Ecotoxicology and Environmental Safety,
Journal Year:
2023,
Volume and Issue:
253, P. 114689 - 114689
Published: Feb. 27, 2023
Understanding
the
factors
that
controlling
agricultural
soil
heavy
metals/metalloids
distribution
is
vital
for
cropland
remediation
and
management.
For
this
objective,
227
soils
were
sampled
in
Guanzhong
Plain,
China,
to
measure
concentration
of
five
metals
(Pb,
Cd,
Ni,
Zn,
Cu)
one
metalloid
(As)
by
X-ray
fluorescence
spectrometer,
meanwhile,
24
possible
influencing
metals/metalloid
collected
grouped
into
three
categories.
A
sequential
multivariate
statistical
analysis
was
carried
out
provide
insight
distribution,
then
stepwise
multiple
linear
regression
(SMLR)
partial
least
squares
(PLS)
used
predict
concentrations
based
on
result
identification.
The
results
demonstrated
types
land
use
did
not
have
a
substantial
effect
except
Zn
Cu.
properties
category
played
major
role
concentration.
Mn
Fe,
which
are
main
constitute
elements
inorganic
colloid,
most
significant
factors,
followed
P,
K
Ca.
Soil
pH
organic
matter
(SOM)
content,
often
considered
as
important
present
study.
SMLR
more
effective
than
PLS
predicting
content.
study
enlighten
future
contamination
treatment
regions
with
high
low
SOM
content
should
concentrate
colloid
particles,
strong
adsorption
capacity
environmentally
friendly.
Moreover,
combination
successive
an
tool
monitor
facilitate
improvement
environmental
territorial
Geoscience Frontiers,
Journal Year:
2019,
Volume and Issue:
11(4), P. 1203 - 1217
Published: Nov. 28, 2019
Natural
hazards
are
often
studied
in
isolation.
However,
there
is
a
great
need
to
examine
holistically
better
manage
the
complex
of
threats
found
any
region.
Many
regions
world
have
hazard
landscapes
wherein
risk
from
individual
and/or
multiple
extreme
events
omnipresent.
Extensive
parts
Iran
experience
array
natural
–
floods,
earthquakes,
landslides,
forest
fires,
subsidence,
and
drought.
The
effectiveness
mitigation
part
function
whether
can
be
collectively
considered,
visualized,
evaluated.
This
study
develops
tests
collective
multi-hazard
maps
for
fires
visualize
spatial
distribution
Fars
Province,
southern
Iran.
To
do
this,
two
well-known
machine-learning
algorithms
SVM
MARS
used
predict
these
events.
Past
were
surveyed
mapped.
locations
occurrence
(individually
collectively)
randomly
separated
into
training
(70%)
testing
(30%)
data
sets.
conditioning
factors
(for
fires)
employed
model
distributions
aspect,
elevation,
drainage
density,
distance
faults,
geology,
LULC,
profile
curvature,
annual
mean
rainfall,
plan
man-made
residential
structures,
nearest
river,
road,
slope
gradient,
soil
types,
temperature,
TWI.
outputs
models
assessed
using
receiver-operating-characteristic
(ROC)
curves,
true-skill
statistics
(TSS),
correlation
deviance
values
each
hazard.
areas-under-the-curves
(AUC)
prediction
76.0%,
91.2%,
90.1%
respectively.
Similarly,
AUCs
75.5%,
89.0%,
91.5%.
TSS
reveals
that
was
able
landslide
risk,
but
less
flood-risk
patterns
forest-fire
risk.
Finally,
combination
flood,
fire,
yielded
susceptibility
map
province.
predictive
indicated
52.3%
province
at-risk
at
least
one
hazards.
may
yield
valuable
insight
land-use
planning,
sustainable
development
infrastructure,
also
integrated
watershed
management
Province.
The Science of The Total Environment,
Journal Year:
2021,
Volume and Issue:
808, P. 151874 - 151874
Published: Nov. 24, 2021
Heavy
metals
in
soil
are
a
great
threat
to
ecosystems
and
human
health.
The
rapid
development
of
industrialization
has
created
serious
risk
heavy
metal
pollution
soil.
study
took
the
industrial-intensive
Dahetan
subbasin
as
typical
area.
factors
interactions
that
affected
distribution
(Cd,
Hg,
As,
Pb
Cr)
area
were
explored
based
on
Geodetector
model.
analysis
results
extended
predict
high-risk
areas
Xiangjiang
River
basin.
showed
Cd,
As
significantly
by
local
industrial
mining
activities,
Hg
Cr
primarily
natural
factors,
such
pH
type.
Compared
single
factor,
interaction
between
had
greater
impact
concentration
metals.
basin
concentrated
upper
reaches
middle
reaches.Significant
overlapping
multiple
occurred
west,
south
spatial
visualization
was
realized,
influence
several
integrated
via
layer
superposition.
This
proposes
new
idea
large-scale
provide
reference
for
regional
prevention
control
pollution.
