Probabilistic Description of Streamflow and Active Length Regimes in Rivers
Water Resources Research,
Journal Year:
2022,
Volume and Issue:
58(4)
Published: April 1, 2022
In
spite
of
the
prevalence
temporary
rivers
over
a
wide
range
climatic
conditions,
they
represent
relatively
understudied
fraction
global
river
network.
Here,
we
exploit
well-established
hydrological
model
and
derived
distribution
approach
to
develop
coupled
probabilistic
description
for
dynamics
catchment
discharge
corresponding
active
network
length.
Analytical
expressions
flow
duration
curve
(FDC)
stream
length
(SLDC)
were
used
provide
consistent
classification
streamflow
regimes
in
rivers.
Two
distinct
(persistent
erratic)
three
different
types
(ephemeral,
perennial,
ephemeral
de
facto)
identified
depending
on
value
two
dimensionless
parameters.
These
key
parameters,
which
are
related
underlying
fluctuations
sensitivity
changes
(here
quantified
by
scaling
exponent
b),
originate
seven
behavioral
classes
characterized
contrasting
shapes
SLDCs
FDCs.
The
analytical
was
tested
using
data
gathered
study
catchments
located
Italy
USA,
with
satisfactory
performances
most
cases.
Our
empirical
results
show
existence
structural
relationship
between
regimes,
is
chiefly
modulated
b.
proposed
framework
represents
promising
tool
analysis
streams.
Language: Английский
On the Relation Between Active Network Length and Catchment Discharge
Geophysical Research Letters,
Journal Year:
2022,
Volume and Issue:
49(14)
Published: July 19, 2022
The
ever-changing
hydroclimatic
conditions
of
the
landscape
induce
ceaseless
variations
in
wet
channel
length
(
Language: Английский
Technical note: Analyzing river network dynamics and the active length–discharge relationship using water presence sensors
Hydrology and earth system sciences,
Journal Year:
2022,
Volume and Issue:
26(13), P. 3497 - 3516
Published: July 8, 2022
Abstract.
Despite
the
importance
of
temporary
streams
for
provision
key
ecosystem
services,
their
experimental
monitoring
remains
challenging
because
practical
difficulties
in
performing
accurate
high-frequency
surveys
flowing
portion
river
networks.
In
this
study,
about
30
electrical
resistance
(ER)
sensors
were
deployed
a
high
relief
2.6
km2
catchment
Italian
Alps
to
monitor
spatio-temporal
dynamics
active
network
during
2
months
late
fall
2019.
The
setup
ER
was
customized
make
them
more
flexible
deployment
field
and
under
low
flow
conditions.
Available
data
compared
field-based
estimates
nodes'
persistency
(i.e.,
proxy
probability
observe
water
over
given
node)
then
used
generate
sequence
maps
representing
reaches
stream
with
sub-daily
temporal
resolution.
This
allowed
proper
estimate
joint
variations
length
(L)
discharge
(Q)
entire
study
period.
Our
analysis
revealed
cross-correlation
between
statistics
individual
signals
persistencies
cross-sections
where
placed.
observed
spatial
actively
channels
also
highlighted
diversity
hydrological
behavior
distinct
zones
catchment,
which
attributed
heterogeneity
geology
stream-bed
composition.
work
emphasizes
potential
analyzing
streams,
discussing
major
limitations
type
technology
emerging
from
specific
application
presented
herein.
Language: Английский
Extending Active Network Length Versus Catchment Discharge Relations to Temporarily Dry Outlets
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(1)
Published: Jan. 1, 2024
Abstract
River
networks
are
not
steady
blue
lines
drawn
in
a
map,
since
they
continuously
change
their
shape
and
extent
response
to
climatic
drivers.
Therefore,
the
flowing
length
of
rivers
(
L
)
corresponding
catchment‐scale
streamflow
Q
sur
co‐evolve
dynamically.
This
paper
analyzes
relationship
between
wet
channel
river
basin,
formulating
general
analytical
model
that
includes
case
temporarily
dry
outlets.
In
particular,
framework
relaxes
common
assumption
when
discharge
at
outlet
tends
zero
upstream
approaches
zero.
Different
expressions
for
law
derived
cases
(a)
perennial
outlet;
(b)
non‐perennial
dries
out
only
whole
network
is
dry;
(c)
outlet,
experiences
surface
flow
less
time
than
other
nodes.
all
cases,
controlled
by
distribution
specific
subsurface
capacity
along
network.
For
outlets,
however,
relation
might
depend
on
an
unknown
shifting
factor.
Three
real‐world
examples
presented
demonstrate
flexibility
robustness
theory.
Our
results
indicate
be
empirically
observable
if
significant
fraction
or
some
reaches
experience
longer
gauging
station.
The
study
provides
basis
integrating
empirical
data
gathered
diverse
sites.
Language: Английский
Eco-hydrological modelling of channel network dynamics—part 1: stochastic simulation of active stream expansion and retraction
Royal Society Open Science,
Journal Year:
2022,
Volume and Issue:
9(11)
Published: Nov. 1, 2022
Dynamic
changes
in
the
active
portion
of
stream
networks
represent
a
phenomenon
common
to
diverse
climates
and
geologic
settings.
However,
mechanistically
describing
these
processes
at
relevant
spatiotemporal
scales
without
huge
computational
burdens
remains
challenging.
Here,
we
present
novel
stochastic
framework
for
effective
simulation
channel
network
dynamics
capitalizing
on
concept
'hierarchical
structuring
temporary
streams'-a
general
principle
identify
activation/deactivation
order
nodes.
The
allows
long-term
description
event-based
river
configuration
starting
from
widely
available
climatic
data
(mainly
rainfall
evapotranspiration).
Our
results
indicate
that
climate
strongly
controls
temporal
variations
length,
influencing
not
only
preferential
channels
but
also
speed
retraction
during
drying.
Moreover,
observed
that-while
statistics
wet
length
are
mainly
dictated
by
underlying
conditions-the
spatial
patterns
reaches
size
largest
connected
patch
controlled
correlation
local
persistency.
proposed
provides
robust
mathematical
set-up
analysing
multi-faceted
ecological
legacies
dynamics,
as
discussed
companion
paper.
Language: Английский