Characterization of microplastics in outdoor and indoor air in Ranchi, Jharkhand, India: First insights from the region
Environmental Pollution,
Год журнала:
2024,
Номер
346, С. 123543 - 123543
Опубликована: Фев. 15, 2024
Язык: Английский
Application of machine learning (individual vs stacking) models on MERRA-2 data to predict surface PM2.5 concentrations over India
Chemosphere,
Год журнала:
2023,
Номер
340, С. 139966 - 139966
Опубликована: Авг. 25, 2023
Язык: Английский
An Analysis of Primary Contributing Sources to the PM2.5 Composition in a Port City in Canada Influenced by Traffic, Marine, and Wildfire Emissions
Atmospheric Environment,
Год журнала:
2024,
Номер
334, С. 120712 - 120712
Опубликована: Июль 24, 2024
Ambient
air
quality,
specifically
fine
particulate
matter
(PM2.5)
pollution,
poses
a
global
health
concern
due
to
its
associations
with
adverse
effects
and
persistent
presence
in
urban
settings.
This
study
investigates
PM2.5
exposure
traffic-influenced
residential
area
Vancouver,
employing
chemical
speciation
data
sampled
the
vicinity
of
major
road
throughout
2018.
Using
receptor-oriented
models,
Positive
Matrix
Factorization
(PMF),
Principal
Component
Analysis
(PCA),
emission
sources
contributing
total
mass
were
identified.
The
Organic
Elemental
carbon
concentration
time
series
analysis
reveals
impacts
from
traffic
episodic
influences
wildfires
heating.
Applying
PMF,
we
attribute
identified
factors
specific
sources:
(33%),
secondary
aerosols
(27%),
dust
(14%),
Marine
Heavy
Fuel
Combustion
(HFC)
(12%),
Local
(9%),
rare
metallic
elements
(5%),
respectively.
apportioning
is
subsequently
verified
by
PCA,
which
introduces
sea
salt
factor
analysis.
conditional
probability
function
on
integrated
wind
speed
direction,
PM
further
confirms
partial
apportionment
marine
HFC,
elements,
local
factors.
Lastly,
comparing
results
2015
inventory
Vancouver
shows
similarities
share
primary
while
overlooking
emissions
latter,
emphasizing
importance
field
sampling
for
accurate
source
characterization.
highlights
necessity
receptor
modeling
coupled
quantifying
contribution
characteristics
sources,
particularly
near
neighborhoods.
Precise
characterization
aids
studies
that
contribute
informed
quality
management
policy
regulations.
Язык: Английский
Sources of atmospheric light-absorbing fine aerosols: Insights from optical source apportionment utilizing measurements made during COVID-19 lockdowns at a COALESCE network site - Bhopal, India
Atmospheric Environment,
Год журнала:
2024,
Номер
321, С. 120343 - 120343
Опубликована: Янв. 10, 2024
Язык: Английский
Source apportionment of fine aerosol particles of water-soluble and carbonaceous species measured in semi-urban (Kharagpur) and megacity (Kolkata) atmospheres over the eastern indo-Gangetic plain: Chemical characterisation, relative abundance and anthropogenic contributions
The Science of The Total Environment,
Год журнала:
2024,
Номер
932, С. 170795 - 170795
Опубликована: Фев. 10, 2024
Язык: Английский
Long-Term Trends in Water-Soluble Ions in Aerosols at Urumqi Glacier No. 1: Evidence of Increasing Dust and Alkalinity in Central Asia
Atmospheric Environment,
Год журнала:
2025,
Номер
357, С. 121314 - 121314
Опубликована: Май 25, 2025
Язык: Английский
Assessment of stable carbon isotope ratios and source characterization of aerosols in ambient PM2.5 from the Indian COALESCE network
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Июнь 4, 2025
Язык: Английский
Water and Methanol Soluble Aerosol Brown Carbon over Bhopal, central India – Changes in Optical Properties and Radiative Effects during the COVID-19 Lockdowns
Atmospheric Environment,
Год журнала:
2024,
Номер
331, С. 120584 - 120584
Опубликована: Май 17, 2024
Язык: Английский
Spatio‐Temporal Trends of the Relationships Between Surface PM2.5 and Its Chemical Constituents Across Three COALESCE Network Locations in India: A Mass Closure Investigation
Journal of Geophysical Research Atmospheres,
Год журнала:
2024,
Номер
129(8)
Опубликована: Апрель 24, 2024
Abstract
COALESCE,
a
collaborative
network
studying
the
impacts
of
carbonaceous
aerosols,
measured
PM
2.5
mass
and
its
constituents
at
several
regionally
representative
sites
in
India.
This
study
reconciles
reconstructed
(RCM)
from
chemical
with
gravimetric
during
2019
three
COALESCE
(Bhopal,
Mesra,
Mysuru).
To
evaluate
extent
closure,
spatiotemporal
variability
organic
matter/organic
carbon
(OM/OC),
filter
sampling
artifacts
OC,
nitrate,
aerosol
liquid
water
(ALW)
were
assessed.
The
annual
loss
total
particulate
OC
Teflon
filters
varied
across
Bhopal
(0.46–1.35
μg
m
−3
),
Mesra
(0.30–0.92
Mysuru
(0.16–0.68
).
Likewise,
range
nitrate
volatilization
was
0.7–2.7
Bhopal,
0.5–2
1.3–2.2
Mysuru.
Also,
ALW
2.6–6.8
3.2–9.5
0.8–3.8
Seasonality
observed
value
OM/OC
an
increase
pre‐monsoon
season
all
viz.,
(2.20),
(1.61),
(2.02)
compared
to
their
averages,
suggesting
enhanced
contribution
secondary
organics
OC.
method
developed
for
estimating
RCM
this
resulted
better
closure
using
conventional
algorithms.
Overall,
provides
robust
data
validation
strategy
India‐specific
species
coefficients
use
algorithm.
outcomes
can
guide
regional
sampling,
analyses,
model–measurement
reconciliation
efforts.
Язык: Английский
Wintertime Meteorological Influence on Coarse and Fine Particulate Matter at Mesra, Ranchi – Jharkhand India
IOP Conference Series Earth and Environmental Science,
Год журнала:
2024,
Номер
1326(1), С. 012131 - 012131
Опубликована: Июнь 1, 2024
Abstract
The
present
study
primarily
focuses
on
comprehending
the
meteorological
influence
Particulate
Matter
(PM)
of
different
sizes,
PM
10
,
2.5
and
1.0
at
a
regional
site
carbonaceous
aerosol
emissions,
source
Apportionment,
climate
impacts
(COALESCE)
network
in
Mesra,
Ranchi.
mean
concentration
was
120.53
μg
m
−3
98.36
exceeding
daily
limit
100
60
prescribed
by
Central
Pollution
Control
Board
(CPCB).
It
is
first
report
(44.66
)
for
this
region.
Meteorological
parameters
such
as
dry
relative
humidity
(Mean
=
71.30%),
lower
temperatures
15.92°C),
planet
boundary
layer
during
winter
enhance
particle
phase
partitioning.
In
addition,
wind
predominantly
from
Southwest
(SW)
direction,
where
brick
kiln
manufacturing
located,
carrying
particles
to
site.
1
had
strong
correlation
(r
2
0.92),
suggesting
that
form
coagulation
mode
(PM
come
mainly
combustible
sources
coarse
largely
comes
non-combustible
might
have
possible
chemical
relationship.
However,
detailed
apportionment
can
suggest
potential
causes
elevated
concentration.
Язык: Английский