Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
155, P. 111059 - 111059
Published: Oct. 9, 2023
Accurate
and
effective
assessment
of
groundwater
potential
in
aquifers
hundreds
meters
deep
remains
a
major
challenge
mining
environmental
protection.
We
analyzed
the
interaction
mechanism
hydrogeological
parameters,
quantified
it
incorporated
into
variable
weight
model
(VWM)
for
secondary
optimization,
constructed
dual
dynamic
(PE-HVWM)
that
varies
with
multi-parameter
entanglement
single-parameter
state
values
to
characterize
potential.
Then,
pumping
test
data
measured
at
site
were
used
compare
analyze
results
different
predictions,
optimized
was
validated
tested
using
Receiver
Operating
Curve
(ROC)
method
sensitivity
analysis,
which
showed
PE-HVWM
has
fairly
high
accuracy
prediction
(AUC
=
0.874).
The
can
visualize
intrinsic
correlation
between
respond
sensitively
sudden
changes
value
parameter
aquifer,
output
are
more
line
actual
situation
after
self-balancing
by
linking
other
parameters.
Water Science & Technology Water Supply,
Journal Year:
2023,
Volume and Issue:
23(7), P. 2940 - 2957
Published: July 1, 2023
Abstract
High-precision
water
quality
prediction
plays
a
vital
role
in
preventing
and
controlling
river
pollution.
However,
water's
highly
nonlinear
complex
spatio-temporal
dependencies
pose
significant
challenges
to
tasks.
In
order
capture
the
spatial
temporal
characteristics
of
data
simultaneously,
this
paper
combines
deep
learning
algorithms
for
network
area
Jiangnan
Plain,
China.
A
method
based
on
graph
convolutional
(GCN)
long
short-term
memory
neural
(LSTM),
namely
model
(ST-GCN),
is
proposed.
Specifically,
constructed
correlation
between
stations,
features
are
extracted
using
GCN,
obtained
by
integrating
LSTM.
The
was
evaluated
R2,
MAE,
RMSE,
experimental
results
were
0.977,
0.238,
0.291,
respectively.
Compared
with
traditional
models,
ST-GCN
has
significantly
improved
accuracy,
better
stability,
generalization
ability.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(8), P. e18761 - e18761
Published: July 27, 2023
This
study
investigated
seasonal
variations
in
microbial
contaminations
of
groundwater
and
associated
health
risks
four
coastal
communities
(Essiama,
Winneba,
Accra,
Keta)
Ghana.
Membrane
filtration
methods,
sanitary
risk
inspection,
quantitative
assessment
were
employed,
respectively,
to
(i)
quantify
bacteriological
quality,
(ii)
identify
contamination,
(iii)
assess
with
Escherichia
coli
groundwater.
Results
showed
70.00%,
53.33%,
70.37%
90.00%
sources
Essiama,
Keta,
at
intermediate
risk,
whereas
3.33%,
40.00%,
14.81%,
high
risk.
Very
high-risk
levels
contamination
recorded
only
Accra.
The
presence
animal
wastes
within
a
10
m
radius
collection
point,
bad
drainage
systems,
spilt
water
apron
area,
the
use
ropes
buckets
when
fetching
groundwater,
absence
aprons
well
covers
put
more
than
60.00%
points
two
or
locations
contaminations.
Assessment
quality
indicated
that
mean
total
coliforms
E.
ranged,
between
123.40-501.30
30.98-141.90
CFU/100
ml
for
communities;
highest
counts
dry
wet
seasons
occurred
Winneba
respectively.
Seasonal
Accra
significantly
higher
season
season;
Essiama
Keta
no
significant
variations.
Exposure
O157:H7
through
drinking
ranged
5
23
cells
per
day.
Although
exposure
bathing
was
less
1
cell
day
all
communities,
residents
exposed
one
coli,
least,
every
62,
141,
237,
282
days
infection
illness
drinking,
from
0.57
0.98.
estimated
Disability-Adjusted
Life
Years
(DALY)
exceeded
WHO-acceptable
DALY.
