Forests,
Год журнала:
2024,
Номер
15(7), С. 1266 - 1266
Опубликована: Июль 20, 2024
Fire
is
a
prevalent
hazard
that
poses
significant
risk
to
public
safety
and
societal
progress.
The
continuous
expansion
of
densely
populated
urban
areas,
exacerbated
by
global
warming
the
increasing
intensification
heat
islands,
has
led
notable
increase
in
frequency
severity
fires
worldwide.
Incorporating
measures
withstand
different
types
calamities
always
been
crucial
aspect
infrastructure.
Well-designed
plant
communities
play
pivotal
role
as
component
green
space
systems
addressing
climate-related
challenges,
effectively
mitigating
occurrence
spread
fires.
This
study
conducted
field
research
on
21
sites
belt
around
Shanghai,
China,
quantifying
tree
morphological
indexes
coordinate
positions.
spatial
structure
attributes
were
analyzed
principal
analysis,
CRITIC
weighting
approach,
stepwise
regression
analysis
build
comprehensive
fire
resistance
prediction
model.
Through
this
research,
relationship
between
community
structures
was
explored.
A
systematic
construction
model
based
for
undertaken,
performance
could
be
quickly
judged
easily
measured
indexes,
providing
valuable
insights
dynamic
resistance.
According
evaluation
ranking
model,
Celtis
sinensis,
Sapindus
saponaria,
Osmanthus
fragrans,
Koelreuteria
paniculata,
Distylium
racemosum
+
Populus
euramericana
‘I-214’
exhibited
high
level
On
other
hand,
bipinnata
Ligustrum
lucidum,
Ginkgo
biloba
Camphora
officinarum
lucidum
saponaria
obtained
lower
scores
positioned
ranking.
It
emphasized
integration
monitoring
regulation
essential
ensure
ecological
integrity
well-being
areas
Wildland–Urban
Interface.
Proceedings of the National Academy of Sciences,
Год журнала:
2023,
Номер
120(51)
Опубликована: Дек. 13, 2023
Dimensionality
reduction
simplifies
high-dimensional
data
into
a
small
number
of
representative
patterns.
One
dimensionality
method,
principal
component
analysis
(PCA),
often
selects
oscillatory
or
U-shaped
patterns,
even
when
such
...Principal
(PCA)
is
method
that
known
for
being
simple
and
easy
to
interpret.
Principal
components
are
interpreted
as
low-dimensional
patterns
in
space.
However,
this
...
Environmental Research Letters,
Год журнала:
2022,
Номер
17(4), С. 045014 - 045014
Опубликована: Март 9, 2022
Abstract
Increasing
fire
impacts
across
North
America
are
associated
with
climate
and
vegetation
change,
greater
exposure
through
development
expansion,
less-well
studied
but
salient
social
vulnerabilities.
We
at
a
critical
moment
in
the
contemporary
human-fire
relationship,
an
urgent
need
to
transition
from
emergency
response
proactive
measures
that
build
sustainable
communities,
protect
human
health,
restore
use
of
necessary
for
maintaining
ecosystem
processes.
propose
integrated
risk
factor
includes
smoke
hazard,
exposure,
vulnerability
as
method
identify
‘fires
matter’,
is,
fires
have
potentially
devastating
on
our
communities.
This
approach
enables
pathways
delineate
prioritise
science-informed
planning
strategies
most
likely
increase
community
resilience
fires.
Due
to
the
associated
fire
risk,
wildland–urban
interface
(WUI)
has
drawn
attention
of
researchers
and
managers
from
a
range
backgrounds.
From
land
management
point
view,
it
is
important
identify
WUI
determine
areas
prioritise
for
risk
prevention.
It
also
know
mitigation
measures
available
select
most
appropriate
each
specific
context.
In
this
systematic
review,
definitions
were
investigated
physical
reducing
examined
perspective.
The
PRISMA
2020
Statement
was
applied
records
published
until
31
December
2022
retrieved
Web
Science,
Scopus,
other
research
engines.
A
total
162
publications
scientific
journals
grey
literature
scrutinised
selected
analysis.
Only
providing
an
original
definition
or
proposing
reduce
at
retained,
while
those
relating
emergency
social
perception
not
considered.
bias
reduced
by
internal
cross-assessment
team.
