SSRN Electronic Journal,
Journal Year:
2022,
Volume and Issue:
unknown
Published: Jan. 1, 2022
River
morphology
is
closely
linked
with
riparian
vegetation
dynamics,
because
of
the
mutual
interactions
between
plants,
flow,
and
sediment
transport.
However,
open-source
tools
that
model
such
are
currently
missing.
Here
we
present
BASEveg,
a
python
package
to
simulate
dynamics
coupled
BASEMENT,
river
hydro-morphodynamic
simulator.
BASEveg
allows
including
effect
plant
growth
during
low
flow
periods
on
riverbed
changes
floods,
by
modifying
properties
affect
water
transport
rate.
This
new
tool
empowers
scientists
from
different
disciplines
fluvial
managers
explore
eco-morphodynamic
processes
at
various
spatial
temporal
scales.
River Research and Applications,
Journal Year:
2024,
Volume and Issue:
40(6), P. 887 - 942
Published: April 4, 2024
Abstract
In
this
article,
we
track
the
evolution
of
fluvial
biogeomorphology
from
middle
20th
century
to
present.
We
consider
emergence
as
an
interdisciplinary
research
area
that
integrates
knowledge
drawn
primarily
geomorphology
and
plant
ecology,
but
with
inputs
hydrology
landscape
ecology.
start
by
assembling
evidence
for
field
a
keyword
search
Web
Science
detailed
analysis
papers
published
in
two
scientific
journals:
journal—Earth
Surface
Processes
Landforms;
multidisciplinary
river
science
journal—River
Research
Applications.
Based
on
evidence,
identify
three
distinct
time
periods
development
biogeomorphology:
‘early
years’
before
1990;
transitional
decade
1990s;
period
rapid
expansion
diversification
themes,
methods
investigation
scales
since
2000.
Because
literature
is
vast,
can
only
summarize
developments
each
these
periods,
refer
recent
in‐depth
reviews
conceptual
perspectives
relevant
topics.
Thus,
rather
than
full
deep
review,
present
annotated
bibliographic
overview
biogeomorphology,
whereby
text
describes
broad
trends
supported
tables
citations
deliver
greater
detail.
end
brief
consideration
likely
future
developments.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(5)
Published: May 1, 2024
Abstract
Widely
distributed
in
natural
rivers
and
coasts,
vegetation
interacts
with
fluid
flows
sediments
a
variable
complicated
manner.
Such
interactions
make
it
difficult
to
predict
associated
drag
forces
during
sediment
transport.
This
paper
investigates
the
coefficient
for
an
emergent
vegetated
patch
area
under
nonuniform
flow
mobile
bed
conditions,
based
on
analytical
model
solving
momentum
equation
following
our
previous
work
(Zhang
et
al.,
2020,
https://doi.org/10.1029/2020WR027613
).
Emergent
was
modeled
rigid
cylinders
arranged
staggered
arrays
of
different
coverage
∅.
Laboratory
flume
tests
were
conducted
measure
variations
both
water
surfaces
along
sand
bed.
Based
experimental
theoretical
analyses,
dimensionless
integrating
terms
properties
effects
is
proposed
C
d
over
The
calculated
values
exhibit
two
trends,
that
is,
nonmonotonically
or
monotonically
increasing
streamwise
direction,
due
combined
effect
surface
gradient
slope.
morphodynamic
response
manifests
as
evolution
slope
within
patch.
Ongoing
scouring
directs
flow's
energy
toward
overcoming
rising
slope,
leading
relatively
stable
stage
low
transport
rate.
study
advances
existing
understanding
coefficient's
role
flows.
It
also
enhances
applicability
models
riverine
restoration.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(7)
Published: July 1, 2023
Abstract
Meandering
channels
display
complex
planform
configurations
with
upstream
(US)‐
and
downstream
(DS)‐skewed
bends.
Bend
orientation
is
linked
to
hydrodynamics,
bed
morphodynamic
regime,
bank
characteristics,
riparian
vegetation,
geological
environment,
which
are
the
modulating
factors
that
act
specially
in
high‐amplitude
high‐sinuosity
conditions.
Based
on
interaction
between
hydrodynamics
morphodynamics,
previous
studies
have
suggested
sub‐
(
β
<
R
)
super‐resonant
>
regimes
(where
half
width‐to‐depth
ratio
of
channel,
resonance
condition)
may
trigger
a
particular
bend
(upstream‐
downstream‐skewed,
respectively).
However,
natural
rivers
exhibit
both
US‐skewed
DS‐skewed
patterns
along
same
reach,
independently
regime.
