Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
369, P. 122343 - 122343
Published: Sept. 3, 2024
In
the
context
of
a
global
shift
towards
low-carbon
energy
systems,
this
paper
provides
an
in-depth
analysis
deep-sea
mining's
(DSM)
potential
role
in
enhancing
security.
Addressing
growing
demand
for
critical
minerals
essential
clean
technologies,
electric
vehicles
(EVs),
and
storage
examines
how
DSM
can
diversify
mineral
supply
reduce
reliance
on
geopolitically
sensitive
sources.
It
explores
DSM's
capacity
to
recalibrate
prices,
influence
competitive
landscape
geopolitical
dynamics.
The
delves
into
multi-faceted
impacts
security,
including
shifts,
chain
diversification,
environmental
trade-offs.
By
providing
holistic
view
that
links
security
sustainable
transitions,
study
extends
beyond
prior
research
focused
mainly
technical
aspects
DSM.
findings
illustrate
intersection
with
international
politics,
its
effect
pricing
strategies,
balance
between
resource
exploitation
stewardship.
Strategic
policy
recommendations
are
offered
optimize
benefits
while
minimizing
ecological
impacts,
aligning
emerging
industry
sustainability
goals.
addition
identifying
challenges,
proposes
actionable
solutions,
contributing
unique
perspective
discourse
Water,
Journal Year:
2024,
Volume and Issue:
16(16), P. 2273 - 2273
Published: Aug. 12, 2024
Addressing
the
difficult
problem
of
predicting
height
water-conducting
fracture
zones
in
shallow
and
thin
coal
seams,
a
prediction
model
water-conduction
based
on
backpropagation
(BP)
neural
network
was
developed
by
integrating
theoretical
analysis,
field
measurements,
algorithmic
advancements.
Firstly,
through
overburden
migration
analysis
correlation
tests,
index
system
zone
determined.
This
includes
mining
height,
buried
depth,
dip
angle,
working
face
width,
rock
lithology,
with
five
groups
characteristic
parameters.
Then,
35
pairs
minefield-measured
data
were
collected
to
establish
measured
set
zone.
Secondly,
BP
traditional
support
vector
regression
(SVR)
constructed
Pytorch
framework,
models
trained
tested
selecting
sets.
Thirdly,
optimal
determined
comparing
empirical
multiple
regulations
for
pillar
maintenance
pressure
buildings,
water
bodies,
railways,
main
shafts.
Finally,
typical
mine
selected
application
verify
suitability
model.
The
results
show
that:
(1)
predicted
value
is
consistent
change
trend
value,
which
accords
law;
(2)
compared
forecasting
methods,
error
stable
effect
best;
(3)
dropout
can
effectively
mitigate
mitigation
training
overfitting,
achieve
regularization,
improve
accuracy;
(4)
further
verified
that
best
extremely
research
provide
technical
guidance
similar
fragile
seams.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
369, P. 122343 - 122343
Published: Sept. 3, 2024
In
the
context
of
a
global
shift
towards
low-carbon
energy
systems,
this
paper
provides
an
in-depth
analysis
deep-sea
mining's
(DSM)
potential
role
in
enhancing
security.
Addressing
growing
demand
for
critical
minerals
essential
clean
technologies,
electric
vehicles
(EVs),
and
storage
examines
how
DSM
can
diversify
mineral
supply
reduce
reliance
on
geopolitically
sensitive
sources.
It
explores
DSM's
capacity
to
recalibrate
prices,
influence
competitive
landscape
geopolitical
dynamics.
The
delves
into
multi-faceted
impacts
security,
including
shifts,
chain
diversification,
environmental
trade-offs.
By
providing
holistic
view
that
links
security
sustainable
transitions,
study
extends
beyond
prior
research
focused
mainly
technical
aspects
DSM.
findings
illustrate
intersection
with
international
politics,
its
effect
pricing
strategies,
balance
between
resource
exploitation
stewardship.
Strategic
policy
recommendations
are
offered
optimize
benefits
while
minimizing
ecological
impacts,
aligning
emerging
industry
sustainability
goals.
addition
identifying
challenges,
proposes
actionable
solutions,
contributing
unique
perspective
discourse
