Land,
Journal Year:
2023,
Volume and Issue:
12(4), P. 744 - 744
Published: March 25, 2023
A
goal
of
land
change
modelers
should
be
to
communicate
scenarios
future
that
show
the
variety
possible
landscapes
based
on
consequences
management
decisions.
This
study
employs
Markov-FLUS
model
simulate
land-use
changes
in
Hubei
Province
multiple
consider
social,
economic,
and
ecological
policies
using
18
driving
factors,
including
point-of-interest
data.
First,
was
developed
validated
with
historical
data
from
2000
2020.
The
then
used
2020
2035
four
scenarios:
natural
development,
economic
priority,
protection,
cultivated
protection.
results
effectively
simulates
pattern
Province,
an
overall
accuracy
0.93
for
use
simulation
Kappa
coefficient
FOM
index
also
achieved
0.86
0.139,
respectively.
In
all
scenarios,
remained
primary
type
2035,
while
construction
showed
increasing
trend.
However,
there
were
large
differences
simulated
patterns
different
scenarios.
Construction
expanded
most
rapidly
priority
scenario,
it
more
slowly
protection
scenario.
We
designed
scenario
restrict
rapid
expansion
land.
development
encroached
forests.
contrast,
forests
water
areas
well-preserved,
decrease
increase
suppressed,
resulting
a
improvement
sustainability.
Finally,
spread
curbed.
conclusion,
applied
this
has
substantial
implications
effective
utilization
resources
environment
Province.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(17), P. 13007 - 13007
Published: Aug. 29, 2023
The
growing
population,
intensified
anthropogenic
pressures
and
climate
variability
have
increased
the
demands
on
available
water
resources,
reuse
has
become
a
high
priority,
particularly
in
areas
of
world
suffering
from
stress.
main
objectives
this
review
paper
are
to
consider
identify
potential
opportunities
challenges
implementation
schemes
worldwide
by
considering
analyzing
different
fields
interest
reuse,
current
future
global
drivers
policies,
existing
advances
treatment
technologies
promising
elimination
environmental
footprint
human
health
risk,
an
analysis
trends
potable
non-potable
development
quality
criteria
issues
related
transition
circular
economy.
Moreover,
major
knowledge
gaps
critical
domains
discussed.
For
study,
thorough
literature
was
conducted,
using
research
articles,
technical
reports,
specific
national
(and
EU)
proposals,
guidance
documents,
legislative
initiatives
actions,
as
well
any
validly
disseminated
findings
scientists
around
wider
scientific
area
(alternative)
supply,
management,
sustainable
development,
protection
public
health.
Water
practices
expected
increase
future,
mainly
developed
countries
climate-vulnerable
planet.
Current
wastewater
can
provide
opportunity
for
foul
exploitation
alternative
increasing
systems
worldwide,
relying
pollutant/contaminant
elimination,
improving
economic
energy
performances.
paradigmatic
technological
switches
based
improved
understanding
relationships
between
cycle
Water–Energy–Food
(WEF)
Nexus
will
perspective
schemes.
benefits
recovery
nutrients
through
sewage
also
highlighted,
arising
reduced
costs
associated
with
their
sheer
removal
supplement
fertilizers
WEF
Nexus.
On
other
hand,
nutrient
may
promote
agricultural
or
landscape
practices,
contributing
less
consumption
reducing
GHGs
emissions.
Regarding
management
use
schemes,
holistic
approach
(integrated
management)
is
proposed,
incorporating
regulatory
actions
awareness,
interconnection
among
actors/stakeholders,
efficient
control
monitoring.
establishment
paramount
preventing
undesirable
impacts
humans
environment.
study
considers
“one
water”
concept,
which
means
equal
independent
origin
water,
instead
differentiates
types
facilitate
reuse.
Finally,
it
highlights
need
understand
ecosystem
services
(ESs)
consequences
achieving
goals
(SDGs).
Land,
Journal Year:
2023,
Volume and Issue:
12(4), P. 744 - 744
Published: March 25, 2023
A
goal
of
land
change
modelers
should
be
to
communicate
scenarios
future
that
show
the
variety
possible
landscapes
based
on
consequences
management
decisions.
This
study
employs
Markov-FLUS
model
simulate
land-use
changes
in
Hubei
Province
multiple
consider
social,
economic,
and
ecological
policies
using
18
driving
factors,
including
point-of-interest
data.
First,
was
developed
validated
with
historical
data
from
2000
2020.
The
then
used
2020
2035
four
scenarios:
natural
development,
economic
priority,
protection,
cultivated
protection.
results
effectively
simulates
pattern
Province,
an
overall
accuracy
0.93
for
use
simulation
Kappa
coefficient
FOM
index
also
achieved
0.86
0.139,
respectively.
In
all
scenarios,
remained
primary
type
2035,
while
construction
showed
increasing
trend.
However,
there
were
large
differences
simulated
patterns
different
scenarios.
Construction
expanded
most
rapidly
priority
scenario,
it
more
slowly
protection
scenario.
We
designed
scenario
restrict
rapid
expansion
land.
development
encroached
forests.
contrast,
forests
water
areas
well-preserved,
decrease
increase
suppressed,
resulting
a
improvement
sustainability.
Finally,
spread
curbed.
conclusion,
applied
this
has
substantial
implications
effective
utilization
resources
environment
Province.
