International Soil and Water Conservation Research,
Journal Year:
2021,
Volume and Issue:
9(3), P. 433 - 444
Published: April 26, 2021
The
Revised
Universal
Soil
Loss
Equation
(RUSLE)
is
widely
used
to
estimate
regional
soil
erosion.
However,
quantitative
impacts
of
and
water
conservation
(SWC)
measures
on
practice
factor
(P)
the
RUSLE
remain
largely
unclear,
especially
for
mountainous
hilly
areas.
In
this
study,
we
improved
by
considering
different
SWC
P
value.
was
validated
against
long-term
(2000–2015)
erosion
monitoring
data
obtained
from
96
runoff
plots
(15–35°)
in
areas
Hubei
Province,
China;
result
presented
a
high
accuracy
with
determination
coefficient
0.89.
Based
2018
2019,
Root
Mean
Square
Error
28.0%
smaller
than
that
original
decrement
19.6%–24.0%
average
values,
indicating
modelling
significantly
enhanced
RUSLE.
Relatively
low
values
appeared
farmlands
tillage
(P
<
0.53),
grasslands
engineering
0.23),
woodlands
biological
0.28),
other
land
use
types
0.51).
modulus
showed
downward
trend
corresponding
1681.21,
1673.14,
1594.70,
1482.40
1437.50
t
km−2
a−1
2000,
2005,
2010,
2015
respectively.
applicability
verified
measurements
typical
China,
arrangements
area
were
proposed.
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.
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.
HydroResearch,
Journal Year:
2024,
Volume and Issue:
7, P. 315 - 325
Published: Jan. 1, 2024
The
current
investigation
was
conducted
in
the
Murredu
watershed,
situated
India.
essential
datasets,
such
as
digital
elevation
model
(DEM),
soil,
land
use
cover
(LULC),
and
rainfall
parameters,
were
processed
analysed
using
a
Geographic
Information
System
(GIS)
environment.
research
utilised
revised
universal
soil
loss
equation
(RUSLE)
analysis
to
assess
mean
watershed.
annual
calculated
be
14.06
t/ha/year,
which
is
high
erosion
risk.
RUSLE
results
indicate
good
outcome
with
an
accuracy
of
72.8%.
Furthermore,
area
revealed
that
sub-watersheds
(SW)
2
SW
14
had
maximum
minimum
loss,
respectively.
SDR
for
known
Murredu,
0.227.
watershed
outlet
received
sediment
transfer
rate
3.19
t/ha/year.
Through
investigation,
it
determined
average
yield,
while
11
minimum.
This
provides
valuable
insights
stakeholders,
decision-makers,
policymakers
regarding
sustainable
ways
managing
watersheds.
