Hydrological Processes,
Journal Year:
2021,
Volume and Issue:
35(3)
Published: Feb. 7, 2021
Abstract
Stream
networks
expand
and
contract
through
time,
impacting
chemical
export,
aquatic
habitat,
water
quality.
Although
recent
advances
improve
prediction
of
the
extent
wetted
channel
network
(
L
)
based
on
discharge
at
catchment
outlet
Q
),
controls
temporal
variability
remain
poorly
understood
unquantified.
Here
we
develop
a
quantitative,
conceptual
framework
to
explore
how
flow
regime
stream
hydraulic
scaling
factors
co‐determine
relative
in
(denoted
here
as
total
drainage
density).
Network
determines
much
changes
for
change
,
while
describes
time.
We
compiled
datasets
co‐located
dynamic
mapping
analyze
all
globally
available
empirical
data
using
presented
framework.
found
that
although
is
universally
damped
(i.e.,
streamflow
relatively
more
variable
time
than
extent),
relationship
elastic,
meaning
given
increase
headwater
catchments
will
experience
greater‐than‐proportional
increases
.
Thus,
under
anticipated
climatic
shifts
towards
volatile
precipitation,
extents
can
be
expected
even
itself.
Comparison
between
inferred
from
‐
blue
lines
USGS
topographic
maps
shows
widespread
underestimation
by
line
network.
Hydrology and earth system sciences,
Journal Year:
2021,
Volume and Issue:
25(10), P. 5517 - 5534
Published: Oct. 21, 2021
Abstract.
Long
short-term
memory
(LSTM)
models
are
recurrent
neural
networks
from
the
field
of
deep
learning
(DL)
which
have
shown
promise
for
time
series
modelling,
especially
in
conditions
when
data
abundant.
Previous
studies
demonstrated
applicability
LSTM-based
rainfall–runoff
modelling;
however,
LSTMs
not
been
tested
on
catchments
Great
Britain
(GB).
Moreover,
opportunities
exist
to
use
spatial
and
seasonal
patterns
model
performances
improve
our
understanding
hydrological
processes
examine
advantages
disadvantages
simulation.
By
training
two
LSTM
architectures
across
a
large
sample
669
GB,
we
demonstrate
that
Entity
Aware
(EA
LSTM)
simulate
discharge
with
median
Nash–Sutcliffe
efficiency
(NSE)
scores
0.88
0.86
respectively.
We
find
outperform
suite
benchmark
conceptual
models,
suggesting
an
opportunity
additional
refine
models.
In
summary,
show
largest
performance
improvements
north-east
Scotland
south-east
England.
The
England
remained
difficult
model,
part
due
inability
configured
this
study
learn
groundwater
processes,
human
abstractions
complex
percolation
properties
hydro-meteorological
variables
typically
employed
modelling.
Abstract
Headwater
catchments
are
the
fundamental
units
that
connect
land
to
ocean.
Hydrological
flow
and
biogeochemical
processes
intricately
coupled,
yet
their
respective
sciences
have
progressed
without
much
integration.
Reaction
kinetic
theories
prescribe
rate
dependence
on
environmental
variables
(e.g.,
temperature
water
content)
advanced
substantially,
mostly
in
well‐mixed
reactors,
columns,
warming
experiments
considering
characteristics
of
hydrological
at
catchment
scale.
These
shown
significant
divergence
from
observations
natural
systems.
On
other
hand,
theories,
including
transit
time
theory,
substantially
not
been
incorporated
into
understanding
reactions
Here
we
advocate
for
development
integrated
hydro‐biogeochemical
across
gradients
climate,
vegetation,
geology
conditions.
The
lack
such
presents
barriers
mechanisms
forecasting
future
Critical
Zone
under
human‐
climate‐induced
perturbations.
Although
integration
has
started
co‐located
measurements
well
way,
tremendous
challenges
remain.
In
particular,
even
this
era
“big
data,”
still
limited
by
data
will
need
(1)
intensify
beyond
river
channels
characterize
vertical
connectivity
broadly
shallow
deep
subsurface;
(2)
expand
older
dating
scales
reflected
stable
isotopes;
(3)
combine
use
reactive
solutes,
nonreactive
tracers,
(4)
augment
environments
undergoing
rapid
changes.
