Air
pollution
greatly
impacts
economic
development
and
is
of
common
concern
to
all
sectors
society.
However,
the
discussion
on
interrelationships
between
air
pollutants
effect
socio-economic
indicators
remain
lacking.
This
study
systematically
analyzes
spatiotemporal
characteristics
drivers
four
major
based
a
panel
data
199
districts
counties
in
Beijing–Tianjin–Hebei
region
from
2013
2020.
The
results
showed
that
concentrations
PM2.5,
PM10
NO₂
decreased
by
48.87%,
48.54%
29.33%,
whereas
O₃
increased
24.78%,
making
it
concern.
Moreover,
demonstrated
an
overall
positive
spatial
correlation.
Among
factors,
GDP
per
capita
total
social
retail
goods
mitigated
pollution,
secondary
industry
was
biggest
cause
pollutant
concentrations.
increase
electricity
consumption
unit
alleviated
south-central
Beijing–Tianjin–Hebei.
Furthermore,
ecological
conservation
areas
represented
Zhangjiakou
Chengde
tended
exacerbate
as
level
increased.
study's
comprehensive
analysis
provides
theoretical
support
for
targeted
control
measures
policies
sustainable
different
regions.
Atmosphere,
Journal Year:
2023,
Volume and Issue:
14(5), P. 903 - 903
Published: May 22, 2023
The
escalating
issue
of
air
pollution
in
China’s
rapidly
developing
urban
areas
has
prompted
increased
attention
to
the
role
meteorological
conditions
PM2.5
pollution.
This
study
examines
spatiotemporal
distribution
concentrations
and
their
relationship
with
factors
six
major
Chinese
agglomerations
from
2017
2020,
using
daily
average
data.
Statistical
spatial
analysis
techniques
are
employed,
alongside
construction
eight
machine
learning
models
for
prediction
purposes.
also
compares
feature
importance
various
impacting
concentrations.
Results
reveal
significant
regional
differences
both
levels
influences.
Multilayer
Perceptron
(MLP)
model
demonstrates
highest
accuracy
According
MLP
model’s
identification,
temperature
is
most
factor
affecting
across
all
agglomerations,
while
wind
speed
precipitation
have
least
impact.
Contributions
pressure
dew
point
temperature,
however,
vary
among
different
agglomerations.
research
considers
impact
on
offers
valuable
artificial
intelligence-based
insights
into
key
influencing
diverse
regions,
thereby
informing
development
effective
control
policies.
Environment International,
Journal Year:
2024,
Volume and Issue:
190, P. 108793 - 108793
Published: June 3, 2024
Under
international
advocacy
for
a
low-carbon
and
healthy
lifestyle,
ambient
PM2.5
pollution
poses
dilemma
urban
residents
who
wish
to
engage
in
outdoor
exercise
adopt
active
commuting.
In
this
study,
an
Urban
Air
Health
Navigation
System
(UAHNS)
was
designed
proposed
assist
users
by
recommending
routes
with
the
least
exposure
dynamically
issuing
early
risk
warnings
based
on
topologized
digital
maps,
application
programming
interface
(API),
eXtreme
Gradient
Boosting
(XGBoost)
model,
two-step
spatial
interpolation.
A
test
of
UAHNS's
functions
applications
carried
out
Wuhan
city.
The
results
showed
that,
compared
trained
random
forest
(RF),
LightGBM,
Adaboost
models,
etc.,
XGBoost
model
performed
better,
R
Hydrological Sciences Journal,
Journal Year:
2024,
Volume and Issue:
69(13), P. 1750 - 1764
Published: July 30, 2024
Soil
erosion
and
sediment
yield
in
basins
are
influenced
by
a
combination
of
land
use/land
cover
changes
climatic
factors.
The
existing
empirical
index
(SYI)
model
does
not
consider
the
spatiotemporal
non-stationarity
parameters
its
application
is
limited
data-deficient
basins.
To
address
these
issues,
novel
framework
was
proposed
to
extend
SYI
model,
identify
heterogeneity
driving
factors
using
geographically
temporally
weighted
regression
(GTWR)
it
demonstrated
Dongjiang
River
basin,
South
China.
constructed
multi-factor
GTWR
explains
87%
variation
SYI.
Spatially,
population
density
urban
main
SYI,
there
significant
spatial
differences
their
effects.
Temporally,
most
factor
for
effect
increased
over
time.
Ultrafine
particles
(UFPs)
pose
a
significant
health
risk,
making
comprehensive
assessment
essential.
