Water,
Journal Year:
2024,
Volume and Issue:
16(21), P. 3108 - 3108
Published: Oct. 30, 2024
Dams
are
vital
for
irrigation,
power
generation,
and
domestic
water
needs,
but
siltation
poses
a
significant
challenge,
especially
in
areas
prone
to
erosion,
potentially
shortening
dam’s
lifespan.
The
Ahmed
El
Hansali
Dam
Morocco
faces
heightened
due
its
upstream
region
being
susceptible
erosion-prone
rocks
high
runoff.
This
study
estimates
the
at
dam
from
construction
up
2014
using
bathymetric
data
Brown
model,
which
is
widely-used
empirical
model
that
calculates
reservoir
trap
efficiency.
Additionally,
evaluates
impact
of
Land
Use
Cover
(LULC)
changes
projected
future
rainfall
until
around
2076
based
on
rates.
results
indicate
LULC,
particularly
temporal
variations
precipitation,
have
dam.
Notably,
strongly
correlated
with
rate,
an
R2
0.92.
efficiency
sediment
trapping
(TE)
97.64%,
meaning
97.64%
catchment
area
trapped
or
deposited
bottom
estimated
annual
specific
yield
about
32,345.79
tons/km2/yr,
accumulation
rate
approximately
4.75
Mm3/yr.
half-life
be
2076,
precipitation
projections
may
extend
this
timeframe
strong
correlation
between
precipitation.
soil
erosion
driven
by
land
management
practices
plays
crucial
role
dynamics.
Hence,
offers
comprehensive
assessment
dynamics
dam,
providing
essential
information
long-term
effects
use
changes,
climate
projections.
These
findings
assist
decision
makers
managing
sedimentation
more
effectively,
ensuring
durability
extending
life.
Scientific African,
Journal Year:
2023,
Volume and Issue:
22, P. e01930 - e01930
Published: Oct. 7, 2023
Soil
erosion
has
negative
effects
on
people
and
property,
hinders
the
sustainable
development
of
natural
resources,
poses
a
threat
to
economic
growth
territories
worldwide,
is
particularly
acute
for
African
countries.
Consequently,
identifying
prioritizing
areas
susceptible
this
phenomenon
crucial
implementation
efficient
preventative
measures.
In
study,
empirical
Erosion
Potential
Method
(EPM)
was
used
quantify
soil
losses,
two
Game
Theory
(GT)
algorithms
(Borda
Condorcet)
were
employed
identify
locations
prone
prioritize
sub-watershed
(SW)
based
hydromorphometric
characteristics
in
hydrological
system
from
High
Atlas
Morocco.
For
purpose,
26
factors
calculated,
subsequently,
linear
correlation
analysis
conducted
assess
relationship
between
potential
various
influencing
factors.
The
EPM
model
findings
indicated
average
loss
rates
roughly
3356
m3/km2/year,
which
are
corroborated
by
217
inventory
points
gathered
most
productive
sediment
locations,
with
an
AUC
value
80%.
results
prioritization
using
GT
show
that
SW6
SW8
classified
as
high
vulnerability
erosion,
sub-watersheds
located
upstream
Lakhdar
river
watershed
units
deserve
terms
planning
intervention.
validation
indicates
Borda
algorithm
performed
better
(AUC=
92%)
than
Condorcet
72%).
This
innovative
approach
enhances
our
understanding
erosive
processes
within
specific
spatial
units,
enabling
informed
decision-making
making
substantial
contribution
management
water
resources.
represents
significant
advancement
compared
previous
studies
region.
River Research and Applications,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 23, 2024
Abstract
Fluvial
hazards
of
river
mobility
and
flooding
are
often
problematic
for
road
infrastructure
need
to
be
considered
in
the
planning
process.
The
extent
networks
their
tendency
close
each
other
creates
a
able
identify
most
dangerous
areas
quickly
cost‐effectively.
In
this
study,
we
propose
novel
methodology
using
random
forest
(RF)
machine
learning
methods
provide
easily
interpretable
fine‐scale
fluvial
hazard
predictions
large
systems.
tools
developed
three
models:
presence
(PFM),
(PMM)
type
erosion
model
(TEM,
lateral
migration,
or
incision)
at
reference
points
every
100
m
along
network
watersheds
within
province
Quebec,
Canada.
RF
models
use
variables
focused
on
conditions
hydrogeomorphological
processes
such
as
confinement,
sinuosity,
upstream
slope.
Training/validation
data
included
field
observations,
results
from
hydraulic
models,
government
databases,
hydro‐
geomorphological
assessments
1‐m
DEM
satellite/historical
imagery.
A
total
1807
were
classified
flooding,
1542
mobility,
847
out
11,452
1145
km
rivers
study.
These
divided
into
training
(75%)
validation
(25%)
datasets,
with
dataset
used
train
supervised
models.
indicated
capable
accurately
predicting
potential
occur,
precision
ranging
83%
94%
predicted.
study
suggest
that
cost‐effective
tool
evaluate
occur
watershed
scale.
Water,
Journal Year:
2024,
Volume and Issue:
16(21), P. 3108 - 3108
Published: Oct. 30, 2024
Dams
are
vital
for
irrigation,
power
generation,
and
domestic
water
needs,
but
siltation
poses
a
significant
challenge,
especially
in
areas
prone
to
erosion,
potentially
shortening
dam’s
lifespan.
The
Ahmed
El
Hansali
Dam
Morocco
faces
heightened
due
its
upstream
region
being
susceptible
erosion-prone
rocks
high
runoff.
This
study
estimates
the
at
dam
from
construction
up
2014
using
bathymetric
data
Brown
model,
which
is
widely-used
empirical
model
that
calculates
reservoir
trap
efficiency.
Additionally,
evaluates
impact
of
Land
Use
Cover
(LULC)
changes
projected
future
rainfall
until
around
2076
based
on
rates.
results
indicate
LULC,
particularly
temporal
variations
precipitation,
have
dam.
Notably,
strongly
correlated
with
rate,
an
R2
0.92.
efficiency
sediment
trapping
(TE)
97.64%,
meaning
97.64%
catchment
area
trapped
or
deposited
bottom
estimated
annual
specific
yield
about
32,345.79
tons/km2/yr,
accumulation
rate
approximately
4.75
Mm3/yr.
half-life
be
2076,
precipitation
projections
may
extend
this
timeframe
strong
correlation
between
precipitation.
soil
erosion
driven
by
land
management
practices
plays
crucial
role
dynamics.
Hence,
offers
comprehensive
assessment
dynamics
dam,
providing
essential
information
long-term
effects
use
changes,
climate
projections.
These
findings
assist
decision
makers
managing
sedimentation
more
effectively,
ensuring
durability
extending
life.
