Ecotoxicology and Environmental Safety,
Journal Year:
2023,
Volume and Issue:
259, P. 115039 - 115039
Published: May 24, 2023
Growing
evidence
links
long-term
air
pollution
exposure
with
renal
function.
However,
little
research
has
been
conducted
on
the
combined
effects
of
pollutant
mixture
function
and
multiple
mediation
metabolic
risk
factors.
This
study
enrolled
8996
adults
without
chronic
kidney
disease
(CKD)
at
baseline
from
CHCN-BTH
cohort
study.
Three-year
to
pollutants
[particulate
matter
≤
2.5
µm
(PM2.5),
PM10,
PM1,
ozone
(O3),
nitrogen
dioxide
(NO2),
sulfur
(SO2)
carbon
monoxide
(CO)]
PM2.5
components
[black
(BC),
ammonium
(NH4+),
nitrate
(NO3-),
sulfate
(SO42-)
organic
(OM)]
were
assessed
using
well-validated
machine
learning
methods.
Linear
mixed
models
applied
investigate
associations
between
estimated
glomerular
filtration
rate
(eGFR).
Quantile
G-computation
was
used
assess
mixtures.
Causal
analysis
Bayesian
employed
estimate
An
interquartile
range
increases
in
BC
(-0.256,
95
%CI:
-0.331,
-0.180)
OM
(-0.603,
-0.810,
-0.397)
significantly
associated
eGFR
decline;
while
O3
(1.151,
0.813,
1.489),
PM10
(0.721,
0.309,
1.133),
NH4+
(0.990,
0.638,
1.342),
NO3-
(0.610,
0.405,
0.815)
higher
eGFR.
The
effect
component
found
be
lower
(-1.147,
%
CI:
-1.456,
-0.839),
contributing
72.4
negative
effect.
Univariate
analyses
showed
that
high-density
lipoprotein
(HDL)
mediated
7.1
%,
6.9
6.1
O3,
BC,
OM,
respectively.
these
not
significant
analysis.
These
findings
suggest
decline
strong
contribution
OM.
Metabolic
factors
may
mediate
pollutants.
Further
is
warranted
clarify
potential
mechanisms
involved.
Environmental Science & Technology,
Journal Year:
2023,
Volume and Issue:
57(46), P. 18282 - 18295
Published: April 28, 2023
Fine
particulate
matter
(PM2.5)
chemical
composition
has
strong
and
diverse
impacts
on
the
planetary
environment,
climate,
health.
These
effects
are
still
not
well
understood
due
to
limited
surface
observations
uncertainties
in
model
simulations.
We
developed
a
four-dimensional
spatiotemporal
deep
forest
(4D-STDF)
estimate
daily
PM2.5
at
spatial
resolution
of
1
km
China
since
2000
by
integrating
measurements
species
from
high-density
observation
network,
satellite
retrievals,
atmospheric
reanalyses,
Cross-validation
results
illustrate
reliability
sulfate
(SO42-),
nitrate
(NO3-),
ammonium
(NH4+),
chloride
(Cl-)
estimates,
with
high
coefficients
determination
(CV-R2)
ground-based
0.74,
0.75,
0.71,
0.66,
average
root-mean-square
errors
(RMSE)
6.0,
6.6,
4.3,
2.3
μg/m3,
respectively.
The
three
components
secondary
inorganic
aerosols
(SIAs)
account
for
21%
20%
14%
(NH4+)
total
mass
eastern
China;
we
observed
significant
reductions
40-43%
between
2013
2020,
slowing
down
2018.
Comparatively,
ratio
SIA
increased
7%
across
except
Beijing
nearby
areas,
accelerating
recent
years.
SO42-
been
dominant
component
China,
although
it
was
surpassed
NO3-
some
e.g.,
Beijing-Tianjin-Hebei
region
2016.
SIA,
accounting
nearly
half
(∼46%)
mass,
drove
explosive
formation
winter
haze
episodes
North
Plain.
A
sharp
decline
concentrations
an
increase
SIA-to-PM2.5
ratios
during
COVID-19
lockdown
were
also
revealed,
reflecting
enhanced
oxidation
capacity
particles.
The Innovation,
Journal Year:
2024,
Volume and Issue:
5(5), P. 100691 - 100691
Published: Aug. 23, 2024
Public
summary•What
does
AI
bring
to
geoscience?
has
been
accelerating
and
deepening
our
understanding
of
Earth
Systems
in
an
unprecedented
way,
including
the
atmosphere,
lithosphere,
hydrosphere,
cryosphere,
biosphere,
anthroposphere
interactions
between
spheres.•What
are
noteworthy
challenges
As
we
embrace
huge
potential
geoscience,
several
arise
reliability
interpretability,
ethical
issues,
data
security,
high
demand
cost.•What
is
future
The
synergy
traditional
principles
modern
AI-driven
techniques
holds
immense
promise
will
shape
trajectory
geoscience
upcoming
years.AbstractThis
paper
explores
evolution
geoscientific
inquiry,
tracing
progression
from
physics-based
models
data-driven
approaches
facilitated
by
significant
advancements
artificial
intelligence
(AI)
collection
techniques.
