Ecotoxicology and Environmental Safety,
Год журнала:
2022,
Номер
236, С. 113445 - 113445
Опубликована: Апрель 1, 2022
The
urban
alternate
water
source
(AWS)
is
of
great
significance
to
the
sustainable
development
city,
pollution
degree,
and
heavy
metals
(HMs)
in
AWS,
whether
it
will
adversely
affect
human
health
has
received
widespread
attention.
In
this
study,
AWS
Xinbian
River
Suzhou
City,
Huaibei
Plain,
China,
was
used
as
research
object
study
seasonal
changes
HMs
(As,
Cr,
Cu,
Cd,
Pb,
Zn),
quantitative
identification
sources,
risks
(HHR).
Research
results
show
that
contents
those
HMs,
except
As,
are
less
than
drinking
standards
limit
set
by
World
Health
Organization
(WHO),
Zn
largest
summer.
multivariate
statistical
analysis
combined
with
positive
matrix
factorization
(PMF)
model
revealed
industrial
sources
accounted
for
44.83%,
agricultural
55.17%.
HHR
assessment
based
on
Monte
Carlo
simulation
shows
noncarcinogenic
adults
children
acceptable
range
(hazardous
ingestion
(HI)
<
1),
probability
carcinogenic
risk
values
95.03%
38.96%,
respectively,
which
exceed
(1
×
10-4)
recommended
United
States
Environment
Protection
Agency
(USEPA).
Approximately
30.75%
value
exceeds
10-4).
above
indicate
effect
non-point
should
be
prevented.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Сен. 22, 2023
Rapid
urbanization,
population
growth,
agricultural
practices,
and
industrial
activities
have
led
to
widespread
groundwater
contamination.
This
study
evaluated
heavy
metal
contamination
in
residential
drinking
water
Shiraz,
Iran
(2021).
The
analysis
involved
80
samples
collected
across
wet
dry
seasons.
Water
quality
was
comprehensively
assessed
using
several
indices,
including
the
metals
evaluation
index
(HEI),
pollution
(HPI),
degree
(CD),
(MI).
Carcinogenic
non-carcinogenic
risk
assessments
were
conducted
deterministic
probabilistic
approaches
for
exposed
populations.
In
assessment,
chronic
daily
intake
(CDI),
hazard
quotient
(HQ),
(HI)
are
employed.
precision
of
assessment
bolstered
through
utilization
Monte
Carlo
simulation,
executed
R
software
platform.
Based
on
results,
both
seasons,
Zinc
(Zn)
consistently
demonstrates
highest
mean
concentration,
followed
by
Manganese
(Mn)
Chromium
(Cr).
During
25%
40%
regions
exhibited
high
CD,
respectively.
According
Cr
presents
CDI
HQ
children
adults,
Mn,
As
HI
values,
indicating
elevated
children.
carcinogenic
while
lowest
Cd
sensitivity
found
that
concentration
ingestion
rate
significantly
impact
risks.
These
findings
provide
critical
insights
shaping
policy
allocating
resources
towards
effectively
managing
water.
Metals,
Год журнала:
2023,
Номер
13(7), С. 1266 - 1266
Опубликована: Июль 13, 2023
Heavy
metal(loid)s
(HMs)
play
an
important
role
in
economic
development
since
they
are
used
various
branches
of
industry.
However,
all
industrial
activities
emit
HMs
into
the
environment,
where
no
longer
useful
but
potentially
toxic.
It
has
been
observed
that
enter
soil
and
sediment,
potential
human
health
risk
may
arise
due
to
their
excessive
accumulation.
Having
mind
importance
assessing
these
media,
we
analyzed
published
works
last
decade
created
a
summary
exposure
factors
models
for
sediment.
This
analysis
revealed
remarkable
increase
number
publications
about
assessment
HMs,
especially
few
years.
Since
many
differences
values
distributions
were
noted,
this
study
focused
on
elucidating
differences.
Non-carcinogenic
carcinogenic
evaluated
through
deterministic
approach
is
prevalent
use,
probabilistic
one,
which
gaining
more
attention
research.
