Agricultural Water Management,
Journal Year:
2023,
Volume and Issue:
287, P. 108437 - 108437
Published: July 28, 2023
The
irrigation
efficiency
paradox
says
that
raising
the
of
systems,
thereby
reducing
return
flows,
either
gives
no
change
in
water
depletion
or
it
raises
via
increased
evapotranspiration
and
irrigated
area.
While
this
can
occur,
there
are
problems
associated
with
it.
It
eludes
precise
explanation
characterisation;
be
confused
other
hydrology
paradoxes;
is
one
several
ways
areas
increase;
over-emphasises
role
flows;
relies
on
variables
(usually
unstated)
being
uncontrolled;
inverted
to
reduce
depletion;
may
mistakenly
guide
conservation
systems.
Addressing
these
concerns,
a
comprehensive
predictive
model
called
Irrigated
Systems
Accounting
(ISA)
analyses
undergoing
based
accounts
for
soil-crop
evapotranspiration,
(IE),
practices
infrastructure,
withdrawals,
depletion,
crop
production
reallocation.
By
using
more
calculi
than
current
accounting,
ISA;
resolves
predicts
how
an
system
changes
its
aggregate
area
primary,
expansion
reuse
zones;
reveals
non-IE
factors
drive
up
but
not
necessarily
depletion.
Compiling
all
zonal
reductions
derived
reallocated
users
without
cutting
production.
paper
concludes
hazards
policy
if
exclusively
tied
together
imprecise
characterisations
draw
accounting
models
containing
few
terms
relationships.
Environmental Research Letters,
Journal Year:
2022,
Volume and Issue:
17(6), P. 063008 - 063008
Published: May 27, 2022
Abstract
Irrigated
agriculture
accounts
for
∼90%
of
anthropogenic
freshwater
consumption,
is
deployed
on
22%
cultivated
land,
and
provides
40%
global
food
production.
Expanding
irrigation
onto
currently
underperforming
rainfed
croplands
crucial
to
meet
future
demand
without
further
agricultural
expansion
associated
encroachment
natural
ecosystems.
Establishing
also
a
potential
climate
adaptation
solution
alleviate
heat-
water-stress
crops
reduce
variability
extremes.
Despite
being
one
the
land
management
practices
with
largest
environmental
hydroclimatic
impacts,
role
adapt
change
achieve
sustainability
goals
has
just
started
be
quantified.
This
study
reviews
biophysical
opportunities
feedbacks
‘sustainable
irrigation’.
I
describe
concept
sustainable
expansion—where
there
are
increase
productivity
over
water-limited
by
adopting
that
do
not
deplete
stocks
impair
aquatic
may
avert
but
create
additional
externalities
often
neglected.
review
highlights
major
gaps
in
analysis
understanding
change.
implications
(a)
security,
(b)
conditions,
(c)
water
quality,
(d)
soil
salinization,
(e)
storage
infrastructure,
(f)
energy
use.
These
help
explain
challenges
achieving
irrigated
thus
point
toward
solutions
research
needs.
Environmental Technology & Innovation,
Journal Year:
2023,
Volume and Issue:
32, P. 103266 - 103266
Published: July 4, 2023
Saline-alkali
soil
has
become
significant
problem
for
global
agriculture
and
food
security
as
these
soils
have
poor
physicochemical
conditions
reduce
crop
production
by
causing
a
wide
range
of
physiological
biochemical
changes
in
plants.
More
than
800
million
hectares
(Mha)
land
throughout
the
world
affected
saline-alkali
soil,
which
accounts
6%
total
area
about
62
Mha
or
20%
world's
irrigated
is
soil.
Numerous
studies
on
been
conducted
years
an
attempt
to
plant
productivity
losses.
Utilizing
sewage
sludge
(SS)
efficient
way
improve
its
physiochemical
properties
soil's
health
yield.
However,
in-depth
mechanisms
utilization
sludge,
their
nutrient
levels,
toxic
harmful
substances
such
heavy
metals,
pathogenic
microorganisms,
antibiotics,
resistant
genes
that
affect
yield,
groundwater
quality,
ecological
risks
are
still
uncertain.
This
review
enhances
awareness
knowledge
explore
sustainable
mode
SS
growth
with
rhizosphere
effect,
micro-ecology,
carbon
nitrogen
cycle
enhancement.
The
potential
future
perspectives
research
limitations
also
discussed
article.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: April 10, 2024
Abstract
Irrigation
is
a
land
management
practice
with
major
environmental
impacts.
However,
global
energy
consumption
and
carbon
emissions
resulting
from
irrigation
remain
unknown.
We
assess
the
worldwide
associated
irrigation,
while
also
measuring
potential
reductions
achievable
through
adoption
of
efficient
low-carbon
practices.
