Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 6, 2023
Abstract
It
is
widely
considered
that
weather
conditions
affect
the
spread
of
COVID-19,
but
to
date,
collective
influence
demographic
factors
and
government
policy
response
measures
have
hardly
been
considered.
The
objective
this
study
utilize
a
machine
learning
method
assess
corresponding
roles
meteorological
variables,
factors,
in
daily
new
cases
COVID-19
among
multiple
climate
zones
at
city/county
level.
overall
model
showed
good
performance
with
validated
R
2
0.86,
as
satisfactory
individual
zone
models.
Population
density
ranked
most
important
factor,
followed
by
variables
measures.
Ultraviolet
radiation
temperature
dominated
association
seemed
be
inconsistent
different
zones.
Implementing
stricter
could
help
effectively
contain
did
so
lagged
effect,
typical
lockdown
might
not
applicable
all
conditions.
This
preliminarily
analyzed
certain
transmission
provided
practical
evidence
for
developing
an
early
health
warning
system
global
pandemics
leveraging
big
data
technology
sourced
fusion.
Scientific Reports,
Journal Year:
2022,
Volume and Issue:
12(1)
Published: June 30, 2022
Abstract
Despite
the
very
restrictive
laws,
Krakow
is
known
as
city
with
highest
level
of
air
pollution
in
Europe.
It
has
been
proven
that,
due
to
its
location,
pollutants
are
transported
this
from
neighboring
municipalities.
In
study,
a
complex
geostatistical
approach
for
spatio-temporal
analysis
particulate
matter
(PM)
concentrations
was
applied.
For
background
noise
reduction,
data
were
recorded
during
COVID-19
lockdown
using
100
low-cost
sensors
and
validated
based
on
indications
reference
stations.
Standardized
Geographically
Weighted
Regression,
local
Moran’s
I
spatial
autocorrelation
analysis,
Getis–Ord
Gi*
statistic
hot-spot
detection
Kernel
Density
Estimation
maps
used.
The
results
indicate
relation
between
topography,
meteorological
variables,
PM
concentrations.
main
factors
wind
speed
(even
if
relatively
low)
terrain
elevation.
study
PM2.5/PM10
ratio
allowed
detailed
migration,
including
source
differentiation.
This
research
indicates
that
Krakow’s
unfavorable
location
makes
it
prone
accumulating
neighborhood.
investigated
period
solid
fuel
heating
outside
city.
shows
importance
variability
analyzed
factors’
influence
inflow
outflow
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 6, 2024
Abstract
High
particulate
matter
(PM)
concentrations
have
a
negative
impact
on
the
overall
quality
of
life
and
health.
The
annual
trends
PM
can
vary
greatly
depending
factors
such
as
country’s
energy
mix,
development
level,
climatic
zone.
In
this
study,
we
aimed
to
understand
cycle
in
moderate
climate
zone
using
dense
grid
low-cost
sensors
located
central
Europe
(Krakow).
Over
one
million
unique
records
PM,
temperature,
humidity,
pressure
wind
speed
observations
were
analyzed
gain
detailed,
high-resolution
understanding
yearly
fluctuations.
comprehensive
big-data
workflow
was
presented
with
statistical
analysis
meteorological
factors.
A
big
data-driven
approach
revealed
existence
two
main
seasons
(warm
cold)
Europe’s
zone,
which
do
not
correspond
directly
traditional
four
(Autumn,
Winter,
Spring,
Summer)
side
periods
(early
spring
early
winter).
Our
findings
also
highlighted
importance
time
space
data
for
sustainable
spatial
planning.
allowed
distinguishing
whether
source
air
pollution
is
related
coal
burning
heating
cold
period
or
agricultural
lands
during
warm
period.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 1, 2024
Abstract
The
evaluation
of
Weather
Research
and
Forecasting
(WRF)
model
has
been
performed
for
simulating
episodic
Heat
Wave
(HW)
events
2015
2016
with
varied
horizontal
resolutions
27
km
the
entire
India
(d01),
9
North
West
(NW
(d02))
South
East
(SE
(d03))
domain.
Study
compares
maximum
temperature
(T
max
)
simulated
by
WRF
model,
using
six
different
combination
parameterization
schemes,
observations
from
Meteorological
Department
(IMD)
during
HW
events.
Among
experiments,
Exp2
(i.e.,
WSM6
microphysics
(MP)
together
radiation
CAM,
Yonsei
(PBL),
NOAH
land
surface
Grell-3D
convective
schemes)
is
found
closest
to
in
reproducing
temperature.
exhibits
an
uncertainty
±
2
°C
both
regions,
suggesting
regional
influenced
location
complex
orography.
Overall,
statistical
results
reveal
that
best
performance
achieved
Exp2.
Further,
understand
dynamics
rising
intensity,
two
case
studies
days
along
influencing
parameters
like
T
,
RH
prevailing
wind
distribution
have
simulated.
Model
reaches
up
44
NW
SE
part
India.
In
2016,
more
towards
NW,
while
region
upto
34–38
high
(60–85%).
comparative
research
made
it
abundantly
evident
these
are
unique
terms
duration
geographical
spread
which
can
be
used
assess
future
projections
HW.
