Sustainable Water Resources Management,
Journal Year:
2024,
Volume and Issue:
10(6)
Published: Nov. 25, 2024
Abstract
Groundwater
is
crucial
for
the
growth
of
any
country.
It
a
vital
resource
drinking
water,
agriculture,
industry,
and
economic
development.
However,
delineating
groundwater
potential
zones
requires
systematic
approach.
This
study
assessed
(GWPZ)
in
Ntabankulu
municipality
using
remote
sensing,
geographic
information
systems,
analytical
hierarchical
process
(AHP)
techniques.
Six
controlling
parameters
were
integrated
to
assess
zones,
including
lithology,
slope,
lineaments
density,
land
use/land
cover,
drainage
rainfall.
The
AHP
pairwise
comparison
matrix
was
utilized
determine
normalized
weight
parameters.
their
classes
assigned
ranks,
taking
into
account
influence
on
accumulation.
resultant
GWPZ
map
generated
by
integrating
weights
ArcGIS
10.8
software.
final
from
technique
showed
five
GWPZ,
very
poor
(13.06%),
(25.36%),
moderate
(26.93%),
good
(22.72%),
(11.93%).
Validation
done
existing
242
boreholes
area.
Furthermore,
receiver
operating
characteristics
(ROC)
curve
plotted,
area
under
(AUC)
analysis
indicated
satisfactory
accuracy
prediction
(AUC
=
61%).
results
this
will
assist
developing
proper
plan
sustainable
utilization
resources
within
municipality.
Air Soil and Water Research,
Journal Year:
2025,
Volume and Issue:
18
Published: Jan. 1, 2025
Groundwater
is
an
invaluable
natural
resource
that
sustains
human
life
and
supports
the
economic
development
of
nations.
However,
its
unsustainable
utilization
has
emerged
as
a
critical
issue,
particularly
in
developing
countries.
This
study
investigates
groundwater
potential
Chemoga
watershed
to
address
these
challenges.
Conventional
assessments
have
typically
relied
on
labor-intensive
time-consuming
field
surveys,
which
are
resource-demanding
often
fail
provide
accurate
estimates
due
inherent
complexity
systems.
In
response,
this
research
utilizes
geospatial
analytic
hierarchy
process
(AHP)
techniques
assess
Watershed,
aiming
overcome
Eight
biophysical
environmental
factors:
geology,
slope,
rainfall,
land
use/land
cover
(LULC),
soil
type,
elevation,
lineament
density,
drainage
density
were
selected
for
analysis
using
Saaty’s
AHP
methodology.
Data
was
gathered
from
satellite
imagery,
existing
thematic
maps,
local
water
offices,
national
meteorological
agencies.
The
integration
maps
performed
through
weighted
overlay
ArcGIS
10.8,
resulted
delineation
zones
(GWPZ).
model
validated
by
cross-referencing
generated
GWPZ
with
data
dug
wells
boreholes.
results
reveal
five
zones:
very
high
(0.73%),
(24.39%),
moderate
(43.38%),
poor
(31.25%),
(0.25%).
most
suitable
south,
southeast,
southwest
watershed,
near
Debre
Markos
Town.
These
high-potential
significant
81.5%
match
ground
truth
shallow
wells.
findings
crucial
insights
decision-makers,
enabling
formulation
more
effective
management
strategies.
By
identifying
cost-effective
well
sites,
contributes
ensuring
sustainable
supply
Water,
Journal Year:
2025,
Volume and Issue:
17(2), P. 240 - 240
Published: Jan. 16, 2025
This
study
was
conducted
to
determine
potential
groundwater
storage
areas
in
the
semi-arid
Oltu
Basin
northeastern
Turkey.
The
of
basin
analyzed
by
evaluating
eight
geographical
factors:
lithology,
linear
density,
soil
depth,
land
use,
precipitation,
geomorphology,
slope,
and
drainage
density.
These
factors
were
classified
weighted
using
remote
sensing,
information
systems
(GIS),
analytic
hierarchy
process
(AHP).
obtained
data
modeled
ArcGIS
software,
a
map
created.
results
show
that
there
is
high
close
stream
bed,
while
low
mountainous
steeply
sloped
regions.
provides
significant
findings
for
sustainable
water
resource
management
region
future
resources
planning.
Hydrological Processes,
Journal Year:
2025,
Volume and Issue:
39(1)
Published: Jan. 1, 2025
ABSTRACT
The
contemporary
era
is
marked
by
the
faster
exploitation
of
groundwater
resources
due
to
combined
effects
burgeoning
population
and
rapid
industrialisation.
This
study
tries
delineate
potential
zones
(GWPZs)
in
a
fragile
agriculturally
dominant
watershed
North‐East
India
using
GIS‐based
multi‐criteria
decision
analysis
(MCDA)
approach
Analytical
Hierarchy
Process
(AHP)
technique.
has
undertaken
10
influencing
factors:
geomorphology,
geology,
land
use/land
cover
(LU/LC),
drainage
density,
rainfall,
soil
texture,
slope,
lineament
topographic
wetness
index
(TWI)
normalised
difference
water
(NDWI).
Suitable
weights
for
parameters
are
assigned
according
their
relative
importance
association
with
storage
based
on
pairwise
comparison
matrix
(PCM).
Four
GWPZs
respective
coverages
namely
poor
(3.39%),
moderate
(24.98%),
good
(33.36%)
excellent
(38.27%)
categories
found.
central
southern
parts
area
covering
portion
Udalguri,
Sonitpur
Darrang
districts
Assam
have
porous
geological
settings
floodplains,
indicating
high
potentiality.
