Water Resources Research,
Journal Year:
2024,
Volume and Issue:
61(1)
Published: Dec. 31, 2024
Abstract
The
study
of
sediment‐riverflow
interactions
during
discrete
hydrological
events
is
vital
for
enhancing
our
understanding
the
cycle.
Hysteresis
analysis,
relying
on
high‐resolution,
continuous
monitoring
suspended
sediment
concentration
(SSC)
and
discharge
(Q)
data,
an
effective
tool
investigating
complex
events.
It
captures
differing
dynamic
at
same
level,
which
results
from
asynchrony
between
hydrograph
graph
different
phases
event.
However,
there
has
been
no
comprehensive
review
systematically
addressing
utility
significance
hysteresis
analysis
in
soil
water
management.
This
synthesizes
findings
over
500
global
studies,
providing
a
detailed
examination
current
research.
We
trace
development
application
hydrology,
illustrating
its
role
classifying
characterizing
events,
as
well
uncovering
sources
transport
mechanisms.
Furthermore,
proven
identifying
critical
offering
valuable
insights
targeted
watershed
Our
spatiotemporal
research
shows
that
70%
studies
are
located
semi‐arid
Mediterranean
climate
zones,
with
increasing
focus
alpine
tropical
regions
due
to
change.
also
highlights
limitations,
including
scarcity
high‐resolution
inconsistent
use
quantitative
indices,
limited
integration
patterns
into
predictive
approaches.
Future
should
developing
region‐specific
models
incorporate
dynamics,
along
standardizing
methodologies
apply
across
diverse
climatic
geomorphic
settings.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
940, P. 173677 - 173677
Published: May 31, 2024
Eutrophication
is
a
significant
environmental
problem
caused
by
nutrient
loads
from
both
point
and
non-point
sources.
Weather
variables,
particularly
precipitation,
affect
the
concentration
of
nutrients
in
water
bodies,
those
sources,
two
contrasting
ways.
Heavy
precipitation
causes
surface
runoff
which
transports
pollutants
to
rivers
increases
concentration.
Conversely,
increased
river
flow
can
dilute
concentration,
lowering
it.
This
study
investigates
impact
extreme
prolonged
after
dry
period
on
total
phosphorus
Moehne
Erft
Germany,
given
projected
increase
frequency
events
long
drought
periods
due
climate
change.
The
comprises
parts:
selecting
weather
days
2001
2021
comparing
observed
Total
Phosphorus
concentrations
with
estimated
derived
Generalized
Additive
Models
linear
regression
based
discharge-concentration
relationship.
Changes
TP
response
continuous
were
also
studied.
Our
results
showed
that
during
wet
post-dry
rainfall
events,
consistently
surpassed
expected
values,
underscoring
profound
influence
intense
mobilization.
However,
we
be
non-unidirectional.
work
distinguished
three
key
innovations:
1)
addressing
limitations
studying
effects
quality
limited
temporal
resolution,
2)
incorporating
non-linear
modeling
approaches
for
relationships,
3)
performing
comprehensive
analysis
spatial
patterns
varying
patterns.
Water Research,
Journal Year:
2024,
Volume and Issue:
264, P. 122108 - 122108
Published: July 25, 2024
The
profound
influence
of
climate
change
on
the
hydrological
cycle
raises
concerns
about
its
potential
impacts
water
quality,
particularly
in
agricultural
catchments.
Here,
we
analysed
200
storm
events
monitored
for
nitrate
and
total
phosphorus
(TP)
at
sub-hourly
intervals
from
2016
to
2023
Kervidy-Naizin
catchment
(north-western
France).
Using
Extreme
Value
theory,
identified
with
extreme
concentrations
compared
their
hydroclimatic
characteristics
those
non-extreme
events.
We
hypothesised
that
concentration
occurred
under
conditions,
which
are
projected
become
more
frequent
future.
showed
dilution
patterns
nitrate,
decreasing
by
up
41
%,
accretion
TP,
increasing
1400
%
Hydroclimatic
conditions
during
were
characterised
high
rainfall
intensities
low
antecedent
discharge,
but
no
particular
mean
discharge.
During
events,
concentration-discharge
relationships
exhibited
primarily
clockwise
hysteresis,
whereas
TP
displayed
an
equal
mix
anticlockwise
loops.