These
findings
show
resources
selected
prone
contaminations,
this
may
be
setback
Sustainable
Development
Goals
6.
Implications
are
discussed.
Water,
Journal Year:
2023,
Volume and Issue:
16(1), P. 139 - 139
Published: Dec. 29, 2023
Groundwater
Arsenic
(As)
data
are
often
sparse
and
location-specific,
making
them
insufficient
to
represent
the
heterogeneity
in
groundwater
quality
status
at
unsampled
locations.
Interpolation
techniques
have
been
used
map
As
However,
results
obtained
from
these
affected
by
various
inherent
external
factors,
which
lead
uncertainties
interpolated
data.
This
study
was
designed
determine
best
technique
interpolate
We
selected
ten
interpolation
predict
concentration
resources
of
Punjab,
Pakistan.
Two
spatial
extent
area
density,
were
considered
assess
their
impact
on
performance
techniques.
Our
show
that
Inverse
Distance
Weighting
(IDW)
Spline
demonstrate
highest
accuracy
with
lowest
RMSE
(13.5
ppb
16.7
ppb)
MAE
(87.8
89.5
ppb),
respectively,
while
Natural
Neighbor
shows
(2508.7
(712.1
When
area’s
modified,
IDW
showed
performance,
errors
within
±1.5
for
95%
wells
across
area.
While
density
has
a
positive
correlation
among
all
techniques,
remained
method
interpolation.
It
is
therefore
concluded
should
be
when
observed
randomly
distributed.
The
utilization
can
useful
monitoring
management
resources.
Water Science & Technology Water Supply,
Journal Year:
2024,
Volume and Issue:
24(6), P. 2009 - 2023
Published: May 30, 2024
ABSTRACT
The
present
study
assesses
the
chemical
characteristics
and
irrigation
suitability
of
water
in
Hirakud
reservoir
main
canal.
Water
samples
were
collected
from
10
different
sites
during
premonsoon,
monsoon,
postmonsoon
seasons.
pH,
EC,
TDS,
major
ions,
trace
metals
estimated
using
standard
methods.
pH
was
slightly
alkaline
a
few
sites.
concentration
all
ions
below
permissible
limit
except
for
K+.
cations
anions
order
Ca2+
>
Na+
>Mg2+
K+
HCO3−
Cl−
SO42−
NO3−
respectively.
Piper's
trilinear
diagram
revealed
that
Mg-HCO3−
mixed
type.
A
strong
correlation
Cl–
with
other
suggested
precipitation
dominance
hydrogeochemistry
water.
above
across
season.
Although
excellent
category
as
per
EC
SAR,
RSC
remained
PCA
anthropogenic
geogenic
processes
regulate
quality
reservoir.
work
provides
baseline
management
policy
well
command
area.
Journal of Water and Climate Change,
Journal Year:
2023,
Volume and Issue:
14(6), P. 2042 - 2053
Published: May 31, 2023
Abstract
This
study
assessed
the
microbial
quality
of
water
sources
in
winter
by
microbiological
methods
and
molecular-based
quantitative
polymerase
chain
reaction
(qPCR)
potential
future
bacterial
loads
Alleben
pond
based
on
increase
temperature.
Total
bacteria,
total
coliform,
Escherichia
coli
levels
using
qPCR
were
significantly
higher
samples
than
those
enumerated
culture-dependent
methods.
These
results
showed
that
our
approach
is
suitable
to
estimate
relative
abundances
uncultured
cultured
indicator
microorganisms
affected
characteristics.
Based
climate
data,
daily
average
rate
1.8
°C/increase
associated
with
air
temperature
for
was
recorded.
As
a
result
warming
surface,
thresholds
may
breach
and,
thus,
physicochemical
biological
properties
change
increasing
growth
rates.
first
analysis
apply
combined
molecular
approaches
better
understand
how
concentrations
aquatic
environments
variations
Gaziantep
region.
indicates
developing
surface
treatment
measures
adaptation
strategies
reduce
contamination
pond.