E3S Web of Conferences,
Journal Year:
2023,
Volume and Issue:
464, P. 11004 - 11004
Published: Jan. 1, 2023
This
experiment
observed
the
prediction
of
sediment
movement
for
channel
bed
composed
mixed
grain
size
and
its
relationship
with
nearbed
turbulence.
Changes
in
transport
rate
at
different
time
elapsed
was
obtained
by
observing
bedload
associated
them
streamwise
flow
velocity.
Regardless
shape
duration,
observations
indicate
that
total
amounts
transported
during
antecedent
hydrographs
are
best
indicators
stability
as
hydrographs.
Experiments
also
suggest
high
turbulence
caused
dispersion
average
velocity
roughly
disrupted
bed,
allowing
dislodgement
coarser
preventing
finer
materials
from
being
fully
sheltered.
As
result
production
material
very
significantly
increased.
Systematic
change
is
presumably
absent
variation
instantaneous
shear
stress
following
an
increasing
decreasing
discharge
evidenced
pattern
The
variations
produced
slightly
fashion
led
to
inference
major
difference
response
tests
were
created
unsteady
rapid
increase
decrease.
Physics of Fluids,
Journal Year:
2024,
Volume and Issue:
36(1)
Published: Jan. 1, 2024
There
is
an
urgent
need
to
predict
the
bed-load
transport
rate
in
vegetated
river
ecosystems
support
restoration
efforts.
In
response,
we
have
developed
a
novel
model
for
estimating
effective
shear
stress
acting
on
riverbed.
This
based
energy
equation
and
considers
intrinsic
relationship
between
loss
mean
flow
turbulence
generated
by
vegetation
open
channel
flows
with
emergent
vegetation.
Using
this
bed
model,
assessed
performance
of
Meyer-Peter–Müller
(MPM)
formula
predicting
comparing
it
collected
literature
experimental
data.
The
results
revealed
that
MPM
does
not
provide
accurate
predictions.
It
tends
overestimate
when
dimensionless
approximately
less
than
one
underestimate
them
greater
one.
suggests
enhances
decreases
sediment
larger
or
lower
one,
respectively.
Consequently,
modified
coefficients
using
extensive
data,
leading
development
predictive
flows.
new
outperforms
existing
equations
bedload
rate,
even
umbrella-like
Water,
Journal Year:
2024,
Volume and Issue:
16(14), P. 1945 - 1945
Published: July 10, 2024
This
study
presents
a
comprehensive
multi-model
machine
learning
(ML)
approach
to
predict
river
bed
load,
addressing
the
challenge
of
quantifying
predictive
uncertainty
in
fluvial
geomorphology.
Six
ML
models—random
forest
(RF),
categorical
boosting
(CAT),
extra
tree
regression
(ETR),
gradient
(GBM),
Bayesian
model
(BRM),
and
K-nearest
neighbors
(KNNs)—were
thoroughly
evaluated
across
several
performance
metrics
like
root
mean
square
error
(RMSE),
correlation
coefficient
(R).
To
enhance
training
optimize
performance,
particle
swarm
optimization
(PSO)
was
employed
for
hyperparameter
tuning
all
models,
leveraging
its
capability
efficiently
explore
complex
spaces.
Our
findings
indicated
that
RF,
GBM,
CAT,
ETR
demonstrate
superior
(R
score
>
0.936),
benefiting
significantly
from
PSO.
In
contrast,
BRM
displayed
lower
(0.838),
indicating
challenges
with
approaches.
The
feature
importance
analysis,
including
permutation
SHAP
values,
highlighted
non-linear
interdependencies
between
variables,
discharge
(Q),
slope
(S),
flow
width
(W)
being
most
influential.
also
examined
specific
impact
individual
variables
on
by
adding
excluding
which
is
particularly
meaningful
when
choosing
input
model,
especially
limited
data
conditions.
Uncertainty
quantification
through
Monte
Carlo
simulations
enhanced
predictability
reliability
models
larger
datasets.
increased
improved
precision
evident
consistent
rise
R
scores
reduction
standard
deviations
as
sample
size
increased.
research
underscored
potential
advanced
ensemble
methods
PSO
mitigate
limitations
single-predictor
exploit
collective
strengths,
thereby
improving
predictions
load
estimation.
insights
this
provide
valuable
framework
future
directions
focused
optimizing
configurations
hydro-dynamic
modeling.
Environmental Science and Ecotechnology,
Journal Year:
2024,
Volume and Issue:
21, P. 100429 - 100429
Published: May 10, 2024
In-channel
vegetation
is
ubiquitous
in
aquatic
environments
and
plays
a
critical
role
the
fate
transport
of
solutes
particles
ecosystems.
Recent
studies
have
advanced
our
understanding
solute
flow
particle
This
review
summarizes
these
papers
discusses
impacts
emergent
rigid
on
surface
flow,
advection
dispersion
solutes,
suspended
load
transport,
bedload
hyporheic
exchange.
The
two
competing
effects
above
processes
are
discussed.
