Transactions on Economics Business and Management Research,
Journal Year:
2024,
Volume and Issue:
5, P. 228 - 237
Published: March 31, 2024
Principal
Component
Analysis
(PCA)
is
applied
in
environmental
policy
planning
to
effectively
identify
and
assess
key
factors
affecting
carbon
peaking
emissions
reduction.
By
analysing
multidimensional
data
covering
GDP,
population,
average
temperature,
oil
consumption
price,
CO2
emissions,
PCA
reveals
complex
correlations
of
challenges.
Preliminary
regression
analyses
expose
relationships
between
variables,
with
a
particular
focus
on
anomalous
for
2020,
emphasising
the
importance
precise
analytical
methods.The
highlights
significant
impacts
economic
activity,
population
oil-related
indicators
by
simplifying
high-dimensional
data,
retaining
information,
extracting
principal
components
highest
variance.The
KMO
Bartlett
test
confirms
applicability
PCA,
variance
interpretation
dendrograms
guiding
component
selection
ensure
adequate
retention
information.
This
approach
enabled
identification
indicators,
construction
weighted
composite
model
quantitatively
analyse
yearly
basis,
strengthened
understanding
overall
role
activities
environment.
Overall,
application
its
refining
clarifying
drivers
energy
consumption,
development
targeted
policies,
enriching
toolkit
demonstrating
contribution
statistical
techniques
governance.
Kuwait Journal of Science,
Journal Year:
2023,
Volume and Issue:
51(1), P. 100150 - 100150
Published: Nov. 19, 2023
This
study
sought
to
asses
drinking
and
irrigation
water
quality
in
the
Dera
Ismail
(DI)
Khan
District,
Pakistan
with
aid
of
using
index
(WQI)
indices
(IWQI).
Seventy
two
samples
were
collected
from
various
sources
such
as
tube
wells,
dug
hand
pumps,
streams,
springs
throughout
DI
district.
The
investigated
physicochemical
parameters
include
pH,
TDS,
EC,
turbidity,
total
hardness,
major
cations
(Na,
K,
Ca,
Mg),
anions
(Cl,
HCO3,
SO4),
heavy
metals
(Fe,
Mo,
Cr,
Ni,
Cu,
Zn).
IWQI
used
includes
Kelly's
ratio
(KR),
permeability
(PI),
sodium
percent
(Na%),
Magnesium
Hazard
(MH),
potential
salinity
(PS),
residual
carbonate
(RSC),
adsorption
(SAR).
With
mean
value
63,
WQI
revealed
that
most
are
placed
good
category,
a
smaller
fraction
excellent
poor
classes.
On
other
hand,
health
risk
assessment
data
pointed
out
molybdenum
(Mo)
chromium
(Cr)
concentrations
could
pose
risks
children
concerned
population.
Rock
weathering
appears
be
dominant
hydro-geochemical
pathway
controlling
chemistry,
Ca–Mg–HCO3
being
facies,
followed
by
Na–HCO3.
(SAR),
(RSC)
had
values
higher
than
recommended
threshold.
use
for
agricultural
fields
may
raise
relevant
ecological
concerns
studied
