How Does the Location of Power Plants Impact Air Quality in the Urban Area of Bucharest?
Atmosphere,
Год журнала:
2025,
Номер
16(6), С. 636 - 636
Опубликована: Май 22, 2025
This
study
investigates
the
impact
of
a
thermal
power
plant
site
on
air
quality
in
Bucharest,
Romania.
It
emphasizes
importance
accurate
pollutant
inmission
measurements
urban
areas
by
utilizing
mobile
low-cost
sensors,
Copernicus’
Copernicus
Atmosphere
Monitoring
Service
(CAMS)
and
Land
(CLMS),
satellite
retrieval
to
better
understand
climate
change
drivers
their
potential
near-
surface
concentrations
column
densities
NO2,
CO,
PM
(particulate
matter).
focuses
attention
need
considering
placement
plants
relation
metropolitan
while
making
this
assessment.
The
research
highlights
limits
typical
mesoscale
models
effectively
capturing
pollution
dispersion
distribution
using
LUR
(Land
Use
Regressions)
retrievals.
authors
investigate
variety
ways
areas,
including
observations,
measurements,
land
use
regression
models.
largely
capital
Romania,
which
has
issues
caused
vehicle
traffic,
industrial
activity,
heating
systems,
plants.
results
indicate
how
may
affects
nearby
residential
areas.
Язык: Английский
Combustion-driven inorganic nitrogen in PM2.5 from a city in central China has the potential to enhance the nitrogen load of North China
Journal of Hazardous Materials,
Год журнала:
2024,
Номер
483, С. 136620 - 136620
Опубликована: Ноя. 22, 2024
Язык: Английский
Spatial Patterns and Determinants of PM2.5 Concentrations: A Land Use Regression Analysis in Shenyang Metropolitan Area, China
Sustainability,
Год журнала:
2024,
Номер
16(12), С. 5119 - 5119
Опубликована: Июнь 16, 2024
Identifying
impact
factors
and
spatial
variability
of
pollutants
is
essential
for
understanding
environmental
exposure
devising
solutions.
This
research
focused
on
PM2.5
as
the
target
pollutant
developed
land
use
regression
models
specific
to
Shenyang
metropolitan
area
in
2020.
Utilizing
Least
Absolute
Shrinkage
Selection
Operator
approach,
were
all
seasons
annual
average,
explaining
62–70%
concentrations.
Among
predictors,
surface
pressure
exhibited
a
positive
correlation
with
concentrations
throughout
most
year.
Conversely,
both
elevation
tree
cover
had
negative
effects
levels.
At
2000
m
scale,
landscape
aggregation
decreased
levels,
while
at
larger
scale
(5000
m),
splitting
facilitated
dispersion.
According
partial
R2
results,
vegetation-related
types
significant,
shrubland
proportion
positively
correlated
local-scale
spring.
Bare
vegetation
areas
primary
factor
autumn,
whereas
mitigating
effect
contrasted
this
trend,
even
winter.
The
NDVI,
an
index
used
assess
growth,
was
not
determined
be
influencing
factor.
findings
reaffirm
function
reducing
PM2.5.
Based
research,
actionable
strategies
pollution
control
outlined
promote
sustainable
development
region.
Язык: Английский