Investigations of spatial-temporal distribution and regional transport in typical section of NO2 in eastern China using Mobile-DOAS
The Science of The Total Environment,
Год журнала:
2025,
Номер
973, С. 179174 - 179174
Опубликована: Март 23, 2025
Язык: Английский
Research on regional ozone prevention and control strategies in eastern China based on pollutant transport network and FNR
Haoyun Qi,
Wenjiao Duan,
Shuiyuan Cheng
и другие.
The Science of The Total Environment,
Год журнала:
2024,
Номер
918, С. 170486 - 170486
Опубликована: Фев. 3, 2024
Язык: Английский
Towards Cleaner Air in Urban Areas: The Dual Influence of Urban Built Environment Factors and Regional Transport
Li Han,
Yongjie Qi,
Dong Liu
и другие.
Environmental Pollution,
Год журнала:
2024,
Номер
unknown, С. 125584 - 125584
Опубликована: Дек. 1, 2024
Язык: Английский
Network Approach Identifies the Control Cities of O3 Pollution
Опубликована: Ноя. 28, 2023
In
recent
years,
ozone
(O3)
pollution
has
been
rapidly
spreading,
restricting
further
improvement
of
air
quality
in
China.
Investigating
the
interaction
O3
concentration
and
identifying
their
driven
cities
are
important
for
prevention
control
However,
complex
between
not
yet
revealed.
this
study,
we
address
gap
based
on
network
methods.
Specifically,
an
relational
is
constructed
using
association
calculation
method.
The
nodes
spatial
clusters
were
analyzed
maximum
matching
algorithm
Louvain
algorithm.
findings
study
reveal
aggregation
phenomenon
concerning
distance.
Furthermore,
as
threshold
Tc
varies,
proportion
exhibits
a
positive
correlation.
Moreover,
closer
value
corresponds
to
higher
coincidence
ratio
nodes.
results
provide
scientific
guidance
national
regional
synergy
formatting.
introduced
network-based
approaches
offer
mythological
framework
key
clusters.
Язык: Английский
Elucidating transport dynamics and regional division of PM2.5 and O3 in China using an advanced network model
Environment International,
Год журнала:
2024,
Номер
188, С. 108731 - 108731
Опубликована: Май 17, 2024
Air
pollution
exhibits
significant
spatial
spillover
effects,
complicating
and
challenging
regional
governance
models.
This
study
innovatively
applied
optimized
a
statistics-based
complex
network
method
in
atmospheric
environmental
field.
The
methodology
was
enhanced
through
improvements
edge
weighting
threshold
calculations,
leading
to
the
development
of
an
advanced
pollutant
transport
model.
model
integrates
pollution,
meteorological,
geographical
data,
thereby
comprehensively
revealing
dynamic
characteristics
PM
Язык: Английский
Research on Evolution and Recommendations of China’s PM2.5 and O3 Pollution Control Policies under the Carbon Peak and Carbon Neutrality Targets
Sustainability,
Год журнала:
2024,
Номер
16(15), С. 6641 - 6641
Опубликована: Авг. 3, 2024
In
recent
years,
the
issue
of
PM2.5
and
O3
pollution
in
China
has
gradually
become
a
hot
topic
air
control.
Powerful,
precise,
clear
policies
are
important
to
guide
efficient
control
pollution.
However,
research
on
is
very
limited.
Moreover,
these
reports
have
failed
identify
all
specific
characteristics
China,
leading
inefficient
Therefore,
based
external
features
internal
structures
relevant
policy
documents,
this
paper
conducts
detailed
bibliometric
analysis
elucidate
evolution
China.
The
results
reveal
following:
(1)
exhibit
characteristic
“top-down
cross-level
response
lag”,
transitioning
from
individual
pollutant
coordinated
(2)
Ministry
Environmental
Protection
Ecology
Environment
been
two
major
issuers
China’s
government,
focusing
“Technology”
“Monitoring”,
respectively.
aforementioned
mainly
implemented
by
local
governments,
with
limited
interregional
cooperation
but
an
overemphasis
enterprise
emergency
systems.
(3)
terms
instruments,
supply-
environment-oriented
instruments
predominant,
whereas
demand-oriented
inadequate.
it
suggested
utilize
synergistic
effect
reduction
carbon
mitigation
achieve
goal
“dual
carbon”
strategy,
enhance
public
participation
strengthen
among
diverse
stakeholders,
cross-regional
overcome
governance
barriers,
reasonably
optimize
use
form
effective
combination
instruments.
Язык: Английский
Detecting atmospheric oxidation in the PM2.5 and ozone multilayer complex network
Environmental Research Letters,
Год журнала:
2024,
Номер
19(10), С. 104072 - 104072
Опубликована: Сен. 9, 2024
Abstract
Reducing
the
levels
of
Fine
particulate
matter
(PM
2.5
)
and
ozone
(O
3
is
essential
for
further
improving
air
quality
in
China.
The
intricate
non-linear
interactions
between
PM
O
on
a
national
scale
over
long-term
records
are
not
well
understood.
Here,
we
proposed
novel
multi-layer
network
approach
to
bridge
gap.
Our
findings
reveal
that
variability
precedes
by
one
day.
degree,
weighted
edge
distance
follow
power-law
decay
distribution,
suggesting
their
relationship
random
process.
concentration
Yangtze
River
Delta
(YRD)
region
eastern
Shandong
Province
significantly
impacts
surrounding
areas.
Conversely,
concentrations
Province,
Henan
YRD
Pearl
(PRD)
have
strong
influence
levels.
Moreover,
quantified
seasonality
elucidated
underlying
reasons.
results
revealed
intricately
tied
atmospheric
oxidation
processes.
More
specifically,
summer,
has
impact
key
regions,
such
as
Beijing–Tianjin–Hebei,YRD
Fenwei
Plain.
However,
PRD
experiences
more
pronounced
effect
from
this
winter.
These
demonstrate
it
crucial
effectively
regulate
mitigate
.
also
serve
valuable
methodological
framework
understanding
characteristics
pollutants.
Язык: Английский