Transforming Regional Planning: An Optimization Approach for Sustainable Energy Balance in Targeted Areas
Published: Jan. 1, 2025
Language: Английский
Climate justice in land use planning: Exploring the potential and challenges of nature-based solutions integration in Nigeria
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
377, P. 124717 - 124717
Published: Feb. 27, 2025
Language: Английский
Comprehensive Review on Challenges of Integration of Renewable Energy Systems into Microgrid
Solar Energy and Sustainable Development,
Journal Year:
2025,
Volume and Issue:
14(1), P. 199 - 236
Published: March 4, 2025
The
integration
of
renewable
energy
systems
(RES)
into
microgrids
faces
challenges
from
technical,
economic,
and
socio-environmental
perspectives.
Despite
their
potential
to
address
access
climate
change
challenges,
RES-based
face
significant
barriers,
including
technical
complexities,
economic
constraints,
socio-cultural
resistance,
regulatory
inadequacies,
environmental
concerns.
Some
the
issues,
like
intermittency
lack
compatibility
with
other
sources,
are
managed
by
management
(EMS)
integrated
battery
systems.
These
barriers
include
high
capital
investment
unpredictable
revenue
which
addressable
through
chosen
microgrid
architecture,
flexible
payment
structures,
tariffs.
Community
opposition
local
knowledge
overcome
employing
mitigation
measures
that
pertain
partaking
in
planning
processes
developing
training
programs.
gaps
addressed
use
standardized
policy
as
well
streamlined
permitting
procedures,
while
issues
application
life
cycle
assessment
(LCA)-based
solutions
environmentally
sustainable
materials.
Furthermore,
paper
addresses
more
recent
developments,
artificial
intelligence
(AI),
peer-to-peer
(P2P)
trading,
an
emphasis
on
improvement
prospects.
Finally,
implications
presented,
stressing
need
for
systemic
observed
tendencies.
This
systematically
reviews
multifaceted
integrating
RES
microgrids.
It
presents
innovative
solutions,
AI-driven
management,
modular
designs,
frameworks
enhance
efficiency,
reliability,
sustainability
a
scalable
transition.
review
provides
diverse
view
future
growth
several
insights
stakeholders
related
development
technology
making
transition
sustainable.
Language: Английский
Land Use and Land Cover Change Dynamics in the Niger Delta Region of Nigeria from 1986 to 2024
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 765 - 765
Published: April 3, 2025
Land
Use
and
Cover
Change
(LULCCs)
shapes
catchment
dynamics
is
a
key
driver
of
hydrological
risks,
affecting
responses
as
vegetated
land
replaced
with
urban
developments
cultivated
land.
The
resultant
risks
are
likely
to
become
more
critical
in
the
future
climate
changes
becomes
increasingly
variable.
Understanding
effects
LULCC
vital
for
developing
management
strategies
reducing
adverse
on
cycle
environment.
This
study
examines
Niger
Delta
Region
(NDR)
Nigeria
from
1986
2024.
A
supervised
maximum
likelihood
classification
was
applied
Landsat
5
TM
8
OLI
images
1986,
2015,
Five
use
classes
were
classified:
Water
bodies,
Rainforest,
Built-up,
Agriculture,
Mangrove.
overall
accuracy
Kappa
coefficients
93%
0.90,
91%
0.87,
84%
0.79
2024,
respectively.
Between
built-up
agriculture
areas
substantially
increased
by
about
8229
6727
km2
(561%
79%),
respectively,
concomitant
decrease
mangrove
vegetation
14,350
10,844
(−54%
−42%),
spatial
distribution
across
NDR
states
varied,
Delta,
Bayelsa,
Cross
River,
Rivers
States
experiencing
highest
rainforest,
losses
64%,
55,
44%,
44%
(5711
km2,
3554
2250
1297
km2),
NDR’s
mangroves
evidently
under
serious
threat.
has
important
implications,
particularly
given
role
played
forests
regulating
hazards.
dramatic
rainforest
could
exacerbate
climate-related
impacts.
provides
quantitative
information
that
be
used
support
planning
practices
well
sustainable
development.
Language: Английский
Redefining planning: Emerging research specializations in Nigerian urban and regional planning
Progress in Planning,
Journal Year:
2025,
Volume and Issue:
197, P. 100968 - 100968
Published: April 6, 2025
Language: Английский
A comprehensive review of flood monitoring and evaluation in Nigeria
International Journal of Energy and Water Resources,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
Language: Английский
Assessing the impact of climate change on flood patterns in downstream Nigeria using machine learning and geospatial techniques (2018-2024)
Desmond Rowland Eteh,
No information about this author
Bunakiye R. Japheth,
No information about this author
Charles Ugochukwu Akajiaku
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
Climate
change
has
increased
flood
risks
in
downstream
Nigeria,
driven
by
altered
hydrology,
dam
operations,
and
land-use
changes
threatening
infrastructure,
livelihoods,
ecosystem
stability
with
growing
frequency
severity.
