DA,
L‐DA,
underestimates
use
demand
potential
actual
crop
yield.
ABSTRACT
Headwater
watersheds
and
forests
play
a
crucial
role
in
ensuring
water
security
for
the
western
United
States.
Reducing
forest
biomass
from
current
overgrown
can
mitigate
severity
impact
of
wildfires
offer
additional
competing
ecohydrological
benefits.
A
reduction
canopy
interception
transpiration
following
treatments
lead
to
an
increase
available
remaining
trees
runoff.
However,
management
on
balance
be
highly
variable
due
differences
climate,
topography,
location
vegetation.
In
this
study,
we
used
Soil
Water
Assessment
Tool
Plus
model
investigate
how
decisions
regarding
location,
intensity
scale
affect
both
evapotranspiration
streamflow
large
watershed
such
as
upper
Kings
River
Basin
(3998
km
2
).
The
was
parameterized
using
multiobjective
calibration
streamflow,
snow
equivalent
evapotranspiration.
Various
treatment
scenarios
were
simulated
across
different
years
regions
landscape.
Modelling
results
show
that
during
dry
years,
gains
are
primarily
originated
energy‐limited
(i.e.,
82%
total
first
year).
water‐limited
regions,
is
prioritized
sustaining
trees,
improving
health
recharging
subsurface
storage,
rather
than
increasing
streamflow.
During
wet
contribution
comes
energy‐
areas.
These
findings
emphasize
importance
evaluating
larger
scale.
benefits
downstream
users
driven
by
energy
limitations
vegetation
targeted
treatments,
well
climate
variability
modulates
availability
recovery
time.
Water Science & Technology Water Supply,
Год журнала:
2023,
Номер
23(3), С. 1189 - 1207
Опубликована: Фев. 22, 2023
Abstract
The
accurate
estimation
of
runoff
by
hydrological
models
depends
on
proper
model
calibration.
Sequential
Data
Assimilation
(DA),
as
an
online
method,
is
used
to
estimate
complex
models'
states
and
parameters
simultaneously.
Although
DA
was
applied
for
estimating
the
Soil
Water
Assessment
Tool
(SWAT)
model's
state
and/or
parameter,
previous
research
did
not
pay
attention
calibration
or
comparison
between
popular
SWAT
methods.
This
paper
compares
Ensemble
Kalman
Filter
(EnKF),
a
well-known
with
Uncertainty
Fitting
(SUFI2),
calibrate
model.
We
test
impact
selected
objective
function
in
SUFI2
application.
evaluate
results
based
multiple
deterministic
uncertainty-based
Goodness
Fit
(GOF)
measures
compare
all
scenarios
simulation
accuracy,
computational
burden,
uncertainty
assessment,
parameter
ranges.
Results
show
that
under
application,
some
GOFs
might
be
located
unsatisfactory
ranges
while
algorithm
obtains
(very)
good
concerning
functions.
On
other
hand,
EnKF
simultaneously
locates
most
ratings.
Moreover,
we
found
selection
SUFI2's
specification
uncertainty's
error
have
significant
effects
results.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Фев. 28, 2023
Abstract
Hydrologic
extremes
often
involve
a
complex
interplay
of
several
processes.
For
example,
flood
events
can
have
cascade
impacts,
such
as
saturated
soils
and
suppressed
vegetation
growth.
Accurate
representation
interconnected
processes
while
accounting
for
associated
triggering
factors
subsequent
impacts
is
difficult
to
achieve
with
conceptual
hydrological
models
alone.
In
this
study,
we
use
the
2019
in
Northern
Mississippi
Missouri
Basins,
which
caused
series
hydrologic
disturbances,
an
example
event.
This
event
began
above-average
precipitation
combined
anomalously
high
snowmelt
spring
2019.
anomalies
resulted
above
normal
soil
moisture
that
prevented
crops
from
being
planted
over
much
corn
belt
region.
present
demonstrate
incorporating
remote
sensing
information
within
modeling
system
adds
substantial
value
representing
lead
resulting
agricultural
disturbances.
data
infusion
improves
accuracy
estimates
by
up
16%
24%,
respectively,
it
also
relative
reference
crop
fraction
anomalies.
