Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(9)
Published: Sept. 1, 2024
Abstract
Isotope‐enabled
models
provide
a
means
to
generate
robust
hydrological
simulations.
However,
daily
isotope‐enabled
rainfall‐runoff
applied
larger
spatial
scales
(>100
km
2
)
require
more
input
data
than
conventional
non‐isotope
in
the
form
of
precipitation
isotope
time
series,
which
are
difficult
even
with
point
station
measurements.
Spatially
distributed
can
be
circumvented
by
climate
models.
Here,
we
evaluate
simulations
J2000‐isotope
enabled
model
driven
from
corrected
and
un‐corrected
global
regional
(isotope‐enabled
spectral
[IsoGSM]
[IsoRSM],
respectively)
compared
1
year
measured
reference
yearly
average
for
pilot
site,
data‐scarce
sub‐humid
Eerste
River
catchment
South
Africa.
The
all
products
performed
well
upstream
downstream
discharge
gauges
Nash
Sutcliffe
efficiency
(NSE)
0.58
0.85
LogNSE
0.66
0.93.
simulated
δ
H
stream
isotopes
using
J2000‐iso
J2000‐isoRSM
were
good
main
river
Kling
Gupta
(KGE)
between
0.4–0.9
top
100
Monte
Carlo
varying
around
5‰
H.
For
smaller
tributaries
was
unable
capture
due
biased
inputs.
Adjusting
bias
IsoRSM
improved
groundwater
simulation
outperformed
an
input.
Differences
processes
only
evident
when
evaluating
percolation
unrealistic
standard
J2000
model.
While
is
computationally
intensive
its
counterpart,
it
provided
better
improvements
percolation.
Our
results
indicate
that
useful
scarce
regions
models,
where
water
management
address
change
impacts
needed.
Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(4)
Published: April 1, 2024
Abstract
Continuing
negative
rainfall
anomalies,
coupled
with
climate
change
projections
of
increased
drought
severity
and
frequency,
drive
an
urgent
need
to
increase
resilience
integration
in
land
water
management
strategies
many
regions
the
world.
However,
complex
interactions
between
cover
change,
ecohydrological
partitioning
availability
are
difficult
quantify,
especially
at
different
temporal
spatial
scales.
In
conjunction
local
stakeholders,
we
developed
plausible,
alternative
use
scenarios
(including
forest
diversification
agroforestry
schemes)
based
on
existing
four
primary
types
(i.e.,
conifer
broadleaved
forests,
arable
agriculture,
pasture)
a
66
km
2
drought‐sensitive
catchment
northern
Germany.
We
used
modelling
evaluate
changes
flux
partitioning,
storage
ages.
The
spatially‐distributed,
tracer‐aided
model,
EcH
O‐iso,
calibrated
using
hydrometric,
isotopic
data
daily
time
steps
from
2007
2019
was
this
assessment.
results
showed
that
replacing
forests
uneven‐aged
mixed
younger
broad‐leaved
trees
had
greatest
potential
for
reducing
total
evapotranspiration
increasing
groundwater
recharge.
For
coniferous
50%
proportion
projected
result
11%
recharge
across
catchment.
mixed‐forest
alternatives
also
reduced
turnover
times,
which
would
support
more
rapid
recovery
soil
moisture
stores
following
droughts.
This
study
demonstrates
such
approach
has
contribute
useful
science‐based
evidence
policy
makers
allowing
quantitative
assessment
effects
effective
communication
stakeholders.
ABSTRACT
During
the
last
decade,
tracer‐aided
hydrological
models
(TAMs)
have
been
applied
in
numerous
studies
and
successfully
evolved
for
different
purposes.
Such
confirmed
value
of
tracer
data
modeling,
offering
insights
into
internal
storages,
water
sources,
flow
pathways,
mixing
processes,
ages,
which
cannot
be
derived
from
hydrometric
alone.
The
direct
coupling
tracers
flux
tracking
balance
can
reduce
model
uncertainty
through
increased
biogeochemical
process
knowledge.
More
specifically,
such
simultaneously
capture
celerity
responses
with
velocities
(and
age)
particles.
As
a
result
availability
high‐resolution
characterizing
functioning
across
Critical
Zone
entire
landscapes,
together
rapid
improvement
computing
capacity,
four
major
advances
reshaped
capability
TAMs,
we
review
this
paper:
(1)
enhanced
representation
spatial
heterogeneity,
(2)
more
explicit
conceptualization
ecohydrological
partitioning,
(3)
application
to
larger
catchment
scales,
(4)
incorporation
non‐conservative
coupled
quality
modeling.
However,
persistent
challenges
also
emerged,
particularly
relation
acquisition,
mismatches
between
information
content
scale
application,
uncertainties
structures,
as
well
adaptation
multi‐criteria
calibration.
In
review,
recent
remaining
TAMs
summarized
discussed
particular
focus
on
conservative
models.
Hydrological Processes,
Journal Year:
2025,
Volume and Issue:
39(4)
Published: April 1, 2025
ABSTRACT
The
tracer‐aided
modelling
has
gained
widespread
attention
in
recent
years
as
a
crucial
approach
for
investigating
watershed
hydrological
functions.
However,
errors
model
inputs,
such
precipitation,
evapotranspiration
(ET)
and
isotopes
can
lead
to
uncertainty
physically
meaningful
parameters,
which,
turn,
affects
the
accurate
depiction
of
In
this
study,
we
focused
on
Hemuqiao
watershed,
typical
humid
mountainous
region
southeast
China,
equipped
with
intensive
isotopic
monitoring.
