E3S Web of Conferences,
Год журнала:
2024,
Номер
581, С. 01014 - 01014
Опубликована: Янв. 1, 2024
Coastal
cities
worldwide
face
increasing
threats
from
climate
change,
including
rising
sea
levels,
extreme
weather
events,
and
flooding.
Enhancing
the
resilience
of
these
is
critical
to
mitigating
impacts
on
infrastructure,
ecosystems,
human
populations.
Geographic
Information
Systems
(GIS)
offer
powerful
tools
for
analyzing
vulnerabilities
guiding
adaptation
strategies.
This
paper
investigates
coastal
using
GIS
techniques
assess
risks,
map
vulnerable
areas,
propose
measures.
By
combining
spatial
analysis
data,
we
evaluate
three
cities—Miami,
Mumbai,
Manila.
The
results
show
significant
variations
in
vulnerability
due
differences
geography,
urban
density,
socio-economic
factors.
We
provide
actionable
recommendations
improving
resilience,
zoning
reforms,
flood-resistant
community-based
adaptive
practices.
International Journal of Green Energy,
Год журнала:
2025,
Номер
unknown, С. 1 - 19
Опубликована: Янв. 6, 2025
Addressing
the
simultaneous
provision
of
electricity,
heat,
and
water
in
rural
areas
poses
a
significant
global
challenge.
This
study
optimizes
poly-generation
hybrid
energy
system
(HES)
integrating
diverse
sources
with
desalination,
tailored
for
warm
climates,
targeting
Sar
Goli
village
health
clinic
Khuzestan
province,
Iran.
Option
I,
51.2
kW
PV
10
wind
turbine
(WT),
is
most
cost-effective
choice
net
present
cost
(NPC)
$207,203
electricity
(COE)
$0.161/kWh.
In
contrast,
IV,
relying
primarily
on
490
WT
without
PV,
least
economically
advantageous
an
NPC
$1,012,129
COE
$0.789/kWh.
II
(PV-BLR-BT-CNV)
shows
highest
electrical
production
229,336
kWh/year
complete
reliance
renewables,
despite
higher
loss
power
supply
probability
(LPSP)
0.0006.
Higher
solar
irradiation
speeds
reduce
COE,
while
rising
diesel
prices
increase
economic
challenges,
emphasizing
need
strategic
planning.
Enhancing
boiler
efficiency
cuts
fuel
consumption
from
509
to
170
liters/year
CO2
emissions
1,018
340
kg/year.
Changes
battery's
minimum
state
charge
(SOCmin)
significantly
impact
HES
finances
reliability;
optimizing
SOCmin
minimizes
ensuring
stability.
Advanced Theory and Simulations,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 8, 2025
Abstract
Photovoltaic
(PV)
power
generation
is
vital
for
sustainable
energy
development,
yet
its
inherent
randomness
and
volatility
challenge
grid
stability.
Accurate
short‐term
PV
prediction
essential
reliable
operation.
This
paper
proposes
an
integrated
method
combining
dynamic
similar
selection
(DSS),
variational
mode
decomposition
(VMD),
bidirectional
gated
recurrent
unit
(BiGRU),
improved
sparrow
search
algorithm
(ISSA).
First,
DSS
selects
training
data
based
on
local
meteorological
similarity,
reducing
interference.
VMD
then
decomposes
into
smooth
components,
mitigating
volatility.
The
Pearson
correlation
coefficient
used
to
filter
highly
relevant
variables,
enhancing
input
quality.
BiGRU
captures
temporal
evolution
patterns,
with
ISSA
optimizing
key
parameters
robust
forecasting.
Validated
historical
Australian
under
diverse
weather
conditions,
the
proposed
effectively
reduces
volatility,
significantly
improving
accuracy
reliability.
These
advancements
support
stable
supply
efficient
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 3816 - 3816
Опубликована: Апрель 23, 2025
Rural
areas
face
increasing
threats
from
water-related
disasters
yet
often
lack
the
infrastructure
and
resources
available
in
urban
for
effective
disaster
response
recovery.
Understanding
improving
rural
resilience—the
ability
to
withstand
recover
disasters—is
critical
sustainable
development,
especially
under
pressures
climate.
This
study
introduces
a
practical,
indicator-based
framework
evaluate
resilience
by
analyzing
five
key
aspects:
stability,
hazards,
exposure,
vulnerability,
adaptability.
Using
Zhejiang
Province
China
as
case
study,
we
examined
changes
2000
2020.
Our
findings
reveal
that
regions
with
strong
economic
foundation,
diversified
livelihoods,
well-developed
healthcare
education
exhibit
higher
resilience,
while
those
high
exposure
hazards
dependency
on
agriculture
remain
vulnerable.
The
highlights
crucial
role
of
adaptive
capacity
driving
long-term
emphasizing
targeted
investments
healthcare,
education,
infrastructure,
diversification.
By
providing
data-driven
insights,
this
research
contributes
SDG
11
offering
practical
strategies
policymakers
local
communities
enhance
preparedness
sustainability.
Moreover,
developed
here
can
be
adapted
applied
other
facing
similar
globally,
enhancing
promoting
development.