In
end,
guided
by
studied
literature,
propose
factors.
Journal of Molecular Liquids,
Год журнала:
2024,
Номер
410, С. 125592 - 125592
Опубликована: Июль 20, 2024
Heavy
metals
pose
a
significant
threat
to
ecosystems
and
human
health
because
of
their
toxic
properties
ability
bioaccumulate
in
living
organisms.
Traditional
removal
methods
often
fall
short
terms
cost,
energy
efficiency,
minimizing
secondary
pollutant
generation,
especially
complex
environmental
settings.
In
contrast,
molecular
simulation
offer
promising
solution
by
providing
in-depth
insights
into
atomic
interactions
between
heavy
potential
adsorbents.
This
review
highlights
the
for
removing
types
pollutants
science,
specifically
metals.
These
powerful
tool
predicting
designing
materials
processes
remediation.
We
focus
on
specific
like
lead,
Cadmium,
mercury,
utilizing
cutting-edge
techniques
such
as
Molecular
Dynamics
(MD),
Monte
Carlo
(MC)
simulations,
Quantum
Chemical
Calculations
(QCC),
Artificial
Intelligence
(AI).
By
leveraging
these
methods,
we
aim
develop
highly
efficient
selective
unravelling
underlying
mechanisms,
pave
way
developing
more
technologies.
comprehensive
addresses
critical
gap
scientific
literature,
valuable
researchers
protection
health.
modelling
hold
promise
revolutionizing
prediction
metals,
ultimately
contributing
sustainable
solutions
cleaner
healthier
future.
Geocarto International,
Год журнала:
2022,
Номер
37(26), С. 13127 - 13144
Опубликована: Май 17, 2022
The
concentrations
of
arsenic
(As),
chromium
(Cr),
lead
(Pb)
and
zinc
(Zn)
the
human
health
risk
metals
were
estimated
through
drinking
water
consumption.
Totally,
48
samples
groundwater
collected
analyzed
during
2019.
Health
indices
using
chronic
daily
intake
(CDI),
hazard
quotient
(HQ)
and,
index
(HI),
as
well
cancer
(CR).
Except
for
As
(66.6%
areas
above
permissible
limits),
other
three
heavy
within
US
EPA
WHO
limits.
∑HI
values
in
100%
75%
1
children
adults,
implying
non-carcinogenic
from
sum
metals.
Children
total
(CRt)
all
(except
one
area
with
acceptable
risk)
fell
unacceptable
risk.
Adults
CRt
category.
was
highest
contributor
to
carcinogenic
risks
both
adults.
Our
results
showed
that
more
exposed
risks,
due
containing
As,
Cr,
Pb
study
areas.
can
provide
a
basis
local
governments
properly
manage
quality
reference
management
neighborhood
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(13), С. 7827 - 7827
Опубликована: Июнь 26, 2022
Groundwater
is
a
significant
component
of
water
resources,
but
drinking
groundwater
with
excessive
heavy
metals
(HMs)
harmful
to
human
health.
Currently,
quantitative
source
apportionment
and
probabilistic
health
risk
assessment
HMs
in
are
relatively
limited.
In
this
study,
60
samples
containing
seven
were
collected
from
Hainan
Island
analyzed
by
the
coupled
absolute
principal
scores/multiple
linear
regression
(APCS/MLR),
(HRA)
Monte
Carlo
simulation
(MCS)
quantify
pollution
sources
risks.
The
results
show
that
high-pollution-value
areas
mainly
located
industry-oriented
western
region,
level
study
area
generally
low.
main
found
be
mixed
agricultural
activities
traffic
emissions
(39.16%),
industrial
(25.57%)
natural
(35.27%).
Although
non-carcinogenic
risks
for
adults
children
negligible,
carcinogenic
at
high
level.
Through
analyzing
relationship
between
HMs,
sources,
risks,
contribute
most
Cr
determined
as
priority
control
HM.
This
emphasizes
importance
evaluation
HM
assessment,
which
provides
an
essential
basis
prevention
Island.
