Building and Environment,
Journal Year:
2024,
Volume and Issue:
260, P. 111670 - 111670
Published: May 24, 2024
This
paper
presents
a
novel
data
mining
method
to
discover
the
occurrence
time,
co-occurrence
and
sequential
association
rules
among
indoor
air
quality
(IAQ),
Heating,
Ventilation
Air
Conditioning
(HVAC)
operations
occupants'
activities.
The
novelty
of
this
work
includes
peak
detection
pollutants'
peaks
rule
with
extended
selection
criteria
that
considers
both
time
lags
between
events
relationships
multiple
events.
aimed
use
moving
windows
find
candidate
non-maximum
suppression
filter
overlapped
peaks.
proposed
is
based
on
Apriori
Apriori-All
by
labeling
various
times
limiting
occurrences
rules.
Two
datasets,
one
from
70
houses
single
commercial
building,
were
used
evaluate
performance
data-driven
method.
results
showed
93.19%
matched
detected
records.
CO2
peaked
frequently
at
12:00,
17:00
19:00
24:00.
activities
could
lead
concentrations
pollutants
within
2
hours
in
residential
buildings.
high
Wifi
connection
number
was
followed
building.
These
findings
can
support
development
control
strategies
for
building
HVAC
systems
achieve
better
control.
Environmental Technology & Innovation,
Journal Year:
2022,
Volume and Issue:
28, P. 102551 - 102551
Published: April 12, 2022
In
recent
years,
low-cost
air
pollution
technologies
have
gained
increasing
interest
and,
been
studied
widely
by
the
scientific
community.
Thus,
these
new
sensing
must
provide
reliable
data
with
good
precision
and
accuracy.
Accordingly,
this
review
aimed
to
evaluate
compare
technology
against
other
instruments
used
for
comparison
various
studies
from
literature
monitor
indoor
quality
in
different
environments.
After
exclusions,
a
total
of
42
divided
into
two
subsections
(11
laboratory
31
field
studies)
were
analysed
considering
their
aim,
location,
study
duration,
sampling
area,
pollutant(s)
evaluated,
sensor/device
instrument
comparison,
performance
indexes
main
outcomes.
The
reviewed
assess
sensors/devices
comparison.
vast
majority
took
place
USA.
mainly
conducted
controlled
chamber,
performed
homes,
offices,
educational
buildings,
among
others.
both
cases,
particulate
matter
was
most
assessed
pollutant,
either
commercial
devices
(e.g.:
Speck,
Dylos,
Foobot)
or
sensors
(e.g.
Sharp
GP2Y1010AU0F).
general,
based
on
statistical
parameters,
tested
presented
moderate
correlations
revealing
sufficient
monitoring
microenvironments,
especially
qualitative
analysis.
is
encouraged,
but
not
waiving
relevance
high
(mainly
reference
instruments).
Applied Spectroscopy Reviews,
Journal Year:
2022,
Volume and Issue:
57(9-10), P. 747 - 779
Published: June 27, 2022
Humans
spend
the
majority
of
their
time
indoors,
where
they
are
potentially
exposed
to
hazardous
pollutants.
Within
this
context,
over
past
few
years,
there
has
been
an
upsurge
low-cost
sensors
(LCS)
for
measurement
indoor
air
pollutants,
motivated
both
by
recent
technological
advances
and
increased
awareness
quality
(IAQ)
its
potential
negative
health
impacts.
Although
not
meeting
performance
requirements
reference
regulatory-equivalent
monitoring
LCS
can
provide
informative
measurements,
offering
opportunity
high-resolution
monitoring,
emission
source
identification,
exposure
mitigation
managing
IAQ
energy
efficiency,
among
others.
This
article
discusses
strengths
limitations
that
offer
applications
in
field
monitoring;
it
provides
overview
existing
sensor
technologies
gives
recommendations
different
applications,
considering
complex
environment
discussing
future
trends.
Environmental Technology & Innovation,
Journal Year:
2024,
Volume and Issue:
33, P. 103534 - 103534
Published: Jan. 8, 2024
Poor
indoor
air
quality
is
responsible
for
around
3.2
million
premature
deaths
each
year.
