Coupled Coordination of the Water–Food–Energy System in Nine Provinces of the Yellow River Basin: Spatiotemporal Characteristics and Driving Mechanisms
Water,
Journal Year:
2025,
Volume and Issue:
17(7), P. 1040 - 1040
Published: April 1, 2025
This
study
focuses
on
the
Yellow
River
Basin,
a
key
economic
region
spanning
nine
provinces
in
China,
and
explores
complex
interactions
within
water–food–energy
systems.
Based
theoretical
framework
of
coupled
coordination
system,
an
indicator
system
is
developed
to
assess
these
Using
ArcGIS,
identifies
spatiotemporal
characteristics
coupling
systems
Basin.
Additionally,
panel
data
model
employed
analyze
driving
mechanisms
optimization
pathways
for
enhancing
region.
The
results
reveal
that
(1)
degree
between
Basin
varies
significantly
across
space.
(2)
Overall,
relatively
low
exhibits
clustered
pattern.
(3)
Research
development
(R&D)
intensity
significant
factor
influencing
Language: Английский
Multi‐Objective Optimization of the Food‐Energy‐Water Nexus Problem: A Review of the Key Concepts and Emerging Opportunities in Objective Functions, Decision Variables, and Optimization Techniques
Isaac Okola,
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Elisha Opiyo Omulo,
No information about this author
Daniel Orwa Ochieng
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et al.
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 1, 2025
Abstract
Food,
energy,
and
water
are
basic
needs
that
quite
important
in
livelihood
sustainability.
In
most
situations,
their
interactions
make
trade‐offs
between
these
key
areas
of
need
challenging
to
attain.
For
the
Food‐Energy‐Water
Nexus
(FEWN),
there
exists
a
for
appropriate
decision‐making
tools
may
help
surmount
such
challenges.
Multiobjective
Optimization
Approaches
(MOAs)
have
emerged
as
potential
solutions
within
this
domain.
The
major
components
explored
review
include
objective
functions,
decision
variables,
optimization
techniques
MOAs.
Despite
potential,
few
studies
comprehensively
address
concepts
components,
role
stakeholder
involvement,
limitations
existing
research,
emerging
technological
opportunities
could
enhance
MOAs
FEWN.
Preferred
Reporting
Items
Systematic
Reviews
Meta‐Analyses
protocol,
was
combined
with
Meta‐ethnography
select,
review,
analyze
literature.
data
synthesis
done
by
meta‐ethnography,
finding
terms
categorize
developing
related
Key
categorizing
functions
maximizing
economic,
environmental,
social
benefits
food,
security.
availability,
accessibility,
sufficiency,
while
Mathematical
Programming
Metaheuristics.
Besides,
technologies
create
substantial
improve
performance
Therefore,
is
develop
integrate
aspects
support
sustainability
Language: Английский
Conducting water-energy-food nexus studies: what, why, and how
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 9, 2024
The
increasing
pressure
on
resources
and
the
persistent
failure
to
address
global
malnutrition
are
evident
challenges.
A
significant
contributing
factor
is
decline
in
quality
of
production
resources,
particularly
water.
As
a
result,
many
countries
their
experts
have
prioritized
need
balance
resource
consumption.
To
research
gap
regarding
balanced
optimal
use,
various
methodologies
been
developed
over
time,
culminating
nexus
studies.
This
study
aimed
investigate
what,
why,
how
conducting
water-energy-food
(WEFN)
employed
sequential
mixed-methods
approach,
integrating
content
analysis
with
Analytical
Network
Process
(ANP).
findings
reveal
that
objectives
WEFN
studies
encompass
wide
range
interests,
which
can
be
systematically
categorized
into
seven
principal
domains:
system
sustainability
assessment,
integration
planning
decision-making
processes
related
consumption,
optimization
management
consumption
systems,
development
theoretical
frameworks
for
nexus,
evaluation
impacts
assessment
associated
risks.
Notably,
results
indicate
most
critical
reason
Furthermore,
identified
simulation
as
effective
technique
within
Hierarchy
(AHP)
framework.
In
context
ANP
technique,
statistical
emerged
important
methods.
advocates
using
diagram
facilitate
selection
method
study.
Language: Английский
Multi-objective cropping pattern optimization and comparative assessment with the food-energy-water nexus
Water Science & Technology Water Supply,
Journal Year:
2024,
Volume and Issue:
24(12), P. 4077 - 4093
Published: Dec. 1, 2024
ABSTRACT
Agriculture
is
the
largest
consumer
of
water,
accounting
for
nearly
70%
global
freshwater
consumption,
and
it
also
uses
about
30%
world's
energy.
This
creates
an
increasing
challenge
efficient
use
water
energy
resources
while
adequately
meeting
food
demand.
Therefore,
understanding
interrelations
between
food,
energy,
crucial.
In
this
study,
a
multi-objective
linear
programming
model
was
employed
to
identify
alternative
scenarios
optimal
cropping
areas
that
minimize
in
agriculture
maximize
agricultural
income.
Different
weight
coefficients
were
assigned
these
objective
functions
generate
various
scenarios.
Once
patterns
each
scenario
determined,
parameters
such
as
use,
requirements,
revenue,
carbon
dioxide
emissions
calculated
based
on
food-energy-water
nexus.
The
results
crop
pattern
then
analyzed.
indicate
prioritizing
minimizing
leads
average
reduction
3.35%
1.18%
demand,
0.26%
emissions,
income
increases
by
1%
compared
base
scenario.
Conversely,
when
maximizing
prioritized,
there
increase
2.05%
Language: Английский