Minerals,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1134 - 1134
Published: Nov. 9, 2024
The
granular
soils
of
tailings,
encompassing
clay,
gravel,
sand,
and
silt,
play
a
pivotal
role
in
the
behavior
stability
tailings
dams.
Different
types
significantly
influence
material’s
strength,
compressibility,
permeability.
This
study
highlights
importance
understanding
relationship
between
soil
contaminant
properties
when
analyzing
solute
transport
through
numerical
modeling.
Consequently,
various
were
incorporated
into
initial
dam
model
to
simulate
based
on
analysis.
findings
underscored
essential
dispersion
within
Finer
particles,
such
as
clay
demonstrated
higher
adsorption
capacities,
which
slow
movement.
In
contrast,
coarser
materials,
like
sand
enable
faster
transport,
increasing
potential
for
rapid
dispersion.
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 20
Published: Aug. 16, 2024
The
research
of
knowledge
graph
in
construction
management
(KGCM)
has
become
a
current
hotspot.
However,
there
are
problems
insufficient
data
sources,
low
accuracy
information
and
the
need
for
manual
intervention
management,
which
needs
to
be
improved
urgently.
This
article
adopts
hybrid
review
approach
comprehensively
analyze
status
KGCM
summarizes
results
KGCM.
In
addition,
gaps
future
development
directions
explored
from
multi-modal
perspective.
study
shows
that
on
under
perspective
still
faces
three
major
challenges:
(1)
Construction
process
modeling
optimization,
(2)
resource
scheduling,
(3)
risk
identification
response.
provides
new
ideas
methods
planning,
design,
operation
engineering
projects.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8686 - 8686
Published: Oct. 8, 2024
The
failure
of
tailings
pond
dams
represents
a
complex
coupled
system
involving
various
risk
factors,
including
human,
governance,
facilities,
and
environmental
aspects.
It
is
crucial
to
identify
key
factors
at
the
level
enhance
safety
management
ponds.
We
analyzed
74
cases
dam
accidents,
both
domestically
internationally,
from
perspectives
facility,
environment.
employed
2–4
Model
extract
causes
failures,
summarizing
these
into
four
primary
40
secondary
while
constructing
coupling
mechanism
model.
natural
killing
(N–K)
model
was
implemented
analyze
values
quantify
couplings.
N–K
facilitated
an
analysis
first-level
social
network
(SNA)
visualize
relationships
among
second-level
assess
centrality
accessibility
nodes
within
factor
network.
out-degree
corrected
by
integrating
with
SNA,
leading
identification
associated
failures
formulation
corresponding
prevention
control
strategies.
findings
indicate
that
managing
multi-risk
effective
approach
mitigating
occurrence
accidents.
Notably,
unfavorable
significantly
contribute
human–governance–facility–environmental
risks,
necessitating
targeted
Furthermore,
inadequate
supervision,
weak
awareness,
receipt
inspection,
irregular
operation
represent
additional
requiring
focused
efforts.
Minerals,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1134 - 1134
Published: Nov. 9, 2024
The
granular
soils
of
tailings,
encompassing
clay,
gravel,
sand,
and
silt,
play
a
pivotal
role
in
the
behavior
stability
tailings
dams.
Different
types
significantly
influence
material’s
strength,
compressibility,
permeability.
This
study
highlights
importance
understanding
relationship
between
soil
contaminant
properties
when
analyzing
solute
transport
through
numerical
modeling.
Consequently,
various
were
incorporated
into
initial
dam
model
to
simulate
based
on
analysis.
findings
underscored
essential
dispersion
within
Finer
particles,
such
as
clay
demonstrated
higher
adsorption
capacities,
which
slow
movement.
In
contrast,
coarser
materials,
like
sand
enable
faster
transport,
increasing
potential
for
rapid
dispersion.
