Abstract.
In
this
study,
an
unmanned
aerial
vehicle
(UAV)
platform
with
sensing
and
sampling
systems
was
developed
for
three-dimensional
(3D)
measurements
of
air
pollutant
concentrations.
The
system
contains
multiple
microsensors
Internet
Things
devices
determining
the
3D
distributions
four
critical
pollutants
two
meteorological
parameters
in
real
time.
Moreover,
comprises
remote-controllable
gas
kits,
each
which
a
Tedlar
bag
1
L
measurement
volatile
organic
compound
concentrations
according
to
TO-15
method
US
Environmental
Protection
Agency.
performance
UAV
verified
experiments
where
it
used
detect
emissions
from
large
industrial
zone
Taiwan
that
included
traditional
park,
precision
machinery
municipal
waste
incineration
plant.
Three
locations
were
selected
as
field
sites
prevailing
local
wind
direction.
vertical
pollutants,
ambient
temperature,
relative
humidity
determined
data
gathered
at
aforementioned
March
May
2023.
A
total
56
72
chemical
species
qualitatively
quantitatively
analyzed
these
periods,
respectively.
experimental
results
feasibility
using
proposed
accurately
evaluating
concentration
distribution
transport
zone.
can
be
part
Method
To-15,
thus
extending
measure
VOCs
area.
serve
useful
tool
management
decision-making
process
pollution
areas.
Remote Sensing,
Год журнала:
2022,
Номер
14(20), С. 5166 - 5166
Опубликована: Окт. 15, 2022
The
impact
of
structural
variations
in
the
atmospheric
boundary
layer
(ABL)
during
regional
transport
air
pollutants
on
its
local
pollution
changes
deserves
attention.
Based
multi-source
ABL
detection
and
numerical
simulation
over
Twain-Hu
Basin
(THB)
4–6
January
2019,
mechanism
rapid
growth
pollutant
concentrations
Xianning
by
synergistic
effect
evolution
is
explored,
main
conclusions
are
obtained
as
follows.
vertically
stratified
atmosphere
noticeable
at
nighttime,
heavy
humidity
near-surface
fog
within
stable
(SBL)
promoted
generation
cumulative
secondary
PM2.5
components
formation
stage.
horizontal
characteristics
concentration
peak
were
observed
residual
(RL)
500–600
m.
At
maintenance
stage,
convective
(CBL)
developed
daytime,
northerly
wind
transported
high-concentration
from
north
to
THB.
Under
combined
action
turbulent
mixing,
mixing
(ML)
ground
500
m
height
mixed
uniformly
maintained
accumulation
growth.
next
day,
strong
vertical
caused
downward
RL
nighttime
due
development
CBL
again,
resulting
a
doubling
short
time.
With
turbulence,
dissipated
rapidly
without
continuous
input
external
regions.
This
study
emphasizes
importance
multi-scale
processes
variation,
that
is,
stage
for
ML.
Abstract.
In
this
study,
an
unmanned
aerial
vehicle
(UAV)
platform
with
sensing
and
sampling
systems
was
developed
for
three-dimensional
(3D)
measurements
of
air
pollutant
concentrations.
The
system
contains
multiple
microsensors
Internet
Things
devices
determining
the
3D
distributions
four
critical
pollutants
two
meteorological
parameters
in
real
time.
Moreover,
comprises
remote-controllable
gas
kits,
each
which
a
Tedlar
bag
1
L
measurement
volatile
organic
compound
concentrations
according
to
TO-15
method
US
Environmental
Protection
Agency.
performance
UAV
verified
experiments
where
it
used
detect
emissions
from
large
industrial
zone
Taiwan
that
included
traditional
park,
precision
machinery
municipal
waste
incineration
plant.
Three
locations
were
selected
as
field
sites
prevailing
local
wind
direction.
vertical
pollutants,
ambient
temperature,
relative
humidity
determined
data
gathered
at
aforementioned
March
May
2023.
A
total
56
72
chemical
species
qualitatively
quantitatively
analyzed
these
periods,
respectively.
experimental
results
feasibility
using
proposed
accurately
evaluating
concentration
distribution
transport
zone.
can
be
part
Method
To-15,
thus
extending
measure
VOCs
area.
serve
useful
tool
management
decision-making
process
pollution
areas.
