Abstract:
Hydrogen
and
oxygen
stable
isotope
abundance
(δ2H
δ18O)
were
measured
in
water
collected
from
152
sites
(divided
into
reach
I,
II
III)
the
Yangtze
River
mainstream
during
dry
wet
seasons.
The
contribution
rates
of
precipitation,
glaciers
snow
meltwater,
groundwater
determined
by
Bayesian
modelling.
seasonal
spatial
characteristics
isotopic
river
similar
to
that
indicating
precipitation
may
be
dominant
source
mainstream.
model
results
showed
contributions
meltwater
greatly
influence
I
II,
almost
equal
season,
while
was
only
governed
season.
increase
magnitude
δ18O
values
III
greater
revealing
lakes
had
a
larger
at
this
time.
slope
intercept
evaporation
line
(REL)
exhibited
gradual
decrease
upper
middle
lower
reaches,
which
due
various
recharge
sources
differing
volumes
evaporation.
Aside
intensifying
variation
ratios
lakes,
emplacement
Three
Gorges
Dam
(TGD)
reduced
reservoir.
This
study
will
enhance
understanding
hydrological
materials
cycle
Basin
provide
vital
baseline
knowledge
on
different
Atmospheric chemistry and physics,
Год журнала:
2024,
Номер
24(18), С. 10741 - 10758
Опубликована: Сен. 25, 2024
Abstract.
Eulerian
and
Lagrangian
numerical
moisture
tracking
models,
which
are
primarily
used
to
quantify
contributions
from
global
sources
specific
regions,
play
a
crucial
role
in
hydrology
(paleo)climatology
studies
on
the
Tibetan
Plateau
(TP).
Despite
their
widespread
applications
TP
region,
potential
discrepancies
results
underlying
causes
remain
unexplored.
In
this
study,
we
compare
most
widely
models
over
TP,
i.e.,
WAM2layers
(the
Water
Accounting
Model
–
2
layers)
FLEXPART-WaterSip
FLEXible
PARTicle
dispersion
model
coupled
with
“WaterSip”
source
diagnostic
method),
specifically
focusing
basin
governed
by
Indian
summer
monsoon
(Yarlung
Zangbo
River
basin,
YB)
westerly-dominated
(upper
Tarim
UTB).
Compared
bias-corrected
FLEXPART-WaterSip,
generally
estimates
higher
distant
but
lower
local
recycling
nearby
downwind
of
westerlies.
These
differences
become
smaller
spatial
temporal
resolutions
forcing
data
WAM2layers.
A
notable
advantage
is
its
closer
alignment
estimated
actual
evaporation,
particularly
regions
complex
land–sea
distributions.
However,
evaporation
biases
can
be
partly
corrected
through
calibration
surface
fluxes.
For
recommend
using
high-resolution
datasets,
prioritizing
resolution
for
WAM2layers,
while
suggest
applying
bias
corrections
optimize
filtering
precipitation
particles
adjust
estimates.