This
study
analyzes
patterns,
identifies
key
environmental
drivers,
predicts
flood-prone
areas
through
an
integrated
machine
learning
geospatial
analysis
approach.
Data
sources
included
Synthetic
Aperture
Radar
(SAR)
imagery
from
Sentinel-1,
rainfall
measurements,
Shuttle
Topography
Mission
(SRTM)
elevation
data,
surface
water
level
records.
Machine
models
Random
Forest
(RF),
Support
Vector
(SVM),
Artificial
Neural
Network
(ANN)
were
applied
using
tools
such
as
Google
Earth
Engine
ArcGIS
10.5
to
assess
dynamics
2018
2024.
Downstream
regions
(elevation:
78–235.1
m)
exhibited
greater
susceptibility
than
upstream
(up
1399.43
m).
Flood
extents
rose
10.9%
August
(from
2441.91
km²
2707.75
2024)
39.8%
October
3083.44
4311.55
km²).
The
RF
model
achieved
the
highest
accuracy
(92%),
outperforming
SVM
(88%)
ANN
(85%).
Inundated
20–35%
of
zones.
Rainfall
intensity
15–20%,
annual
totals
exceeding
4311
mm
some
areas.
cover
declined
further
exacerbating
risks.
findings
demonstrate
that
climate
change,
alteration,
operations
are
major
contributors
flooding.
Mitigation
strategies
include
10–15%
reforestation,
embankment
construction,
learning–driven
early
warning
systems,
which
can
reduce
damage
up
30%.
These
approaches
support
sustainable
risk
management
Nigeria.
Language: Английский
Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery
Journal of Spatial Science,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 23
Published: July 18, 2024
Monitoring
and
providing
accurate
land
use
cover
(LULC)
change
information
is
vital
for
sustainable
environmental
planning.
This
study
used
Landsat
imagery
from
2002
to
2022
create
updated
LULC
maps
the
eThekwini
Municipality.
Random
Forest
(RF),
Support
Vector
Machine
(SVM),
Extreme
Gradient
Boosting
(XGBoost)
were
conduct
these
classifications,
with
XGBoost
achieving
highest
accuracy
(80.57%).
The
generated
revealed
a
significant
decrease
in
cropland
an
increase
impervious
surfaces.
As
such,
this
research
established
framework
continuous
mapping
highlighted
9's
potential
classifications.
Language: Английский
Land use management solutions in response to climate change: Case study in the central coastal areas of Vietnam
Open Agriculture,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
Vietnam
is
highly
susceptible
to
climate
change,
which
has
significantly
affected
its
agricultural
production.
Therefore,
sustainable
land
use
that
adapts
change
a
crucial
research
topic.
This
study
was
conducted
in
Loc
Ha
district,
Tinh
province
central
Vietnam,
an
area
particularly
vulnerable
change.
The
results
indicate
increasing
trend
temperature
and
rainfall,
with
flooding
being
the
primary
impact
of
on
agriculture,
while
drought
moderate
impact.
assessed
suitability
district
facilitate
planning
line
conditions
until
2035.
analysis
reveals
12
soil
types
across
8
groups,
divided
into
55
units
varying
characteristics.
Adapting
management
situation
effective
solution
for
development
future.
Language: Английский
What Drives Herbal Traditions? The Influence of Ecology and Cultural Exchanges on Wild Plant Teas in the Balkan Mountains
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2146 - 2146
Published: Dec. 10, 2024
This
study
investigates
the
ethnobotanical
diversity
of
wild
plant
teas
across
various
populations
in
Balkan
mountain
regions,
focusing
on
cultural
and
ecological
influences.
Data
were
collected
through
field
surveys
conducted
thirteen
distinct
areas,
encompassing
approximately
900
interviews
with
local
populations,
including
Albanians,
Bosniaks,
North
Macedonians,
Goranis,
Serbs.
The
identifies
143
genera
used
traditional
teas,
species
frequency
distribution
patterns
analysed
concerning
elevation
factors.
Statistical
analyses
using
Principal
Component
Analysis
(PCA)
Cluster
revealed
clear
grouping
between
based
zones.
results
show
a
correlation
altitude
herbal
use
genera,
higher
elevations
(above
700
m)
supporting
greater
variety
species.
Cultural
practices,
such
as
tea
consumption
during
communal
gatherings,
also
significantly
shaped
selection
plants
different
populations.
For
instance,
Sideritis
most
prevalent
among
Albanian
Macedonian
communities,
while
Thymus
Mentha
widely
all
groups.
Moreover,
exchanges
can
explain
similarity
reported
by
Bosniaks
(in
Bosnia)
located
far
away
from
each
other
but
showing
similar
traits
due
to
possible
common
origins
or
effect
centuries
pastoralism,
which
may
have
generated
constant
exchange
practices.
concludes
that
conditions
influence
choice,
use,
resilience
traditions
Balkans.
However,
modern
pressures
urbanisation
market-driven
are
increasingly
threatening
these
highlights
need
for
conservation
strategies
integrate
preservation
heritage
safeguarding.
Language: Английский