Remote Sensing,
Год журнала:
2023,
Номер
15(18), С. 4541 - 4541
Опубликована: Сен. 15, 2023
The
goal
of
this
work
is
to
analyze
how
double
inversion
layers
affect
fog–haze
events
and
boundary
over
Eastern
China
based
on
unmanned
aerial
vehicle
observations.
During
10–12
December
2020,
two
successive
occurred
in
China.
Based
the
(UAV),
wind,
temperature,
relative
humidity
(RH),
aerosol
mass
concentration
were
monitored
simultaneously
Lianyungang,
Several
observations
found
after
analyzing
physical
fields
these
data.
results
show
that
concentrations
air
pollutants
during
fog
negatively
correlated
with
horizontal
visibilities.
particulate
matter
increased
rapidly
(After
08:00
BJT
11)
dissipation
stages
(PM2.5
PM10
from
97
150
μg/m3
213
300
μg/m3,
respectively).
Double
temperature
significantly
affected
events,
where
enhancement
lower-level
(where
layer
top
height
was
between
m)
corresponded
explosive
growth
upper-level
layer.
(The
bottom
350
m
600
This
indicates
end
events.
Fog
thicknesses
are
near-surface
thickening
near
surface
corresponds
an
increase
(after
05:00
11
03:00
12)
height.
event
maintained
when
water
vapor
conditions
favorable
enough
or
there
a
deep
but
maintenance
at
intensity
above
2
°C
(100
m)−1
mainly
contributes
durations
Calculations
through
trajectory
model
reveal
pollutant
source
varied
which
main
reason
for
difference
Abstract.
In
this
study,
an
unmanned
aerial
vehicle
(UAV)
platform
with
sensing
and
sampling
systems
was
developed
for
three-dimensional
(3D)
measurements
of
air
pollutant
concentrations.
The
system
contains
multiple
microsensors
Internet
Things
devices
determining
the
3D
distributions
four
critical
pollutants
two
meteorological
parameters
in
real
time.
Moreover,
comprises
remote-controllable
gas
kits,
each
which
a
Tedlar
bag
1
L
measurement
volatile
organic
compound
concentrations
according
to
TO-15
method
US
Environmental
Protection
Agency.
performance
UAV
verified
experiments
where
it
used
detect
emissions
from
large
industrial
zone
Taiwan
that
included
traditional
park,
precision
machinery
municipal
waste
incineration
plant.
Three
locations
were
selected
as
field
sites
prevailing
local
wind
direction.
vertical
pollutants,
ambient
temperature,
relative
humidity
determined
data
gathered
at
aforementioned
March
May
2023.
A
total
56
72
chemical
species
qualitatively
quantitatively
analyzed
these
periods,
respectively.
experimental
results
feasibility
using
proposed
accurately
evaluating
concentration
distribution
transport
zone.
can
be
part
Method
To-15,
thus
extending
measure
VOCs
area.
serve
useful
tool
management
decision-making
process
pollution
areas.
Abstract.
In
this
study,
an
unmanned
aerial
vehicle
(UAV)
platform
with
sensing
and
sampling
systems
was
developed
for
three-dimensional
(3D)
measurements
of
air
pollutant
concentrations.
The
system
contains
multiple
microsensors
Internet
Things
devices
determining
the
3D
distributions
four
critical
pollutants
two
meteorological
parameters
in
real
time.
Moreover,
comprises
remote-controllable
gas
kits,
each
which
a
Tedlar
bag
1
L
measurement
volatile
organic
compound
concentrations
according
to
TO-15
method
US
Environmental
Protection
Agency.
performance
UAV
verified
experiments
where
it
used
detect
emissions
from
large
industrial
zone
Taiwan
that
included
traditional
park,
precision
machinery
municipal
waste
incineration
plant.
Three
locations
were
selected
as
field
sites
prevailing
local
wind
direction.
vertical
pollutants,
ambient
temperature,
relative
humidity
determined
data
gathered
at
aforementioned
March
May
2023.
A
total
56
72
chemical
species
qualitatively
quantitatively
analyzed
these
periods,
respectively.
experimental
results
feasibility
using
proposed
accurately
evaluating
concentration
distribution
transport
zone.
can
be
part
Method
To-15,
thus
extending
measure
VOCs
area.
serve
useful
tool
management
decision-making
process
pollution
areas.
