Geocarto International,
Journal Year:
2021,
Volume and Issue:
37(25), P. 7881 - 7907
Published: Sept. 27, 2021
Landslides
are
most
catastrophic
and
frequently
occurred
across
the
world.
In
mountainous
areas
of
globe,
recurrent
occurrences
landslide
have
caused
huge
amount
economic
losses
a
large
number
casualties.
this
research,
we
attempted
to
estimate
potential
impact
climate
LULC
on
future
susceptibility
in
Markazi
Province
Iran.
We
considered
boosted
tree
(BT),
random
forest
(RF)
extremely
randomized
(ERT)
models
for
assessment
Province.
The
results
evaluation
criteria
showed
that
ERT
model
is
optimal
than
other
used
study
with
AUC
values
0.99
0.93
training
validation
datasets,
respectively.
According
model,
spatial
coverage
very
high
land
slide
susceptible
zones
current
period,
2050s
considering
RCP
2.6
8.5
428.5
km2,
439.6
km2
465.2
From
analysis
it
clear
changes
prominent.
present
help
managers
reduce
damages,
not
only
but
also
conditions,
based
changes.
Hydrological Sciences Journal,
Journal Year:
2022,
Volume and Issue:
67(5), P. 806 - 830
Published: Jan. 6, 2022
The
Revised
Universal
Soil
Loss
Equation
(RUSLE)
is
the
most
widely
used
global
soil
erosion
model.
poor
performance
of
RUSLE
solely
dependent
on
inherent
structure
model
to
account
for
phenomena
under
varying
topographic
and
climatic
conditions.
Considering
extensive
application
model,
it
high
time
in
research
identify
suitability
In
this
context,
a
global-scale
review
was
carried
out
best
possible
conditions
its
reliable
where
yielded
performance.
still
frequently
operational
simulation
despite
numerous
deficiencies,
weaknesses,
limitations.
Nevertheless,
over
large
ungauged
areas
remains
real
challenge
due
non-availability
quality
required
inputs.
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: March 3, 2023
Land
degradation
has
become
one
of
the
major
threats
throughout
globe,
affecting
about
2.6
billion
people
in
more
than
100
countries.
The
highest
rate
land
is
Asia,
followed
by
Africa
and
Europe.
Climate
change
coupled
with
anthropogenic
activities
have
accelerated
developing
nations.
In
India,
affected
105.48
million
hectares.
Thus,
modeling
mapping
soil
loss,
assessing
vulnerability
threat
active
erosional
processes
a
region
are
challenges
from
water
conservation
aspects.
present
study
attempted
rigorous
to
estimate
loss
Banas
Basin
Rajasthan
state,
using
GIS-integrated
Revised
Universal
Soil
Loss
Equation
(RUSLE)
equation.
Priority
ranking
was
computed
for
different
watersheds
terms
degree
their
catchments,
so
that
appropriate
measures
can
be
implemented.
total
area
basin
(68,207.82
km
2
)
systematically
separated
into
25
ranging
113.0
7626.8
.
Rainfall
dataset
Indian
Meteorological
Department
30
years
(1990–2020),
FAO
based
map
characterization,
ALOS
PALSAR
digital
elevation
model
topographic
assessment,
Sentinal-2
use
cover
were
integrated
erosion/loss
risk
assessment.
annual
recorded
as
21,766,048.8
tons.
areas
under
very
low
(0–1
t
ha
-1
year
),
(1–5
medium
(5–10
high
(10–50
extreme
(>50
categories
24.2,
66.8,
7.3,
0.9,
0.7%,
respectively,
whereas
respective
average
values
obtained
0.8,
3.0,
6.0,
23.1,
52.0
among
range
1.1–84.9
,
being
(84.9
WS18,
WS10
(38.4
SW25
(34.7
WS23
(17.9
it
lowest
WS8
(1.1
).
WS18
highest/top
priority
rank
considered
first
planning
implementation.
quantitative
results
this
would
useful
implementation
problematic
controlling
through
erosion.
Journal of Hydrology Regional Studies,
Journal Year:
2023,
Volume and Issue:
47, P. 101373 - 101373
Published: April 5, 2023
Mahanadi
River
Basin
in
India
This
study
explores
the
effect
of
climate
change
and
human-induced
farming
construction
activities
on
soil
erosion
a
rainfed
basin
during
two
time
periods
viz.
1981–2000
2001–2019.
assesses
using
Geographic
Information
System
integrated
Revised
Universal
Soil
Loss
Equation
(GIS-integrated
RUSLE)
model.
Three
different
analyses
are
designed
to
assess
i)
combined
all
RUSLE
factors
over
these
periods,
ii)
only
land
use/cover
(LULC),
iii)
rainfall
impact
rate.
A
modified
sediment
delivery
ratio
(SDR)
has
been
proposed
model
performances
validated
observed
Sediment
Yield
data.
The
results
indicate
an
overall
decrease
rate
as
factors,
but
at
same
time,
increase
spatial
extent
areas
affected
by
is
noticed.
mean
varies
between
37.02
tons
ha⁻¹
yr⁻¹
31.89
ha⁻¹yr⁻¹
2001–2019,
with
40%
maximum
rate,
while
total
rates
both
down
13.85%
compared
1981–2000.
analysis
suggested
more
profound
than
LULC
change.
International Journal of Digital Earth,
Journal Year:
2023,
Volume and Issue:
16(1), P. 3105 - 3124
Published: Aug. 10, 2023
In
this
research,
we
used
the
Revised
Universal
Soil
Loss
Equation
(RUSLE)
and
Geographical
Information
System
(GIS)
to
predict
annual
rate
of
soil
loss
in
District
Chakwal
Pakistan.
The
parameters
RUSLE
model
were
estimated
using
remote
sensing
data,
erosion
probability
zones
determined
GIS.
length
slope
(LS),
crop
management
(C),
rainfall
erosivity
(R),
erodibility
(K),
support
practice
(P)
range
from
0–68,227,
0–66.61%,
0–0.58,
495.99–648.68
MJ/mm.t.ha−1.year−1,
0.15–0.25
1
respectively.
results
indicate
that
total
potential
approximately
4,67,064.25
t.ha−1.year−1
is
comparable
with
measured
sediment
11,631
during
water
year
2020.
predicted
due
an
increase
agricultural
area
164,249.31
t.ha−1.year−1.
study,
also
Landsat
imagery
rapidly
achieve
actual
land
use
classification.
Meanwhile,
38.13%
region
was
threatened
by
very
high
erosion,
where
quantity
ranged
365487.35
Integrating
GIS
helped
researchers
their
final
objectives.
Land-use
planners
decision-makers
result's
spatial
distribution
for
conservation
planning.
