PM2.5 and O3 concentration estimation based on interpretable machine learning
Atmospheric Pollution Research,
Год журнала:
2023,
Номер
14(9), С. 101866 - 101866
Опубликована: Июль 26, 2023
Язык: Английский
Pollution characteristics, source appointment and environmental effect of oxygenated volatile organic compounds in Guangdong-Hong Kong-Macao Greater Bay Area: Implication for air quality management
The Science of The Total Environment,
Год журнала:
2024,
Номер
919, С. 170836 - 170836
Опубликована: Фев. 10, 2024
Язык: Английский
Investigation on the budget of peroxyacetyl nitrate (PAN) in the Yangtze River Delta: Unravelling local photochemistry and regional impact
The Science of The Total Environment,
Год журнала:
2024,
Номер
917, С. 170373 - 170373
Опубликована: Янв. 27, 2024
Язык: Английский
Complexities of peroxyacetyl nitrate photochemistry and its control strategies in contrasting environments in the Pearl River Delta region
npj Climate and Atmospheric Science,
Год журнала:
2024,
Номер
7(1)
Опубликована: Май 31, 2024
Abstract
Peroxyacetyl
nitrate
(PAN)
is
a
hazardous
secondary
pollutant
and
nitrogen
reservoir
in
the
troposphere,
while
comprehensive
studies
on
its
spatiotemporal
distribution,
chemical
sources,
control
strategies
are
limited.
This
study
addressed
these
issues
based
1-year
multi-site
observations
Pearl
River
Delta
region,
showing
pattern
of
higher
PAN
levels
cold
season,
particularly
coastal
areas.
Moreover,
situ
modeling
indicated
net
photochemical
formation
warm
was
dominated
by
regional
transport
season
(i.e.,
rural
areas),
releasing
NO
2
PA
radicals
promoting
ozone
(O
3
)
formation.
In
addition,
feasibility
joint
O
confirmed
their
isopleth
diagrams.
C
7
–C
9
aromatics
4
5
alkenes,
largely
from
vehicle
exhaust
solvent
usage,
were
identified
as
predominant
contributors
to
this
region.
Overall,
deepens
our
understanding
chemistry
provides
valuable
insights
into
measures.
Язык: Английский
Enhancing Time Resolution of Ambient VOC Measurement Data by Machine Learning: From One‐Hour to Five Minutes
Journal of Geophysical Research Atmospheres,
Год журнала:
2025,
Номер
130(5)
Опубликована: Фев. 27, 2025
Abstract
Atmospheric
volatile
organic
compounds
(VOCs)
significantly
impact
the
environment
and
public
health,
necessitating
precise,
continuous
online
monitoring.
Currently,
VOCs
monitoring
primarily
uses
Gas
Chromatography‐Mass
Spectrometry
(GC‐MS)
Proton
Transfer
Reaction‐Time
of
Flight
Mass
(PTR‐ToF‐MS).
GC‐MS
is
favored
for
its
accurate
compound
identification
capabilities
but
limited
by
lower
temporal
resolution.
Conversely,
PTR‐ToF‐MS,
while
achieving
minute‐scale
resolution
directly
ionizing
samples,
struggles
to
detect
low‐proton‐affinity
compounds.
Here,
based
on
5
years
long‐term
data,
we
propose
Adaptive
Convolutional
Tree
Ensemble
(ACTE)
model
surpass
current
instruments
limitations
accurately
obtain
high‐resolution
(5‐min)
VOCs.
Our
results
indicate
that
this
consistently
achieves
robust
predictive
accuracy
across
different
major
species
categories,
notably
R
2
values
0.92
0.89
alkanes
alkenes,
respectively,
which
mostly
have
low‐proton‐affinity.
Furthermore,
comparing
simulations
using
resolutions
in
ozone
mechanism
modeling,
found
models
with
higher
more
comprehensively
capture
rapidly
occurring
photochemical
reactions,
whereas
hourly
tend
overlook
many
details,
potentially
leading
inaccuracies
understanding
related
mechanisms.
This
study
underscores
potential
machine
learning
improve
atmospheric
pollutants
enhance
our
chemical
processes.
Язык: Английский
Sources of atmospheric oxygenated volatile organic compounds in different air masses in Shenzhen, China
Environmental Pollution,
Год журнала:
2023,
Номер
340, С. 122871 - 122871
Опубликована: Ноя. 3, 2023
Язык: Английский
Exploring the long-term variations and high concentration episodes of peroxyacetyl nitrate in Megacity Seoul
Atmospheric Environment,
Год журнала:
2024,
Номер
unknown, С. 120821 - 120821
Опубликована: Сен. 1, 2024
Язык: Английский
Pollution characteristics of peroxyacetyl nitrate in karst areas in Southwest China
Atmospheric and Oceanic Science Letters,
Год журнала:
2023,
Номер
17(2), С. 100442 - 100442
Опубликована: Окт. 29, 2023
In
recent
years,
the
issue
of
photochemical
pollution
in
Guangxi
region
China
has
escalated
considerably.
However,
there
remains
a
notable
dearth
related
research
this
area.
Peroxyacetyl
nitrate
(PAN),
recognized
as
reliable
indicator
pollution,
was
focus
our
study.
This
study
marks
inaugural
observation
PAN
levels
Guilin,
renowned
world
tourist
destination
situated
typical
karst
region,
during
1–31
October
2021.
Throughout
period,
average
volume
concentration
ranged
from
0.087–2.559
ppb,
which
3.61
times
higher
than
South
background
site
Nanling.
Combined
with
meteorological
factors
and
potential
source
analysis,
causes
high-value
process
were
explored
24–29
October.
The
results
showed
that,
event,
primarily
originated
horizontal
transport
polluted
air
masses
descent
high-altitude
Hunan
Province
northeast
direction.
Additionally,
conditions,
including
high
temperatures,
intense
radiation,
low
humidity,
fostered
local
formation.
Notably,
traffic
emissions
emerged
primary
PAN's
locally
generated
precursor
volatile
organic
compounds.
Furthermore,
we
estimated
O3
to
be
approximately
20.347
ppb
based
on
monitoring
data,
constituting
44.4%
total
Guilin
City.
offers
valuable
insights
for
addressing
mitigating
southern
Chinese
cities,
while
providing
theoretical
foundation
regional
control
efforts.
桂林是世界著名的地处喀斯特地区的旅游胜地,
其光化学污染问题日益严重.过氧乙酰硝酸酯(PAN)被认为是光化学污染的可靠指标,
也是本研究的重点.本研究于2021年10月首次观测了桂林的PAN的浓度为0.087-2.559
同时探讨了PAN典型高值过程的成因.此次污染主要来源于东北方向污染气团的水平和高空输送,
同时,
高温,强辐射和低湿度等气象条件也促进了本地PAN的形成.本研究同时估算了桂林市的O3背景浓度为20.347
ppb.这项研究为城市的光化学污染控制工作提供了理论基础
Язык: Английский