Abstract.
In
semi-arid
irrigated
environments,
the
agricultural
drainage
is
at
heart
of
three
agro-environmental
issues:
it
an
indicator
water
productivity,
main
control
to
prevent
soil
salinization
and
waterlogging
problems,
related
health
downstream
ecosystems.
Crop
balance
models
combined
with
subsurface
can
be
used
estimate
quantities
dynamics
various
spatial
scales.
However,
precision
(capacity
a
model
fit
observed
using
site-specific
calibration)
accuracy
approximate
default
input
parameters)
such
have
not
yet
been
assessed
in
areas.
To
fill
gap,
this
study
evaluates
four
parsimonious
based
on
combination
two
surface
(RU
SAMIR)
(Reservoir
SIDRA)
varying
complexity
levels:
RU-Reservoir,
RU-SIDRA,
SAMIR-Reservoir,
SAMIR-SIDRA.
All
were
applied
over
sub-basins
Algerri-Balaguer
irrigation
district,
northeastern
Spain,
that
are
equipped
drains
driving
drained
general
outlets
where
discharge
continuously
monitored.
Results
show
RU-Reservoir
most
precise
(average
KGE
(Q0.5)
0.87),
followed
by
SAMIR-Reservoir
0.79).
accurate
for
providing
rough
estimates
parameters
provided
literature.
Agricultural Water Management,
Journal Year:
2024,
Volume and Issue:
293, P. 108704 - 108704
Published: Feb. 2, 2024
Irrigation
is
the
most
water
consuming
activity
in
world.
Knowing
timing
and
amount
of
irrigation
that
actually
applied
therefore
fundamental
for
managers.
However,
this
information
rarely
available
at
all
scales
subject
to
large
uncertainties
due
wide
variety
existing
agricultural
practices
associated
regimes
(full
irrigation,
deficit
or
over-irrigation).
To
fill
gap,
we
propose
a
two-step
approach
based
on
15
m
resolution
Sentinel-1
(S1)
surface
soil
moisture
(SSM)
data
retrieve
actual
weekly
scale
over
an
entire
district.
In
first
step,
S1-derived
SSM
assimilated
into
FAO-56-based
crop
balance
model
(SAMIR)
each
type
both
(Idose)
threshold
(SMthreshold)
which
triggered.
do
this,
particle
filter
method
implemented,
with
particles
reset
month
provide
time-varying
SMthreshold
Idose.
second
retrieved
Idose
values
are
used
as
input
SAMIR
estimate
its
uncertainty.
The
assimilation
(SSM-ASSIM)
tested
8000
hectare
Algerri-Balaguer
district
located
northeastern
Spain,
where
situ
integrating
whole
during
2019.
For
evaluation,
performance
SSM-ASSIM
compared
default
FAO-56
module
(called
FAO56-DEF),
sets
critical
value
systematically
fills
reservoir
event.
2019,
observed
annual
687
mm,
(FAO56-DEF)
shows
root
mean
square
deviation
between
6.7
(8.8)
mm
week-1,
bias
+0.3
(−1.4)
Pearson
correlation
coefficient
0.88
(0.78).
great
potential
retrieving
use
extended
areas
any
regime,
including
over-irrigation.
Agronomy,
Journal Year:
2023,
Volume and Issue:
13(7), P. 1938 - 1938
Published: July 22, 2023
To
improve
water
use
efficiency
and
productivity,
particularly
in
irrigated
areas,
reliable
accounting
methodologies
are
essential,
as
they
provide
information
on
the
status
trends
irrigation
availability/supply
consumption/demand.
At
collective
system
level,
(IWA)
relies
quantification
of
fluxes
from
diversion
point
to
plants,
at
both
conveyance
distribution
network
field
level.
Direct
measurement
is
most
accurate
method
for
IWA,
but
cases,
there
limited
metering
despite
increasing
pressure
groundwater
surface
resources,
hindering
procedures.
However,
various
methodologies,
tools,
indicators
have
been
developed
estimate
IWA
components,
depending
scale
level
detail
being
considered.
Another
setback
wide
implementation
vast
terminology
used
literature
different
scales
levels
application.
Thus,
main
objectives
this
review,
which
focuses
services,
(i)
demonstrate
importance
by
showing
its
relationship
with
productivity
efficiency;
(ii)
clarify
concepts
related
IWA;
(iii)
an
overview
approaches
obtain
data
demand
side,
on-farm
systems.
