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
(Igeo)
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.
Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 504 - 504
Published: April 12, 2024
One
essential
part
of
transportation
infrastructure
is
highways.
The
surrounding
eco-environment
greatly
impacted
by
the
construction
However,
few
studies
have
investigated
changes
in
eco-environmental
quality
during
highway
construction,
and
main
impact
areas
not
been
clarified.
from
Sunit
Right
Banner
to
Huade
(Inner
Mongolia–Hebei
border)
was
used
as
study
area.
GEE
establish
RSEI.
During
Sen
+
M-K
trend
analysis,
Hurst
Geodetector
were
employed
assess
RSEI
driving
factors.
results
show
following:
(1)
An
area
1500
m
around
where
ecological
will
be
greatest.
(2)
curve
annual
mean
2016
2021
V-shaped.
From
northwest
southeast,
there
an
increasing
spatial
distribution.
(3)
largest
environmental
degradation
occurred
first
year
construction.
(4)
factor
detector
indicate
that
DEM,
precipitation,
distance
administrative
district,
FVC
drivers
research
region.
interaction
detector’s
findings
drivers’
combined
influence
on
greater
than
their
individual
components.
(5)
Compared
2016–2021
trend,
proportion
future
degraded
terms
increase
3.16%,
while
improved
decrease
2.99%.
