Processes,
Journal Year:
2023,
Volume and Issue:
11(3), P. 704 - 704
Published: Feb. 26, 2023
Satellite
top-of-atmosphere
(TOA)
reflectance
has
been
validated
as
an
effective
index
for
estimating
PM2.5
concentrations
due
to
its
high
spatial
coverage
and
relatively
resolution
(i.e.,
1
km).
For
this
paper,
we
developed
emsembled
random
forest
(RF)
model
incorporating
satellite
with
four
categories
of
supplemental
parameters
derive
the
in
region
Yangtze
River
Delta-Fujian
YRD-FJ)
located
east
China.
The
landscape
pattern
indices
at
two
levels
type
level
overall
level)
retrieved
from
3-year
land
classification
imageries
2016,
2018,
2020)
were
used
discuss
correlation
between
county-based
values
pattern.
We
achieved
a
cross
validation
R2
0.91
(RMSE
=
9.06
μg/m3),
0.89
10.19
0.90
8.02
μg/m3)
estimated
observed
2020,
respectively.
distribution
RF
showed
trend
year-on-year
decrease
“Jiangsu
>
Shanghai
Zhejiang
Fujian”
YRD-FJ
region.
Our
results
also
revealed
that
farmland,
water
bodies,
construction
exhibited
highly
positive
relationship
average
values,
r
coefficients
reached
0.74
while
was
negatively
correlated
(r
0.84).
There
significant
shrubs
0.53),
grass
0.76),
bare
0.60)
region,
Three
positively
0.80),
indicating
large
fragmentation,
edge
density,
diversity
would
raise
pollution
study
Environment International,
Journal Year:
2023,
Volume and Issue:
174, P. 107889 - 107889
Published: March 21, 2023
In
the
context
of
serious
urban
air
pollution
and
limited
land
resources,
it
is
important
to
understand
environmental
value
ecological
land.
Previous
studies
focused
mostly
on
effectiveness
a
particular
type
green
space
or
total
amount
PM2.5
have
rarely
analyzed
association
between
structure
systematically
quantitatively.
Therefore,
we
took
277
cities
in
China
as
an
example,
comprehensively
compared
results
different
models,
selected
spatial
Durbin
model
using
time-fixed
effects
dissect
degree
influence
types
within
PM2.5.
The
use
was
closely
related
PM2.5,
higher
proportion
was,
lower
direction
functions
differed,
with
forests,
shrubs,
grasslands
causing
weakening
impact
while
wetlands
waters
did
not
role.
reduction
by
single
significantly
smaller
than
that
composite
Green
should
be
considered,
designed
adjusted
planning
continuously
optimize
structure,
increase
landscape
diversity
maximize
benefits.
findings
this
study
help
exploring
under
goal-oriented
control
provide
theoretical
reference
decision-making
support
for
formulating
precise
policies
optimizing
development
national
Environmental Science & Technology,
Journal Year:
2023,
Volume and Issue:
57(35), P. 13025 - 13035
Published: Aug. 22, 2023
Exposure
to
fine
particulate
matter
(PM
<
2.5
μm
in
diameter
[PM2.5])
may
accelerate
human
sperm
quality
decline,
although
research
on
this
association
is
limited.
Our
objective
was
investigate
the
relationship
between
exposure
chemical
constituents
of
PM2.5
air
pollution
and
decreased
further
explore
exposure-response
relationship.
We
conducted
a
multicenter
population-based
cohort
study
including
78,952
semen
samples
from
33,234
donors
at
6
provincial
banks
(covering
central,
northern,
southern,
eastern,
southwestern
parts
China)
2014
2020.
Daily
composition
estimated
using
deep
learning
model
integrating
density
ground-based
measure
network
1
km
resolution.
Linear
mixed
models
with
subject-
center-specific
intercepts
were
used
quantify
harmful
impacts
their
relationships.
Per
interquartile
range
(IQR)
increase
levels
during
spermatogenesis
significantly
associated
concentration,
progressive
motility,
total
motility.
For
constituents,
per
IQR
increment
Cl-
(β:
-0.02,
95%
CI:
[-0.03,
-0.00])
NO3-
-0.05,
[-0.08,
-0.02])
negatively
count,
while
NH4+
-0.03,
[-0.06,
linked
These
results
suggest
that
adversely
affect
quality,
highlighting
urgent
need
reduce
exposure.
International Journal of Disaster Risk Reduction,
Journal Year:
2024,
Volume and Issue:
101, P. 104236 - 104236
Published: Jan. 2, 2024
In
the
face
of
increasing
flood
risks
and
need
for
effective
management
both
at
national
local
levels,
this
study
highlights
a
participatory
approach
that
transcends
conventional
stakeholder
consultation
but
delves
into
drawing
insights
through
conceptual
models
unveil
potential
Participatory
System
Dynamic
Modelling
to
mitigate
risks,
even
grassroots
level
effectively.
Through
active
engagement,
focuses
on
identifying
analysing
intricate
interdependencies
feedback
loops
within
Limbe
risk
system
are
crucial
recommending
comprehensive
actionable
mitigation
strategies
Limbe's
cross-sectoral
dynamics.
By
including
experts
community
stakeholders
in
model
construction,
utilises
an
evaluative
framework
accounts
processes
outcomes,
ensuring
holistic
understanding
system,
considering
scientific
knowledge
real-life
experiences.
The
findings
underscore
value
modelling
techniques
facilitating
identification
prioritisation
intervention
options
by
diverse
stakeholders,
thereby
promoting
engagement
management,
vital
step
addressing
escalating
challenges
posed
climate
change
natural
disasters.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(15), P. 3826 - 3826
Published: July 31, 2023
Establishing
an
efficient
PM2.5
prediction
model
and
in-depth
knowledge
of
the
relationship
between
predictors
in
are
great
significance
for
preventing
controlling
pollution
policy
formulation
Yangtze
River
Delta
(YRD)
where
there
is
serious
air
pollution.
In
this
study,
spatial
pattern
concentration
YRD
during
2003–2019
was
analyzed
by
Hot
Spot
Analysis.
We
employed
five
algorithms
to
train,
verify,
test
17
years
data
YRD,
we
explored
drivers
exposure.
Our
key
results
demonstrated:
(1)
High
concentrated
western
northwestern
regions
remained
stable
years.
Compared
2003,
increased
10–20%
southeast,
southwest,
2019.
The
hot
spot
percentage
change
mostly
located
southwest
southeast
2019,
while
interannual
showed
a
changeable
distribution
pattern.
(2)
Geographically
Weighted
Random
Forest
(GWRF)
has
advantages
predicting
presence
comparison
with
other
models.
GWRF
not
only
improves
performance
RF,
but
also
spatializes
interpretation
variables.
(3)
Climate
human
activities
most
important
concentration.
Drought,
temperature,
temperature
difference
critical
potentially
threatening
climatic
factors
increase
expansion
YRD.
With
warming
drying
trend
worldwide,
finding
can
help
policymakers
better
consider
these
prediction.
Moreover,
effect
interference
from
humans
on
ecosystems
will
again
after
COVID-19,
leading
rise
strong
explanatory
power
comprehensive
ecological
indicators
be
crucial
indicator
worthy
consideration
decision-making
departments.