Little
known
about
hydrogeomorphology
(forced
free
patterns)
under
these
orientations.
Herein,
using
asymmetric
Kinoshita
laboratory
experiments
conditions
(with
presence
or
absence
bars)
for
upstream‐and
downstream‐skewed
performed.
The
migrating
bars
=
10,
15)
compared
where
only
dunes
2)
sub‐resonant
condition
were
observed.
Additional,
detailed
field
measurements
at
US‐
bends
different
skewness
Tigre
River
Peru
also
presented.
Conditions
scale
filter
out
influence
regime
high
amplitude
bends,
nonlinear
processes
(width
variation,
bedform
dynamics)
can
directly
affect
development
three‐dimensional
flow
structure,
consequently
erosional
depositional
patterns,
lateral
migration
patterns.
River Research and Applications,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 14, 2025
ABSTRACT
Vegetation
overgrowth
in
rivers
worldwide
is
a
considerable
problem
because
it
can
potentially
reduce
the
flood‐flowing
capacity
and
cause
biodiversity
loss.
In
this
study,
we
developed
model
to
predict
vegetation
recruitment
during
initial
stages
of
secondary
succession,
which
leads
overgrowth.
This
study
chose
logistic
regression
its
simplicity
lower
computational
load
than
machine
learning.
The
was
designed
for
Kinu
River
Japan
associated
with
extensive
Data
development
were
obtained
from
unmanned
aerial
vehicle
(UAV)
surveys
public
databases.
To
ensure
model's
applicability
beyond
training
rivers,
trained
across
different
river
flows
geomorphic
characteristics,
including
normal
flood
times
gravel
sand
beds.
results
indicated
that
three
explanatory
variables,
namely
distance
stream,
relative
height,
existence
history,
optimal
all
F
‐measures
range
0.79‐0.85.
addition,
using
UAV
imagery
allows
high‐spatial
resolution
predicting
recruitment.
best
prediction
map
demonstrated
could
accurately
distribution
along
main
channel
present
would
be
advantageous
when
applied
other
similar
topographic
biological
characteristics
within
same
segment
without
hydrodynamic
calculations.
SoftwareX,
Journal Year:
2023,
Volume and Issue:
22, P. 101361 - 101361
Published: March 30, 2023
Abstract
River
morphology
is
closely
linked
with
riparian
vegetation
dynamics,
because
of
the
interwoven
interactions
between
plants,
flow,
and
sediment
transport.
However,
open-source
tools
that
model
such
are
currently
missing.
Here
we
present
BASEveg,
a
python
package
to
simulate
dynamics
coupled
BASEMENT,
river
hydro-morphodynamic
simulator.
BASEveg
calculates
plant
growth
based
on
water
table
fluctuations
during
low
flow
incorporates
resulting
properties
affecting
transport
computation
riverbed
changes
floods.
This
new
tool
empowers
scientists
from
different
disciplines
fluvial
managers
explore
eco-morphodynamic
processes
at
various
spatial
temporal
scales.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
143, P. 109340 - 109340
Published: Aug. 26, 2022
Phycocyanin
(PC)
is
an
indicator
pigment
of
cyanobacteria
in
water.
Monitoring
the
dynamic
variation
PC
concentration
lakes
by
satellite
remote
sensing
great
significance
for
effective
prevention
and
control
cyanobacterial
blooms
(CBs).
Few
studies
have
quantitatively
monitored
long-term
water
explored
relationship
between
CBs
based
on
advantages
high
temporal
spectral
resolution
Sentinel-3
OLCI
images.
In
this
study,
a
retrieval
model
suitable
images
was
constructed
applied
to
image
dataset
from
May
2016
November
2021
analyze
spatiotemporal
variations
Chaohu
Lake
China.
The
factors
influencing
its
indicative
outbreak
were
also
explored.
results
show
that
gradient
boosting
regression
algorithm
has
best
performance
(R2
=
0.86,
root
mean
square
error
45.44
ug/L,
absolute
percentage
26.27
%),
which
application
potential
other
quality
parameters.
summer
autumn,
western
higher
than
lake
parts,
mainly
related
nutrient
prevailing
wind
direction
part.
During
2016–2021,
average
2019
highest,
2017
lowest,
affected
air
temperature
precipitation.
consistency
with
proportion
area,
303.9
μg/L
necessary
condition
outbreak.
This
study
revealed
could
provide
useful
data
source
high-frequency
monitoring
concentrations
reservoirs,
quantitative
relevant
early
warning
inland