The
influence
of
emission
sources
on
particle
concentrations
is
not
only
constrained
by
meteorological
conditions
but
often
intertwined
with
them,
it
challenging
to
separate
these
effects.
This
study
utilized
valuable
long-term
number
and
size
distribution
(PNSD)
data
from
2018
2023
develop
tree-based
machine
learning
model
enhanced
an
interpretable
component,
incorporating
temporal
markers
characterize
background
or
time
series
residuals.
Our
results
demonstrated
that,
differing
PM
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 16, 2023
Abstract
Context
Landscape
heterogeneity
is
closely
related
to
the
spatial
differentiation
characteristics
of
PM
2.5
concentration
in
urbanized
areas.
Exploring
changing
coordination
landscape
evolution
and
change
provides
robust
support
for
mitigating
urban
pollution.
Previous
studies
mainly
focused
on
a
single
specific
area,
lacking
quantitative
comparison
multiple
changes
different
types
cities.
Objectives
This
study
aims
quantify
how
landscapes
could
affect
compare
whether
what
kind
differences
exist
among
such
effects
across
various
regions.
Methods
Taking
two
typical
inland
waterfront
cities
China
as
examples,
this
uses
exploratory
data
analysis
coupling
models
analyze
distribution
its
coordinated
with
(i.e.,
green,
blue,
gray),
townships
basic
unit.
Results
The
concentrations
Hohhot
Tianjin
have
evident
concentration.
Moreover,
green
regions
show
opposite
trends
owing
effect
natural
background.
other
can
increase
concentration,
maximum
2.04
µg/m
3
.
However,
may
inhibit
,
particularly
blue
dominant,
strong
area.
Conclusions
By
comparing
caused
by
evolutions,
managers
take
differentiated
measures
tailored
local
conditions
provide
information
planning
strategies
air
IETI Transactions on Data Analysis and Forecasting (iTDAF),
Journal Year:
2023,
Volume and Issue:
1(4), P. 68 - 78
Published: Dec. 21, 2023
Considering
the
influence
of
baseline
values,
meteorological
conditions,
and
human
activities
on
PM2.5,
quantifying
them
will
facilitate
classification,
control,
management
pollution.
The
machine
learning
model
explained
PM2.5-meteorological
nonlinear
relationship
between
PM2.5
factors
in
each
city
across
Yangtze
River
Economic
Belt,
China.
Meteorological
resource
endowments
(MRE)
are
used
to
quantify
variation
concentration
caused
by
conditions.
Contamination
(CB)
is
characterize
lowest
limit
anthropogenic
impact
contamination
without
interference.
According
values
MRE
CB,
cities
economic
belt
can
be
divided
into
four
categories
(Q1-4).
average
value
−0.41
μg/m3.
CB
34.05
μg/m3,
which
lower
than
Chinese
Grade
II
standard
(GB
3095-2012).
additional
emissions
humans
resulted
an
increase
7
μg/m3
concentration,
while
led
a
decrease
In
terms
Q1
concentrated
midstream,
most
challenging
pollutant
control.
Q2
downstream,
with
relatively
high
but
favorable
Q3
upstream,
there
surplus
environmental
capacity
even
limited
Cites
Q4
have
suitable
development
potential
exhibit
discrete
spatial
distribution.
research
distinguished
various
pollution
provided
insights
different
characteristics
around
Belt.
This
information
has
helped
government
classify
implement
specific
policies
based
their
individual
situations.
Air
pollution
greatly
impacts
economic
development
and
is
of
common
concern
to
all
sectors
society.
However,
the
discussion
on
interrelationships
between
air
pollutants
effect
socio-economic
indicators
remain
lacking.
This
study
systematically
analyzes
spatiotemporal
characteristics
drivers
four
major
based
a
panel
data
199
districts
counties
in
Beijing–Tianjin–Hebei
region
from
2013
2020.
The
results
showed
that
concentrations
PM2.5,
PM10
NO₂
decreased
by
48.87%,
48.54%
29.33%,
whereas
O₃
increased
24.78%,
making
it
concern.
Moreover,
demonstrated
an
overall
positive
spatial
correlation.
Among
factors,
GDP
per
capita
total
social
retail
goods
mitigated
pollution,
secondary
industry
was
biggest
cause
pollutant
concentrations.
increase
electricity
consumption
unit
alleviated
south-central
Beijing–Tianjin–Hebei.
Furthermore,
ecological
conservation
areas
represented
Zhangjiakou
Chengde
tended
exacerbate
as
level
increased.
study's
comprehensive
analysis
provides
theoretical
support
for
targeted
control
measures
policies
sustainable
different
regions.