To
develop
it
is
essential
engage
models
all
stages
model‐informed
collection
strategies
maximize
usage;
adopt
a
“simple
but
simplistic,”
or
fit‐for‐purpose
approach
include
process‐based
models;
blend
data‐driven
framework
“theory‐guided
science.”
Within
hypothesis
testing,
model‐data
fusion
can
advance
mechanistically
link
catchments'
internal
structures
external
drivers
functioning.
It
only
field
hydro‐biogeochemistry,
also
enable
hind‐
fore‐casting
serve
society
large.
Broadly,
education
cultivate
thinkers
intersections
traditional
disciplines
with
hollistic
approaches
interacting
complex
earth
This
article
categorized
under:
Engineering
Water
>
Methods
Abstract
Non‐perennial
rivers
and
streams
are
ubiquitous
on
our
planet.
Although
several
metrics
have
been
used
to
statistically
group
or
compare
streamflow
characteristics,
there
is
currently
no
widely
definition
of
how
many
days
over
what
reach
length
surface
flow
must
cease
in
order
classify
a
river
as
non‐perennial.
At
the
same
time,
breadth
climate
geographic
settings
for
non‐perennial
leads
diversity
their
regimes,
such
often
quickly
they
go
dry.
These
rich
expanding
body
literature
addressing
ecologic
geomorphic
features,
but
said
be
ignored
by
hydrologists.
Yet
much
we
do
know
about
hydrology
terms
generation
processes,
water
losses,
variability
flow.
We
also
that
while
prevalent
arid
regions,
occur
across
all
types
experience
diverse
set
natural
anthropogenic
controls
streamflow.
Furthermore,
measuring
modeling
these
presents
distinct
challenges,
research
directions,
which
still
require
further
attention.
Therefore,
present
an
overview
current
understanding,
methodologic
knowledge
gaps,
directions
hydrologic
understanding
rivers;
critical
topics
light
both
growing
global
scarcity
ever‐changing
laws
policies
dictate
whether
environmental
protection
receive.
This
article
categorized
under:
Science
Water
>
Abstract
Streamflow
observations
can
be
used
to
understand,
predict,
and
contextualize
hydrologic,
ecological,
biogeochemical
processes
conditions
in
streams.
Stream
gages
are
point
measurements
along
rivers
where
streamflow
is
measured,
often
infer
upstream
watershed‐scale
processes.
When
stream
read
zero,
this
may
indicate
that
the
has
dried
at
location;
however,
zero‐flow
readings
also
caused
by
a
wide
range
of
other
factors.
Our
ability
identify
whether
or
not
gage
reading
indicates
dry
fluvial
system
far
reaching
environmental
implications.
Incorrect
identification
interpretation
data
user
lead
inaccurate
and/or
predictions
from
models
analyses.
Here,
we
describe
several
causes
readings:
frozen
surface
water,
flow
reversals,
instrument
error,
natural
human‐driven
source
losses
bypass
flow.
For
these
examples,
discuss
implications
interpretations.
We
highlight
additional
methods
for
determining
presence,
including
direct
observations,
statistical
methods,
hydrologic
models,
which
applied
interpret
reach‐
dynamics.
Such
efforts
necessary
improve
our
understand
predict
activation,
cessation,
connectivity
across
river
networks.
Developing
integrated
understanding
possible
meanings
zero‐flows
will
only
attain
greater
importance
more
variable
changing
climate.
This
article
categorized
under:
Science
Water
>
Methods
Hydrological
Processes
Life
Conservation,
Management,
Awareness
Biogeosciences,
Journal Year:
2021,
Volume and Issue:
18(15), P. 4603 - 4627
Published: Aug. 12, 2021
Abstract.
We
developed
a
setup
for
fully
automated,
high-frequency
in
situ
monitoring
system
of
the
stable
water
isotope
deuterium
and
18O
soil
tree
xylem.
