Assessing groundwater potential for mitigating salinity issues in agricultural areas of southern Dong Nai province, Vietnam
Van The Pham,
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Tuyet Anh Thi,
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Hau Duc Tran
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et al.
Groundwater for Sustainable Development,
Journal Year:
2024,
Volume and Issue:
25, P. 101177 - 101177
Published: April 18, 2024
Language: Английский
Assessment of Groundwater Potential Zones Utilizing Geographic Information System-Based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Preference by Similarity to Ideal Solution Methods: A Case Study in Mersin, Türkiye
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(5), P. 2202 - 2202
Published: March 6, 2024
The
indiscriminate
use
of
surface
water
has
heightened
the
demand
for
groundwater
supplies.
Therefore,
it
is
critical
to
locate
potential
sources
develop
alternative
resources.
Groundwater
detection
tremendously
valuable,
as
sustainable
management.
Mersin,
in
southern
Türkiye,
expected
confront
drought
shortly
due
increased
population,
industry,
and
global
climate
change.
zones
Mersin
were
determined
this
study
by
GIS-based
AHP,
VIKOR,
TOPSIS
methods.
Fifteen
parameters
used
goal.
area
was
separated
into
five
categories.
results
show
that
can
be
divided
“Very
High”
(4.98%,
5.94%,
7.96%),
followed
“High”
(10.89%,
10.32%,
16.50%),
“Moderate”
(60.68%,
52.41%,
51.56%),
“Low”
(21.28%,
28.53%,
20.90%),
Low”
(2.18%,
2.80%,
3.07%)
turn.
Data
from
60
wells
validate
ROC-AUC
technique
utilized
this.
It
seen
performance
VIKOR
model
better
than
AHP
(76.5%).
findings
demonstrated
methods
are
reliable
We
believe
will
also
help
decision
makers
purpose.
Language: Английский
Multi-criteria decision-making techniques for groundwater potentiality mapping in arid regions: A case study of Wadi Yiba, Kingdom of Saudi Arabia
Nuaman Ejaz,
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Aftab Haider Khan,
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Muhammad Waqar Saleem
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et al.
Groundwater for Sustainable Development,
Journal Year:
2024,
Volume and Issue:
26, P. 101223 - 101223
Published: June 4, 2024
Language: Английский
Comparing the effectiveness of landslide susceptibility mapping by using the Frequency ratio and hybrid MCDM models
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
unknown, P. 103205 - 103205
Published: Oct. 1, 2024
Language: Английский
Detection of groundwater conditioning factors in a hilly environment
Applied Water Science,
Journal Year:
2024,
Volume and Issue:
14(4)
Published: March 29, 2024
Abstract
Champhai,
the
rice
bowl
of
Mizoram,
is
known
for
wet
practices.
Rapid
urbanization
and
global
climate
change
increased
demand
groundwater.
Champhai
city,
being
a
hilly
township
in
northeast
India,
very
difficult
to
identify
potential
groundwater
water
availability.
The
present
study
aimed
at
potentiality
zonation
town.
For
these
purposes
ten
(10)
factors
from
topographic,
climatic,
hydrological
other
conditions
were
assigned
weightage
based
on
AHP
(analytical
hierarchy
process)
technique.
aspect
was
given
maximum
as
working
controlling
precipitation
intensity,
vegetation
soil
type,
while
LULC
(land
use
land
cover)
minimum
that
unscientific
human
activities
reduced
infiltration
rate.
Subsequently,
an
addition
weighted
rasters
performed
zonation.
As
result,
it
seen
part
area
covered
low
zones
(31.88%),
whereas
high
zone
14.73%
5.08,
respectively.
A
scientific
validation
technique,
namely
AUC
(area
under
curve)
value
0.737,
denoted
good
classified
zone.
Further,
single-layer
sensitivity
analysis
highlighted
elevation,
slope,
aspect,
number,
distance
streams
rainfall
had
effective
their
weightage.
map
removal
TWI
(Topographic
Wetness
Index)
influence
model.
However,
environment
like
output
current
will
work
blueprint
planning
decision
making.
Language: Английский
Land-use/cover change and future prediction by integrating the ML techniques of random forest and CA-Markov chain model of the Ganges alluvial tract of Eastern India
Kailash Chandra Roy,
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David Durjoy Lal Soren,
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Brototi Biswas
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et al.
Environment Development and Sustainability,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 25, 2024
Language: Английский
Delineation of Groundwater Potential Using the Bivariate Statistical Models and Hybridized Multi-Criteria Decision-Making Models
Water,
Journal Year:
2024,
Volume and Issue:
16(22), P. 3273 - 3273
Published: Nov. 14, 2024
Identifying
groundwater
potential
zones
in
a
basin
and
developing
sustainable
management
plan
is
becoming
more
important,
especially
where
surface
water
scarce.
The
main
aim
of
the
study
to
prepare
maps
(GWPMs)
considering
bivariate
statistical
models
frequency
ratio
(FR),
weight
evidence
(WoE),
multi-criteria
decision-making
(MCDM)
model
Technique
for
Order
Preference
by
Similarity
an
Ideal
Solution
(TOPSIS)
hybridized
with
FR
WoE.
Two
distance
measures,
Euclidean
Manhattan,
were
used
TOPSIS
evaluate
their
effect
on
GWPMs.
research
focused
Burdur
Lake
catchment
located
southwest
Türkiye.
In
total,
74
wells
high
yields
chosen
randomly
analysis,
52
(70%)
training,
22
(30%)
testing
processes.
Sixteen
conditioning
factors
selected.
area
under
receiver
operating
characteristic
(AUROC)
true
skill
statistics
(TSS)
utilized
examine
goodness-of-fit
prediction
accuracy
approaches.
TOPSIS-WoE-Manhattan
WoE
gave
best
AUROC
values
0.915
0.944
training
processes,
respectively.
TSS
0.827
0.864
obtained
TOPSIS-FR-Euclidean
Language: Английский