Global Sustainability Research,
Год журнала:
2024,
Номер
unknown, С. 48 - 73
Опубликована: Ноя. 24, 2024
Deep
learning
(DL)
techniques
and
algorithms
have
the
capacity
to
significantly
impact
world
economies,
ecosystems,
communities.
DL
technologies
been
utilized
in
development
administration
of
urban
structures.
However,
there
exists
a
dearth
literature
reviewing
present
level
these
applications
exploring
potential
directions
which
can
address
water
challenges.
This
study
aims
review
demand
projections,
leakage
detection
localization,
drainage
defect
blockage,
cyber
security
wealth
surveillance,
wastewater
recycling
management,
safety
prediction,
rainfall
conversation,
irrigation
regulation.
The
application
is
currently
its
early
stages.
Most
studies
adopted
standard
networks,
simulated
information,
experimental
or
prototype
settings
evaluate
efficacy
approaches.
no
reported
instances
practical
adoption.
Compared
other
reviewed
problems,
being
implemented
practically
daily
operations
handling
facilities.
major
challenges
for
deployment
management
include
algorithmic
development,
multi-agent
platforms,
virtual
clones,
data
quality
availability,
security,
context-aware
analysis,
training
efficiency.
We
validate
our
by
using
several
case
that
employ
treatment.
Prospective
exploration
systems
are
anticipated
advance
toward
increased
cognition
flexibility.
research
encourage
further
utilizing
feasible
usage
digitalization
global
sector.
Global Sustainability Research,
Год журнала:
2024,
Номер
3(1), С. 1 - 24
Опубликована: Янв. 7, 2024
The
aim
of
this
study
was
to
consolidate
current
information
on
the
utilization
Geographic
Information
Systems
(GIS)
and
Remote
Sensing
(RS)
in
agricultural
sector,
with
a
focus
their
role
promoting
evidence-based
policies
practices
enhance
sustainability.
Additionally,
review
sought
identify
challenges
hindering
widespread
adoption
GIS
RS
applications,
particularly
low-
middle-income
nations.
This
employed
methodology
systematic
literature
review.
findings
indicate
that
technology
sector
has
experienced
notable
increase
over
past
few
years.
primary
areas
use
for
have
been
identified
encompass
crop
yield
estimation,
assessment
soil
fertility,
monitoring
cropping
patterns,
evaluation
drought
conditions,
detection
management
pests
diseases,
implementation
precision
agriculture
techniques,
fertilizer
weed
control.
possesses
capacity
augment
sustainability
by
incorporating
spatial
aspect
into
policies.
Furthermore,
potential
facilitating
decision
making
is
expanding.
Given
escalating
peril
climate
change
food
security,
there
exists
heightened
imperative
include
policy
formulation
decision-making
processes
practices.
might
be
beneficial
informing
development
effectively
integrate
sustainable
climate-smart
agriculture.
Journal of Technology Innovations and Energy,
Год журнала:
2023,
Номер
2(4), С. 1 - 26
Опубликована: Окт. 19, 2023
The
energy
industry
worldwide
is
today
confronted
with
several
challenges,
including
heightened
levels
of
consumption
and
inefficiency,
volatile
patterns
in
demand
supply,
a
dearth
crucial
data
necessary
for
effective
management.
Developing
countries
face
significant
challenges
due
to
the
widespread
occurrence
unauthorized
connections
electricity
grid,
resulting
substantial
amounts
unmeasured
unpaid
consumption.
Nevertheless,
implementation
artificial
intelligence
(AI)
machine
learning
(ML)
technologies
has
potential
improve
management,
efficiency,
sustainability.
Therefore,
this
study
aims
evaluate
influence
AI
ML
on
progress
industry.
present
employed
systematic
literature
review
methodology
examine
arising
from
frequent
power
outages
limited
accessibility
various
developing
nations.
results
indicate
that
possess
domains,
predictive
maintenance
turbines,
optimization
consumption,
management
grids,
prediction
prices,
assessment
efficiency
residential
buildings.
This
concluded
discussion
measures
enable
nations
harness
advantages
sector.
Journal of Environmental Science and Economics,
Год журнала:
2024,
Номер
3(1), С. 1 - 17
Опубликована: Янв. 1, 2024
Over
the
course
of
previous
three
decades,
Vietnam
has
seen
a
phase
economic
growth,
resulting
in
influx
foreign
direct
investment
(FDI).
However,
it
is
essential
to
note
that
there
was
an
extensive
rise
carbon
dioxide
(CO2)
emissions
throughout
this
period.
The
objective
research
analyze
impact
FDI
and
CO2
on
Vietnam's
utilizing
time
series
data
from
1990
2021.
stationarity
assessed
using
unit
root
tests,
while
autoregressive
distributed
lag
(ARDL)
procedure
utilized
examine
long-
short-run
associations
between
components.
Based
outcomes,
marginal
one
percent
both
associated
with
corresponding
long-term
gain
1.36
1.11
gross
domestic
product
(GDP).
Furthermore,
short
term,
these
increments
yield
increase
0.61
0.29
GDP.
conclusions
study
will
provide
valuable
insights
for
policymakers
crafting
policies
effectively
promote
sustainable
development.
Specifically,
would
aim
strike
balance
capital
growth
derived
investments
expansion,
concurrently
mitigating
emissions.
