The
accurate
prediction
of
total
phosphorus
(TP)
is
crucial
for
the
early
detection
water
quality
eutrophication.
However,
predicting
TP
concentrations
among
canal
sites
challenging
due
to
their
complex
spatiotemporal
dependencies.
To
address
this
issue,
study
proposes
a
GAT-Informer
method
based
on
correlations
predict
in
Beijing–Hangzhou
Grand
Canal
Basin
Changzhou
City.
begins
by
creating
feature
sequences
each
site
time
lag
relationship
concentration
between
sites.
It
then
constructs
graph
data
combining
real
river
distance
and
correlation
sequences.
Next,
spatial
features
are
extracted
fusing
node
using
attention
(GAT)
module.
employs
Informer
network,
which
uses
sparse
mechanism
extract
temporal
efficiently
simulating
model
was
evaluated
R2,
MAE,
RMSE,
with
experimental
results
yielding
values
0.9619,
0.1489%,
0.1999%,
respectively.
exhibits
enhanced
robustness
superior
predictive
accuracy
comparison
traditional
models.
Ecotoxicology and Environmental Safety,
Год журнала:
2025,
Номер
291, С. 117801 - 117801
Опубликована: Фев. 1, 2025
Long-term
exposure
to
potentially
toxic
elements
(PTEs)
increases
carcinogenic
and
non-carcinogenic
risks
in
the
exposed
population.
The
current
study
was
conducted
with
aims
of
meta-analysis
concentrations
PTEs
including
Arsenic
(As),
Cadmium
(Cd),
Lead
(Pb),
Mercury
(Hg),
Nickel
(Ni)
Copper
(Cu)
water
resources
human
health
risk
assessment
for
adult
males
female
consumers
China.
Search
performed
international
databases
Web
Science,
Scopus,
PubMed,
Embase
Google
Scholar
(gery
literature)
from
January
1,
2005
April
2024.
concentration
meta-analyzed
using
random
effects
model
(surface
groundwater)
location
(urban
rural
locations)
subgroups.
Human
due
ingestion
dermal
contact
pathways
estimated
target
hazard
quintet
(THQ)
(CR)
One
hundred
twenty-six
papers
237
data-reports
(n
=
13,083)
were
included
this
study.
rank
order
based
on
pooled
As
(12.6530
µg/l)
>
Cu
(11.1810
µg/l)>
Ni
(2.4950
Pb
(2.0660
Cd
(0.5370
Hg
(0.3600
µg/l).
percentage
studies
higher
than
standard
limits
(28.37
%)
(16.67
(11.86
(9.91
(7.48
(2.38
%).
Pb,
Ni,
surface
groundwater
but
water.
high
(THQ
≥
1)
male
(30.49
(8.09
%)>
(6.90
(3.60
(3.39
(2.50
female,
(29.78
(2.70
(1.25
(TCR
1E-4)
(60.28
(33.33
(56.73
(29.93
Therefore,
reduce
especially
As,
continuous
monitoring
control
release
into
through
novel
approaches
is
recommended.
Journal of Environmental Science and Health Part C,
Год журнала:
2024,
Номер
unknown, С. 1 - 34
Опубликована: Дек. 22, 2024
Nitrate
contamination
in
drinking
water
poses
significant
health
risks,
particularly
rapidly
urbanizing
areas
of
developing
countries.
This
study
presents
an
integrated
computational
and
graphical
approach
to
evaluate
the
geochemistry
risks
nitrate-contaminated
for
six
age
groups
Southeast,
Nigeria.
The
research
employed
a
detailed
methodology
combining
nutrient
pollution
index
(WNPI),
nitrate
(NPI),
(WPI),
geochemical
plotting
techniques,
stoichiometry,
risk
computations.
Water
samples
from
several
locations
were
analyzed
physicochemical
parameters
concentrations.
Results
revealed
predominantly
acidic
conditions
varying
levels
contamination.
Geochemical
analysis
indicated
that
silicate
weathering
ion
exchange
processes
primary
influences
on
chemistry.
WPI
identified
14.29%
as
"extremely
polluted"
(WPI
>
1),
while
WNPI
classified
7.14%
"moderately
(WNPI
1).
However,
NPI
categorized
safe,
indicating
low
inputs
anthropogenic
sources.
Health
assessments
low-moderate
with
highest
total
hazard
0.839
6-12
months
group;
thus,
higher
vulnerability
infants.
Oral
exposure
was
found
be
dominant
pathway,
contributing
over
99.90%
risk.
provides
crucial
insights
achieving
Sustainable
Development
Goals
(SDGs)
related
quality
public
protection.
offers
robust
framework
resource
management
interventions
risk-prone
areas.
Future
should
focus
expanding
spatial
coverage,
incorporating
sensitivity
analyses,
exploring
advanced
technologies
real-time
monitoring
predictive
modeling
quality.
Water,
Год журнала:
2025,
Номер
17(5), С. 630 - 630
Опубликована: Фев. 21, 2025
Water
pollution
is
a
significant
problem
stemming
from
several
causes,
with
the
contamination
of
heavy
metal(oid)s
being
primary
concern.
This
especially
concerning
because
poisonous
characteristics
these
and
their
effects
on
aquatic
ecosystem.
research
distinguished
by
its
unique
methodology
for
assessing
in
surface
water
Bangladeshi
rivers
over
period
sixteen
years,
2007
to
2022.
work
seeks
elucidate
recent
results
metal(oid)
concentrations,
levels,
multivariate
statistical
analyses,
source
identification
using
positive
matrix
factorization
models,
probabilistic
health
risks.
The
findings
reveal
that
concentrations
chromium,
nickel,
arsenic,
cadmium,
lead
exceeded
acceptable
limits
drinking
established
World
Health
Organization
(WHO)
factors
4.64,
2.25,
22.51,
45.60,
10.13,
respectively.
Our
meta-analysis,
subsequent
Principal
Component
Analysis,
indicated
increased
hazardous
metals
account
85.47%
variation
both
anthropogenic
natural
causes.
Ecological
risk
indicators,
including
metal
index
(84.06)
Nemerow
(10.55),
contamination.
like
indicate
substantial
(PMF)
model
detected
following
sources
water:
industrial
(22%),
mixed
(32%),
agricultural
activities
(27%),
(19%).
Furthermore,
Monte
Carlo-simulation-based
assessments
hazards
mean
hazard
(HI)
cancer
values
adults
(301.89
422.76)
children
(51.56
39.45)
significantly
recommended
limits,
suggesting
are
vulnerable
potential
non-carcinogenic
carcinogenic
immediate
execution
control
measures
regulations
essential
avert
escalating
water,
protect
ecosystems,
mitigate
hazards.
