Stable
isotopes
(δ18O)
and
tritium
(3H)
are
frequently
used
as
tracers
in
environmental
sciences
to
estimate
the
age
distributions
of
water.
However,
it
has
previously
been
argued
that
seasonally
variable
tracers,
such
δ18O,
generally
systematically
fail
detect
tails
water
therefore
substantially
underestimate
ages
compared
radioactive
3H.
In
this
study
for
Neckar
river
basin
central
Europe
based
on
a
>20-year
record
hydrological,
3H
data,
we
scrutinized
above
postulate
together
with
potential
role
spatial
aggregation
effects
exacerbate
underestimation
ages.
This
was
done
by
comparing
inferred
from
δ18O
total
12
different
model
implementations,
including
lumped
parameter
sine-wave
(SW)
convolution
integral
models
(CO)
well
integrated
hydrological
combination
SAS-functions
(IM-SAS).
We
found
that,
indeed,
commonly
SW
CO
mean
transit
times
(MTT)
~
1–2
years
lower
than
those
obtained
same
models,
reaching
MTTs
10
years.
contrast,
several
implementations
IM-SAS
did
not
only
allow
simultaneous
representations
stream
flow
signals,
but
these
were
16
much
higher
similar
3H,
which
suggested
15
Characterized
posterior
distributions,
particular
parameters
control
age,
individually
constrained
or
observations,
exhibited
limited
differences
magnitudes
parts
temporal
variability
TTDs
response
changing
wetness
conditions.
suggests
both
lead
comparable
descriptions
how
is
routed
through
system.
These
findings
provide
evidence
allowed
us
reject
hypothesis
tracer
“cannot
see
older
about
4
years”
truncates
corresponding
leading
underestimations
Instead,
our
results
broad
equivalence
systems
characterized
at
least
15–20
The
question
degree
heterogeneity
can
further
adversely
affect
estimates
remains
unresolved
distributed
provided
inconclusive
results.
Overall,
demonstrates
reported
most
likely
result
use
other
per
se.
Rather,
be
largely
attributed
choices
approaches
complexity
considering
next
aspects.
Given
additional
vulnerability
due
potentially
other,
still
unknown
effects,
we,
therefore,
advocate
avoid
type
if
possible,
instead
adopt
SAS-based
formulations.
Water Resources Research,
Journal Year:
2022,
Volume and Issue:
58(4)
Published: Feb. 28, 2022
Abstract
Understanding
transit
times
(TT)
and
residence
(RT)
distributions
of
water
in
catchments
has
recently
received
a
great
deal
attention
hydrologic
research
since
it
can
inform
about
important
processes
relevant
to
the
quality
delivered
by
streams
landscape
resilience
anthropogenic
inputs.
The
theory
time
(TTD)
is
practical
framework
for
understanding
TT
natural
landscapes
but,
due
its
lumped
nature,
only
hint
at
possible
internal
taking
place
subsurface.
While
allowing
direct
observation
movement,
Electrical
Resistivity
Imaging
(ERI)
be
leveraged
better
understand
variability
ages
within
subsurface,
thus
enabling
investigation
physical
controlling
time‐variability
TTD.
In
this
study,
we
estimated
time‐variable
TTD
bench‐scale
bare‐soil
sloping
soil
lysimeter
through
StorAge
Selection
(SAS)
framework,
traditional
lumped‐systems
method,
based
on
sampling
output
tracer
concentrations,
as
well
an
ERI
SAS
one,
spatially
distributed
images
ages.
We
compared
ERI‐based
results
with
output‐based
estimates
discuss
viability
laboratory
experiments
ERI‐derived
evolution
were
able
elucidate
mechanisms
driving
being
discharged
system,
which
was
characterized
delayed
discharge
younger
starting
highest
storage
level
continuing
throughout
table
recession.
Journal of Geophysical Research Atmospheres,
Journal Year:
2023,
Volume and Issue:
128(18)
Published: Sept. 7, 2023
Abstract
Evapotranspiration
(ET)
age
is
a
key
metric
of
water
sustainability
but
major
unknown
partly
due
to
the
extreme
difficulty
in
modeling
it.
Groundwater
found
be
important
ET
variations
small‐scale
studies,
yet
our
understanding
insufficient
because
groundwater
systems
are
nested
across
scales.
Here,
we
conducted
GPU‐accelerated
particle
tracking
with
integrated
hydrologic
quantify
at
regional
scale
∼0.4
M
km
2
.
Simulation
results
reveal
topography‐driven
flow
paths
shaping
spatial
and
temporal
patterns
variations.
On
ridges,
where
root
zone
decoupling
deep
subsurface
storage,
generally
young,
seasonal
dominated
by
meteorological
conditions.
In
valley
bottom,
old,
significant
subseasonal
caused
convergence
paths.
hillslopes
table
depths
ranging
from
1
10
m,
shows
strong
connections
lateral
regulated
demand.
Our
approach
provides
insights
into
basic
linkages
between
topography
large
scale.
work
highlights
perspective
multiscale
studies
age,
suggesting
new
field
experiments
test
these
process
determine
if
such
warrant
inclusion
Earth
System
Models.
Hydrology and earth system sciences,
Journal Year:
2022,
Volume and Issue:
26(6), P. 1615 - 1629
Published: March 25, 2022
Abstract.
A
recent
experiment
of
Bowers
et
al.
(2020)
revealed
that
diffusive
mixing
water
isotopes
(δ2H
and
δ18O)
over
a
fully
saturated
soil
sample
few
centimetres
in
length
required
several
days
to
equilibrate
completely.
