Water,
Год журнала:
2024,
Номер
16(4), С. 566 - 566
Опубликована: Фев. 14, 2024
Groundwater
management
in
the
Jinan
Spring
basin
is
hampered
by
its
complex
topography,
overexploitation,
and
excessive
urbanisation.
This
has
led
to
springs
drying
up
during
dry
seasons
a
decrease
discharge
recent
years.
GIS
AHP
were
employed
delineate
groundwater
potential
zones
using
eight
thematic
layers:
slope,
geology,
lineament
density,
topographic
wetness
index
(TWI),
rainfall,
soil,
drainage
land
use/land
cover
(LULC).
The
model’s
accuracy
was
assessed
comparing
findings
observation
well
data.
We
found
that
74%
of
observations
matched
projected
zoning.
Further
validation
utilising
receiver
operating
characteristic
(ROC)
curve
gave
an
AUC
0.736.
According
study,
67.31%
good
GWPZ,
5.60%
very
one,
27.07%
medium,
0.03%
low.
Heavy
rains
throughout
rainy
season
raise
water
levels.
Dry
weather
lowers
study’s
conclusions
will
protect
from
climate
change.
Integrating
hydrogeological
data,
GIS,
remote
sensing,
approaches
maximises
data
use,
improves
zone
delineation,
promotes
sustainable
resource
decision
making.
integrated
method
can
help
use
planners,
hydrologists,
policymakers
find
optimal
locations
for
supply
projects,
establish
techniques,
reduce
risks.
Heliyon,
Год журнала:
2023,
Номер
9(3), С. e13966 - e13966
Опубликована: Фев. 23, 2023
The
global
groundwater
crisis
is
a
perplexing
issue,
and
for
its
resolution,
it
of
the
utmost
importance
delineating
potential
zones.
This
research
aims
to
create
precise
map
Bangladesh's
Jashore
district
by
combining
geospatial
approach
an
analytical
hierarchy
process.
Fourteen
parameters,
namely,
lineament
density,
drainage
land
use
cover,
slope,
curvature,
topographic
position
index,
wetness
rainfall,
geology,
roughness,
fractional
impervious
surface,
topsoil
texture,
soil
permeability,
general
types,
were
considered
study
after
extensive
literature
review.
weights
these
parameters
determined
using
process,
scores
each
sub-parameter
assigned
based
on
published
literature.
final
was
then
generated
weighted
overlay
analysis
tool
in
ArcGIS
10.3
categorized
into
five
classes.
reveals
that
very
high,
moderate,
low,
low
zones
cover
3.96
km
Environmental Sciences Europe,
Год журнала:
2024,
Номер
36(1)
Опубликована: Окт. 15, 2024
Abstract
Floods
are
the
most
common
and
costly
disasters
worldwide,
while
spatial
flood
risk
assessment
is
still
challenging
due
to
fewer
observations
method
limitations.
In
this
study,
zonation
in
Nile
districts
of
Damietta
branch,
Egypt,
delineated
assessed
by
integrating
remote
sensing
with
a
geographic
information
system,
an
analytical
hierarchy
process
(AHP).
Twelve
thematic
layers
(elevation,
slope,
normalized
difference
vegetation
index,
topographic
wetness
modified
water
positioning
stream
power
Fournier
drainage
density,
distance
river,
sediment
transport
lithology)
used
for
producing
susceptibility
(FSZ)
six
parameters
(total
population,
hospital,
land
use/land
cover,
population
road
road)
utilized
vulnerability
zonation.
Multicollinearity
analysis
applied
identify
highly
correlated
independent
variables.
Sensitivity
studies
have
been
assess
effectiveness
AHP
model.
The
results
indicate
that
high
very
classes
cover
21.40%
8.26%
area,
respectively.
14.07%,
27.01%,
29.26%
research
respectively,
zones
classified
as
low,
moderate
found.
Finally,
FSZ
validated
using
receiver
operating
characteristics
curve
area
under
(AUC)
analysis.
A
higher
AUC
value
(0.741)
validation
findings
demonstrated
validity
approach.
study
will
help
planners,
hydrologists,
managers
resources
manage
areas
susceptible
flooding
reduce
potential
harm.
Water,
Год журнала:
2024,
Номер
16(4), С. 566 - 566
Опубликована: Фев. 14, 2024
Groundwater
management
in
the
Jinan
Spring
basin
is
hampered
by
its
complex
topography,
overexploitation,
and
excessive
urbanisation.
This
has
led
to
springs
drying
up
during
dry
seasons
a
decrease
discharge
recent
years.
GIS
AHP
were
employed
delineate
groundwater
potential
zones
using
eight
thematic
layers:
slope,
geology,
lineament
density,
topographic
wetness
index
(TWI),
rainfall,
soil,
drainage
land
use/land
cover
(LULC).
The
model’s
accuracy
was
assessed
comparing
findings
observation
well
data.
We
found
that
74%
of
observations
matched
projected
zoning.
Further
validation
utilising
receiver
operating
characteristic
(ROC)
curve
gave
an
AUC
0.736.
According
study,
67.31%
good
GWPZ,
5.60%
very
one,
27.07%
medium,
0.03%
low.
Heavy
rains
throughout
rainy
season
raise
water
levels.
Dry
weather
lowers
study’s
conclusions
will
protect
from
climate
change.
Integrating
hydrogeological
data,
GIS,
remote
sensing,
approaches
maximises
data
use,
improves
zone
delineation,
promotes
sustainable
resource
decision
making.
integrated
method
can
help
use
planners,
hydrologists,
policymakers
find
optimal
locations
for
supply
projects,
establish
techniques,
reduce
risks.
