Water Resources Research,
Год журнала:
2023,
Номер
59(1)
Опубликована: Янв. 1, 2023
Abstract
We
present
a
methodology
to
quantify
the
impact
of
model
structure
and
parametric
uncertainty
on
formulations
targeting
biotransformation
processes
Emerging
Contaminants
in
subsurface
water
resources.
The
study
is
motivated
by
recognizing
that
modeling
bio‐mediated
reactions
recalcitrant
compounds
soil
aquifers
plagued
uncertainty.
At
same
time,
process‐based
models
often
require
parameterization
complex
physico‐chemical
processes,
situation
which
exacerbated
paucity
direct
observations.
Thus,
assessment
formulation
tools
capable
balance
complexity
reliability
key
challenge.
strategy
proposed
here
aims
at
pairing
applying
suite
quantitative
starting
from
prior
diagnosis
multiple
sources
leading
parameter
estimation
selection
presence
limited
number
illustrated
through
application
multi‐step,
reactive
scenario
involving
pharmaceutical
diclofenac
(DCF)
groundwater.
Our
framework
includes
four
plausible
models.
These
are
obtained
successive
simplifications
recently
developed
highly
model.
Such
accomplished
consistent
with
results
comprehensive
Multi‐Model
Global
Sensitivity
Analysis.
latter
allows
ranking
levels
influence
system
outputs
incorporating
effects
uncertainties.
kinetic
loop‐initiating
process
(DCF
nitrosation,
linked
temporal
evolution
N‐cycle
components)
documented
as
dominating
explaining
variability
environmental
interest.
Model
discrimination
criteria
suggest
simplified
counterpart
reference
favored
interpret
available
data.
approach
can
assist
interpretation
prototyping
wide
range
contaminant
objective
also
for
purpose
developing
credible
(environmental)
risk
designing
experimental
sampling
campaigns.
Reviews of Geophysics,
Год журнала:
2025,
Номер
63(1)
Опубликована: Фев. 14, 2025
Abstract
Karst
water
resources
are
valuable
freshwater
sources
for
around
10%
of
the
world's
population.
Nonetheless,
anthropogenic
impacts
and
global
changes
have
seriously
deteriorated
karst
quality
dependent
ecosystems.
Multiscale
karstic
heterogeneity—referring
to
spatial
variations
aquifer's
physical
chemical
characteristics
at
varying
scales—is
main
challenge
in
describing
flow
contaminant
transport
dynamics.
Solute
models
powerful
tools
represent
predict
spatiotemporal
behaviors
migration
resources.
By
enhancing
our
understanding
processes,
solute
enable
us
explore
contamination
risks
potential
outcomes
contamination‐related
issues
systems.
Because
that,
they
often
used
monitoring,
controlling,
managing
ecosystem
functioning.
This
paper
reviews
current
state
knowledge
on
modeling
processes
with
a
focus
single‐phase
transport.
unveiling
fundamental
challenges
underlying
successful
real‐world
application
models,
we
discuss
what
extent
how
can
handle
these
challenges.
further
deriving
key
afront
applications
systems,
we,
therefore,
provide
directions
ensure
reliable
dynamics
present
context
changes.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 4, 2025
Industrial
waste
significantly
impacts
water
and
soil
quality,
restricting
their
suitability
for
agricultural
domestic
use.
This
study
investigates
the
distribution
of
heavy
metals
(HMs)
in
groundwater
soils
across
Shazand
plain
under
different
irrigation
methods
rainfed
farming
systems.
It
evaluates
Total
Hazard
Quotient
(THQ)
Carcinogenic
Risk
(TCR)
associated
with
HMs
both
children
adults,
considering
exposure
through
ingestion,
dermal
contact,
inhalation.
A
total
104
samples
were
collected,
comprising
from
wells
boreholes,
samples.
Concentrations
Pb,
Cd,
Cr,
Ni,
Hg,
Zn,
Cu
analyzed
using
atomic
absorption
spectrometry,
data
assessed
descriptive
inferential
statistics.
The
highest
average
concentrations
observed
Cr
(19
µg
l−1)
Zn
(22.8
l−1).
In
samples,
(35.28
g−1)
(216.52
exhibited
values.
Index
(HI)
indicated
a
high
risk
age
groups,
ranging
moderate
to
very
areas.
Soil
Pollution
Load
(PLI)
was
18.22
71.17
irrigated
farming,
indicating
severe
HM
contamination
site.
health
risks
exceeded
acceptable
levels,
showing
greater
vulnerability
compared
adults.
research
underscores
urgent
need
effective
environmental
management
strategies
mitigate
contamination,
safeguard
public
health,
ensure
sustainable
practices
industrialized
regions.
Water Resources Research,
Год журнала:
2023,
Номер
59(1)
Опубликована: Янв. 1, 2023
Abstract
We
present
a
methodology
to
quantify
the
impact
of
model
structure
and
parametric
uncertainty
on
formulations
targeting
biotransformation
processes
Emerging
Contaminants
in
subsurface
water
resources.
The
study
is
motivated
by
recognizing
that
modeling
bio‐mediated
reactions
recalcitrant
compounds
soil
aquifers
plagued
uncertainty.
At
same
time,
process‐based
models
often
require
parameterization
complex
physico‐chemical
processes,
situation
which
exacerbated
paucity
direct
observations.
Thus,
assessment
formulation
tools
capable
balance
complexity
reliability
key
challenge.
strategy
proposed
here
aims
at
pairing
applying
suite
quantitative
starting
from
prior
diagnosis
multiple
sources
leading
parameter
estimation
selection
presence
limited
number
illustrated
through
application
multi‐step,
reactive
scenario
involving
pharmaceutical
diclofenac
(DCF)
groundwater.
Our
framework
includes
four
plausible
models.
These
are
obtained
successive
simplifications
recently
developed
highly
model.
Such
accomplished
consistent
with
results
comprehensive
Multi‐Model
Global
Sensitivity
Analysis.
latter
allows
ranking
levels
influence
system
outputs
incorporating
effects
uncertainties.
kinetic
loop‐initiating
process
(DCF
nitrosation,
linked
temporal
evolution
N‐cycle
components)
documented
as
dominating
explaining
variability
environmental
interest.
Model
discrimination
criteria
suggest
simplified
counterpart
reference
favored
interpret
available
data.
approach
can
assist
interpretation
prototyping
wide
range
contaminant
objective
also
for
purpose
developing
credible
(environmental)
risk
designing
experimental
sampling
campaigns.