From
it
can
be
concluded
that
a
need
provides
common
base
all
stakeholders.
Future
work
could
include
development
user-friendly
tools
reduce
bridge
between
technology
available
collect
process
components
effective
Plants,
Journal Year:
2023,
Volume and Issue:
12(8), P. 1676 - 1676
Published: April 17, 2023
Appropriate
irrigation
schedules
could
minimize
the
existing
imbalance
between
agricultural
water
supply
and
crop
requirements
(ETc),
which
is
severely
impacted
by
climate
change.
In
this
study,
different
hydrological
years
(a
wet
year,
normal
dry
an
extremely
year)
in
Heilongjiang
Province
were
calculated
frequency
methods.
Then,
single
coefficient
method
was
used
to
calculate
maize
ETc,
based
on
daily
meteorological
data
of
26
stations
from
1960
2020.
Afterward,
CROPWAT
model
effective
precipitation
(Pe)
requirement
(Ir),
formulate
under
years.
The
results
showed
that
ETc
Ir
decreased
first
then
increased
west
east.
Pe
surplus
deficit
index
east
Province.
Meanwhile,
average
values
171.14
mm,
232.79
279.08
334.47
mm
respectively.
divided
into
four
zones
according
Last,
quotas
for
year
0~180
20~240
60~300
80~430
This
study
provides
reliable
support
practices
Province,
China.
Agricultural Water Management,
Journal Year:
2023,
Volume and Issue:
290, P. 108594 - 108594
Published: Nov. 22, 2023
Irrigated
agriculture
is
the
primary
driver
of
freshwater
use
and
continuously
expanding.
Precise
knowledge
irrigation
amounts
critical
for
optimizing
water
management,
especially
in
semi-arid
regions
where
a
limited
resource.
This
study
proposed
to
adapt
PrISM
(Precipitation
inferred
from
Soil
Moisture)
methodology
detect
estimate
events
soil
moisture
remotely
sensed
data.
was
originally
conceived
correct
precipitation
products,
assimilating
Moisture
(SM)
observations
into
an
antecedent
index
(API)
formula,
using
particle
filter
scheme.
novel
application
uses
initial
SM
instances
excess
(not
caused
by
precipitation)
estimates
amount
irrigation,
along
with
its
uncertainty.
newly
approach
does
not
require
extensive
calibration
adaptable
different
spatial
temporal
scales.
The
objective
this
analyze
performance
estimation
compare
it
current
state-of-the-art
approaches.
To
develop
test
methodology,
synthetic
conducted
various
noise
levels
simulate
uncertainties
resolutions.
results
indicated
that
high
resolution
(less
than
3
days)
crucial
avoid
underestimating
due
missing
events.
However,
including
constraint
on
frequency
events,
deduced
system
used
at
field
level,
could
overcome
limitation
low
significantly
reduce
underestimation
amounts.
Subsequently,
developed
applied
actual
satellite
products
scales
(1
km
100
m)
over
same
area.
Validation
performed
situ
data
district
level
Algerri-Balaguer
Catalunya,
Spain,
were
available
years.
validation
resulted
total
Pearson's
correlation
coefficient
(r)
0.80
root
mean
square
error
(rmse)
7.19
mm∕week
years
2017
2021.
Additional
Segarra-Garrigues
profiles
monitored.
yielded
bi-weekly
r
0.81
rmse
−9.34
mm∕14-days
Overall,
suggested
can
effectively
remote
sensing
data,
has
potential
be
large
scale
without
requiring
or
site-specific
knowledge.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(7), P. 1116 - 1116
Published: March 22, 2024
Efficient
water
management
strategies
are
of
utmost
importance
in
drought-prone
regions,
given
the
fundamental
role
irrigation
plays
avoiding
yield
losses
and
food
shortages.
Traditional
methodologies
for
estimating
amounts
face
limitations
terms
overall
precision
operational
scalability.
This
study
proposes
to
estimate
from
soil
moisture
(SM)
data
by
adapting
PrISM
(Precipitation
Inferred
Soil
Moisture)
methodology.
