Consistent Modeling of Transport Processes and Travel Times—Coupling Soil Hydrologic Processes With StorAge Selection Functions
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(1)
Published: Jan. 1, 2024
Abstract
Understanding
the
transport
processes
and
travel
times
of
pollutants
in
subsurface
is
crucial
for
an
effective
management
drinking
water
resources.
Transport
soil
hydrologic
are
inherently
linked
to
each
other.
In
order
account
this
link,
we
couple
process‐based
model
RoGeR
with
StorAge
Selection
(SAS)
functions.
We
assign
hydrological
process
a
specific
SAS
function
(e.g.,
power
law
distribution
function).
To
represent
different
mechanisms,
combined
set
functions
into
four
structures:
complete‐mixing,
piston
flow,
advection‐dispersion
time‐variant
parameters.
study,
conduct
modeling
experiments
at
Rietholzbach
lysimeter,
Switzerland.
All
benchmarked
HYDRUS‐1D.
compare
our
simulations
measured
variables
(percolation
evapotranspiration
fluxes
storage
dynamics)
stable
isotope
signal
(
18
O)
lysimeter
seepage
period
ten
years
(1997–2007).
An
additional
virtual
bromide
tracer
experiment
was
used
benchmark
models.
Additionally,
carried
out
sensitivity
analysis
provided
Sobol
indices
parameters
Our
results
indicate
that
produces
best
results.
And
thus,
advective‐dispersive
play
dominant
role
lysimeter.
approach
provides
capability
test
hypotheses
mechanisms
improve
understanding
predictions
processes.
Overall,
allows
very
simulation
flux
various
temporal
spatial
scales.
Language: Английский
Consistent modelling of transport processes and travel times - coupling soil hydrologic processes with StorAge Selection functions
Authorea (Authorea),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 27, 2023
Understanding
the
transport
processes
and
travel
times
of
pollutants
in
subsurface
is
crucial
for
an
effective
management
drinking
water
resources.
Transport
soil
hydrologic
are
inherently
linked
to
each
other.
In
order
account
this
link,
we
couple
process-based
model
RoGeR
with
StorAge
Selection
(SAS)
functions.
We
assign
hydrological
process
a
specific
SAS
function
(e.g.
power
law
distribution
function).
To
represent
different
mechanisms,
combined
set
functions
into
four
structures:
complete-mixing,
piston
flow,
advection-dispersion
time-variant
parameters.
study,
conduct
modelling
experiments
at
Rietholzbach
lysimeter,
Switzerland.
All
benchmarked
HYDRUS-1D.
compare
our
simulations
measured
variables
(percolation
evapotranspiration
fluxes
dynamics)
stable
isotope
signal
(18O)
lysimeter
seepage
period
ten
years
(1997-2007).
An
additional
virtual
bromide
tracer
experiment
was
used
benchmark
models.
Additionally,
carried
out
sensitivity
analysis
provide
Sobol
indices
parameters
Our
results
show
that
produces
best
results.
And
thus,
advective-dispersive
play
dominant
role
lysimeter.
approach
provides
capability
test
hypotheses
mechanisms
improve
understanding
predictions
processes.
Overall,
allows
very
simulation
flux
various
temporal
spatial
scales.
Language: Английский