Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India
Advances in Space Research,
Год журнала:
2024,
Номер
74(3), С. 1197 - 1224
Опубликована: Май 10, 2024
Язык: Английский
Revisiting water resources management in the Mandara Mountains
Heliyon,
Год журнала:
2025,
Номер
11(1), С. e41692 - e41692
Опубликована: Янв. 1, 2025
This
article
evaluates
the
prospects
for
rainwater
harvesting
(RWH)
as
a
means
of
optimizing
water
management
in
Mandara
Mountains.
RWH
is
small-scale
conservation
approach
locally
intercepting
and
storing
rainfall
before
it
enters
usual
hydrologic
cycle.
ancient
practice
has
recently
sustained
lives
semiarid
areas
world
(e.g.
Brazil,
China),
but
not
yet
really
used
Mountains
Cameroon
where
people
are
still
lacking
safe
drinking
water.
Recently,
was
also
demonstrated
missing
puzzle
integrated
resources
(IWRM)
only
facing
scarcity.
The
present
aims
to
prepare
large
scale
Water
yields
estimated
residential
roofs,
administrative
confessional
buildings,
agricultural
farm
scale).
results
show
that
an
affordable,
applicable,
attractive
tool
both
rural
urban
communities
sustainably
solve
long-lasting
problem
lack
Moreover,
despite
short
rainy
season,
may
provide
enough
irrigation
mitigate
dry
spells
increase
livestock
productivity.
study
regarded
blueprint
planning
sustainable
Язык: Английский
Dynamic failure mechanisms and hazard evaluation of rock collapse induced by extreme rainfall in Changbai County highways
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 21, 2025
Rock
collapses
induced
by
extreme
rainfall
frequently
occur
along
highways
in
Changbai
County,
posing
serious
threats
to
traffic
safety
and
regional
sustainable
development.
This
study
introduces
a
slope-unit
zoning
approach
into
the
hazard
assessment
of
collapses,
integrating
UDEC
(Universal
Distinct
Element
Code)
numerical
simulation
GIS
(Geographic
Information
System)
technology
reveal
failure
mechanism
affected
areas
slopes
under
conditions.
By
employing
AHP-CV
(Analytic
Hierarchy
Process-Coefficient
Variation)
combined
weighting
method,
weights
nine
critical
indicators,
including
elevation,
slope,
slope
direction,
NDVI
(Normalized
Difference
Vegetation
Index),
were
quantified.
Pearson
Type
III
frequency
analysis
was
used
estimate
recurrence
periods,
collapse
distribution
different
probabilities
evaluated.
The
results
indicate
that
extremely
high
susceptibility
are
primarily
distributed
steep
with
fault
development
sparse
vegetation,
accounting
for
19.74%
total
area.
Under
100-year
return
condition,
proportion
high-hazard
increases
38.68%.
Increased
pore
water
pressure
reduced
shear
strength
joint
planes
identified
as
primary
causes
tensile-collapse
composite
slopes.
model
achieved
an
AUC
value
0.908,
demonstrating
reliability.
overcomes
limitations
traditional
grid-unit
methods
provides
scientific
insights
technical
support
analysis,
assessment,
prevention
geological
disasters
Язык: Английский
Spatial prioritization of groundwater resources in mountain region of Nepal: a GIS and AHP integrated framework
Water Science & Technology Water Supply,
Год журнала:
2024,
Номер
24(8), С. 2914 - 2932
Опубликована: Авг. 1, 2024
ABSTRACT
Climate
change
and
anthropogenic
activities
pose
major
challenges
to
water
resource
management
in
water-scarce
mountain
regions.
Managing
monitoring
groundwater
effectively
is
crucial
mitigating
these
challenges.
Understanding
resources
their
distribution
necessary
for
effective
management.
The
present
study
covers
Doramba
rural
municipality
of
Nepal.
It
employed
the
analytic
hierarchy
process
(AHP)
as
a
multi-criteria
decision-making
(MCDM)
tool
integrated
with
remote
sensing
(RS)
data
geospatial
techniques
identify
potential
zones
(GPZs).
parameters
analysis
include
drainage
density,
slope,
rainfall,
lineament
land
use/land
cover
(LULC),
soil,
geology,
curvature,
roughness,
topographic
wetness
index,
position
index.
These
11
thematic
layers
area
were
prioritized
using
Satty's
AHP
method
delineation
GPZs.
results
classified
into
very
high,
moderate,
low,
low
classes,
covering
26.71,
27.98,
46.61,
34.71,
4.89
km2,
respectively.
delineated
map
accuracy
was
confirmed
70.7%
prediction
rate
based
on
spatial
56
springs
area.
study's
can
be
applied
sustainable
region
other
areas
similar
hydrogeological
conditions.
Язык: Английский