Traditional
models,
which
grounded
physical
numerical
frameworks,
provide
robust
explanations
explicitly
reconstructing
underlying
processes.
However,
their
limitations
comprehensively
capturing
Earth's
complexities
uncertainties
pose
optimization
real-world
applicability.
In
contrast,
contemporary
particularly
those
utilizing
machine
learning
(ML)
deep
(DL),
leverage
extensive
glean
insights
without
requiring
exhaustive
theoretical
knowledge.
ML
have
shown
addressing
science-related
questions.
Nevertheless,
such
as
scarcity,
computational
demands,
privacy
concerns,
"black-box"
nature
hinder
seamless
integration
into
geoscience.
methodologies
hybrid
presents
alternative
paradigm.
These
incorporate
domain
knowledge
guide
methodologies,
demonstrate
enhanced
efficiency
performance
with
reduced
training
requirements.
This
review
provides
a
comprehensive
overview
research
paradigms,
emphasizing
untapped
opportunities
at
intersection
advanced
It
examines
major
showcases
advances
large-scale
discusses
prospects
that
landscape
outlines
dynamic
field
ripe
possibilities,
poised
unlock
new
understandings
further
advance
exploration.Graphical
abstract
Environment International,
Journal Year:
2024,
Volume and Issue:
184, P. 108464 - 108464
Published: Feb. 1, 2024
Epidemiological
evidence
on
the
association
of
PM2.5
(particulate
matter
with
aerodynamic
diameter
≤
2.5
μm)
and
its
specific
components
hypertension
blood
pressure
is
limited.
We
applied
information
participants
from
World
Health
Organization's
(WHO)
Study
Global
Ageing
Adult
(SAGE)
to
estimate
associations
long-term
mass
chemical
exposure
(BP)
incidence
in
Chinese
adults
≥
50
years
during
2007–2018.
Generalized
linear
mixed
model
Cox
proportional
hazard
were
investigate
effects
BP,
respectively.
Each
interquartile
range
(IQR
=
16.80
μg/m3)
increase
one-year
average
concentration
was
associated
a
17
%
risk
(HR
1.17,
95
CI:
1.10,
1.24),
population
attributable
fraction
(PAF)
23.44
(95
14.69
%,
31.55
%).
IQR
μg/m3
also
related
increases
systolic
(SBP)
by
2.54
mmHg
CI:1.99,
3.10),
diastolic
(DBP)
1.36
1.04,
1.68).
Additionally,
SO42−,
NO3−,
NH4+,
OM,
BC
positively
an
increased
elevated
pressure.
These
results
indicate
that
may
be
major
drivers
escalation
diseases.
Environment International,
Journal Year:
2024,
Volume and Issue:
183, P. 108417 - 108417
Published: Jan. 1, 2024
The
association
of
specific
PM2.5
chemical
constituents
with
childhood
overweight
or
obesity
(OWOB)
remain
unclear.
Furthermore,
the
long-term
impacts
exposure
on
trajectory
children's
body
mass
index
(BMI)
have
not
been
explored.
We
conducted
a
longitudinal
study
among
1,450,830
Chinese
children
aged
6-19
years
from
Beijing
and
Zhongshan
in
China
during
2005-2018
to
examine
associations
its
incident
OWOB
risk.
extracted
five
main
component
Tracking
Air
Pollution
(TAP)
dataset.
Cox
proportional
hazards
models
were
applied
quantify
exposure-response
associations.
further
performed
principal
analysis
(PCA)
handle
multi-collinearity
used
quantile
g-computation
(QGC)
approach
analyze
mixtures.
Additionally,
we
selected
125,863
at
least
8
physical
examination
measurements
combined
group-based
(GBTM)
multinomial
logistic
regression
explore
BMI
Z-score
trajectories
years.
observed
each
interquartile
range
increment
was
significantly
associated
5.1%
increase
risk
(95%
confidence
Interval
[CI]:
1.036-1.066).
also
found
black
carbon,
sulfate,
organic
matter,
often
linked
fossil
combustion,
had
comparable
larger
estimates
effect
(HR
=
1.139-1.153)
than
PM2.5.
Exposure
mass,
nitrate,
ammonium,
matter
carbon
an
increased
odds
being
assigned
persistent
trajectory.
Our
findings
provide
evidence
that
mainly
fuel
combustion
may
perceptible
influence
China.
Moreover,
contributes
lager
trajectories.