In
contrast,
northern
part
hard
rugged
terrain
lacks
storage.
Incorporating
socio‐economic
aspect,
particularly
number
villages
or
without
access
suitable
groundwater,
significantly
enhances
study's
utility.
outcome
cross‐verified
well
data
obtained
from
Central
Groundwater
Board
(CGWB)
field
which
validated
receiver
operating
characteristics
(ROC)
curve
resulting
an
accuracy
72.9%.
Hence,
this
inquiry
implications
both
regional
global
significance
will
assist
stakeholders
authorities
creating
roadmap
sustainable
effective
use.
Global Challenges,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 27, 2025
Abstract
This
study
investigates
the
groundwater
potential
zones
in
Ziway
Lake
watershed
of
Ethiopia's
rift
valley
using
a
GIS‐based
multi‐criteria
decision
analysis
within
Analytical
Hierarchy
Process
(AHP).
Environmental
factors,
including
recharge,
lithology,
elevation,
lineament
density,
and
drainage
are
analyzed.
The
soil
water
assessment
tool
(SWAT)
model
is
applied
to
estimate
recharge
for
watershed.
performance
SWAT
model,
evaluated
based
on
observed
streamflow
at
Katar
Meki
stations,
demonstrates
good
during
calibration
validation
phases.
watershed's
classified
as
Very
low
(18.01%),
Low
(17.62%),
Moderate
(12.05%),
High
(28.34%),
(23.98%).
Groundwater
integrated
with
drinking
quality
index
GIS,
showing
that
(39.72%)
very
high
areas
have
excellent
quality.
Results
show
over
half
has
moderate
potential,
identifying
critical
sustainable
management.
findings
provide
useful
guidance
key
exploration
conservation,
offering
practical
approach
can
be
other
regions
ensure
Water,
Journal Year:
2025,
Volume and Issue:
17(10), P. 1422 - 1422
Published: May 9, 2025
Despite
the
increasing
adoption
of
machine
learning
and
data-driven
models
for
predicting
regional
groundwater
potential
(GWP),
exploration
geoscientists
have
recognized
that
these
still
face
various
challenges
in
their
predictive
precision.
For
instance,
stochastic
uncertainty
associated
with
incomplete
investigation
inventories
inherent
non-transparency
characteristic
models,
which
lack
transparency
regarding
how
input
features
influence
outcomes,
pose
significant
challenges.
This
research
constructs
a
bagging-based
framework
integrates
Positive–Unlabeled
samples
(BPUL),
along
ex-post
interpretability,
to
map
GWP
Lijiang
River
Basin
China,
renowned
karst
region.
this
purpose,
we
first
aggregated
topographic,
hydrological,
geological,
meteorological,
land
conditional
factors.
The
training
were
enhanced
data
from
subterranean
stream
investigated
study
area,
addition
conventional
such
as
wells,
boreholes,
springs.
We
employed
BPUL
algorithm
four
different
base
learners—Logistic
Regression
(LR),
k-nearest
neighbor
(KNN),
Random
Forest
(RF),
Light
Gradient
Boosting
Machine
(LightGBM)—and
model
validation
was
conducted
regions.
findings
indicate
all
exhibit
satisfactory
performance
mapping,
hybrid
ensemble
(RF-BPUL
LightGBM-BPUL)
achieving
higher
scores.
interpretation
SHAP
values
revealed
contribution
patterns
factors
distribution
zones,
emphasizing
lithology,
multiresolution
index
valley
bottom
flatness
(MRVBF),
geochemical
element
calcium
oxide
(CaO)
most
impact
on
enrichment
zones.
These
offer
new
approaches
methodologies
in-depth
scientific
prediction
potential.
Water,
Journal Year:
2025,
Volume and Issue:
17(11), P. 1586 - 1586
Published: May 23, 2025
Groundwater
constitutes
the
primary
source
of
liquid
freshwater
on
Earth
and
is
essential
for
ecosystems,
agriculture,
human
consumption.
However,
rising
demand,
urbanization,
climate
change
have
intensified
groundwater
depletion,
particularly
in
semi-arid
regions.
Therefore,
assessing
recharge
zones
sustainable
water
resource
management
vulnerable
areas
such
as
Dera
Ismail
Khan,
Pakistan.
This
study
aims
to
delineate
potential
(GWPZs),
using
an
integrated
approach
combining
Geographic
Information
System
(GIS),
remote
sensing
(RS),
analytical
hierarchy
process
(AHP).
Twelve
factors
were
identified
a
conducted
GIS-based
AHP
determine
region.
These
include
land
use/land
cover
(LULC),
rainfall,
drainage
density,
soil
type,
slope,
road
table
depth,
indices
Normalized
Difference
Vegetation
Index
(NDVI),
Built-up
(NDBI),
Moisture
Stress
(MSI),
Worldview
Water
(WVWI),
Land
Surface
Temperature
(LST).
The
results
show
that
17.52%
2.03%
area
“good”
“very
good”
recharge,
respectively,
while
48.63%
has
“moderate”
potential.
Furthermore,
gentle
slopes
(0–2.471°),
high
shallow
depths
(20–94
m),
densely
vegetated
(with
NDVI)
are
considered
important
influencing
recharge.
Conversely,
with
steep
slopes,
temperatures,
dense
built-up
showed
“poor”
demonstrates
effectiveness
integrating
advanced
model
context,
validated
through
high-accuracy
field
data
(Kappa
=
0.93).
methodology
offers
cost-effective
decision
support
tool
planning
similar
environments.