In
contrast,
hysteresis
weak
TP.
interpreted
these
dynamics
controls
as
result
infiltration-excess
overland
flow
diluting
nitrate-rich
groundwater
exporting
large
amounts
intensive
following
droughts,
while
fluctuations
riparian
zone
streambed
remobilization
control
nutrient
exports
Given
frequency
intensity
extremes,
such
retrospective
analyses
can
provide
valuable
insights
into
future
streams
draining
Water,
Journal Year:
2024,
Volume and Issue:
16(18), P. 2628 - 2628
Published: Sept. 16, 2024
This
study
investigates
the
long-term
trends
(1992–2022)
of
nitrogen
and
phosphorus
loadings
exported
by
River
Po
to
Adriatic
Sea,
better
analyse
how
changes
in
hydrology
are
affecting
timing
magnitude
river
nutrient
loads.
We
used
30
years
monitoring
data
order
(a)
identify
main
temporal
patterns
their
interactions
at
a
decadal,
annual
seasonal
scale,
(b)
estimate
precipitation
effects
on
load
formation
evaluate
whether
which
extent
hydrological
regime
affects
export
across
(c)
monthly
scale
transport
dynamic
N
P
chemical
species
(hydrological
vs.
biogeochemical
control).
The
analysis
shows
general
decrease
both
loadings,
but
different
between
elements
species,
as
well
undergoing
variations.
found
statistically
significant
relationships
loads,
demonstrates
that
drive
intra-
interannual
time
scales
considered
this
study.
Precipitation-induced
trigger
deliveries
sea,
peaking
spring
autumn.
is
mainly
concentrated
summer
dry
period,
while
total
diminishes
mismatch
results
variable
molar
N:P
ratios
within
year.
extreme
drought
flood
events,
along
with
progressive
snowmelt
contribution
water
fluxes,
expected
exacerbate
variability
turn
perturbate
biodiversity,
food
webs
trophic
state
Northern
Sea.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(3)
Published: March 1, 2025
Abstract
Hydrologic
regimes
are
affecting
terrestrial
carbon
transformation,
chemical
weathering
and
lateral
transport.
However,
its
impacts
on
dissolved
export
patterns
remains
elusive.
In
this
study,
we
collected
a
2‐year
high‐frequency
inorganic
(DIC)
organic
(DOC)
dataset,
namely
wet
year
(Rainfall
=
1,158
mm)
dry
603
mm).
The
results
showed
that
drought
led
to
significant
decrease
in
concentration
discharge
during
the
monitoring
period.
During
non‐storm
periods,
DIC
DOC
shifted
from
dilution
chemostatic
enrichment
years,
respectively.
were
reversed
storm
periods.
dominated
by
chemostatic,
respectively,
while
both
year.
Structural
equation
models
revealed
aridity
index
temperature
may
affect
patterns.
We
further
classified
events
into
three
major
types
conceptualized
catchment‐scale
transport
mechanisms
for
carbon.
Dry‐AMCs
result
behavior,
whereas
Wet‐AMCs
behavior
due
increased
hydrological
connectivity.
third
type
corresponds
extreme
events,
where
larger
overland
flow
often
but
behavior.
These
findings
reveal
predominant
role
of
altering
decreasing
concentrations
fluxes
modifying
Journal of Geophysical Research Biogeosciences,
Journal Year:
2025,
Volume and Issue:
130(4)
Published: March 27, 2025
Abstract
Headwater
streams
make
up
nearly
80%
of
the
stream
network
by
length
and
play
an
important
role
in
shaping
physical,
chemical,
biological
functions
downstream
waters.
In
Southeastern
US,
these
systems
are
beginning
to
experience
increases
frequency
duration
drying,
but
it
is
unclear
how
increased
drying
will
impact
water
quality.
To
begin
address
this
issue,
we
examined
nitrogen
dynamics
a
forested
headwater
across
annual
event.
The
event
was
divided
into
seasonal
wet
(March–June),
dry‐down
(June–October),
rewet
(November–March)
periods.
We
used
combination
quality
sensors
at
watershed
outlet,
spatially
distributed
synoptic
sampling
net
denitrification
conditions
physicochemical
variables
watershed,
series
potential
experiments
examine
variation
biogeochemical
state
At
nitrate
concentrations
were
positively
correlated
with
watershed‐scale
connectivity
during
period,
while
streamflow
period.
