Environmental Research Letters,
Journal Year:
2023,
Volume and Issue:
18(9), P. 094038 - 094038
Published: Aug. 15, 2023
Abstract
The
Qinghai–Tibet
Plateau
(QTP)
has
responded
to
remarkable
climate
warming
with
dramatic
permafrost
degradation
over
the
past
few
decades.
Previous
studies
have
mostly
focused
on
responses
rising
air
temperature,
while
effects
of
accompanying
increases
in
precipitation
remain
contentious
and
largely
unknown.
In
this
study,
a
distributed
process-based
model
was
applied
quantify
impacts
increased
thermal
regimes
by
employing
experiments
source
region
Yellow
River
(SRYR)
eastern
QTP.
results
showed
that
active
layer
thickness
(ALT)
0.25
m
during
2010–2019
compared
2000
across
SRYR,
which
primarily
driven
warming.
contrast,
annual
played
relatively
limited
role
just
slightly
mitigated
thickening
0.03
m.
Intriguingly,
cold
warm
seasons
exerted
opposite
SRYR.
season
mainly
promoted
ALT
increases,
increases.
∼81.0%
cooling
wetting
outweighed
wetting;
at
transition
zone
where
unstable
degrading
seasonally
frozen
ground,
larger
contributed
degradation.
This
study
explored
physical
mechanisms
wetting,
thus
providing
better
understanding
change
warmer
wetter
Journal of Hydrology,
Journal Year:
2024,
Volume and Issue:
633, P. 131006 - 131006
Published: March 7, 2024
Multiple-objective
calibration
helps
constrain
the
parameter
uncertainties
and
improve
performances
of
hydrological
models.
Previous
studies
have
indicated
that
toward
soil
moisture
data
could
streamflow
simulation,
but
its
influence
on
runoff
source
apportionment
quantification
still
needs
to
be
analyzed.
Meanwhile,
although
isotope
has
proved
representation
internal
processes,
value
simulation
state
variables
such
as
yet
examined.
This
study
utilized
tracer-aided
model
THREW-T
(Tsinghua
Representative
Elementary
Watershed
–
Tracer-aided
version)
in
two
mountainous
basins
Tibetan
Plateau
(The
Upper
Brahmaputra
Yangtze
basins)
evaluate
calibration.
The
result
shows
that:
(1)
produced
good
streamflow,
snow
cover
area,
moisture,
stream
water
simultaneously
areas.
Calibration
caused
slight
(∼0.03)
statistically
significant
(p
<
0.01)
decrease
Nash-Sutcliffe
coefficient
compared
baseline
variant
only
streamflow.
(2)
brought
no
improvement
for
validation
period
stations
both
basins,
improving
simulation.
However,
improved
simulations
moisture's
spatiotemporal
variation.
(3)
Different
variants
resulted
different
estimations
apportionment,
independent
evidence
results
obtained
by
were
most
reasonable.
Calibrations
underestimated
overestimated
contributions
from
subsurface
runoff,
respectively.
Isotope
was
sensitive
objective
significantly
reduced
uncertainty.
Our
found
a
lower
than
we
believe
full
potential
not
due
current
limitations
measurement
methods,
development
relevant
technologies
will
make
more
valuable
Journal of Hydrology Regional Studies,
Journal Year:
2024,
Volume and Issue:
52, P. 101688 - 101688
Published: Feb. 3, 2024
The
Qinghai
Lake
basin
on
the
Qinghai-Tibetan
Plateau.
abrupt
rise
of
water
level
after
2004
has
garnered
significant
attention.
Combining
remote
sensing
and
observed
data,
this
study
estimated
long-term
variations
in
area
volume
lake.
In
order
to
explore
factors
contributing
fluctuation
level,
developed
annual
inter-annual
budgets
for
two
time
intervals:
1960
2020.
Additionally,
a
hydrological
model
was
implemented
Buha
River
Basin,
gain
further
insight
into
increased
runoff
impact
frozen
soil.
found
that
lake
since
primarily
driven
by
runoff,
followed
precipitation,
decreased
evaporation.
Furthermore,
were
established
freezing
period
(November
March
next
year)
thawing
(April
October),
respectively.
results
revealed
contribution
surface
during
significantly
larger
at
68.20
%
compared
15.64
period,
which
is
consistent
conclusions
simulation
suggested.
These
findings
suggest
degradation
soil
Basin
factor
positively
influencing
with
its
intensifying
2004.
