Monte Carlo simulation framework for assessing heavy metal exposure and adverse health effects in fly-in fly-out workers
Journal of Environmental Management,
Год журнала:
2025,
Номер
380, С. 125074 - 125074
Опубликована: Март 20, 2025
Язык: Английский
Global health risk attributable to PM2.5 pollution in relation to wealth inequality
Journal of Environmental Sciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Язык: Английский
Quantitative estimation and influencing factors of transboundary air pollution from the perspective of regional heterogeneity
Environmental Monitoring and Assessment,
Год журнала:
2025,
Номер
197(6)
Опубликована: Май 27, 2025
Язык: Английский
Validation and Comparison of Long-Term Accuracy and Stability of Global Reanalysis and Satellite Retrieval AOD
Remote Sensing,
Год журнала:
2024,
Номер
16(17), С. 3304 - 3304
Опубликована: Сен. 5, 2024
Reanalysis
and
satellite
retrieval
are
two
primary
approaches
for
obtaining
large-scale
long-term
Aerosol
Optical
Depth
(AOD)
datasets.
This
study
evaluates
compares
the
accuracy,
stability,
error
characteristics
of
MERRA-2,
MODIS
combined
Dark
Target
Deep
Blue
(DT&DB),
VIIRS
DB
AOD
products
globally
regionally.
The
results
indicate
that
MERRA-2
exhibits
highest
accuracy
with
an
expected
(EE,
±0.05
±
20%)
83.24%
mean
absolute
(MAE)
0.056,
maintaining
a
stability
0.010
per
decade.
However,
since
ceased
assimilating
observations
other
than
in
2014,
its
decreased
by
approximately
5.6%
EE
metric
after
2014.
(DB)
product,
79.43%
0.016
decade,
is
slightly
less
accurate
stable
compared
to
AOD.
DT&DB
demonstrates
76.75%
0.011
Regionally,
performs
acceptably
most
areas,
especially
low-aerosol-loading
regions,
>
86%
~0.02
excels
high-aerosol-loading
such
as
Indian
subcontinent,
69.14%
0.049
performance
falls
between
across
regions.
Overall,
each
product
meets
metrics
globally,
but
users
need
select
appropriate
analysis
based
on
validation
different
Язык: Английский
Impact of improved air quality on lung function and blood pressure of middle-aged and older population in China
Journal of Environmental Sciences,
Год журнала:
2024,
Номер
155, С. 846 - 857
Опубликована: Июнь 22, 2024
Язык: Английский
Big data from population surveys and environmental monitoring-based machine learning predictions of indoor PM2.5 in 22 cities in China
Ecotoxicology and Environmental Safety,
Год журнала:
2024,
Номер
287, С. 117285 - 117285
Опубликована: Ноя. 1, 2024
Many
studies
have
confirmed
that
PM
Язык: Английский