Geocarto International,
Год журнала:
2021,
Номер
37(22), С. 6442 - 6473
Опубликована: Июнь 5, 2021
The
present
study
has
proposed
three
novel
hybrid
models
by
integrating
traditional
ensemble
models,
such
as
random
forest,
logitboost,
and
naive
bayes,
six
newly
developed
of
rotation
forest
(RF),
decision
tree
(RF-DT),
J48
(DF-J48),
bayes
(RF-NBT),
neural
network
(RF-NN),
M5P
(RF-M5P)
REPTree
(RF-REPTree),
with
statistical
i.e.
weight
evidence,
logistic
regression
combination
WOE
LR.
To
predict
the
groundwater
potential,
nine
potential
conditioning
parameters
have
been
created.
Information
Gain
Ratio
used
to
evaluate
impact
each
parameter.
ROC
curve
validate
models.
According
findings,
15
30%
area
a
very
high
or
potentiality.
Furthermore,
validation
results
revealed
that
RF
based
ensembles
outperformed
other
standalone
for
modelling.
Sustainability,
Год журнала:
2022,
Номер
14(3), С. 1830 - 1830
Опубликована: Фев. 5, 2022
Groundwater
depletion
is
one
of
the
most
critical
concerns
for
users
and
policymakers.
Identifying
groundwater
potential
(low
to
high)
helps
properly
plan
available
resource.
This
study
has
used
possibilities
a
geographical
information
system
(GIS),
remote
sensing
and,
course,
field
data
delineate
zones
in
Chennai
River
Basin
(CRB).
Thematic
layers
generated
eleven
controlling
factors,
such
as
geology,
water
level,
drainage,
soil,
lineament,
rainfall,
land
use,
slope,
aspect,
geomorphology,
depth
bedrock,
were
brought
into
GIS
environment.
Then,
appropriate
weightage
was
given
each
layer
using
multi-criteria
decision-making
technique,
namely,
analytic
hierarchical
process
(AHP).
A
map
weighted
overlay
analysis,
with
following
five
classes:
very
poor,
moderate,
good,
good.
The
results
comparable
actual
specific
yield
from
accuracy
78.43%.
Thus,
AHP-aided
GIS–RS
mapping
useful
tool
prospecting
this
region
world.
Water,
Год журнала:
2022,
Номер
14(15), С. 2393 - 2393
Опубликована: Авг. 2, 2022
Ensuring
water
availability
for
agriculture
and
drinking
supply
in
semi-arid
mountainous
regions
requires
control
of
factors
influencing
groundwater
availability.
In
most
cases,
the
population
draws
its
needs
from
alluvial
aquifers
close
to
villages
that
are
already
limited
influenced
by
current
climatic
change.
addition,
establishment
deep
wells
hard
rock
depletes
aquifer.
Hence,
understanding
is
an
urgent
requirement.
The
use
geographic
information
system
(GIS),
remote
sensing
(RS),
together
with
decision-making
methods
like
analytical
hierarchy
process
(AHP)
will
be
good
aid
this
regard.
Tata
basin,
located
SE
Morocco,
ten
were
used
explain
potentiality
map
(GWPM).
Five
categories
potential
zones
determined:
very
low
(8.67%),
(17.74%),
moderate
(46.77%),
high
(19.95%),
(6.87%).
efficiency
AHP
model
validated
using
ROC
curve
(receiver
operating
characteristics)
which
revealed
a
correlation
between
spatial
distribution
flow
wells.
Geophysical
prospecting,
electrical
resistivity
profiles,
has
made
it
possible
propose
new
well
sites.
It
corresponds
conductive
coincide
intersection
hydrogeological
lineaments.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 20, 2024
The
management
of
groundwater
systems
is
essential
for
nations
that
rely
on
as
the
principal
source
communal
water
supply
(e.g.,
Mohmand
District
Pakistan).
work
employed
Remote
Sensing
and
GIS
datasets
to
ascertain
recharge
zones
(GWRZ)
in
Pakistan.
Subsequently,
a
sensitivity
analysis
was
conducted
examine
impact
geology
hydrologic
factors
variability
GWRZ.
GWRZ
determined
by
employing
weighted
overlay
thematic
maps
derived
from
about
drainage
density,
slope,
geology,
rainfall,
lineament
land
use/land
cover,
soil
types.
use
multi-criteria
decision
(MCDA)
involves
utilization
multi-influencing
factor
(MIF)
analytical
hierarchy
procedure
(AHP)
allocate
weights
selected
influencing
factors.
MIF
data
found
very
high
spanned
1.20%,
covered
40.44%,
moderate
50.81%,
low
7.54%.
In
comparison,
AHP
technique
results
suggest
1.81%
whole
area
high,
33.26
55.01%
moderate,
9.92%
has
potential.
geospatial-assisted
approach
helps
increase
conceptual
knowledge
resources
evaluate
possible
zones.
