Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
166, P. 112341 - 112341
Published: July 9, 2024
As
an
important
indicator
of
water
pollution,
heavy
metals
in
lake
sediments
can
reflect
the
severity
pollution
entire
study
area.
Although
risk
assessment
sediment
from
various
lakes
has
been
widely
studied,
there
is
a
lack
understanding
on
overall
Inner
Mongolia
located
cold
and
arid
regions.
This
based
data
2019
to
2023
(Cu,
Zn,
Pb,
Cr,
Cd)
typical
Mongolia,
combining
toxicity,
ground
accumulation
index,
potential
ecological
risks
with
Monte
Carlo
simulation
evaluate
lakes.
Furthermore,
origins
were
quantitatively
analyzed
using
qualitative
analysis
absolute
principal
component
core–multiple
linear
regression
model.
presented
following
results.
Firstly,
according
toxicity
coefficient,
Cd
Cr
identified
as
most
hazardous
toxic
elements
Mongolia.
Secondly,
degree
followed
light
gradient,
central
>
eastern
western.
The
western
primarily
originated
natural
factors,
whereas
mainly
affected
by
pollutants
industry,
agriculture,
human
activities.
Eastern
experienced
animal
husbandry
activities
factors.
comprehensive
this
serve
valuable
reference
for
restoration
polluted
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(1), P. 10002 - 10002
Published: Jan. 1, 2024
This
article
presents
the
opportunities
for
constructing
a
global
data
base
picturing
underlying
trends
that
drive
climate
change.
Energy-related
CO2
emissions
currently
represent
key
impact
on
change
and
thus
become
here
object
of
deep,
long-term
historiographic
analysis.
In
order
to
embrace
all
involved
domains
technology,
energy
economy,
fuel
shares,
economic
efficacity,
structure
population,
"Global
Change
Data
Base"
(GCDB)
is
suggested,
based
earlier
worldwide
accepted
repositories.
Such
GCDB
works
through
regressions
statistical
analysis
time
series
(on
extensive
magnitudes
such
as
demand,
population
or
Gross
Domestic
Product,
GDP)
well
generation
derived
quotients
former,
yielding
intensive
describe
systems
their
structural
properties.
Moreover,
sets
out
compute
first
second
derivatives
said
(and
percentual
shares)
which
indicate
new
developments
already
at
very
early
phases.
The
invitation
participate
in
this
foresight
endeavour
extended
readers.
First
preliminary
results
quantitatively
portray
evolutionary
dynamics
growth,
sectoral
shifts,
shifts
within
carriers
various
sectors,
ongoing
improvements
intensity
efficiency
many
changes
agricultural
production
consumption
systems.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
361, P. 121220 - 121220
Published: May 27, 2024
On
the
one
hand,
economies,
particularly
developing
ones,
need
to
grow.
other
climate
change
is
most
pressing
issue
globally,
and
nations
should
take
necessary
measures.
Such
a
complex
task
requires
new
theoretical
empirical
models
capture
this
complexity
provide
insights.
Our
study
uses
newly
developed
framework
that
involves
renewable
energy
consumption
(REC)
total
factor
productivity
(TFP)
alongside
traditional
factors
of
CO2
emissions.
It
provides
policymakers
with
border
information
compared
models,
such
as
Environmental
Kuznets
Curve
(EKC),
being
limited
income
population.
Advanced
panel
time
series
methods
are
also
employed,
addressing
data
issues
while
producing
not
only
pooled
but
country-specific
results.
20
Renewable
Energy
Country
Attractiveness
Index
(RECAI)
considered
in
study.
The
results
show
REC,
TFP,
exports
reduce
emissions
elasticities
0.3,
0.4,
respectively.
Oppositely,
imports
increase
0.8
0.3.
Additionally,
we
RECAI
countries
commonly
affected
by
global
regional
factors.
Moreover,
find
shocks
can
create
permanent
changes
levels
temporary
their
growth
rates.
main
policy
implication
findings
authorities
implement
measures
boosting
TFP
REC.
These
driven
mainly
technological
progress,
innovation,
efficiency
gains.
Thus,
they
simultaneously
promoting
long-run
green
economic
growth,
which
addresses
mentioned
above
some
extent.