Accurately
identifying
pollution
(IAP)
sources
a
quintessential
step
towards
mitigating
pollutants
and
associated
health
risks.
Traditionally,
receptor
models
have
been
used
however,
recently,
new
source
identification
methods
risen,
which
use
real-time
continuous
monitoring
data.
In
this
review,
the
state-of-art
in
mitigation
trends
using
IAP
are
critically
analysed.
Thirty-two
research
articles
were
reviewed
with
emphasis
on
along
monitoring:
environments
monitored,
pollutants,
methods,
found.
Receptor
factor
analysis
still
most
prevalent
method.
Meanwhile,
of
has
rapidly
increasing.
Even
low-cost
sensors
(LCS)
started
to
be
sources.
This
review
proposes
method
implementing
identification.
It
also
hypothesises
novel
hybrid
approach
both
traditional
samplers
can
simultaneously
preventive
as
well
reactive
measures.
The
LCS
supplement
proposed,
owing
their
ubiquity.
However,
technologies
need
advance
further
assure
reliability.
Journal of Exposure Science & Environmental Epidemiology,
Journal Year:
2022,
Volume and Issue:
33(3), P. 321 - 331
Published: June 28, 2022
Abstract
Exposure
to
air
pollution
prematurely
kills
7
million
people
globally
every
year.
Policy
measures
designed
reduce
emissions
of
pollutants,
improve
ambient
and
consequently
health
impacts,
can
be
effective,
but
are
generally
slow
generate
change.
Individual
actions
therefore
supplement
policy
more
immediately
people’s
exposure
pollution.
Air
quality
indices
(AQI)
used
(though
not
universally)
translate
complex
data
into
a
single
unitless
metric,
which
paired
with
advice
encourage
behaviour
Here
we
explore,
reference
theories,
why
these
frequently
insufficient
instigate
individual
We
examine
the
theoretical
steps
linking
reduced
(consequently)
improved
public
health,
arguing
that
combination
‘personalised’
greater
engagement
will
together
better
support
action.
Based
on
this,
present
novel
framework,
which,
when
shape
interventions,
has
potential
yield
effective
sustainable
interventions
exposures
thus
global
burden
Environment International,
Journal Year:
2023,
Volume and Issue:
175, P. 107934 - 107934
Published: April 18, 2023
People
generally
spend
most
of
their
time
indoors,
making
indoor
air
quality
be
great
significance
to
human
health.
Large
spatiotemporal
heterogeneity
pollution
can
hardly
captured
by
conventional
filter-based
monitoring
but
real-time
monitoring.
Real-time
is
conducive
change
assessment
mode
from
static
and
sparse
analysis
dynamic
massive
analysis,
has
made
remarkable
strides
in
evaluation.
In
this
review,
the
state
art,
strengths,
challenges,
further
development
sensors
used
evaluation
are
focused
on.
Researches
using
for
have
increased
rapidly
since
2018,
mainly
conducted
China
USA,
with
frequently
investigated
pollutants
PM2.5.
addition
high
resolution,
prominent
advantages
3-dimensional
monitoring,
peak
source
identification,
short-term
health
effect
Huge
amounts
data
also
facilitate
modeling
prediction
pollution.
However,
challenges
still
remain
extensive
deployment
including
selection,
performance,
stability,
as
well
calibration
sensors.
future,
long-term
low
price,
energy
consumption
welcomed.
Furthermore,
more
target
expected
detected
simultaneously
Environment International,
Journal Year:
2023,
Volume and Issue:
174, P. 107907 - 107907
Published: March 31, 2023
Air
quality
is
one
of
the
most
important
factors
in
public
health.
While
outdoor
air
widely
studied,
indoor
environment
has
been
less
scrutinised,
even
though
time
spent
indoors
typically
much
greater
than
outdoors.
The
emergence
low-cost
sensors
can
help
assess
quality.
