Aerosol and Air Quality Research,
Journal Year:
2022,
Volume and Issue:
22(9), P. 210262 - 210262
Published: Jan. 1, 2022
Due
to
COVID-19
countermeasures,
air
quality
temporarily
improved
in
several
countries
around
the
world,
especially
urban
areas.
This
study
investigates
predominantly
changes
concentration
levels
of
pollutants
(PM10
and
PM2.5)
Republic
Slovenia
during
year
2020,
which
was
marked
by
lockdowns.
In
this
study,
data
for
2020
were
divided
into
four
periods,
i.e.
period
before
(1
January–11
March
2020),
first
lockdown
(12
March–31
May
after
June–17
October
second
(18
October–31
December
2020).
The
obtained
from
25
ground-based
nationwide
stations,
subdivided
further
traffic
background
sites.
For
comparison,
2018
2019
evaluated
as
well.
Our
findings
indicate
that
restrictions
had
a
moderate
indirect
impact
on
PM10
PM2.5
concentrations,
more
evident
at
monitoring
sites
near
locations.
results
additionally
supported
providing
t-
F-
statistical
tests.
meteorological
conditions
(wind
speed,
temperature,
relative
humidity,
precipitation)
also
studied.
show
that,
most
significant
decrease
PM
compared
found
lockdown,
while
precipitation
not
significantly
different
between
years
time.
Environmental Research,
Journal Year:
2021,
Volume and Issue:
203, P. 111930 - 111930
Published: Aug. 21, 2021
In
June
2020,
we
published
a
review
focused
on
assessing
the
influence
of
various
air
pollutants
transmission
SARS-CoV-2,
and
severity
COVID-19
in
patients
infected
by
coronavirus.
The
results
most
those
reviewed
studies
suggested
that
chronic
exposure
to
certain
might
lead
more
severe
lethal
forms
COVID-19,
as
well
delays/complications
recovery
patients.
Since
then,
notable
number
this
topic
have
been
published,
including
also
reviews.
Given
importance
issue,
updated
information
since
our
previous
review.
Taking
together
investigations
now
reviewed,
concluded
there
is
significant
association
between
outdoor
pollutants:
PM
Ecotoxicology and Environmental Safety,
Journal Year:
2023,
Volume and Issue:
253, P. 114665 - 114665
Published: Feb. 28, 2023
The
rapid
expansion
of
urbanization
has
resulted
in
an
insufficient
groundwater
resource.
In
order
to
use
more
efficiently,
a
risk
assessment
pollution
should
be
proposed.
present
study
used
machine
learning
with
three
algorithms
consisting
Random
Forest
(RF),
Support
Vector
Machine
(SVM),
and
Artificial
Neural
Network
(ANN)
locate
areas
arsenic
contamination
Rayong
coastal
aquifers,
Thailand
selected
the
suitable
model
based
on
performance
uncertainty
for
assessment.
parameters
653
wells
(Deep=236,
Shallow=417)
were
correlation
each
hydrochemical
concentration
deep
shallow
aquifer
environments.
models
validated
collected
from
27
well
data
field.
model's
indicated
that
RF
algorithm
highest
as
compared
those
SVM
ANN
both
aquifers
(Deep:
AUC=0.72,
Recall=0.61,
F1
=0.69;
Shallow:
AUC=0.81,
Recall=0.79,
=0.68).
addition,
quantile
regression
confirmed
lowest
PICP=0.20;
PICP=0.34).
result
map
obtained
reveals
aquifer,
northern
part
basin
higher
people
expose
As.
contrast,
revealed
southern
risk,
which
is
also
supported
by
location
landfill
industrial
estates
area.
Therefore,
health
surveillance
important
monitoring
toxic
effects
residents
who
these
contaminated
wells.
outcome
this
can
help
policymakers
regions
manage
quality
resources
enhance
sustainable
resources.
novelty
process
research
further
other
increase
effectiveness
management.
AIMS environmental science,
Journal Year:
2022,
Volume and Issue:
9(6), P. 771 - 800
Published: Jan. 1, 2022
<abstract>
<p>The
emergence
of
the
Internet
Things
(IoT)
has
brought
a
revolution
in
global
communication
network
technology.
It
acquired
many
day-to-day
applications
healthcare,
education,
agriculture,
etc.
In
addition,
IoT
also
had
significant
impact
field
environmental
monitoring.The
factors
healthy
environment
are
air
quality,
water
pollution,
and
waste
management,
where
world's
population
can
live
securely.
Monitoring
is
necessary
for
us
to
achieve
sustainability.
As
monitoring
technology
advanced
recent
years,
systems
have
evolved
from
essential
remote
an
(AEM)
system,
incorporating
sophisticated
sensor
modules.The
present
manuscript
aims
accomplish
critical
review
noteworthy
contributions
research
studies
about
systems,
which
involve
management.The
rapid
growth
exhaustion
natural
resources,
coupled
with
increasing
unpredictability
conditions,
lead
concerns
worldwide
food
security,
warming,
overflowing.
Automating
tasks
building
environment,
based
on
application,
meant
eliminate
problems
traditional
approach.
This
study
examine
evaluate
numerous
involving
air,
water,
waste,
overall
as
well
their
effect
environment.
article
categorizes
purposes,
techniques,
findings.
paper
examines
through
technology,
IoT,
machine
learning.</p>
</abstract>
Frontiers in Public Health,
Journal Year:
2021,
Volume and Issue:
9
Published: July 6, 2021
This
mini-review
aims
to
highlight
both
the
positive
and
negative
relationship
between
COVID-19
air
pollution
climate
change
based
on
current
studies.
Since,
opened
a
bibliographic
door
scientific
production,
so
there
was
limit
research
at
moment.
There
were
two
sides
change.
The
associated
with
change,
in
particular,
defines
very
loosely.
Many
studies
have
revealed
correlation
each
pollutants,
while
some
shown
correlation.
few
that
focused
terms
of
climate.
Meanwhile,
many
explained
meteorological
factors
instead.
