Contrasting origins of spring water in a ‘water tower’ of Northeast Asia: Evidence from stable isotopes and tritium
Journal of Hydrology,
Год журнала:
2025,
Номер
unknown, С. 132661 - 132661
Опубликована: Янв. 1, 2025
Язык: Английский
Understanding the efficiency and uncertainty of water supply service assessment based on the Budyko framework: A case study of the Yellow River Basin, China
Ecological Indicators,
Год журнала:
2025,
Номер
173, С. 113395 - 113395
Опубликована: Март 29, 2025
Язык: Английский
Snow cover variability assessment and its interplay with hydro-climatic characteristics in data scarce region of Gilgit-Baltistan, Pakistan
Journal of Environmental Management,
Год журнала:
2025,
Номер
382, С. 125375 - 125375
Опубликована: Апрель 16, 2025
Язык: Английский
Advancing the Reliability of Future Hydrological Projections in a Snow‐Dominated Alpine Watershed: Integrating Uncertainty Decomposition and CycleGAN Bias Correction
Earth s Future,
Год журнала:
2025,
Номер
13(5)
Опубликована: Май 1, 2025
Abstract
Given
the
sensitivity
of
snow
to
climate
change
and
its
critical
role
in
hydrological
cycle
alpine
regions,
it
is
essential
reduce
biases
meteorological
forces
for
driving
models.
This
study,
taking
Manas
River
Basin
(MRB)
Xinjiang
China
as
test
bed,
aims
quantify
uncertainties
hydrometeorological
variables
from
24
NASA
Earth
Exchange
Global
Daily
Downscaled
Projections
(NEX‐GDDP‐CMIP6)
simulations
further
these
using
a
Cycle‐Consistent
Generative
Adversarial
Network
(CycleGAN).
The
bias‐corrected
CMIP6
data
are
then
used
drive
Soil
Water
Assessment
Tool
model
calibrated
with
both
runoff
water
equivalent
(SWE)
through
dual‐objective
approach
future
projections.
results
indicate
that:
(a)
Model
uncertainty
brought
by
different
models
primary
source
original
outputs.
CycleGAN
demonstrates
substantial
effectiveness
reducing
uncertainty;
(b)
Most
subbasins
MRB
will
experience
absolute
SWE
reduction
future,
changes
varying
significantly
across
elevation
bands,
decreasing
30%–60%
baseline
levels
end
century;
(c)
has
an
increasing
trend
projected
increases
ranging
1.34%
under
SSP126
24.56%
SSP585.
As
rain‐to‐snow
ratio
rises
snowmelt
shifts
earlier,
low
flows
increase
during
dry
period,
elevating
spring
flood
risks.
These
findings
provide
crucial
insights
management
resources
snow‐dominated
watersheds.
Язык: Английский
Assessment of Maximum Snow-Water Equivalent in the Uba River Basin (Altai) Using the Temperature-Based Melt-Index Method
Climate,
Год журнала:
2025,
Номер
13(6), С. 117 - 117
Опубликована: Июнь 3, 2025
The
assessment
of
the
maximum
snow-water
equivalent
in
mountains
is
important
for
understanding
mechanism
their
formation,
as
well
hydrological
calculations.
low
density
observation
network
and
high
complexity
ground-based
snow-measuring
operations
have
led
to
widespread
use
remote
methods
obtain
such
data.
In
this
study,
water
reserve
Uba
River
basin
was
calculated
period
2020–2023,
based
on
data
from
Sentinel-2
satellite
regarding
position
seasonal
snow
line,
obtained
using
temperature-based
melt-index
method.
This
study
determined
snowmelt
coefficients
meteorological
stations
at
Zmeinogorsk,
Shemonaikha,
Ridder.
Maps
were
constructed
show
distribution
basin.
spatial
differentiation
features
cover
revealed,
depending
elevation,
slope
exposure,
distance
watersheds.
It
established
that
altitudinal
northern
southern
macro-slopes
ridges
asymmetric:
western
part
basin,
within
elevation
range
500–1200
m,
reserves
are
greater
slopes,
but
they
become
higher
slopes
above
1200
m.
eastern
always
larger
slopes.
greatest
differences
between
occur
near
Язык: Английский