Hydrology and earth system sciences,
Journal Year:
2025,
Volume and Issue:
29(3), P. 655 - 682
Published: Feb. 4, 2025
Abstract.
In
the
face
of
climate
change
and
increasing
anthropogenic
pressures,
a
reliable
water
balance
is
crucial
for
understanding
drivers
level
fluctuations
in
large
lakes.
However,
poorly
gauged
hydrosystems
such
as
Lake
Titicaca,
most
components
are
not
measured
directly.
Previous
estimates
this
lake
have
relied
on
scaling
factors
to
close
balance,
which
introduces
additional
uncertainty.
This
study
presents
an
integrated
modeling
framework
based
conceptual
models
quantify
natural
hydrological
processes
net
irrigation
consumption.
It
was
implemented
Water
Evaluation
Planning
System
(WEAP)
platform
at
daily
time
step
period
1982–2016,
considering
following
terms
balance:
upstream
inflows,
direct
precipitation
evaporation
over
lake,
downstream
outflows.
To
estimate
we
evaluated
impact
snow
ice
withdrawals
predicted
streamflow
levels.
We
also
role
heat
storage
from
lake.
The
results
showed
that
proposed
makes
it
possible
simulate
levels
ranging
3808
3812
m
a.s.l.
with
good
accuracy
(RMSE
=
0.32
d−1)
wide
range
long-term
hydroclimatic
conditions.
estimated
Titicaca
shows
inflows
account
56
%
(958
mm
yr−1)
44
(744
total
while
93
(1616
outflows
due
remaining
7
(121
closure
has
error
−15
yr−1
without
applying
factors.
Snow
processes,
together
withdrawals,
had
minimal
variations
level.
Thus,
primarily
driven
by
high
rates.
These
will
be
useful
supporting
decision-making
resource
management.
demonstrate
simple
representation
enables
accurate
simulation
could
replicated
other
lakes
because
relatively
easy
implement,
requires
few
data,
computationally
inexpensive.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(14), P. 3616 - 3616
Published: July 20, 2023
Remote
sensing
multi-decadal
time-series
provide
important
information
for
analysing
long-term
environmental
change.
The
Advanced
Very
High
Resolution
Radiometer
(AVHRR)
has
been
providing
data
since
the
early
1980s.
Normalised
Difference
Vegetation
Index
(NDVI)
derived
thereof
can
be
used
monitoring
vegetation
conditions.
This
study
presents
novel
TIMELINE
NDVI
product,
which
provides
a
consistent
set
of
daily,
10-day,
and
monthly
composites
at
1
km
spatial
resolution
based
on
AVHRR
Europe
North
Africa,
currently
spanning
period
from
1981
to
2018.
After
investigating
temporal
availability
within
composite
seasonal
trends
have
1989–2018
assess
change
in
northern
Africa.
trend
analysis
reveals
distinct
patterns
with
varying
spring,
summer
autumn
different
regions
Europe.
Integrating
entire
growing
season,
result
shows
positive
large
areas
that
confirm
reinforce
previous
research.
analyses
show
product
allows
dynamics
monitored
pan-European
scale
detection
specific
regional
patterns.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(1)
Published: Jan. 1, 2024
Abstract
Reservoirs
play
a
critical
role
in
the
global
water
cycle
by
regulating
flow
of
from
environment
into
human
systems.
Accurate
estimation
area‐storage‐depth
relationships
for
reservoirs
is
essential
effective
hydrological
modeling
and
reservoir
storage
monitoring.
Bathymetry
reconstruction
presents
promising
approach
to
derive
this
information.
Current
bathymetry
methods
either
rely
on
simple
approximations
or
are
constrained
dependence
altimetry
data
field
survey
data.
To
overcome
these
limitations,
study
pioneering
involving
training
deep
learning
model
reconstruct
establish
precise
relationships.
We
trained
with
approximately
160,000
simulated
derived
Shuttle
Radar
Topography
Mission
(SRTM)
fine‐tuned
based
hundreds
By
employing
SRTM,
7,250
Global
Reservoir
Dam
Database
were
subsequently
reconstructed.
The
method
validated
against
comprehensive
reference
sets,
including
54
test
data,
118
satellite
altimetry‐based
reservoirs,
68
LiDAR‐based
reservoirs.
reconstructed
achieves
mean
absolute
error
7.87
m
+2.05
validation
references
significantly
outperforms
previous
geometric
approximation
techniques,
median
normalized
root
square
(NRMSE)
values
20.6%
area‐storage
22.1%
area‐level
curves.
Additionally,
variations
estimated
precision,
outperforming
methods.
proposed
learning‐based
robust
solution
accurate
establishes
more
reliable
worldwide.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(3)
Published: March 1, 2024
Abstract
Despite
having
approximately
100,000
lakes,
Sweden
has
limited
continuous
gauged
lake
water
level
data.
