International Journal of Hydrogen Energy,
Journal Year:
2024,
Volume and Issue:
67, P. 458 - 486
Published: April 22, 2024
Promoting
green
hydrogen
has
emerged
as
a
pivotal
discourse
in
the
contemporary
energy
landscape,
driven
by
pressing
environmental
concerns
and
quest
for
sustainable
solutions.
This
paper
delves
into
multifaceted
domain
of
C-Suite
issues
about
hydrogen,
encompassing
both
technological
advancements
policy
considerations.
The
question
whether
is
poised
to
become
focal
point
upcoming
race
explored
through
an
extensive
analysis
its
potential
clean
versatile
carrier.
transition
from
conventional
fossil
fuels
considered
fundamental
shift
paradigms,
with
far-reaching
implications
global
markets.
provides
comprehensive
overview
state-of-the-art
technologies,
including
fuel
cells,
photocatalysts,
photo
electrocatalysts,
panels.
In
tandem
advancements,
role
strategy
fostering
development
assumes
paramount
significance.
elucidates
critical
interplay
between
government
policies,
market
dynamics,
corporate
strategies
shaping
landscape.
It
mechanisms
such
subsidies,
carbon
pricing,
renewable
mandates,
shedding
light
on
their
incentivize
production
adoption
hydrogen.
offers
nuanced
exploration
surrounding
painting
picture
considerations
that
underpin
emergence
transformative
source.
As
community
grapples
imperatives
climate
change
mitigation
pursuit
solutions,
understanding
these
becomes
imperative
executives,
policymakers,
stakeholders
alike.
Case Studies in Construction Materials,
Journal Year:
2024,
Volume and Issue:
20, P. e03130 - e03130
Published: April 4, 2024
Ordinary
Portland
cement
(OPC)
is
proving
to
be
hazardous
the
environment.
To
replace
OPC,
geopolymers
(GPs)
are
introduced.
However,
fully
OPC
by
GPs
extensive
laboratory
tests
required
assess
long-term
and
short-term
properties
of
in
different
scenarios.
Given
shortage
time
for
performing
such
testing,
artificial
intelligence
(AI)
used
analyze
GPs.
In
this
study,
AI
techniques
as
neuro
network
(ANN),
adaptive
neuro-fuzzy
inference
system
(ANFIS),
gene
expression
programming
(GEP)
obtain
predictive
models
estimating
compressive
strength
fly
ash
ground
granulated
blast
furnace
slag-based
GP
concrete.
Different
statistical
parameters
evaluate
performance
models.
Similarly,
sensitivity
parametric
analysis
also
conducted
on
input
parameters.
Additionally,
multiple
linear
regression
was
performed
whole
database.
After
comparing
all
results,
it
concluded
that
GEP
best
technique
predict
GP-based
Natural Resources Forum,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 30, 2024
Abstract
The
aim
of
this
study
was
to
embark
on
a
transformative
exploration
the
interplay
between
technological
innovation,
renewable
energy,
economic
development,
and
carbon
emissions
in
BRICS
nations,
unveiling
novel
insights
that
redefine
sustainability
paradigms
contribute
global
environmental
policymaking.
This
comprehensive
spans
years
1990–2022,
meticulously
examining
dynamics
indicators,
energy
consumption,
generation,
progress.
dataset's
non‐normal
distribution
prompts
use
moment
quantile
regression,
providing
nuanced
with
consideration
for
diverse
slopes
cross‐sectional
dependencies.
Validation
through
“Dumitrescu‐Hurlin
panel
Causality
Test”
refines
findings,
revealing
diminishing
impact
innovation
across
quantiles.
illuminates
compelling
connection:
heightened
correlates
strongly
reduced
emissions,
particularly
evident
at
lower
aligns
seamlessly
existing
research,
emphasizing
technology's
potential
sustainability.
Conversely,
concerning
positive
association
emerges
utilization
highlighting
persistent
challenge
posed
by
escalating
use.
Urgent
strategic
interventions
are
underscored
address
ecological
consequences
associated
rising
consumption.
intricate
relationship
electricity
production
unfolds,
renewables'
pivotal
role
mitigating
impact.
ongoing
discussions
regarding
their
indispensable
contribution
sustainable
development.
underscores
importance
prioritizing
power
initiatives.
However,
disconcerting
surfaces
development
all
quantiles,
costs
accompanying
growth
nations.
As
advances,
escalate,
presenting
substantial
challenges
imperative
balance
progress
conservation
efforts.
enriches
discourse
fostering
within
nations
beyond,
marking
significant
stride
toward
more
environmentally
conscious
future.
Transactions in GIS,
Journal Year:
2024,
Volume and Issue:
28(7), P. 2526 - 2544
Published: Sept. 22, 2024
ABSTRACT
In
this
era
of
rapid
development,
environmental
quality
is
an
essential
aspect
sustainable
development.
A
healthy
urban
environment
supports,
regulates,
and
provides
livable
conditions.
areas,
considerably
affected
by
socioeconomic
factors
such
as
population
expansion
economic
For
decision‐making,
it
also
significant
for
stakeholders
policymakers
to
understand
the
impact
on
quality.
While
previous
studies
have
examined
quality,
they
often
focused
single
cities
or
limited
parameters.
This
research
addresses
these
limitations
conducting
a
comparative
analysis
two
major
Asian
with
similar
demographic
features,
utilizing
comprehensive
set
variables.
Our
innovative
approach
combines
open‐source
datasets
advanced
remote
sensing
techniques
provide
more
holistic
assessment
over
decades.
We
analyzed
last
decades
selected
parameters:
surface
greenness,
moisture,
land
temperature.
Lahore
(Pakistan)
Wuhan
(China)
were
having
approximately
same
features.
Correlation
matrix
has
been
used
assess
relationship
between
variables
social‐economic
variables:
carbon
emission.
coefficient
indicated
that
correlates
negatively
greenness
moisture
both
(−0.67
−0.71)
District
(−0.5
−0.75),
respectively,
while
had
positive
relation
temperature:
0.65
0.57
District,
respectively.
These
effects
are
prominent
within
10
km
distance
from
city
center,
where
substantial
observed
during
time
window.