Two
Reservoirs
StorAge
Selection
(TRSAS)
was
adopted
explore
impact
input
data
understanding
connectivity
preferential
flow.
results
show
that
observation
precipitation
ET
do
not
significantly
reduce
performance
(with
optimal
NSE
value
decreasing
by
up
0.05).
they
increase
simulation
primarily
due
associated
large
events.
contrast,
observed
particularly
during
extreme
events,
meanwhile
significant
differences
some
parameters
compared
no
error
data.
Although
proportion
young
water
fraction
streamflow
does
noticeable
difference,
proportions
lateral
subsurface
flow
tend
be
overestimated
(i.e.,
approximately
0.14
0.08,
respectively,
average
over
long
term).
This
an
overestimation
between
soil
streamflow.
These
findings
suggest
models,
improving
accuracy
is
more
critical
accurately
processes
than
enhancing
spatial
observations
ET.
ABSTRACT
While
measured
streamflow
is
commonly
used
for
hydrological
model
evaluation
and
calibration,
an
increasing
amount
of
data
on
additional
variables
available.
These
have
the
potential
to
improve
process
consistency
in
modeling
consequently
predictions
under
change,
as
well
data‐scarce
or
ungauged
regions.
Here,
we
show
how
these
beyond
are
currently
calibration.
We
consider
storage
flux
variables,
namely
snow,
soil
moisture,
groundwater
level,
terrestrial
water
storage,
evapotranspiration,
altimetric
level.
aim
at
summarizing
state‐of‐the‐art
providing
guidance
use
Based
a
review
current
literature,
summarize
observation
methods
uncertainties
available
sets,
challenges
regarding
their
implementation,
benefits
consistency.
The
focus
catchment
studies
with
study
areas
ranging
from
few
km
2
~500,000
.
discuss
implementing
alternative
that
related
differences
spatio‐temporal
resolution
observations
models,
variable‐specific
features,
example,
discrepancy
between
observed
simulated
variables.
further
advancements
required
deal
integrate
multiple,
potentially
inconsistent
datasets.
increased
improvement
shown
by
most
reviewed
often
come
cost
slight
decrease
performance.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(11)
Published: Nov. 1, 2023
Abstract
Calibrating
distributed
hydrological
models
often
leads
to
equifinality
due
complex
model
structures,
which
can
be
further
exacerbated
in
wetlands
spatio‐temporal
heterogeneity
ecohydrological
processes.
Here,
step‐wise
calibrations
of
the
physically‐based
EcH
2
O‐iso
was
conducted
a
data‐rich
wetland
by
minimizing
weighted
average
errors
on
discharge,
stream
isotopes,
groundwater
(GW)
and
soil
moisture.
Results
showed
multi‐criteria
calibration
outperformed
single‐criterion
as
it
strongly
increased
overall
performance,
yet
only
marginally
degraded
performance
each
target.
Isotopes
were
highlighted
appropriate
auxiliary
data
they
effectively
constrained
with
relatively
small
weights
(0.1).
However,
those
parameter
sets
that
minimize
could
still
lead
physically
implausible
simulations
uncalibrated
internal
states
or
fluxes.
This
demonstrated
an
approach
developed
check
fluxes
based
soft
(transpiration
lateral
flow),
suggesting
54%
optimized
gave
“right
answers
for
wrong
reasons.”
By
excluding
against
data,
such
equifinality,
unraveled
potential
inconsistencies
between
observations
calibration.
Modeling
represented
slow‐draining
system
mainly
fed
GW,
but
also
influenced
near‐surface
flow
during
winter
summer
convectional
events.
Further,
functioning
partly
attributed
distinct
evapotranspiration
patterns
contrasting
vegetation
communities.
Therefore,
this
study
not
provided
insights
into
functioning,
revealed
even
abundant
calibration,
solutions
integration
isotopes
data.
Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(6)
Published: June 1, 2024
Abstract
Low‐flow
events,
characterized
by
a
significant
water
deficiency
in
river
systems,
have
profound
impacts
on
various
users
and
ecology.
Recent
low‐flow
events
Europe
had
severe
economic
ecological
consequences
such
as
disruptions
to
hydropower
production,
irrigation
bans,
constraints
navigation
complete
drying.
These
highlight
the
urgent
need
for
effective
risk
management
demand
holistic
analysis
basis.
The
existing
approaches
often
focus
hydrological
aspects,
utilizing
indices
Standardized
Runoff
Index
(SRI)
or
.
However,
these
lack
information
regarding
impacts.
Other
consider
parts
of
approach
but
special
economy;
general,
no
assessment
is
made.
This
study
introduces
conceptual
analysis.
provides
continuous
long‐term
simulation
capture
behaviour
therefore
avoids
complex
definition
scenarios.
In
this
approach,
analysed
using
combination
analyses
that
cover
all
aspects
from
occurrence
consequences.
Meteorological
used
generate
synthetic
weather
data
time
series,
which
are
transformed
into
runoff
series
Based
results,
hydrodynamic
quantifies
levels,
temperatures,
flow
velocities
along
river.
terms
socio‐economic
results
represent
damage
values.
Finally,
values
summed
divided
number
years
considered
For
testing
demonstration
purposes,
presented
partly
applied
proof‐of‐concept
at
Selke
catchment,
small
catchment
Germany.
presented,
evaluated,
discussed.