Hydrology and earth system sciences,
Journal Year:
2025,
Volume and Issue:
29(2), P. 361 - 379
Published: Jan. 20, 2025
Abstract.
There
is
evidence
that
climate
change
and
human
activities
are
changing
ecohydrological
systems,
yet
the
complex
relationships
among
ecological
(normalized
difference
vegetation
index,
gross
primary
productivity,
water
use
efficiency)
hydrological
variables
(runoff,
soil
storage,
groundwater
etc.)
remain
understudied.
This
study
develops
a
novel
framework
based
on
network
analysis
alongside
satellite
data
in
situ
observations
to
delineate
joint
evolutions
(phenomena)
causal
interactions
(mechanisms)
systems.
The
former
employs
correlations,
latter
uses
physically
constrained
causality
construct
relationships.
applied
Yellow
River
basin,
region
undergoing
profound
changes.
Results
suggest
controlled
by
compound
drivers
direct
causality.
Different
types
of
found
–
namely,
evolution
with
weak
causality,
high
asynchronous
upstream
alpine
subregions,
for
example,
where
subsystem
more
influenced
temperature,
while
one
driven
precipitation,
show
relatively
synchronization
but
lagged
between
two
subsystems.
On
other
hand,
can
be
masked
intensive
(revegetation,
withdrawals,
reservoir
regulation),
leading
distinct
trends.
Other
mechanisms
also
deduced.
Reductions
efficiency
growing
season
directly
caused
control
evapotranspiration,
strength
decreases
greening
land
surface
some
subregions.
Overall,
proposed
provides
useful
insight
into
within
systems
basin
has
applicability
broader
geographical
contexts.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(12)
Published: Dec. 1, 2023
Abstract
The
source
region
of
the
Yangtze
River
(SRYR,
1.4
×
10
5
km
2
above
Zhimenda
station)
on
Tibetan
Plateau
(TP)
has
78%
permafrost
coverage.
streamflow
depth
increased
at
a
rate
2.5
mm/a
since
2000.
Quantification
water
contribution
brought
by
thawing
is
difficult
task.
In
this
study,
we
used
Sentinel‐1
data
and
SBAS‐InSAR
technique
to
monitor
terrain
deformation
from
September
2016
December
2021,
then
utilized
long‐term
assess
ground
ice
meltwater
release
seasonal
evaluate
storage
in
active
layer.
Results
reveal
that
55.3%
SRYR
subsidence
>2.5
mm/a,
indicating
widespread
melting.
4.3
entire
SRYR,
6
Dangqu
Tuotuo
subbasins.
relatively
small
(∼3%)
comparison
151
mm
per
year
during
investigation
period
2017–2021.
We
did
not
detect
strong
increasing
or
decreasing
trend
among
5‐year
deformation,
which
reflects
total
soil
content
layer
change
significantly
short
period.
results
provide
basis
for
richness
loss
information
help
understand
impact
regional
cycle
environment.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(6)
Published: June 1, 2024
Abstract
Climate
change
has
exacerbated
water
stress
and
water‐related
disasters,
necessitating
more
precise
streamflow
simulations.
However,
in
the
majority
of
global
regions,
a
deficiency
data
constitutes
significant
constraint
on
modeling
endeavors.
Traditional
distributed
hydrological
models
regionalization
approaches
have
shown
suboptimal
performance.
While
current
deep
learning
(DL)‐related
trained
large
sets
excel
spatial
generalization,
direct
applicability
these
certain
regions
with
unique
processes
can
be
challenging
due
to
limited
representativeness
within
training
set.
Furthermore,
transfer
DL
pre‐trained
still
necessitate
local
for
retraining,
thereby
constraining
their
applicability.
To
address
challenges,
we
present
physics‐informed
model
based
framework.
It
involves
discretization
establishment
differentiable
discrete
sub‐basins,
coupled
Muskingum
method
channel
routing.
By
introducing
upstream‐downstream
relationships,
errors
sub‐basins
propagate
through
river
network
watershed
outlet,
enabling
optimization
using
downstream
data,
achieving
simulation
ungauged
internal
sub‐basins.
The
model,
when
solely
downstream‐most
station,
outperforms
at
both
station
upstream
held‐out
stations.
Additionally,
comparison
models,
our
requires
fewer
gauge
stations
training,
but
achieves
higher
precision
simulating
spatially
stations,
indicating
better
generalization
ability.
Consequently,
this
offers
novel
approach
data‐scarce
especially
those
poor
representativeness.
