PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(10), P. e0301881 - e0301881
Published: Oct. 14, 2024
This
study
enhances
our
understanding
of
the
psychological
factors
influencing
farmers’
adoption
sustainable
farming
practices,
specifically
those
related
to
achieving
NetZero
emissions.
It
achieves
this
by
integrating
various
theories
with
practical
methods
within
context
Behavioral-Adoption
and
Purpose-Driven
contexts.
The
research
consisted
two
studies.
Study
1
employed
Exploratory
Factor
Analysis
(EFA)
analyze
responses
from
438
UK
farmers
regarding
their
attitudes
toward
a
series
Net
Zero
policy
commitments,
drawing
on
including
Unified
Theory
Acceptance
Use
Technology,
Planned
Behavior,
Prototype
Willingness
Model,
Implementation
Intentions,
Self-Determination
Theory,
Eudaimonia,
Integrated
Model
Health
Literacy.
findings
revealed
new
Motivation
for
Sustainable
Farming
that
comprises
seven
factors:
Agricultural
Commitment
Stewardship,
Readiness
Confidence,
Incentive
Engagement
Acceptance,
Climate
Adaptation
Competence
Accountability
Reporting
Commitment,
Community
Influence
in
Farming,
Innovation
Technological
Competence.
2
validated
these
through
development
21-item
scale
use
Confirmatory
(CFA)
confirm
7-factor
structure
using
subsample
418
an
additional
230
US
farmers.
Furthermore,
tested
concurrent
validity
demonstrating
significant
associations
reported
behaviors.
These
underscore
complex
interplay
motivational,
cognitive,
social
processes
practices.
integrated
model
developed
provides
parsimonious
valuable
insights
policymakers
foster
practices
effectively.
confirmation
across
populations
its
generalizability
potential
guide
targeted
interventions
aimed
at
behavioral
change
pursuit
targets
agriculture.
Cleaner Water,
Journal Year:
2024,
Volume and Issue:
2, P. 100026 - 100026
Published: July 14, 2024
Despite
Nigeria's
immense
wealth
in
water
resources,
the
country
faces
a
significant
crisis
that
is
exceptionally
difficult
to
resolve,
particularly
considering
associated
public
health
and
security
challenges.
This
review
aims
expound
on
complex
determinants
outcomes
of
shortage
Nigeria
focusing
more
its
effects
general
livelihood
stability
Nigerians.
Using
systematic
approach,
this
paper
reviews
scarcity,
causes
pollution–
including
urban
activities,
agrochemical
run-offs,
mismanagement
–
their
negative
impacts
environment
Nigeria.
A
total
305
studies
relating
pollution
were
examined
study.
One
point
evaluation
outlines
existing
barriers
preventing
all-inclusive
availability
clean
water,
for
example,
lack
appropriate
infrastructure
inefficient
resource
management.
The
emphasizes
improving
treatment
facilities,
advancing
management
strategies
are
sustainable,
tightening
certain
laws.
Resources Environment and Sustainability,
Journal Year:
2023,
Volume and Issue:
15, P. 100144 - 100144
Published: Dec. 21, 2023
Urban
water
consumption
has
significant
implications
for
both
human
welfare
and
the
environment,
especially
in
arid
regions.
In
Saudi
Arabia,
where
60%
of
urban
supply
relies
on
energy-intensive
desalination
processes,
average
per
capita
rate
300
L/day
is
one
highest
worldwide.
This
study
investigates
potential
behavioral
patterns
residential
among
households
Arabia.
A
segmentation
approach
employed
to
classify
residents
into
clusters
evaluate
their
patterns.
Data
from
618
were
collected
via
a
structured
questionnaire
analyzed
using
descriptive
statistics,
principal
component
analysis
(PCA),
cluster
(CA).
Participants
categorized
six
segments
based
relationship
between
behaviors
derived
factor
analysis.
The
outcomes
PCA
CA
analyses
indicate
respondents'
socio-demographic
factors
consumption.
findings
highlight
that
education,
household
size,
income,
housing
type,
age,
nationality,
increasing
order
significance,
are
key
influencing
conservation
tendencies.
paper
concludes
comprehending
crucial
effective
interventions,
social
marketing
strategies,
communication
campaigns
changes.
can
inform
policies
programs
promote
sustainable
practices,
benefiting
agencies,
policymakers,
scholars
sector.
Engineering Technology & Applied Science Research,
Journal Year:
2024,
Volume and Issue:
14(2), P. 13578 - 13583
Published: April 2, 2024
Water
scarcity
is
considered
a
major
problem
in
dry
regions,
such
as
the
northern
areas
of
Saudi
Arabia
and
especially
city
Hail.
resources
this
region
come
mainly
from
groundwater
aquifers,
which
are
currently
suffering
high
demand
severe
climatic
conditions.
Forecasting
water
consumption
accurately
possible
may
contribute
to
level
sustainability
resources.
This
study
investigated
different
Machine
Learning
(ML)
algorithms,
namely
Support
Vector
(SVM),
Random
Forest
(RF),
Linear
Regression
(LR),
Gradient
Boosting
(GB),
efficiently
predict
areas.
These
models
were
evaluated
using
set
performance
measures,
including
Mean
Squared
Error
(MSE),
R-squared
(R2),
Absolute
(MAE),
Explained
Variance
Score
(EVS),
Percentage
(MAPE),
Median
(MedAE).
Two
datasets,
weather
data,
collected
sources
examine
ML
algorithms.
The
novelty
lies
integration
both
data.
After
examining
most
effective
features,
two
datasets
merged
proposed
algorithms
applied.
RF
algorithm
outperformed
other
models,
indicating
its
robustness
capturing
usage
behavior
Hail
City.
results
can
be
used
by
local
authorities
decision-making,
analysis,
new
project
construction,
consumer
regarding
habits
region.
International Journal of Latest Technology in Engineering Management & Applied Science,
Journal Year:
2025,
Volume and Issue:
14(3), P. 128 - 136
Published: April 3, 2025
Abstract:
The
escalating
global
demand
for
water,
alongside
diminishing
freshwater
resources,
has
heightened
the
urgency
sustainable
wastewater
management
solutions.
Circular
Economy
seeks
to
transform
from
an
environmental
burden
into
a
valuable
resource
by
minimizing
waste
and
maximizing
recovery.
This
study
investigates
essential
strategies
implementing
circular
economy
practices,
focusing
on
water
reuse,
nutrient
recovery,
energy
generation
foster
both
sustainability
economic
viability.
It
also
examines
recovery
of
resources
like
biogas,
phosphorus,
nitrogen,
which
contribute
agricultural
productivity.
research
further
delves
policy
frameworks,
factors,
societal
influences
that
affect
adoption
practices.
Emphasis
is
placed
collaborative
roles
governments,
industries,
communities
in
advancing
solutions
addressing
implementation
challenges.
integration
smart
technologies,
including
IoT
data
analytics,
highlighted
as
means
optimize
improve
system
efficiency.
Findings
suggest
adopting
can
significantly
reduce
impacts,
lower
operational
costs,
create
new
opportunities
within
sector.
Nonetheless,
challenges
such
technological
limitations,
regulatory
barriers,
financial
constraints,
public
acceptance
must
be
addressed
fully
realize
these
benefits.
contributes
expanding
body
knowledge
management,
offering
roadmap
policymakers,
engineers,
stakeholders
develop
resilient
systems
support
objectives
security,
climate
resilience,
Future
should
focus
scaling
solutions,
conducting
life
cycle
assessments,
evaluating
long-term
socio-economic
impacts
strategies.