On
one
hand,
reduces
mean
velocity
at
same
slope,
which
mass
transport.
other
velocity,
generates
turbulence,
enhances
Mechanistic
predictive
equations
derived
from
laboratory
experiments
Predictive
for
turbulent
kinetic
energy
inside
an
canopy
based
force
balance.
advection-dispersion
process,
exchange
summarized.
vegetation-related
factors,
such
as
morphology,
submergence,
flexibility,
briefly
transporting
particles,
micro-
macro-plastics,
also
Finally,
suggestions
future
research
directions
proposed
to
advance
dynamic
interplays
among
natural
vegetation,
dynamics,
sedimentary
processes.
Physics of Fluids,
Journal Year:
2023,
Volume and Issue:
35(3)
Published: Feb. 20, 2023
Bank
angle
and
floodplain
vegetation
emergence
determine
the
flow
nature
in
a
compound
channel.
Two
sets
of
45°
90°
bank
channel
is
considered
present
work.
Each
set
considers
three
cases
arrangements:
no
vegetation,
multi-layered
fully
submerged,
partially
emergent.
The
characteristics
like
velocity,
Reynolds
shear
stress
(RSS),
turbulent
kinetic
energy
(TKE)
do
not
vary
much
cross
section
absence
vegetation.
However,
with
slopes
nearby
region
are
affected
most
as
it
acts
an
intermediary
between
main
floodplain.
An
analysis
anisotropic
invariant
map
shows
dominance
transverse
component
compared
to
velocity
around
higher
for
steep
(90°)
gradual
slope
(45°)
streamwise
RSS
bursting
events
also
show
magnitude
near
bed
sloping
region.
This
indicates
instability
banks
slopes.
increase
affects
TKE
greater
vulnerability
presence
emergence.
From
hydraulic
engineering
perspective,
this
study
will
be
helpful
field
understanding
failure
ways
maintain
their
stability.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(4)
Published: April 1, 2024
Abstract
Vegetation
is
an
essential
component
of
natural
rivers
and
has
significant
effects
on
flow
morphodynamic
processes.
Although
progress
been
made
in
characterizing
resistance
vegetated
flows,
the
impact
vegetation
bed
shear
stress,
a
key
driver
sediment
transport,
still
needs
better
characterization
understanding.
This
research,
explores
stress
near‐bed
characteristics
sparse
arrays
rigid
emergent
cylinders
mimicking
over
rough
bed.
For
this
purpose,
novel
adaptation
plate
was
used
to
measure
at
canopy
scale.
These
measurements
were
analyzed
relation
spatially
averaged
quantities
for
different
array
densities.
The
results
show
that,
constant
water
depth,
investigated
cylinder
enhances
ratio
between
bulk
velocity
(i.e.,
Darcy‐Weisbach
friction
factor)
compared
unobstructed
open‐channel
that
increases
with
density.
Moreover,
higher
velocities
observed
On
other
hand,
no
influence
values
turbulent
kinetic
energy
stresses
observed.
Finally,
it
shown
thickness
layer
suitable
parameter
scale
flows.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 14, 2025
This
study
investigates
the
critical
impact
of
incipient
sediment
motion
on
transport
estimation
and
riverbed
evolution
prediction.
In
this
research,
we
examine
effects
ice
cover
vertical
distribution
flow
velocity,
establishing
a
mathematical
relationship
between
average
velocities
in
open
channel
ice-covered
flows.
leads
to
derivation
formula
for
velocity
under
cover.
Additionally,
analyzes
process
jam
conditions.
The
proposed
is
applicable
both
flows,
effectively
capturing
characteristics
non-cohesive
cohesive
sediments.
calculated
closely
align
with
empirical
data
from
existing
literature.
reveals
that
roughness
significantly
influences
sediment,
higher
ratios
promoting
initiation
more
favorable
hydraulic
Furthermore,
beneath
jams
experiences
significant
scouring.
Field
observations
indicate
when
form
localized
sections
river,
displacement
main
can
substantially
increase
areas
away
jam,
leading
scouring
non-ice-jammed
sedimentation
ice-jammed
areas.
uneven
likely
factor
contributing
discrepancies
theoretical
predictions
observed
outcomes.
complexity
limited
associated
sediments
pose
challenges
validating
these
types.
Physics of Fluids,
Journal Year:
2025,
Volume and Issue:
37(2)
Published: Feb. 1, 2025
The
experimental
study
examines
the
flow
dynamics
and
sediment
transport
behavior
of
mobile
dune-shaped
bedforms
induced
by
downward
seepage.
longitudinal
velocities
in
stream
direction,
Reynolds
shear
stresses
(RSS),
energy
budget,
transitional
probabilities
turbulence
bursting
events
were
analyzed
without
with
Application
seepage
discharge
significantly
altered
patterns,
increasing
streamwise
magnitude
RSS
on
gradually
rising
face
reducing
them
at
crest
trailing
section
bedform.
Downward
intensifies
dissipation
diffusion
steep
slip
side
dune
due
to
enhanced
circulation,
which
encourages
scour
hole
formation.
However,
proximity
bed
initial
region
surface
leeward
sections
features,
turbulent
production
surges
substantially
With
seepage,
anisotropy
invariant
map
shows
a
shift
patterns
from
two-dimensional
(2D)
one-dimensional
middle
sections,
while
2D
anisotropy.
Enhanced
transition
outward
interaction
sweep
intensify
under
conditions,
vortex
strength
promoting
erosion
mobilization
conditions.
Scour
depth
over
time
both
no-seepage
greater
observed
Sediment
rates
also
higher
than
no