Urban Water Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: Dec. 25, 2024
This
study
assessed
land-use
impacts
on
surface-water
quality
and
explored
relationships
between
water
indexes
with
parameters.
Twenty-seven
samples,
collected
from
canals
located
in
agricultural,
industrial,
residential
areas,
were
analyzed
for
22
Water
index
(WQI),
heavy
metal
pollution
(HPI),
(MQI)
results
showed
poor
to
very
across
all
land
uses.
Agriculture
had
the
highest
WQI
(39),
followed
by
(12)
industrial
areas
(7).
Industrial
exhibited
HPI
MQI,
indicating
higher
areas.
Stepwise
multiple
regression
analysis
revealed
a
significant
correlation
electrical
conductivity
chemical
oxygen
demand
(COD),
explaining
71%
of
variance.
Discriminant
differentiated
three
uses
100%
accuracy
using
turbidity,
COD,
biochemical
demand,
Mg,
and,
Na.
Tailored
management
strategies
should
be
developed
each
land-used
type
improve
urban
Applied Water Science,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Dec. 5, 2024
Abstract
Assessing
water
quality
is
essential
for
acquiring
a
better
understanding
of
the
importance
in
human
society.
In
this
study,
groundwater
resources
Jiroft
city,
Iran,
using
artificial
intelligence
methods
to
estimate
index
(GWQI)
was
evaluated.
The
analysis
hydrochemical
parameters,
including
arsenic
(As),
fluoride
(F),
nitrate
(NO
3
),
and
nitrite
2
408
samples
revealed
that
concentrations
F,
NO
,
were
below
WHO
standard
threshold,
but
levels
As
exceeded
permissible
value.
random
forest
model
with
highest
accuracy
(
R
=
0.986)
best
prediction
model,
while
logistic
regression
0.98),
decision
tree
0.979),
K-nearest
neighbor
0.968),
neural
network
0.955),
support
vector
machine
0.928)
predicted
GWQI
lower
accuracy.
non-carcinogenic
risk
assessment
children
had
hazard
quotient
oral
dermal
intake,
values
ranging
from
0.47
13.53
intake
0.001
0.05
intake.
excess
lifetime
cancer
children,
adult
females,
males
found
be
2.5
×
10
–4
7.2
–3
1.2
3.6
4.3
–5
respectively.
This
study
suggests
any
effort
reduce
population
should
take
into
account
health
hazards
associated
exposure
through
drinking
water.
Geographia Technica,
Journal Year:
2024,
Volume and Issue:
19(2/2024), P. 13 - 32
Published: May 15, 2024
Population
growth,
urbanization
and
rapid
industrial
development
increase
the
demand
for
water
resources.Groundwater
is
an
important
resource
in
sustainable
socio-economic
development.The
identification
of
regions
with
probability
existence
groundwater
necessary
helping
decision
makers
to
propose
effective
strategies
management
this
resource.The
objective
study
construct
maps
potential
groundwater,
based
on
machine
learning
algorithms,
namely
deep
neural
networks
(DNNs),
XGBoost
(XGB),
CatBoost
(CB),
Gia
Lai
province
Vietnam.In
study,
12
conditioning
factors,
elevation,
aspect,
curvature,
slope,
soil
type,
river
density,
distance
road,
land
use/land
cover
(LULC),
Normalized
Difference
Vegetation
Index
(NDVI),
Normal
Built-up
(NDBI),
Water
(NDWI),
rainfall
were
used,
along
181
inventory
points,
models.The
proposed
models
evaluated
using
receiver
operating
characteristic
(ROC)
curve,
area
under
curve
(AUC),
root-mean-square
error
(RMSE),
mean
absolute
(MAE).The
results
showed
that
predictions
most
accurate
XGB
model;
CB
came
second,
DNN
was
performed
least
well.About
4,990
km²
found
be
category
very
low
potential;
3,045
category;
2,426
classified
as
moderate,
2,665
high,
2,007
high.The
methodology
used
creating
maps.This
approach,
can
provide
valuable
information
factors
influencing
assist
decisionmakers
or
developers
managing
resources
sustainably.It
also
supports
territory,
including
tourism.This
other
geographic
a
small
change
input
data.
Groundwater
pollution
is
challenging
the
major
source
of
safe
drinking
water
in
both
rural
and
urban
areas.
The
study
evaluated
groundwater
quality
by
analyzing
bio-physicochemical
parameters
randomly
selected
samples
from
wells
boreholes
Dass
using
Weighted
Arithmetic
Water
Quality
Index
(WAWQI)
Synthetic
Pollution
(SPI).
Crosstabulation,
Chi-square
analysis,
Pseudo
F-statistics,
Factor
correlation
analysis
were
carried
out
to
validate
models
against
land
use
cover
area.
distribution
was
achieved
GIS
interpolation
for
WAWQI
SPI.
result
research
revealed
that
categorized
5%
as
excellent,
40%
good,
15%
poor,
unsuitable
drinking.
SPI
model
5%,
40%,
20%,
35%
respectively.
spatial
central
part
characterized
a
high
number
people
generally
unsuitable.
validation
better
than
based
on
p-value
0.01
compared
with
0.5.
Further
highest
communality
coefficient
shows
correlations
0.73,
0.72,
0.97
total
dissolved
solids,
electrical
conductivity,
Manganese
respectively
0.60,
0.99.
Urban Water Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: Dec. 25, 2024
This
study
assessed
land-use
impacts
on
surface-water
quality
and
explored
relationships
between
water
indexes
with
parameters.
Twenty-seven
samples,
collected
from
canals
located
in
agricultural,
industrial,
residential
areas,
were
analyzed
for
22
Water
index
(WQI),
heavy
metal
pollution
(HPI),
(MQI)
results
showed
poor
to
very
across
all
land
uses.
Agriculture
had
the
highest
WQI
(39),
followed
by
(12)
industrial
areas
(7).
Industrial
exhibited
HPI
MQI,
indicating
higher
areas.
Stepwise
multiple
regression
analysis
revealed
a
significant
correlation
electrical
conductivity
chemical
oxygen
demand
(COD),
explaining
71%
of
variance.
Discriminant
differentiated
three
uses
100%
accuracy
using
turbidity,
COD,
biochemical
demand,
Mg,
and,
Na.
Tailored
management
strategies
should
be
developed
each
land-used
type
improve
urban