The
assimilates
SM
into
a
simple
Antecedent
Precipitation
Index
(API)
model
using
particle
filter
approach,
which
allows
creation
estimation
events.
methodology
is
applied
semi-arid
region
Ebro
basin,
located
north-east
Spain
(Catalonia),
2016
2023.
Multi-year
drought,
started
2020,
particularly
affected
starting
spring
2023,
led
significant
reductions
district
allocations
some
areas
region.
demonstrates
that
approach
can
correctly
identify
where
restrictions
were
adopted
monitor
usage
with
good
performances
reliable
results.
When
compared
situ
8
consecutive
years,
showed
person’s
correlation
between
0.58
0.76
cumulative
weekly
root
mean
squared
error
(rmse)
7
11
mm.
Additionally,
was
three
districts
different
levels
modernization,
due
predominant
systems:
flood,
sprinkler,
drip.
analysis
underlined
strengths
depending
on
techniques
monitored.
has
irrigated
sprinkler
flood
systems,
while
difficulties
present
over
drip
areas,
very
localized
limited
could
not
be
detected
observations.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(1), P. 49 - 64
Published: Jan. 3, 2024
Abstract.
In
agricultural
areas,
the
downstream
flow
can
be
highly
influenced
by
human
activities
during
low-flow
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
terms
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
that
characterized
Results
show
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
us
simulate
with
good
accuracy,
periods.
Agricultural Water Management,
Journal Year:
2024,
Volume and Issue:
302, P. 108962 - 108962
Published: July 28, 2024
Benchmarking
is
an
effective
management
tool
to
improve
irrigation
performance
through
comparison
with
other
units;
however,
its
application
often
limited
by
the
data
available
support
analysis.
This
study
developed
a
benchmarking
system
that
reduces
reliance
on
local
using
satellite-based
estimates
and
quantifies
uncertainty
due
alternative
sources.
We
benchmarked
relative
supply
(RISsatellite)
(i.e.
ratio
of
crop
net
demand)
for
more
than
300
farms
growing
corn/maize,
cotton
rice
crops
in
Coleambally
Irrigation
Area
Australia
from
2011
2019.
Three
key
inputs
RISsatellite,
namely
irrigated
cropping
area
(ICA),
start
end
dates
season
(SOS/EOS)
coefficient
(Kc),
were
derived
Landsat
time
series
data.
To
understand
benchmarking,
RISsatellite
was
compared
RISnon-satellite
non-satellite
datasets.
The
variation
RIS
respect
input
sources
reliability
also
quantified.
highly
variable
across
any
particular
year,
over-irrigation
(RISsatellite>1)
common.
In
addition,
each
farm
tended
have
consistent
ranking
years,
indicating
role
farmers'
practice
RIS.
ICA
different
datasets
contributed
most
random
RIS,
while
presented
reliable
median
absolute
percentage
error
5
%,
which
half
survey-based
ICA.
conclude
our
overcoming
limitations
likely
be
systems
survey
can
improved
monitoring
this
district
transferable
areas
information
available.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(16), P. 3695 - 3716
Published: Aug. 16, 2024
Abstract.
In
semi-arid
irrigated
environments,
agricultural
drainage
is
at
the
heart
of
three
agro-environmental
issues:
it
an
indicator
water
productivity,
main
control
to
prevent
soil
salinization
and
waterlogging
problems,
related
health
downstream
ecosystems.
Crop
balance
models
combined
with
subsurface
can
estimate
quantities
dynamics
various
spatial
scales.
However,
such
models'
precision
(capacity
a
model
fit
observed
using
site-specific
calibration)
accuracy
approximate
default
input
parameters)
have
not
yet
been
assessed
in
areas.
To
fill
gap,
this
study
evaluates
four
parsimonious
based
on
combination
two
surface
(RU
SAMIR)
(Reservoir
SIDRA)
varying
complexity
levels:
RU-Reservoir,
RU-SIDRA,
SAMIR-Reservoir,
SAMIR-SIDRA.
All
were
applied
over
sub-basins
Algerri–Balaguer
irrigation
district,
northeastern
Spain,
equipped
drains
driving
drained
general
outlets
where
discharge
continuously
monitored.
Results
show
that
RU-Reservoir
most
precise
(average
KGE
(Q0.5)
0.87),
followed
by
SAMIR-Reservoir
0.79).
accurate
for
providing
rough
estimates
parameters
provided
literature.