In
this
study,
we
present
an
approach
simulate
such
time-delayed
processes,
on
the
pore
scale,
beyond
instantaneously
perfectly
mixed
conditions.
The
(DIPMI)
is
based
Lagrangian
perspective
particles
moving
by
diffusion
space
volume
carrying
concentrations
solutes
or
isotopes.
idea
DIPMI
account
for
self-diffusion
across
characteristic
scale
using
pore-size-dependent
coefficients.
model
parameters
can
be
derived
from
soil-specific
retention
curve,
no
further
calibration
needed.
We
test
our
simulating
experimental
data
(2020).
Simulation
results
show
feasibility
reproducing
measured
times
at
different
tensions
space.
This
result
corroborates
finding
soils
depends
size
distribution
specific
properties.
Additionally,
perform
virtual
with
leaching
processes
solute
vertical,
column
compare
against
simulations
common
perfect
assumption.
reveal
frequently
observed
steep
rise
long
tailing
breakthrough
curves,
which
are
typically
associated
non-uniform
transport
heterogeneous
soils,
may
also
occur
homogeneous
media
as
imperfect
subscale
macroscopically
matrix.
Abstract.
Stable
isotopes
(δ18O)
and
tritium
(3H)
are
frequently
used
as
tracers
in
environmental
sciences
to
estimate
the
age
distributions
of
water.
However,
it
has
previously
been
argued
that
seasonally
variable
tracers,
such
δ18O,
generally
systematically
fail
detect
tails
water
therefore
substantially
underestimate
ages
compared
radioactive
3H.
In
this
study
for
Neckar
river
basin
central
Europe
based
on
a
>20-year
record
hydrological,
3H
data,
we
scrutinized
above
postulate
together
with
potential
role
spatial
aggregation
effects
exacerbate
underestimation
ages.
This
was
done
by
comparing
inferred
from
δ18O
total
12
different
model
implementations,
including
lumped
parameter
sine-wave
(SW)
convolution
integral
models
(CO)
well
integrated
hydrological
combination
SAS-functions
(IM-SAS).
We
found
that,
indeed,
commonly
SW
CO
mean
transit
times
(MTT)
~
1–2
years
lower
than
those
obtained
same
models,
reaching
MTTs
10
years.
contrast,
several
implementations
IM-SAS
did
not
only
allow
simultaneous
representations
stream
flow
signals,
but
these
were
16
much
higher
similar
3H,
which
suggested
15
Characterized
posterior
distributions,
particular
parameters
control
age,
individually
constrained
or
observations,
exhibited
limited
differences
magnitudes
parts
temporal
variability
TTDs
response
changing
wetness
conditions.
suggests
both
lead
comparable
descriptions
how
is
routed
through
system.
These
findings
provide
evidence
allowed
us
reject
hypothesis
tracer
“cannot
see
older
about
4
years”
truncates
corresponding
leading
underestimations
Instead,
our
results
broad
equivalence
systems
characterized
at
least
15–20
The
question
degree
heterogeneity
can
further
adversely
affect
estimates
remains
unresolved
distributed
provided
inconclusive
results.
Overall,
demonstrates
reported
most
likely
result
use
other
per
se.
Rather,
be
largely
attributed
choices
approaches
complexity
considering
next
aspects.
Given
additional
vulnerability
due
potentially
other,
still
unknown
effects,
we,
therefore,
advocate
avoid
type
if
possible,
instead
adopt
SAS-based
formulations.
Stable
isotopes
(δ18O)
and
tritium
(3H)
are
frequently
used
as
tracers
in
environmental
sciences
to
estimate
the
age
distributions
of
water.
However,
it
has
previously
been
argued
that
seasonally
variable
tracers,
such
δ18O,
generally
systematically
fail
detect
tails
water
therefore
substantially
underestimate
ages
compared
radioactive
3H.
In
this
study
for
Neckar
river
basin
central
Europe
based
on
a
>20-year
record
hydrological,
3H
data,
we
scrutinized
above
postulate
together
with
potential
role
spatial
aggregation
effects
exacerbate
underestimation
ages.
This
was
done
by
comparing
inferred
from
δ18O
total
12
different
model
implementations,
including
lumped
parameter
sine-wave
(SW)
convolution
integral
models
(CO)
well
integrated
hydrological
combination
SAS-functions
(IM-SAS).
We
found
that,
indeed,
commonly
SW
CO
mean
transit
times
(MTT)
~
1–2
years
lower
than
those
obtained
same
models,
reaching
MTTs
10
years.
contrast,
several
implementations
IM-SAS
did
not
only
allow
simultaneous
representations
stream
flow
signals,
but
these
were
16
much
higher
similar
3H,
which
suggested
15
Characterized
posterior
distributions,
particular
parameters
control
age,
individually
constrained
or
observations,
exhibited
limited
differences
magnitudes
parts
temporal
variability
TTDs
response
changing
wetness
conditions.
suggests
both
lead
comparable
descriptions
how
is
routed
through
system.
These
findings
provide
evidence
allowed
us
reject
hypothesis
tracer
“cannot
see
older
about
4
years”
truncates
corresponding
leading
underestimations
Instead,
our
results
broad
equivalence
systems
characterized
at
least
15–20
The
question
degree
heterogeneity
can
further
adversely
affect
estimates
remains
unresolved
distributed
provided
inconclusive
results.
Overall,
demonstrates
reported
most
likely
result
use
other
per
se.
Rather,
be
largely
attributed
choices
approaches
complexity
considering
next
aspects.
Given
additional
vulnerability
due
potentially
other,
still
unknown
effects,
we,
therefore,
advocate
avoid
type
if
possible,
instead
adopt
SAS-based
formulations.