Natural Resources Conservation and Research,
Год журнала:
2023,
Номер
6(2), С. 3825 - 3825
Опубликована: Дек. 25, 2023
The
recent
progress
in
data
science,
along
with
the
transformation
digital
and
satellite
technology,
has
enhanced
capacity
for
artificial
intelligence
(AI)
applications
forestry
wildlife
domains.
Nevertheless,
swift
proliferation
of
developmental
projects,
agricultural,
urban
areas
pose
a
significant
threat
to
biodiversity
on
global
scale.
Hence,
integration
emerging
technologies
such
as
AI
fields
forests
might
facilitate
efficient
surveillance,
administration,
preservation
forest
resources.
objective
this
paper
is
present
comprehensive
review
how
machine
learning
(ML)
algorithms
are
utilized
sector
conservation
worldwide.
Furthermore,
research
examines
difficulties
encountered
while
implementing
technology
biodiversity.
Enhancing
availability
extensive
pertaining
biodiversity,
utilization
cloud
computing
can
wider
acceptance
implementation
technology.
findings
study
would
inspire
officials,
scientists,
researchers,
conservationists
investigate
potential
purposes
management
conservation.
Abstract
Agriculture
is
one
of
the
major
sources
global
emissions
that
cause
climate
change
while
agricultural
value
added
helps
to
boost
economy
in
developing
countries
like
China.
Therefore,
this
study
aims
investigate
long-
and
short-term
influences
added,
economic
growth
(GDP),
energy
use
on
carbon
dioxide
(CO
2
)
The
autoregressive
distributed
lag
(ARDL)
method
was
used
by
using
annual
time
series
data
from
1990
2021.
empirical
outcomes
revealed
a
1%
increase
would
cut
CO
1.37%
long-run
0.65%
short-run.
However,
found
both
GDP
consumption
have
positive
statistically
significant
effect
emissions.
Furthermore,
an
inverted
U-shaped
association
between
environmental
pollution
discovered
spotting
coefficient
negative
squared,
which
proved
validity
Kuznets
curve
(EKC)
hypothesis.
robustness
ARDL
verified
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
(DOLS),
canonical
cointegration
regression
(CCR)
approaches.
This
offers
comprehensive
set
policy
recommendations
aimed
at
enhancing
These
suggestions
focus
promotion
climate-smart
agriculture,
integration
renewable
production,
adoption
advanced
technologies
within
systems.
Implementing
these
measures
contribute
achievement
China’s
goal
neutrality.
Graphical
IOP Conference Series Earth and Environmental Science,
Год журнала:
2025,
Номер
1447(1), С. 012008 - 012008
Опубликована: Янв. 1, 2025
Abstract
Tengin
Baru
is
located
in
the
development
area
of
Indonesia
Capital
City
(
Ibu
Kota
Nusantara,
IKN
).
The
village
covers
a
small
part
mangrove
ecosystem
region
which
currently
utilised
for
other
uses
by
people.
In
order
to
implement
sustainable
approach
management,
involvement
locals
mapping
land
use
could
produce
more
aligned
with
latest
social
conditions
and
helps
identify
field
issues.
also
be
used
as
basis
planning
considering
its
strategic
important
situation
area.
objectives
study
were
cover
Village
results
showed
that
most
forest
covered
around
134.17
hectares
(2.2%
area)
at
southern
village.
was
dense
good
condition
one
species
Nypa
fruticans
)
harvested
making
roofs.
issues
regarding
included
Sepaku
Semoi
Dam
supply
water
masterplan
centre
tourism
economic
growth
region.
planned
protect
build
fishing
ponds
attraction.
Aquatic Conservation Marine and Freshwater Ecosystems,
Год журнала:
2025,
Номер
35(4)
Опубликована: Апрель 1, 2025
ABSTRACT
The
China's
Blue
Carbon
Plan
has
made
substantial
strides
since
its
inception
in
2014
and
garnered
positive
feedback
from
the
domestic
surgical
technology
sector
throughout
implementation.
This
initiative
plays
a
pivotal
role
goals
for
carbon
peak
neutrality.
paper
employs
data
Belt
Road
Initiative
62
Asia‐Pacific
countries
spanning
2005
to
2021
applies
PSM‐DID
method
empirically
assess
impact
of
on
emissions
countries.
results
show
that
(1)
can
promote
emission
reduction
per
capita
Asia
Pacific
region;
(2)
reduce
future
region,
but
policy
effect
shows
certain
weakening
trend;
(3)
national
through
four
pathways:
fishery
aquaculture
production,
fishing
trade
volume
ship
fuel
consumption.
These
provide
valuable
insights
into
effectiveness
blue
initiatives
underscore
potential
scaling
up
such
policies
achieve
broader
regional
global
targets.
Frontiers in Environmental Science,
Год журнала:
2023,
Номер
11
Опубликована: Окт. 30, 2023
Climate
change
has
become
a
major
challenge
in
recent
decades
as
result
of
rapid
economic
growth
due
to
increased
energy
use
and
rise
urbanization.
Environmental
damage
induced
by
use,
urbanization,
can
be
overcome
technological
advancement
good
governance.
This
study
examines
the
effect
innovations,
on
carbon
dioxide
emissions
Belt
Road
initiative
countries
from
2002
2022.
By
using
GMM
model,
results
show
that,
innovations
foreign
direct
investment
raise
however,
research
development
enhance
environmental
quality.
also
found
that
urbanization
nonlinear
relationship
with
emission
where
effective
governance
exert
moderating
role
this
association.
provides
important
policy
suggestions
for
BRI
countries.