Definitions
(n
=
40
publications)
changed
according
objective,
varying
broadly
in
identification
anthropogenic
wildland
components
interface.
Terminology
varied
definition,
term
wildland–human
(WHI)
found
be
more
comprehensive
than
WUI.
Methodological
ranged
using
aggregated
data
through
buildings
with
considerable
precision.
Five
categories
128
identified:
clearance
distances,
landscaping,
fuel
management,
planning,
design
materials.
effective
early
stages
urban
development,
maintenance
assets
vegetation
crucial
preparedness.
This
review
represents
analysis
evidence
on
which
can
base
their
actions
hazard
number
studies
investigating
considerable,
but
experimental
quantitative
results
are
scarce,
better
communication
coordination
among
groups
agencies
advisable.
registered.
Natural Hazards,
Год журнала:
2024,
Номер
120(5), С. 4901 - 4924
Опубликована: Янв. 31, 2024
Abstract
Increased
wildfire
activity
has
raised
concerns
among
communities
about
how
to
assess
and
prepare
for
this
threat.
There
is
a
need
hazard
assessment
approaches
that
capture
local
variability
inform
decisions,
produce
results
understood
by
the
public,
are
updatable
in
timely
manner.
We
modified
an
existing
approach
decadal
hazards
based
primarily
on
ember
dispersal
proximity,
referencing
landscape
changes
from
1984
through
2014.
Our
modifications
created
categorical
flammability
scheme,
rather
than
dichotomous,
integrated
exposure
across
spatial
scales.
used
remote
sensed
land
cover
four
historical
points
create
maps
three
arctic
(Anchorage
Fairbanks,
Alaska
Whitehorse,
Yukon).
Within
Fairbanks
study
area,
we
compared
2014
hazard,
exposure,
FlamMap
burn
probabilities
burned
(2014–2023)
unburned
areas.
Unlike
probabilities,
there
were
significantly
higher
values
locations
(Wilcoxon;
p
<
0.001)
rose
as
classes
increased
(Kruskal–Wallis;
0.001).
Very
high
class
supported
75%
of
areas
burns
tended
occur
with
60%
or
greater.
Areas
more
prone
thus
desirable
mitigation
actions.
By
working
practitioners
communities,
tool
rapidly
assesses
easily
help
identify
prioritize
activities.
Natural hazards and earth system sciences,
Год журнала:
2024,
Номер
24(4), С. 1521 - 1537
Опубликована: Май 2, 2024
Abstract.
Wildland–urban
interface
(WUI)
regions
are
particularly
vulnerable
to
wildfires
due
their
proximity
both
nature
and
urban
developments,
posing
significant
risks
lives
property.
To
enhance
our
understanding
of
the
risk
profiles
in
WUI
areas,
we
analysed
seven
fire
case
studies
central
Chile.
We
developed
a
mixed-method
approach
for
conducting
local-scale
analyses,
which
involved
field
surveys,
remote-sensing
through
satellite
drone
imagery,
GIS-based
analysis
collected
data.
The
methodology
led
generation
georeferenced
dataset
damaged
undamaged
dwellings,
including
16
variables
representing
physical
characteristics,
spatial
arrangement,
availability
suppression
resources.
A
binary
classification
model
was
then
used
assess
relative
importance
these
attributes
as
indicators
vulnerability.
revealed
that
arrangement
factors
have
greater
impact
on
damage
prediction
than
structural
conditions
preparedness
individual
units.
Specifically,
such
dwelling
neighbours,
distance
vegetation,
border
groups,
from
origin
substantially
contribute
damage.
Other
associated
with
less
affluent
homes
may
also
increase
likelihood
damage,
although
further
data
required
confirmation.
This
study
provides
insights
design,
planning,
governance
areas
Chile,
aiding
development
mitigation
strategies
built
structures
broader
territorial
area.
International Journal of Wildland Fire,
Год журнала:
2022,
Номер
32(2), С. 296 - 312
Опубликована: Дек. 22, 2022
Background
Buildings
in
communities
near
wildlands,
the
wildland–urban
interface
(WUI),
can
experience
wildfire
damage.
