Long-term exposure to fly ash leachate enhances the bioavailability of potentially toxic metals and decreases bacterial community diversity in sediments
Huijuan Bo,
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Zejin Li,
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Haibo Wang
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et al.
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
unknown, P. 123428 - 123428
Published: Feb. 1, 2025
Language: Английский
Analysis of Heavy Metal Sources in Xutuan Mining Area Based on APCS-MLR and PMF Model
Jieyu Xia,
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Liangmin Gao,
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Jinxiang Yang
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et al.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(8), P. 4249 - 4249
Published: April 11, 2025
The
present
study
aims
to
determine
the
concentrations
and
forms
of
Copper
(Cu),
Lead
(Pb),
Zinc
(Zn),
Chromium
(Cr),
Cadmium
(Cd),
Arsenic
(As)
in
water
sediments
Xutuan
mining
area.
geoaccumulation
index
(Igeo)
ecological
risk
assessment
coding
(RAC)
methods
were
used
assess
heavy
metal
pollution
levels
risks
sediments.
positive
matrix
factorization
(PMF)
model
absolute
principal
component
score-multiple
linear
regression
(APCS-MLR)
quantitatively
analyze
sources
metals
evaluated
results
showed
good
quality
Cu,
Cr,
Zn,
As
mainly
residual
form,
while
Cd
Pb
organic
matter
combined
form.
Igeo
RAC
that
degree
higher
APCS-MLR
PMF
models
analyzed
contributions
natural
(72.5%
25.1%)
anthropogenic
sources,
respectively,
further
distinguished
coal
(26.4%),
agricultural
(21.44%),
traffic
(27.05%)
sources.
Language: Английский
Geo-Spatial Insights into Heavy Metal Contamination and Ecological Implications in River Sediments: Identifying Agrochemical Impacts Through Pollution Indices in Morocco’s Sidi Allal Tazi Region, Sebou Basin
Hatim Sanad,
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Rachid Moussadek,
No information about this author
Latifa Mouhir
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et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
Sediments
in
agricultural
ecosystems
serve
as
critical
indicators
of
environmental
pollution,
particularly
regions
subjected
to
intensive
practices.
This
research
evaluates
the
hazards
and
implications
heavy
metal
(HM)
contamination
river
sediments
from
Sidi
Allal
Tazi
area
within
Morocco’s
Sebou
basin.
Twenty
sediment
samples
were
extracted
strategically
designated
locations,
levels
analyzed
using
a
multi-index
integration
approach,
multi-statistical
analyses
(MSA),
Geographic
Information
Systems
(GIS).
The
results
revealed
considerable
spatial
variability
HM
concentrations,
with
Cd
As
displaying
highest
levels.
Statistical
analysis,
incorporating
Principal
Component
Analysis
(PCA),
identified
anthropogenic
activities
primary
contributors
contamination.
Hierarchical
Cluster
(HCA)
categorized
metals
based
on
common
pollution
pathways,
while
GIS
mapping
distribution
across
vulnerable
areas.
Pollution
like
Geo-accumulation
Index
(I
geo)
well
Load
(PLI).
that
75%
sites
under
“very
high
pollution”,
emphasizing
severity
Contamination
Factor
(CF)
classified
90%
100%
contamination”.
Risk
indices
indicated
significant
ecological
threats,
contributing
an
RI
exceeding
600
many
areas,
signifying
risk”.
These
findings
highlight
urgent
need
for
targeted
mitigation
strategies
sustainable
methodologies
provides
comprehensive
framework
assessing
managing
contamination,
offering
insights
policymakers
managers.
Language: Английский
Tracing sources-oriented ecological risks of metal(loid)s in sediments of anthropogenically-affected coastal ecosystem from northeast bay of Bengal
Marine Pollution Bulletin,
Journal Year:
2024,
Volume and Issue:
211, P. 117354 - 117354
Published: Dec. 2, 2024
Language: Английский