The
was
tested
12
weeks
within
an
isotopic
labeling
experiment
during
large
artificial
sprinkling
including
three
mature
European
beech
(Fagus
sylvatica)
trees.
Our
allowed
one
measurement
every
12–20
min,
enabling
us
to
obtain
about
seven
measurements
per
day
each
our
15
probes
While
induced
abrupt
step
pulse
signature,
it
took
7
10
d
until
signatures
at
trees'
stem
bases
reached
their
peak
label
concentrations
14
8
m
height
leveled
off
around
same
values.
During
experiment,
we
observed
effects
several
rain
events
dry
periods
on
xylem
signatures,
which
fluctuated
between
measured
upper
lower
horizons.
In
order
explain
observations,
combined
already
existing
root
uptake
(RWU)
model
with
newly
approach
simulate
propagation
from
tips
base
further
up
along
stem.
key
proper
simulation
short-term
dynamics
isotopes
accounting
sap
flow
velocities
path
length
distribution
modeling
framework
identify
parameter
values
that
relate
depth,
horizontal
wilting
point.
insights
gained
this
study
can
help
improve
representation
trees
ecohydrological
models
prediction
transit
time
age
transpiration
fluxes.
Water Resources Research,
Journal Year:
2020,
Volume and Issue:
56(4)
Published: March 23, 2020
Abstract
In
the
majority
of
existing
studies,
streams
are
conceived
as
static
objects
that
occupy
predefined
regions
landscape.
However,
empirical
observations
suggest
stream
networks
systematically
and
ubiquitously
featured
by
significant
expansion/retraction
dynamics
produced
hydrologic
climatic
variability.
This
contribution
presents
novel
data
about
active
drainage
network
a
5
km
2
headwater
catchment
in
Italian
Alps.
The
has
been
extensively
monitored
with
biweekly
temporal
resolution
during
field
campaign
conducted
from
July
to
November
2018.
Our
results
reveal
that,
spite
wet
climate
typical
study
area,
more
than
70%
observed
river
is
temporary,
presence
disconnected
reaches
periods.
Available
have
used
develop
set
simple
statistical
models
were
able
properly
reconstruct
length
function
antecedent
precipitation.
rainfall
timing
intensity
represent
major
controls
on
length,
while
evapotranspiration
minor
effect
intraseasonal
changes
density.
also
indicate
multiple
expansion
retraction
cycles
simultaneously
operate
at
different
time
scales,
response
distinct
hydrological
processes.
Furthermore,
we
found
spatial
patterns
unchanneled
lengths
related
underlying
heterogeneity
geological
attributes.
offers
insights
physical
mechanisms
driving
low‐order
alpine
catchments.
Abstract
Intermittent
rivers
and
ephemeral
streams
(IRES)
are
now
recognized
to
support
specific
freshwater
biodiversity
ecosystem
services
represent
approximately
half
of
the
global
river
network,
a
fraction
that
is
likely
increase
in
context
changes.
Despite
large
research
efforts
on
IRES
during
past
few
decades,
there
need
for
developing
systemic
approach
considers
their
hydrological,
hydrogeological,
hydraulic,
ecological,
biogeochemical
properties
processes,
as
well
interactions
with
human
societies.
Thus,
we
assert
interdisciplinary
promoted
by
critical
zone
sciences
socio‐ecology
relevant.
These
approaches
rely
infrastructure—Critical
Zone
Observatories
(CZO)
Long‐Term
Socio‐Ecological
Research
(LTSER)
platforms—that
representative
diversity
(e.g.,
among
climates
or
types
geology.
We
illustrate
this
within
French
CZO
LTSER,
including
socio‐ecosystems,
detail
IRES.
networks
also
specialized
long‐term
observations
required
detect
measure
responses
climate
forcings
despite
delay
buffering
effects
ecosystems.