Throughout
varied
more
seasons
than
space,
greater
Further,
temperature,
nitrate,
ammonium
inversely
related
streamflow.
Finally,
measurements
confirmed
period
experienced
highest
rates.
Our
results
highlight
connection
between
humid
systems,
providing
key
information
for
developing
predictive
understanding
streams.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(4)
Published: March 29, 2025
Abstract
Headwater
catchments
have
strong
impacts
on
downstream
waterways,
near‐shore
ecosystems,
and
the
quality
of
water
available
for
growing
human
populations.
Thus,
understanding
how
solutes
are
exported
through
these
upland
landscapes
is
critically
important.
A
body
literature
highlights
interaction
topography,
climate,
critical
zone
structure
as
a
key
control
streamflow
chemical
export.
However,
more
focused
work
needed
to
pinpoint
variability
in
subsurface
across
lithologically
complex
regions
signals
at
catchment
outlets.
Here,
we
aim
better
understand
lithology
zones
modulate
response
solute
export
patterns
two
central
coastal
California
headwater
that
similar
vegetation,
climate
but
different
lithologies.
We
monitored
collected
surface
samples
outlets
dissolved
major
ions
organic
carbon
(DOC)
consecutive
years.
The
with
mélange
bedrock
displayed
much
flashier
hydrologic
behavior
7.8
times
higher
peak
flow
values
1.9
mean
event
concentrations
DOC,
suggesting
shorter
shallower
paths
likely
arise
from
bedrock.
Despite
distinct
DOC
export,
ion
were
broadly
chemostatic,
which
may
be
driven
by
rapid
reactions
both
catchments.
Our
contributes
building
an
integrated
subtle
differences
can
profound
routed
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 7, 2025
The
Net
Ecosystem
Carbon
Balance
(NECB)
is
a
crucial
metric
for
understanding
integrated
carbon
dynamics
in
Arctic
and
boreal
regions,
which
are
vital
to
the
global
cycle.
These
areas
associated
with
significant
uncertainties
rapid
climate
change,
potentially
leading
unpredictable
alterations
dynamics.
This
mini-review
examines
key
components
of
NECB,
including
sequestration,
methane
emissions,
lateral
transport,
herbivore
interactions,
disturbances,
while
integrating
insights
from
recent
permafrost
region
greenhouse
gas
budget
syntheses.
We
emphasize
need
holistic
approach
quantify
incorporating
all
their
uncertainties.
review
highlights
methodological
advances
flux
measurements,
improvements
eddy
covariance
automatic
chamber
techniques,
as
well
progress
modeling
approaches
data
assimilation.
Key
research
priorities
identified,
such
improving
representation
inland
waters
process-based
models,
expanding
monitoring
networks,
enhancing
integration
long-term
field
observations
approaches.
efforts
essential
accurately
quantifying
current
future
budgets
rapidly
changing
northern
landscapes,
ultimately
informing
more
effective
change
mitigation
strategies
ecosystem
management
practices.
aligns
goals
Monitoring
Assessment
Program
(AMAP)
Conservation
Flora
Fauna
(CAFF),
providing
important
policymakers,
researchers,
stakeholders
working
understand
protect
these
sensitive
ecosystems.
Hydrological Processes,
Journal Year:
2025,
Volume and Issue:
39(5)
Published: May 1, 2025
ABSTRACT
Machine‐learning
models
have
been
surprisingly
successful
at
predicting
stream
solute
concentrations,
even
for
solutes
without
dedicated
sensors.
It
would
be
extremely
valuable
if
these
could
predict
concentrations
in
streams
beyond
the
one
which
they
were
trained.
We
assessed
generalisability
of
random
forest
by
training
them
or
more
and
testing
another.
Models
made
using
grab
sample
sensor
data
from
10
New
Hampshire
rivers.
As
observed
previous
studies,
trained
capable
accurately
that
stream.
However,
on
produced
inaccurate
predictions
other
streams,
with
exception
measured
sensors
(i.e.,
nitrate
dissolved
organic
carbon).
Using
multiple
watersheds
improved
model
results,
but
performance
was
still
worse
than
mean
dataset
(Nash–Sutcliffe
Efficiency
<
0).
Our
results
demonstrate
machine‐learning
thus
far
reliably
only
where
trained,
as
differences
concentration
patterns
sensor‐solute
relationships
limit
their
broader
applicability.