ACS ES&T Air,
Journal Year:
2024,
Volume and Issue:
1(8), P. 767 - 779
Published: May 21, 2024
Indoor
air
quality
is
critical
to
human
health,
as
individuals
spend
an
average
of
90%
their
time
indoors.
However,
indoor
particulate
matter
(PM)
sensor
networks
are
not
deployed
often
outdoor
networks.
In
this
study,
PM2.5
exposure
investigated
via
2
low-cost
in
Pittsburgh.
The
concentrations
reported
by
the
were
fed
into
a
Monte
Carlo
simulation
predict
daily
for
4
demographics
(indoor
workers,
schoolchildren,
and
retirees).
Additionally,
study
compares
effects
different
correction
factors
on
from
PurpleAir
sensors,
including
both
empirical
physics-based
corrections.
results
show
that
mean
varied
1.5
μg/m3
or
less
when
similar.
When
PM
lower
than
outdoor,
increasing
spent
outdoors
increased
up
3
μg/m3.
These
differences
highlight
importance
carefully
selecting
sites
deployment
value
having
robust
network
with
placement.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 21, 2025
Abstract
Achieving
WHO
air
pollution
guidelines
is
critical
to
reduce
the
health
burden
of
pollution,
which
disproportionately
affects
socioeconomically
disadvantaged
populations
and
varies
by
sector,
spatial
distribution,
seasonal
trends.
This
study
explores
implications
sectorial
spatial-seasonal
patterns,
socio-economic
disparities,
15-minute
communities
achieve
(2021)
quality
for
PM
2.5
NO
2
.
The
analyses
spatial-temporal
patterns
in
Belgium.
Seasonal
exposure
assessed
through
summer-to-winter
ratios,
stratified
land
cover,
urbanisation,
proximity
roads,
linked
disparities
using
LOESS
regression.
A
case
evaluates
mitigation
potential
traffic-related
leveraging
Mobiscore
tool
explore
relationship
between
accessibility
car
ownership,
a
proxy
emissions.
show
marked
variations,
with
higher
concentration
ratios
summer
near
busy
roads
urban
centres,
especially
In
general
pattern
more
heterogenous
compared
pattern.
Winter
significantly
hampers
meeting
targets,
although
levels
remain
high
around
major
traffic
routes.
observed
NO₂
highlight
significant
inequalities,
most
deprived
burdened
pollution.
results
from
our
case-study
mitigate
demonstrate
that,
up
8.0,
ownership
remains
constant
increasing
availability
services
public
transport.
From
turning
point
ownerships
starts
drop
significantly,
indicating
that
improving
Mobiscores
very
scores
(
>
=
8.0)
may
lead
reduced
lower
emissions
exposure.
Our
highlights
important
their
implications,
emphasizing
need
season-specific
structural
interventions
meet
on
mitigating
identifies
threshold
where
sufficient
transport
service
reduction
ownership.
Addressing
crucial,
as
these
areas
often
face
greater
challenges
guidelines,
particularly
NO₂.
Environmental Science & Technology,
Journal Year:
2022,
Volume and Issue:
56(14), P. 10172 - 10182
Published: June 30, 2022
Ambient
PM2.5
(fine
particulate
matter
with
aerodynamic
diameters
≤
2.5
μm)
is
thought
to
be
associated
the
development
of
diabetes,
but
few
studies
traced
effects
components
and
pollution
sources
on
change
in
fasting
blood
glucose
(FBG).
In
present
study,
we
assessed
associations
constituents
their
FBG
a
general
Chinese
population
aged
over
40
years.
Exposure
was
positively
level,
each
interquartile
range
(IQR)
increase
lag
period
30
days
(18.4
μg/m3)
showed
strongest
association
an
elevated
0.16
mmol/L
(95%
confidence
interval:
0.04,
0.28).
Among
various
constituents,
increases
exposed
elemental
carbon,
organic
matter,
arsenic,
heavy
metals
such
as
silver,
cadmium,
lead,
zinc
were
higher
FBG,
whereas
barium
chromium
lower
levels.
The
level
closely
from
coal
combustion,
industrial
sources,
vehicle
emissions,
while
secondary
statistically
insignificant.
Improving
air
quality
by
tracing
back
would
help
develop
well-directed
policies
protect
human
health.
ACS ES&T Air,
Journal Year:
2024,
Volume and Issue:
1(8), P. 767 - 779
Published: May 21, 2024
Indoor
air
quality
is
critical
to
human
health,
as
individuals
spend
an
average
of
90%
their
time
indoors.
However,
indoor
particulate
matter
(PM)
sensor
networks
are
not
deployed
often
outdoor
networks.
In
this
study,
PM2.5
exposure
investigated
via
2
low-cost
in
Pittsburgh.
The
concentrations
reported
by
the
were
fed
into
a
Monte
Carlo
simulation
predict
daily
for
4
demographics
(indoor
workers,
schoolchildren,
and
retirees).
Additionally,
study
compares
effects
different
correction
factors
on
from
PurpleAir
sensors,
including
both
empirical
physics-based
corrections.
results
show
that
mean
varied
1.5
μg/m3
or
less
when
similar.
When
PM
lower
than
outdoor,
increasing
spent
outdoors
increased
up
3
μg/m3.
These
differences
highlight
importance
carefully
selecting
sites
deployment
value
having
robust
network
with
placement.
