Advanced groundwater potential and contamination vulnerability assessment using integrated GIS-based AHP techniques: A case study from the Bizerte watershed, Tunisia.
Environmental and Sustainability Indicators,
Год журнала:
2025,
Номер
unknown, С. 100597 - 100597
Опубликована: Янв. 1, 2025
Язык: Английский
Navigating the Paradox: Climate Change, Cutting-Edge Technologies, and Groundwater Sustainability
LatIA,
Год журнала:
2025,
Номер
3, С. 83 - 83
Опубликована: Фев. 19, 2025
This
article
explores
the
paradoxical
relationship
between
climate
change,
advanced
technologies,
and
groundwater
sustainability.
It
highlights
how
emerging
technologies
like
artificial
intelligence,
blockchain,
Internet
of
Things
(IoT)
offer
innovative
solutions
for
optimizing
management
while
addressing
change
impacts.
However,
chapter
also
warns
environmental
risks
associated
with
these
particularly
their
energy
consumption
e-waste
generation,
which
can
further
exacerbate
challenges.
The
examines
practical
applications
such
as
desalination,
precision
farming,
water
harvesting,
evaluating
contributions
to
footprints.
argues
that
net
impact
depends
largely
on
design,
implementation,
governance
frameworks.
research
identifies
best
practices
maximize
benefits
minimizing
negative
consequences.
work
addresses
key
issues
scarcity
need
sustainable
supplies
in
a
changing
climate.
underscores
importance
fresh
essential
industries,
including
agriculture,
production,
mineral
processing,
acknowledging
profound
effects
societal
shifts
traditional
sources.
discusses
technological
investments
management,
toxic
waste
emissions,
geopolitical
tensions,
corruption.
emphasizes
emissions
from
processes
contribute
significantly
rising
atmospheric
temperatures
vapor
levels,
intensifying
change.
concludes
by
advocating
holistic
approach
balancing
costs,
benefits,
technologies.
potential
green
engineering
advancements
efficient
treatment
methods,
desalination
cleaner
urban
designs,
sustainably
provide
various
uses.
integrates
data
analytics
public
health
performance
metrics
establish
safe
industry
targets
calls
responsible
ensure
positively
both
sustainability
mitigation.
Язык: Английский
A Participatory GIS-based Multicriteria Decision Analysis Approach to Map the Geospatial Feasibility of Managed Aquifer Recharge in a Tunisian Coastal Watershed
Environmental Processes,
Год журнала:
2025,
Номер
12(2)
Опубликована: Апрель 25, 2025
Язык: Английский
Rising Threats to Groundwater Recharge: Adaptive Strategies for the Sahel Under Climate Change
Groundwater for Sustainable Development,
Год журнала:
2025,
Номер
unknown, С. 101468 - 101468
Опубликована: Май 1, 2025
Язык: Английский
A Hybrid Approach for Assessing Aquifer Health Using the SWAT Model, Tree-Based Classification, and Deep Learning Algorithms
Water,
Год журнала:
2025,
Номер
17(10), С. 1546 - 1546
Опубликована: Май 21, 2025
Aquifer
health
assessment
is
essential
for
sustainable
groundwater
management,
particularly
in
semi-arid
regions
with
challenging
geological
conditions.
This
study
presents
a
novel
methodology
assessing
aquifer
the
Barakar
River
Basin,
hard-rock
terrain,
by
integrating
tree-based
classification,
deep
learning,
and
Soil
Water
Assessment
Tool
(SWAT)
model.
Employing
Random
Forest,
Decision
Tree,
Convolutional
Neural
Network
(CNN)
models,
research
examines
20
influential
factors,
including
hydrological,
water
quality,
socioeconomic
variables,
to
classify
into
four
categories:
Good,
Moderately
Semi-Critical,
Critical.
The
CNN
model
exhibited
highest
predictive
accuracy,
identifying
33%
of
basin
as
having
good
health,
while
Forest
assessed
27%
Critical
heath.
Pearson
correlation
analysis
CNN-predicted
indicates
that
recharge
(r
=
0.52),
return
flow
0.50),
fluctuation
0.48)
are
most
positive
factors.
Validation
results
showed
performed
strongly,
precision
0.957,
Area
Under
Curve–Receiver
Operating
Characteristic
(AUC-ROC)
0.95,
F1
score
0.828,
underscoring
its
reliability
robustness.
Geophysical
Electrical
Resistivity
Tomography
(ERT)
field
surveys
validated
these
classifications,
high-
low-aquifer
zones.
enhances
understanding
dynamics
robust
broader
applicability
management
worldwide.
Язык: Английский
Delineation of Groundwater potential zone using Geospatial and AHP techniques in Ken River Basin (KRB) in Central India
Discover Water,
Год журнала:
2024,
Номер
4(1)
Опубликована: Авг. 23, 2024
Groundwater
is
the
most
salient
and
utilitarian
water
resource
for
living
organisms.
However,
major
parts
of
Ken
River
Basin
(KRB)
in
Central
India
are
grappling
with
overexploitation
groundwater
resources,
primarily
due
to
extensive
agricultural
activities,
raising
problems
achieving
Sustainable
Development
Goals
(SDGs)
2
6.
This
study
focused
on
delineating
potential
zones
(GPZ)
by
employing
remote
sensing
GIS-based
thematic
datasets,
complemented
application
Analytic
Hierarchy
Process
(AHP).
The
layers
consisting
geomorphology,
precipitation,
geology,
soil
texture,
lineament
density,
slope,
LULC,
drainage
density
were
considered
further
weights
allocated
respect
their
storing
capacity
characteristics
occurrences
develop
GPZs.
generated
classifying
overlayed
maps
into
four
categories
namely,
very
low,
moderate,
high.
key
findings
indicated
that
13.84%,
62.34%,
23.37%,
45%
areas
found
under
high,
low
GPZs
respectively.
Furthermore,
zonation
map
was
validated
48
boreholes'
yield,
which
revealed
a
noteworthy
77.08%
borewells
concurrence
predicted
zones.
Area
Under
Receiver
Operating
Characteristic
(AUROC)
curve
showcased
commendable
70.1%
accuracy
using
ROC
curve.
These
results
highly
beneficial
formulating
sustainable
management
plans
policies,
contributing
towards
attainment
targets
outlined
SDGs
6,
particularly
regions
resembling
KRB.
Язык: Английский