Aims
To
quantitatively
assess
relationship
between
building
features
and
damage,
a
resistance
index
is
developed
validated
with
2013–2017
CAL
FIRE
(DINS)
database
from
California,
USA,
2017
Pedrógão
Grande
Fire
Complex
post-fire
investigation
Portugal.
Methods
Three
statistical
dependence
tests
are
compared
to
evaluate
selected
The
Wildfire
Resistance
Index
(WRI),
range:
[–1,
1],
proposed
as
rating
for
susceptibility.
Key
results
most
correlated
damage
presence
of
vent
screens
deck
materials
exterior
walls
material
For
Portugal,
WRI
increases
by
50%,
linear
regression
estimates
48%
decrease
proportion
highly
damaged
buildings,
42%
increase
low
buildings
(R2
0.93
0.90,
respectively).
A
total
65%
California
=
1
were
destroyed,
average
85%
≥−0.33.
Conclusions
quantifies
experienced
two
diverse
WUI
regions.
Implications
could
be
used
an
estimator
but
it
needs
further
development.
International Journal of Wildland Fire,
Год журнала:
2022,
Номер
31(6), С. 586 - 598
Опубликована: Май 17, 2022
Despite
the
intensity
of
2018
Camp
Fire,
many
structures
survived
in
heavily
burned
areas.
Logistic
regressions
were
run
to
determine
which
structural
and
parcel
characteristics
predicted
structure
survival
using
two
data
sets.
The
first,
CAL
FIRE’s
Damage
Inspections
(DINS)
dataset,
included
14
518
destroyed
622
partially
damaged
structures.
second,
combining
information
from
DINS
Defensible
Space
(DINS+DSPACE)
databases,
had
more
attributes
was
better
balanced
between
(n
=
728)
surviving
676)
structures,
but
much
smaller.
Several
approaches
compared
for
filtering
out
records
with
null
values.
Results
largely
consistent
previously
literature,
finding
that
hardness
factors
(e.g.
double-paned
windows,
enclosed
eaves,
ignition-resistant
roofs
siding,
no
vents,
etc.)
are
important
determining
survival.
Newer
built
after
California’s
recent
(2005
2007)
fire
safe
building
code
updates,
likely
survive,
as
homes
higher
improvement
Mobile
far
be
destroyed.
role
fuel
mitigation
around
less
conclusive;
defensible
space
clearance
only
a
weak
association
survival,
although
DINS+DSPACE
results
suggested
slight
reduction
risk
due
removing
leaves
needles
gutters/roofs
keeping
surrounding
dead
grass
mowed.
Land,
Год журнала:
2024,
Номер
13(8), С. 1125 - 1125
Опубликована: Июль 24, 2024
In
recent
decades,
the
increasing
frequency
of
urban
fires,
driven
by
functional
enhancements
and
climate
change,
has
posed
a
growing
threat
to
metropolitan
sustainability.
This
study
investigates
temporal
spatial
characteristics
fire
incidents
in
Shanghai
from
2019
2023.
Using
satellite
point
data
official
government
records,
kernel
density
analysis
wavelet
were
employed
analyze
time
series
distribution
data.
Subsequently,
eleven
primary
factors
influencing
occurrence
identified,
encompassing
probability,
regional
characteristics,
hazard
sources.
A
combined
methodology
subjective
objective
weights
with
game
theory
was
used
generate
risk
assessment
at
1
×
km2
grid
scale.
Furthermore,
assessments
analyzed.
The
results
reveal
that
downtown
area
exhibits
highest
intensity
fires
terms
domain,
decreasing
towards
suburbs.
Temporally,
demonstrates
significant
periodicity
an
18a
scale,
while
clear
seasonal
fluctuations
are
observed
16-22a
higher
occurrences
spring
winter.
identifies
typical
aggregation
patterns
high-risk
centers
Shanghai.
Considering
impact
change
human
activities,
areas
may
gradually
expand
adjacent
suburbs,
presenting
concerning
future
scenario.
By
examining
dual
attributes
“combustibles
fireproof
space”
within
greening
systems,
this
research
offers
recommendations
for
strategies
disaster
prevention
mitigation
green
systems