Although
satellite
radar
altimetry
(RA)
emerged
as
a
popular
alternative
to
measure
levels
in
inland
bodies,
it
not
yet
been
used
understand
the
large‐scale
changes
Swedish
lakes.
Here,
we
quantify
144
lakes
using
RA
data
and
situ
measurements
examine
effects
of
flow
regulation
hydroclimatic
variability.
We
use
from
several
missions,
including
ERS‐2,
ENVISAT,
JASON‐1,2,3,
SARAL,
Sentinel‐3A/B.
found
that
during
1995–2022,
around
52%
exhibited
an
increasing
trend
43%
decreasing
trend.
Most
exhibiting
were
north
Sweden,
while
most
showing
south.
Regarding
potential
regulation,
unregulated
had
smaller
trends
dynamic
storage
than
regulated
ones.
While
seasonal
patterns
are
similar
south,
they
differ
substantially.
This
study
highlights
need
continuously
monitor
for
adaptation
strategies
face
climate
change
downstream
regulatory
schemes.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 22, 2024
In
contrast
to
most
integrated
assessment
models,
with
limited
transparency
on
damage
functions
and
recursive
temporal
dynamics,
we
use
a
unique
large-dimensional
computational
global
climate
trade
model,
GTAP-DynW,
directly
project
the
possible
intertemporal
impacts
of
water
heat
stress
food
supply
security
2050.
The
GTAP-DynW
model
uses
GTAP
production
data
for
141
countries
regions,
varying
baselines,
results
are
aggregated
into
30
countries/regions
commodity
sectors.
Blue
projections
drawn
from
WRI
source
material
GTAP-Water
database
incorporate
dynamic
changes
in
resources
their
availability
agricultural
international
trade,
thus
providing
more
general
measure
severe
insecurity
damages
warming.
Findings
presented
three
representative
concentration
pathways:
RCP4.5-SSP2,
RCP8.5-SPP2,
RCP8.5-SSP3
(population
growth
only
SSPs)
project:
(a)
substantial
declines,
as
measured
by
GCal,
some
6%,
10%,
14%
2050
(b)
number
additional
people
2050,
correspondingly,
increases
556
million,
935
1.36
billion
compared
2020
baseline.
Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(4)
Published: April 1, 2024
Abstract
The
world's
1.4
million
lakes
(≥10
ha)
provide
many
ecosystem
services
that
are
essential
for
human
well‐being;
however,
only
if
their
health
status
is
good.
Here,
we
reviewed
common
lake
issues
and
classified
them
using
a
simple
health‐based
approach
to
outline
living
systems
in
need
of
oxygen,
clean
water
balanced
energy
nutrient
supply.
main
reason
adopting
some
the
terminology
classification
increase
awareness
understanding
global
issues.
We
show
exposed
various
anthropogenic
stressors
which
can
result
issues,
ranging
from
thermal,
circulatory,
respiratory,
nutritional
metabolic
infections
poisoning.
Of
particular
concern
well‐being
widespread
drying,
severe
circulatory
issue
with
cascading
effects
on
health.
estimated
∼115,000
evaporate
twice
as
much
they
gain
direct
precipitation,
making
vulnerable
potential
drying
inflowing
waters
follow
trend,
putting
more
than
153
people
at
risk
who
live
close
vicinity
those
lakes.
Where
remain
untreated,
will
decline
or
even
vanish,
posing
threat
millions
people.
recommend
coordinated
multisectoral
multidisciplinary
prevention
treatment
strategies,
include
follow‐up
progress
an
assessment
resilience
intensifying
threats.
Priority
should
be
given
implementing
sewage
treatment,
mitigating
climate
change,
counteracting
introductions
non‐native
species
decreasing
uncontrolled
releases
chemicals
into
hydro‐,
bio‐,
atmosphere.
Nature Ecology & Evolution,
Journal Year:
2024,
Volume and Issue:
8(8), P. 1448 - 1458
Published: July 4, 2024
Drylands
are
often
overlooked
in
broad
conservation
frameworks
and
development
priorities
face
increasing
threats
from
human
activities.
Here
we
evaluated
the
formal
degree
of
protection
global
drylands,
their
land
vertebrate
biodiversity
current
threats,
projected
human-induced
land-use
changes
to
drylands
under
different
future
climate
change
socioeconomic
scenarios.
Overall,
have
lower
protected-area
coverage
(12%)
compared
non-drylands
(21%).
Consequently,
most
dryland
vertebrates
including
many
endemic
narrow-ranging
species
inadequately
protected
(0-2%
range
coverage).
Dryland
threatened
by
varied
anthropogenic
factors-including
agricultural
infrastructure
(that
is,
artificial
structures,
surfaces,
roads
industrial
sites).
Alarmingly,
2100
experience
some
conversion
95-100%
natural
habitat
due
urban,
alternative
energy
expansion.
This
loss
undisturbed
regions
is
expected
across
pathways,
even
optimistic
scenarios
characterized
progressive
policies
moderate
trends.