This
study
provides
a
new
methodology,
utilizing
and
source
apportionment
techniques,
to
understand
relative
importance
pollution
sources
upon
methodology
tested
with
three
placed
different
rooms
inside
an
exemplar
house
(bedroom,
kitchen
office)
When
family
was
present,
bedroom
had
highest
average
concentrations
for
PM2.5
PM10
(3.9
±
6.8
ug/m3
9.6
12.7
μg/m3
respectively),
due
activities
undertaken
there
presence
softer
furniture
carpeting.
kitchen,
while
presenting
lowest
PM
both
size
ranges
(2.8
5.9
4.2
6.9
presented
spikes,
especially
during
cooking
times.
Increased
ventilation
office
resulted
PM1
concentration
(1.6
1.9
μg/m3),
highlighting
strong
effect
infiltration
smallest
particles.
Source
apportionment,
via
positive
matrix
factorisation
(PMF),
showed
that
up
95
%
found
be
all
rooms.
reduced
as
particle
increased,
contributing
>65
PM2.5,
50
PM10,
depending
on
room
studied.
approach
elucidate
contributions
total
exposure,
described
this
paper,
easily
scalable
translatable
locations.
Environmental Research Communications,
Journal Year:
2024,
Volume and Issue:
6(1), P. 012001 - 012001
Published: Jan. 1, 2024
Abstract
Understanding
of
the
various
sources
indoor
air
pollution
requires
quality
(IAQ)
data
that
is
usually
lacking.
Such
can
be
obtained
using
unobtrusive,
low-cost
sensors
(LCS).
The
aim
this
review
to
examine
recent
literature
published
on
LCS
for
IAQ
measurements
and
determine
whether
these
studies
employed
any
methods
identify
or
quantify
pollution.
Studies
were
reviewed
in
terms
source
apportionment
employed,
as
well
microenvironment
type,
geographical
location,
several
metrics
relating
contribution
outdoor
pollutant
ingress
versus
potential
sources.
We
found
out
60
relevant
studies,
just
four
apportionment,
all
which
utilised
receptor
models.
Most
undertaken
residential
educational
environments.
There
a
lack
other
types
microenvironments
locations
outside
Europe
North
America.
are
inherent
limitations
with
producing
This
applies
external
data,
however
even
more
challenging
measure
due
its
characteristics.
environment
heterogeneous,
significant
variability
within
space
between
different
locations.
Sensor
placement,
occupancy,
activity
reports,
locations,
contribute
understanding
variability.
Outdoor
pollutants
into
via
building
envelope,
measurement
environmental
conditions,
recording
details
fabric
ventilation
help
apportion
contributions.
Whether
not
models
from
LCS,
there
parameters
which,
if
carefully
considered
during
campaigns,
aid
identification
pollutants.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 13, 2025
Abstract
The
rapid
development
of
low-cost
sensors
provides
the
opportunity
to
greatly
advance
scope
and
extent
monitoring
indoor
air
pollution.
In
this
study,
calibrated
particle
matter
(PM)
a
non-negative
matrix
factorisation
(NMF)
source
apportionment
technique
are
used
investigate
PM
concentrations
contributions
across
three
households
in
an
urban
residential
area.
NMF
is
applied
combined
data
from
all
houses
generate
profiles
that
can
be
understand
how
characteristics
similar
or
differ
between
different
same
2.5
10
were
greater,
more
variable,
significantly
ambient
recorded
at
nearby
site.
Concentrations
also
houses,
with
World
Health
Organisation
24-h
guideline
limits
for
breached
one
household.
methodology
was
highly
successful
modelling
(R
2
$$\ge$$
≥
0.983),
finding
I/O
(indoor
outdoor
sources
ratio)
lowest
1
(down
0.08),
greatest
(up
4.93).
Whilst
could
not
clearly
distinguished
further
than
being
outdoors
indoors,
clear
insights
variability
within
monitored
houses.
These
results
highlight
importance
pollution
improve
exposure
estimates,
as
whilst
people
may
live
areas
acceptable
quality,
they
exposed
unhealthy
their
own
homes.
This
method
future
studies
extended
periods
influence
seasonality
on
scaled
up
larger
geographical
areas.