International Journal of Environmental Research and Public Health,
Journal Year:
2023,
Volume and Issue:
20(2), P. 1183 - 1183
Published: Jan. 9, 2023
Fine
particulate
matter
(PM2.5)
pollution
brings
great
negative
impacts
to
human
health
and
social
development.
From
the
perspective
of
heterogeneity
combination
national
urban
analysis,
this
study
aims
investigate
variation
patterns
PM2.5
its
determinants,
using
geographically
temporally
weighted
regression
(GTWR)
in
273
Chinese
cities
from
2015
2019.
A
comprehensive
analytical
framework
was
established,
composed
14
determinants
multi-dimensions,
including
population,
economic
development,
technology,
natural
conditions.
The
results
indicated
that:
(1)
most
severe
winter
least
summer,
while
monthly,
daily,
hourly
variations
showed
"U"-shaped,
pulse-shaped
"W"-shaped
patterns;
(2)
Coastal
southeast
China
have
better
air
quality
than
other
cities,
interaction
between
enhanced
spatial
disequilibrium
pollution;
(3)
significant
on
pollution-specifically,
population
density,
trade
openness,
secondary
industry,
invention
patents
exhibited
strongest
positive
North
Plain.
Relative
humidity,
precipitation
per
capita
GDP
were
more
effective
improving
atmospheric
with
serious
pollution.
Altitude
proportion
built-up
areas
strong
effects
western
China.
These
findings
will
be
conductive
formulating
targeted
differentiated
prevention
strategies
for
regional
control.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
140, P. 109044 - 109044
Published: June 11, 2022
Enhancing
the
environmental
collaborative
governance
to
reduce
carbon
dioxide
(CO2)
and
particulate
matter
(PM2.5)
emissions
is
an
important
significant
low-carbon
green
growth
strategy
in
China.
However,
few
studies
have
explored
periodical
positive
negative
impact
changes
of
drivers
interannual
phases
on
both
CO2
PM2.5
hitherto.
With
panel
data
Yangtze
River
Delta
urban
agglomeration
(YRDUA)
from
2005
2017,
here
we
analyzed
annual
evolution
characters
10
socioeconomic
these
emissions.
The
spatial
Durbin
error
model
(SDEM)
by
overall
was
developed
examine
that
can
synergistically
affect
Moreover,
SDEM
phased
employed
observe
drivers.
results
reveal
that,
significantly
realize
are
normalized
difference
vegetation
index
(NDVI),
energy
intensity
(EI),
fixed
asset
investment
(FAI).
Main
include:
Every
1%
increase
NDVI
0.276%
concentration
0.223%;
every
EI
0.024%
0.003%;
FAI
0.049%
0.018%.
Increased
greening
levels,
reduced
intensity,
assets
alleviate
YRD.
Furthermore,
estimation
shows
after
2013,
economic
weakens
gradually.
Similarly,
technological
upgrading
begins
diminish,
rise
urbanization
still
increases
emissions,
pollution
2013.
traffic
loads
lead
its
effect
gradually
enhanced
later
stage.
In
addition,
aggravates
as
well.
Therefore,
this
study
suggests
should
focus
reforming
clean
structure;
accelerating
transformation
industrial
promoting
system,
lifestyle.
International Journal of Digital Earth,
Journal Year:
2023,
Volume and Issue:
16(1), P. 3417 - 3434
Published: Aug. 30, 2023
Urban
landscape
forms
can
be
effective
in
reducing
increasing
PM2.5
concentrations
due
to
urbanization
China,
making
it
crucially
important
accurately
quantify
the
spatiotemporal
impact
of
urban
on
variations.
Three
indices
and
six
control
variables
were
selected
assess
these
impacts
362
Chinese
cities
during
different
time
scales
from
2001
2020,
using
a
geographically
weighted
regression
model,
random
forest
models
partial
dependence
plots.
The
results
show
that
there
are
differences
PM2.5.
proportion
green
infrastructure
(PLAND-UGI)
fractal
dimension
(FRACT-UGI)
exacerbate
northwest,
impervious
surfaces
(PLAND-Impervious)
mitigates
air
pollution
northwest
southwest
shannon's
diversity
index
(SHDI)
has
seasonal
northwest.
PLAND-UGI
is
with
largest
contribution
(30%)
interpretable
range.
relationship
between
FRACT
was
more
complex
than
for
other
indices.
this
study
contribute
deeper
understanding
spatial
temporal
patterns
PM2.5,
contributing
clean
development
sustainable
development.
