Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions
Progress in Disaster Science,
Journal Year:
2024,
Volume and Issue:
23, P. 100347 - 100347
Published: July 3, 2024
Seismology
is
among
the
ancient
sciences
that
concentrate
on
earthquake
disaster
management
(EQDM),
which
directly
impact
human
life
and
infrastructure
resilience.
Such
a
pivot
has
made
use
of
contemporary
technologies.
Nevertheless,
there
need
for
more
reliable
insightful
solutions
to
tackle
daily
challenges
intricacies
natural
stakeholders
must
confront.
To
consolidate
substantial
endeavors
in
this
field,
we
undertake
comprehensive
survey
interconnected
More
particularly,
analyze
data
communication
networks
(DCNs)
Internet
Things
(IoT),
are
main
infrastructures
seismic
networks.
In
accordance,
present
conventional
innovative
signal-processing
techniques
seismology.
Then,
shed
light
evolution
EQ
sensors
including
acoustic
based
optical
fibers.
Furthermore,
address
role
remote
sensing
(RS),
robots,
drones
EQDM.
Afterward,
highlight
social
media
contribution.
Subsequently,
elucidation
diverse
optimization
employed
seismology
prolonging
presented.
Besides,
paper
analyzes
important
functions
artificial
intelligence
(AI)
can
fulfill
several
areas
Lastly,
guide
how
prevent
disasters
preserve
lives.
Language: Английский
Hydrological low flow and overlapped trend analysis for drought assessment in Western Black Sea Basin
Natural Hazards,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 22, 2024
Language: Английский
Enhancing analyst decisions for seismic source discrimination with an optimized learning model
Geoenvironmental Disasters,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Aug. 8, 2024
Abstract
Sustainable
development
in
urban
areas
requires
a
wide
variety
of
current
and
theme-based
information
for
efficient
management
planning.
In
addition,
researching
the
spatial
distribution
earthquake
(EQ)
clusters
is
an
important
step
reducing
seismic
risks
EQ
losses
through
better
assessment
hazards,
therefore
it
desirable
to
acquire
uncontaminated
database
activity.
Quarry
blasts
(QBs)
conducted
over
mapped
area
have
tainted
seismicity
inventory
northwestern
region
Egypt,
which
focus
this
paper.
Separating
these
QBs
from
EQs
hence
preferable
accurate
risk
assessments.
Consequently,
we
present
highly
effective
ML
model
cleaning
up
database,
allowing
delineation
using
data
single
station,
“
AYT
”,
part
Egyptian
National
Seismic
Network.
The
magnitudes
$$\le
3$$
≤
3
that
are
very
uncertain
as
or
need
significant
amount
time
analyze
primary
model.
order
find
best
way
classify
QBs,
method
looks
at
number
models
before
settling
on
one
eight
features.
results
show
suggested
method,
uses
quadratic
discrimination
analysis
discriminating,
successfully
separates
with
99.4%
success
rate.
Language: Английский
Advancements in Remote Sensing Techniques for Earthquake Engineering: A Review
Earthquake research advances,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100352 - 100352
Published: Dec. 1, 2024
Language: Английский
A Unified Seismicity Catalog Development for Saudi Arabia: Multi-Network Fusion and Machine Learning-Based Anomaly Detection
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(16), P. 7070 - 7070
Published: Aug. 12, 2024
This
investigation
concentrates
on
refining
the
accuracy
of
earthquake
parameters
as
reported
by
various
Saudi
seismic
networks,
addressing
significant
challenges
arising
from
data
discrepancies
in
location,
depth,
and
magnitude
estimations.
The
application
sophisticated
machine
learning
techniques,
particularly
Isolation
Forest
algorithm,
has
markedly
enhanced
precision
estimation
seismicity
effectively
identifying
eliminating
outliers
discrepancies.
A
newly
developed
refined
catalog
was
employed
to
accurately
determine
key
such
completeness
(Mc),
a-value,
b-value,
thereby
underlining
their
indispensable
role
regional
hazard
assessment.
research
underscores
substantial
impact
inconsistencies
evaluation
hazards,
advocating
for
advancement
methodologies
within
field
seismotectonics.
insights
derived
this
study
significantly
contribute
a
more
profound
understanding
seismotectonic
processes
region.
These
are
crucial
development
comprehensive
assessments
formulation
targeted
preparedness
strategies,
enhancing
resilience
against
risks
Language: Английский