Land,
Год журнала:
2024,
Номер
13(12), С. 1991 - 1991
Опубликована: Ноя. 22, 2024
Soil
fugitive
dust
(SFD)
is
a
significant
contributor
to
environmental
particulate
matter
(PM),
which
not
only
pollutes
and
affects
air
quality
but
also
poses
risks
human
health.
The
emission
inventory
can
provide
basis
for
the
effective
prevention
control
of
SFD
pollution.
However,
current
inventories
with
low
resolution
frequency
make
it
difficult
assess
emissions
accurately.
Obtaining
monthly
high-resolution
bare
soil
information
one
solutions
compiling
inventories.
Taking
Daxing
District,
Beijing,
as
case
study,
this
study
first
extracted
each
month
2020,
2021,
2022,
respectively,
using
high-spatial-resolution
remote
sensing
satellite
data,
then
constructed
10
m-size
grid
based
on
wind
erosion
equation
by
inputting
vegetation
cover
factor,
meteorological
index.
total
TSP,
PM10,
PM2.5
in
District
from
2020
2022
were
3996.54
tons,
359.26
25.25
respectively.
Temporally,
showed
decreasing
trend
over
years
mainly
concentrated
winter
spring
seasons.
Spatially,
predominantly
southern
northern
areas.
And
PM10
exhibit
significantly
stronger
correlation
speed
extent
area.
Atmosphere,
Год журнала:
2025,
Номер
16(3), С. 331 - 331
Опубликована: Март 15, 2025
The
high-altitude
region
in
northeastern
Türkiye
is
known
as
the
Erzurum–Kars
Plateau.
Ardahan,
Erzurum,
and
Kars
provinces
are
its
most
important
settlements,
established
at
an
altitude
of
approximately
1800
m
on
plateau.
In
this
region,
where
continental
climate
prevails,
relationships
between
PM10
concentration
levels
recorded
2010
2022
meteorological
variables
were
investigated.
During
study,
average
daily
for
winter
seasons
73.3,
76.7,
72.2
µg/m3
respectively.
same
period,
temperature
(and
humidity)
was
determined
−6.9
°C
(75.0%),
−7.1
(82.9%),
−6.3
(75.7%),
respectively,
wind
speed
0.9
m/s,
2.2
1.7
For
these
provinces,
highest
correlation
coefficients
speed)
calculated
−0.47
(−0.36),
−0.49
(−0.60),
−0.52
(−0.54),
while
summer
0.32
(−0.32),
0.39
(−0.35),
0.55
(−0.48),
analysis
performed
using
wavelet
coherence
approach,
it
possible
to
determine
parameters
not
only
annual
cycles,
but
also
seasonal
even
monthly
cycles.
