Pulling nutrients from Mo-polluted soil by arbuscular mycorrhizal fungi extraradical mycelia is quenching thirsty with poison
Mengge Zhang,
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Zhaoyong Shi,
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Jiakai Gao
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et al.
Plant Physiology and Biochemistry,
Journal Year:
2025,
Volume and Issue:
220, P. 109488 - 109488
Published: Jan. 7, 2025
Language: Английский
The Formation Process and Mechanism of Total Activated Potassium During the Preparation of Si–Ca–K–Mg Fertilizer from Molybdenum Tailings
Tuanliu Hu,
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Yifan Li,
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Aihua Xiang
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et al.
Minerals,
Journal Year:
2025,
Volume and Issue:
15(5), P. 450 - 450
Published: April 26, 2025
Silicon–calcium–potassium–magnesium
fertilizer
(Si–Ca–K–Mg
fertilizer),
a
critical
acidic
soil
conditioner
for
remediating
polluted
soils,
encounters
significant
challenge:
substantial
potassium
loss
through
flue
gas
during
high–temperature
calcination,
which
increases
production
costs.
This
study
optimized
the
blending
ratio
of
molybdenum
tailings
(MTs)
with
CaCO3
and
CaSO4,
systematically
investigating
interplay
between
clinker–soluble
potassium,
volatile
loss,
total
activated
content
calcination.
Key
findings
include
large–scale
utilization
tailings;
mass
mMTs:mCaCO3:mCaSO4
=
1:0.5:1.0
leads
to
K2O
3.05
wt.%.
Enhancing
nutrient
efficiency
by
increasing
proportion
additives
(with
1:0.7:0.4)
results
in
4.50
wt.%,
is
1.5
times
national
standard.
Mechanistically,
calcination
decomposes
feldspar
(K–feldspar)
into
leucite
SiO2.
CaO
derived
from
reacts
SiO2
form
calcium
silicate,
facilitating
decomposition
water–soluble
kaliophilite.
Simultaneously,
thermal
diffusion
promotes
ion
exchange
Ca2+
CaSO4
K+
leucite,
thereby
forming
sulfate.
However,
part
this
sulfate,
along
some
kaliophilite,
volatilizes
at
high
temperatures,
contributing
loss.
Recycling
lost
back
fertilizers
enables
complete
utilization.
work
establishes
robust
framework
efficiently
producing
Si–Ca–K–Mg
tailings,
addressing
key
challenges
retention
resource
recycling
industrial
synthesis.
Language: Английский
Sustainable approaches to tailings remediation: Role of organic fertilizers
Chaofan Li,
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Haoxuan Cai,
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Yuqing Liu
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et al.
Environmental Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121454 - 121454
Published: March 1, 2025
Language: Английский
Experimentation of Heat-Insulating Materials for Surrounding Rocks in Deep Mines and Simulation Study of Temperature Reduction
Hongwei Deng,
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Yuanzhe Xiao
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Minerals,
Journal Year:
2024,
Volume and Issue:
14(9), P. 938 - 938
Published: Sept. 13, 2024
With
the
increasing
depletion
of
shallow
resources,
mining
has
gradually
shifted
to
deeper
levels,
and
high-temperature
problem
deep
restricted
efficient
safe
development
mining.
In
this
study,
five
types
thermal
insulation
materials
for
surrounding
rocks
with
different
ratios
were
produced
using
tailings,
P.O.32.5
clinker,
aluminum
powder,
glass
beads,
quick
lime,
slaked
lime
as
test
materials.
Based
on
uniaxial
compression
test,
constant
analysis
numerical
simulation
technology,
change
rule
mortar
compressive
strength
conductivity
was
analyzed,
cooling
effect
surrounding-rock
discussed.
The
results
showed
that
ranged
from
0.39
0.53
MPa,
0.261
0.387
W/(K·m),
ratio
E
being
largest
A
lowest.
results,
layer
thickness
taken
a
value
10
cm
when,
at
time,
best
economic
benefits
involved
temperature
reduction
0.9
K.
case
changing
inlet
wind
speed,
original
rock
also
very
clear,
maximum
reductions
0.92
K,
1.42
Language: Английский
Environmental risk assessment method for dense tailings ponds areas – a case study of the Yellow River Basin of Henan Province, China
Han Wang,
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Mengshuo Liu,
No information about this author
Huiyuan Jiang
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et al.
Human and Ecological Risk Assessment An International Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 22
Published: Dec. 19, 2024
Tailings
ponds
are
the
final
storage
site
for
tailings
associated
with
mine
extraction
and
hydrometallurgical
processing,
a
major
source
of
environmental
risk.
This
study
establishes
comprehensive
evaluation
method
risk
in
region
proposes
identification
key
factors.
According
to
indicator
scores
weights,
index
reservoirs
can
be
calculated,
and,
based
on
this
index,
level
categorized
into
four
classes(low,
medium,
high,
super
high).
The
highest
first
three
indicators
is
recognized
as
factor.
Subsequently,
Yellow
River
Basin
Henan
Province
was
evaluated.
gradually
increases
from
north
south.
because
higher
total
number
impoundments
south,
excessive
proximity
rivers,
so
on.
northern
medium-low
area
centered
Jiyuan
southern
medium-high
Luanchuan
have
been
observed.
These
results
provide
critical
decision
support
prevention
control
tailing
pond
risks.
Language: Английский