Currently,
contributes
216
million
metric
tons
CO
2
consumes
1896
petajoules
annually,
representing
15%
greenhouse
gas
utilized
in
agricultural
operations.
Despite
only
40%
irrigated
agriculture
relies
on
groundwater
sources,
pumping
accounts
for
89%
total
irrigation.
Projections
indicate
that
future
expansion
could
lead
to
28%
increase
usage.
Embracing
highly
efficient,
methods
has
cut
half
reduce
by
90%.
considering
country-specific
feasibility
mitigation
options,
may
see
55%
reduction.
Our
research
offers
comprehensive
insights
into
contributing
valuable
information
can
guide
assessments
viability
enhancing
adaptive
capacity
within
sector.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 30, 2025
Abstract
Understanding
the
impacts
of
climate
change
on
water
resources
is
crucial
for
developing
effective
adaptation
strategies.
We
quantify
“water
gaps”,
or
unsustainable
use
–
shortfall
where
demand
exceeds
supply,
resulting
in
scarcity.
baseline
and
future
gaps
using
a
multi-model
analysis
that
incorporates
two
plausible
warming
scenarios.
The
global
gap
stands
at
457.9
km
3
/yr,
with
projections
indicating
an
increase
26.5
/yr
(+5.8%)
67.4
(+14.7%)
under
1.5
°C
scenarios,
respectively.
These
highlight
uneven
impact
levels
gaps,
emphasizing
need
continued
mitigation
to
alleviate
stress
resources.
Our
results
also
underscore
unequal
needs
across
countries
basins,
influenced
by
varying
important
regional
differences
model
variability
complicating
projections.
Robust
management
strategies
are
needed
tackle
escalating
scarcity
caused
warming.
Hydrological Sciences Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
The
Nash-Sutcliffe
Efficiency
(NSE)
is
commonly
used
as
model
evaluation
metric
in
hydrology,
but
its
prominence
often
taken
for
granted.
This
study
explores
the
social
factors
behind
adoption.
Introduced
1970,
NSE
gained
traction
computational
advancements
spurred
growth
of
hydrological
models
and
metrics.
This,
turn,
led
to
need
converge
on
broadly
accepted
In
1990,
a
committee
recommended
alongside
two
other
One
main
developers
SWAT,
widely
model,
adopted
only
part
this
recommendation,
solidifying
NSE's
dominance.
storyline
shows
that
primacy
appears
be
derived
more
from
tradition
than
demonstration
technical
superiority.
To
date,
path
dependence
visible
ongoing
research
efforts
resulting
popularity
NSE.
historical
perspective
highlights
how
processes
have
shaped
way
are
evaluated.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: June 8, 2022
Miscalculating
the
volumes
of
water
withdrawn
for
irrigation,
largest
consumer
freshwater
in
world,
jeopardizes
sustainable
management.
Hydrological
models
quantify
withdrawals,
but
their
estimates
are
unduly
precise.
Model
imperfections
need
to
be
appreciated
avoid
policy
misjudgements.
Environmental Modelling & Software,
Journal Year:
2021,
Volume and Issue:
146, P. 105226 - 105226
Published: Oct. 9, 2021
Sensitivity
analysis
(SA)
as
a
'formal'
and
'standard'
component
of
scientific
development
policy
support
is
relatively
young.
Many
researchers
practitioners
from
wide
range
disciplines
have
contributed
to
SA
over
the
last
three
decades,
SAMO
(sensitivity
model
output)
conferences,
since
1995,
been
primary
driver
breeding
community
culture
in
this
heterogeneous
population.
Now,
evolving
into
mature
independent
field
science,
indeed
discipline
with
emerging
applications
extending
well
new
areas
such
data
science
machine
learning.
At
growth
stage,
present
editorial
leads
special
issue
consisting
one
Position
Paper
on
"The
future
sensitivity
analysis"
11
research
papers
"Sensitivity
for
environmental
modelling"
published
Environmental
Modelling
&
Software
2020–21.
Science Advances,
Journal Year:
2022,
Volume and Issue:
8(42)
Published: Oct. 19, 2022
Mathematical
models
are
getting
increasingly
detailed
to
better
predict
phenomena
or
gain
more
accurate
insights
into
the
dynamics
of
a
system
interest,
even
when
there
no
validation
training
data
available.
Here,
we
show
through
ANOVA
and
statistical
theory
that
this
practice
promotes
fuzzier
estimates
because
it
generally
increases
model's
effective
dimensions,
i.e.,
number
influential
parameters
weight
high-order
interactions.
By
tracking
evolution
dimensions
output
uncertainty
at
each
model
upgrade
stage,
modelers
can
ponder
whether
addition
detail
truly
matches
purpose
quality
fed
it.