Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2023(6), P. 11 - 16
Published: Dec. 30, 2023
A
significant
factor
influencing
climate
change
is
the
release
of
carbon
dioxide
(CO2)
into
atmosphere
as
a
consequence
human
activities
such
combustion
fossil
fuels.
Climate
can
be
slowed
down
by
taking
action
to
mitigate
industrial-scale
CO2
emissions.
Currently,
most
advanced
technology
for
capturing
from
industrial
flue
gases
post-combustion
capture
based
on
amine
absorption.
However,
due
high
energy
penalties
existing
technologies
and
insufficient
markets,
it
necessary
develop
methods
that
compete
with
these
or
minimize
their
use.
In
this
work,
absorption
process
analyzed
in
using
modelling
simulation
methodology.
Based
outcomes
simulation,
demonstrates
noteworthy
efficiency
90%,
yielding
high-purity
output
exceeding
98%.
A
high-resolution
carbon
dioxide
emission
inventory
is
essential
for
accurate
assessment
and
management.
This
study
used
a
top-down
spatial
proxy
model
to
develop
(1
km)
East
Asia
from
2012
2021.
Combining
multiple
data
sources
with
geographically
weighted
regressions
can
improve
the
accuracy
of
distribution
sectors
within
inventories.
To
demonstrate
accuracy,
we
compared
our
existing
inventories,
such
as
Multi-resolution
Emission
Inventory
China,
which
uses
'bottom-up'
approach.
We
outline
discuss
convergence
divergence
in
estimation
results
different
approaches,
finding
generally
consistent
results.
Based
on
grid,
nationally,
China
accounted
over
80%
Asia's
emissions,
followed
by
Japan
South
Korea.
The
hotspot
driver
analyses
reveal
persistent
hotspots
Northern
Eastern
well
new
trends
Northwestern
China.
main
drivers
emissions
growth
are
economic
changes
energy
mix.
cold
regions
vary
depending
regional
characteristics.
Actionable
insights
provided
targeted
reduction
strategies.
Continued
occurred
across
period
2012-2021,
emerged
Northwest
according
Asia.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(24), P. 5778 - 5778
Published: Dec. 18, 2023
Continuously
global
warming
and
landscape
change
have
aggravated
the
damage
of
flood
disasters
to
ecological
safety
sustainable
development.
If
risk
under
climate
land-use
changes
can
be
predicted
evaluated,
it
will
conducive
control,
disaster
reduction,
This
study
uses
bias
correction
spatial
downscaling
(BCSD),
patch-generating
simulation
(PLUS)
coupled
with
multi-objective
optimization
(MOP),
entropy
weighting
construct
a
1
km
resolution
assessment
framework
for
Guanzhong
Plain
multiple
future
scenarios.
The
results
this
show
that
BCSD
process
6th
Climate
Model
Intercomparison
Project
(CMIP6)
data
well,
correlation
coefficient
up
0.98,
Kappa
is
0.85.
Under
SSP126
scenario,
in
land
use
from
cultivated
forest
land,
urban
water
bodies
remained
unchanged.
In
2030,
proportion
high-risk
medium-risk
41.5%
43.5%
respectively.
From
2030
2040,
largest
areas
were
medium-
areas.
area
decreased
by
1256.448
km2
(6.4%),
increased
1197.552
(6.1%).
increase
mainly
came
transition
area.
most
significant
2040
2050
higher-risk
area,
which
337
(5.7%),
while
726.384
(3.7%)
667.488
(3.4%),
SSP245
other
use;
distribution
overall
scenarios
are
similar.
central
western
regions
prone
floods,
high-wind
distributed
along
Weihe
River.
general,
increases,
research
guiding
significance
control
plain
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 95 - 95
Published: Jan. 6, 2025
Climate
issues
significantly
impact
people’s
lives,
prompting
governments
worldwide
to
implement
energy-saving
and
emission-reducing
measures.
However,
many
areas
lack
carbon
emission
data
at
the
lower
administrative
divisions.
Additionally,
inconsistency
in
standards,
scope,
accuracy
of
dioxide
statistics
across
different
regions
makes
mapping
spatial
patterns
complex.
Nighttime
light
(NTL)
combined
with
land
use
enable
detailed
temporal
disaggregation
a
finer
level,
facilitating
scientifically
informed
policy
formulation
by
government.
Differentiating
sector
will
help
us
further
identify
efficiency
sectors
environmental
regulators
most
cost-effective
emission-reduction
strategy.
This
study
uses
integrated
remote-sensing
estimate
emissions
from
fossil
fuels
(CEFs).
Experimental
results
indicate
(1)
that
regional
CEF
can
be
calculated
combining
NTL
Landuse
has
good
fit;
(2)
high-intensity
area
is
mainly
concentrated
Shanghai
its
surrounding
areas,
showing
concentric
circle
structure;
(3)
there
are
obvious
differences
distribution
characteristics
among
departments;
(4)
hot
spot
analysis
reveals
three-tiered
Yangtze
River
Delta,
increasing
west
east
distinct
characteristics.
