Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques
Sustainability,
Год журнала:
2025,
Номер
17(5), С. 2124 - 2124
Опубликована: Март 1, 2025
Sub-watershed
prioritization
using
morphometric
analysis
and
multi-criteria
decision-making
(MCDM)
techniques
is
a
systematic
approach
to
identifying
ranking
sub-watersheds
based
on
their
susceptibility
soil
erosion.
This
helps
in
implementing
targeted
conservation
measures.
In
this
study,
the
Narangi
basin
are
prioritized
by
employing
integrated
with
advanced
MCDM
techniques,
including
additive
ratio
assessment
(ARAS),
complicated
proportional
(COPRAS),
multi-objective
optimization
(MOORA),
technique
for
order
preference
similarity
ideal
solution
(TOPSIS).
Weights
various
methods
determined
criteria
importance
through
an
inter-criteria
correlation
(CRITIC:
method),
while
geospatial
ensure
precise
spatial
analysis.
The
results
provide
unified
of
sub-watersheds,
revealing
that
sub-watershed
3
(SW3)
SW9
high-priority
erosion
category;
SW1,
SW2,
SW5,
SW8
medium-priority;
SW4,
SW6,
SW7,
SW10
low-priority.
comprehensive
sustainability-oriented
equips
decision-makers
robust
tools
identify
manage
at
risk
erosion,
ensuring
long-term
sustainability
land
water
resources.
study
aligns
sustainable
development
goal
15
(life
land)
promotes
use
practices
combat
degradation.
Язык: Английский
Research on Soil Erosion Based on Remote Sensing Technology: A Review
Agriculture,
Год журнала:
2024,
Номер
15(1), С. 18 - 18
Опубликована: Дек. 25, 2024
Monitoring
and
assessing
soil
erosion
is
essential
for
reducing
land
degradation
ensuring
food
security.
It
provides
critical
scientific
insights
developing
effective
policies
implementing
targeted
preventive
measures.
The
emergence
of
remote
sensing
technology
has
significantly
bolstered
research,
empowering
researchers
to
comprehensively
accurately
understand
address
erosion-related
challenges.
Consequently,
become
pivotal
in
research
methodologies.
In
recent
years,
significant
progress
been
made
on
erosion.
This
study
aims
encapsulate
the
current
status
advancements
applications
research.
catalogs
commonly
used
data
sources
introduces
innovative
methodologies
detecting
soil-erosion-related
information
utilizing
technology.
Furthermore,
it
delves
into
analysis
acquisition
methods
factors
influencing
examines
crucial
role
prevalent
simulation
prediction
models.
Additionally,
this
identifies
existing
challenges
outlines
prospects
developmental
directions
emphasizing
its
potential
contribute
sustainable
management
practices
environmental
conservation
efforts.
Язык: Английский