The
LTSER
platforms
development
innovative
techniques
data
analysis
methods
can
improve
characterization
IRES,
particular
monitoring
flow
regimes,
groundwater‐surface
water
flow,
biogeochemistry
rewetting.
provide
scientific
methodological
perspectives
which
its
associated
infrastructure
would
relevant
original
insights
help
fill
knowledge
gaps
about
This
article
categorized
under:
Water
Life
>
Stresses
Pressures
Ecosystems
Science
Hydrological
Processes
Conservation,
Management,
Awareness
Hydrological Processes,
Journal Year:
2020,
Volume and Issue:
34(26), P. 5704 - 5711
Published: Nov. 18, 2020
It
has
been
12
years
since
Bishop
et
al.
(2008)
wrote
the
Invited
Commentary
"Aqua
Incognita:
unknown
headwaters".They
highlighted
that
"In
most
regions,
overwhelming
majority
of
stream
length
lies
beyond
frontiers
any
systematic
documentation
and
would
have
to
be
represented
as
a
blank
space
on
assessment
map.This
means
for
streams
support
aquatic
life,
understanding
is
lacking
water
quality,
habitat,
biota,
specific
discharge,
or
even
how
many
kilometers
such
are
there.This
so
vast
it
deserves
name
help
us
at
least
remember
there.We
propose
calling
'Aqua
Incognita'"
(Bishop
al.,
2008;
p.
1239).We
continue
agree
with
this
statement
need
understand
headwater
better.In
commentary,
we
want
draw
attention
particular
type
less
frequently
examined:
flow
intermittently,
i.e.,
Aqua
Temporaria
Incognita.Question
3
23
unsolved
problems
in
hydrology
(Blöschl
2019)
focuses
ephemeral
dryland
streams.We
argue
focus
needs
broadening
temporary
because
they
ubiquitous
all
climates.Headwater
feed
larger
perennial
particularly
sensitive
climate
change
other
human
influences
(Jaeger
2014;Reynolds
2015;Pumo
2016).Their
effective
management
protection,
therefore,
requires
an
both
natural
artificial
causes
intermittence.Temporary
among
hydrologically
variable
systems
(Wohl,
2017).They
include
intermittent
seasonally,
only
response
rainfall
snowmelt
events,
episodic
contain
flowing
during
Water Resources Research,
Journal Year:
2022,
Volume and Issue:
58(4)
Published: March 11, 2022
Abstract
Highly
simplified
approaches
continue
to
underpin
hydrological
climate
change
impact
assessments
across
the
Earth's
mountainous
regions.
Fully‐integrated
surface‐subsurface
models
may
hold
far
greater
potential
represent
distinctive
regimes
of
steep,
geologically‐complex
headwater
catchments.
However,
their
utility
has
not
yet
been
tested
a
wide
range
settings.
Here,
an
integrated
model
two
adjacent
calcareous
Alpine
headwaters
that
accounts
for
two‐dimensional
surface
flow,
three‐dimensional
(3D)
variably‐saturated
groundwater
and
evapotranspiration
is
presented.
An
energy
balance‐based
representation
snow
dynamics
contributed
model's
high‐resolution
forcing
data,
sophisticated
3D
geological
helped
define
parameterize
its
subsurface
structure.
In
first
known
attempt
calibrate
catchment‐scale
region
automatically,
numerous
uncertain
parameters
were
estimated.
The
salient
features
regime
could
ultimately
be
satisfactorily
reproduced
–
over
11‐month
evaluation
period,
Nash‐Sutcliffe
efficiency
simulated
streamflow
at
main
gauging
station
was
0.76.
Spatio‐temporal
visualization
data
responses
further
confirmed
broad
coherence.
Presumably
due
unresolved
local
heterogeneity,
closely
replicating
somewhat
contrasting
level
signals
observed
near
one
another
proved
more
elusive.
Finally,
we
assessed
impacts
various
simplifications
assumptions
are
commonly
employed
in
physically‐based
modeling
including
use
spatially
uniform
forcings,
vertically
limited
domain,
global
products
on
key
outputs,
finding
strongly
affected
performance
many
cases.
Although
certain
outstanding
challenges
must
overcome
if
uptake
mountain
regions
around
world
increase,
our
work
demonstrates
feasibility
benefits
application
such
complex
systems.