Utilization of molybdenum tailings in subgrade materials: orthogonal experiments, long-term leaching behavior of heavy metals, and environmental impact assessment
Process Safety and Environmental Protection,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Spatial Heterogeneity Analysis and Risk Assessment of Potentially Toxic Elements in Soils of Typical Green Tea Plantations
Agronomy,
Год журнала:
2024,
Номер
14(8), С. 1599 - 1599
Опубликована: Июль 23, 2024
The
spatial
heterogeneity
of
potentially
toxic
elements
(PTEs)
in
a
typical
green
tea-producing
area
Zhejiang
was
investigated
with
application
geostatistics.
positive
matrix
factorization
(PMF)
conducted
for
analysis
pollution
sources
and
risk
assessment
the
soil
tea
garden.
results
revealed
that
93.52%
study
did
not
exceed
PTEs
screening
value
control
standard
agricultural
land.
showed
Cd
Pb
had
moderate
auto-correlation,
exhibiting
similar
distribution
patterns.
high-value
locations
were
distributed
southeast
area,
while
low-value
southwest
area.
Cr,
As,
Hg
strong
Cr
As
patterns
whose
areas
concentrated
west
center
respectively.
Cd,
Pb,
originated
from
source,
transportation
industrial
respectively,
natural
source
on
basis
PMF
model.
potential
ecological
five
low
risk.
single-factor
ranking
>
Pb.
overall
slight.
human
health
model
indicates
there
non-carcinogenic
children
northwest
It
is
concluded
emphasis
shall
be
given
to
excessive
caused
by
monitoring
will
strengthened
northwestern
part
relevant
measures
prevention
must
conducted.
Язык: Английский
Environmental risk assessment method for dense tailings ponds areas – a case study of the Yellow River Basin of Henan Province, China
Human and Ecological Risk Assessment An International Journal,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Дек. 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.
Язык: Английский