Water,
Journal Year:
2024,
Volume and Issue:
16(21), P. 3114 - 3114
Published: Oct. 31, 2024
To
realize
the
estimation
of
rainfall
retention
capacity
for
small
reservoirs
considering
spatial
soil
moisture,
a
model
and
its
parameter
schemes
have
been
developed
in
this
study.
An
iterative
trial
solution
method
potential
moisture
constructed
was
proposed
efficient
computation.
The
32
pilot
located
ungauged
basins
Hunan
province
calculated
starting
from
21
August
2023.
In
addition,
continuous
calculation
carried
out
1
to
30
September
2023
using
Heping
reservoir.
results
show
that
Pearson’s
correlation
coefficients
between
available
reservoir
are
0.36
−0.64,
respectively.
Using
as
an
example,
study
effectively
characterized
dynamic
change
capacity,
which
ranged
123.6
mm
68
analysis
indicates
is
reasonably
related
supporting
risk
visualization
within
rain-affected
regions.
Furthermore,
impact
antecedent
precipitation
on
can
also
be
dynamically
quantified
real
time,
provides
reference
management
reservoirs.
Journal of Water Management Modeling,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Synthetic
design
storms
are
often
used
as
input
in
dynamic
rainfall-runoff
simulation
models.
A
number
of
methods
to
generate
synthetic
described
the
literature.
However,
selection
an
inappropriate
storm
will
unrealistic
simulations.
Therefore,
aim
this
study
was
develop
appropriate
for
small
urban
catchments
Gauteng,
South
Africa.
This
evaluated
applicability
SCS
method
adapted
Africa
(SCS-SA),
Chicago
Design
Storm
and
Rectangular
Hyetograph
method.
The
performance
each
compared
observed
rainstorm
events.
shape
intensity
were
evaluation.
As
expected,
least
representative
naturally
occurring
SCS-SA
distribution
curves
initially
performed
poorly.
Adjustment
timing
peak
start
event
resulted
a
significant
improvement
both
methods.
novel
approach
intermediate
site-specific
rainfall
anywhere
area.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(4)
Published: Feb. 14, 2025
Abstract
Even
though
evaporation
is
a
crucial
component
of
the
energy
and
water
cycles,
its
extremes
remain
largely
unexplored.
To
address
this
gap,
study
introduces
statistical
framework
defining
Extreme
Evaporation
Events
(ExEvEs).
We
investigate
their
characteristics
over
Czechia,
country
in
Central
Europe
with
increasing
examine
seasonal
correlation
radiation
and/or
precipitation—the
main
drivers
land
evaporation.
Despite
definition,
ExEvEs
are
shown
to
have
physical
basis,
also
evident
onset
termination.
observe
that
fluctuate
differently
than
average
resulting
significant
implications
for
availability
regional
cycle's
acceleration.
The
proposed
event‐based
provides
systematic
way
detect,
characterize,
analyze
extremes,
which
helps
improve
our
understanding
impacts.
Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(5)
Published: May 1, 2024
Abstract
Experimental
catchments
are
fundamental
elements
in
hydrological
sciences
as
they
provide
key
data
for
putting
forward
and
testing
hypotheses,
developing
theories,
constraining
models,
making
predictions.
Significant
progress
catchment
hydrology
stemmed
from
field
measurements
but
increasing
costs
risks
associated
with
work
the
availability
of
big
based
on
remote
sensing,
machine
learning,
a
plethora
well
observations
deriving
previous
current
sites,
raises
questions
whether
running
an
experimental
still
provides
individual
community
benefits
past.
In
this
commentary,
I
highlight
advantages
keeping
alive
propose
personal
10‐step
“recipe”
to
set
up
new
manage
sustain
it
long
term.
These
suggestions
can
be
useful
both
young
less
researchers
who
open
facing
challenge
measuring
processes
willing
offer
scientific
evidence
advancing
our
knowledge
hydrology.
Natural hazards and earth system sciences,
Journal Year:
2024,
Volume and Issue:
24(4), P. 1163 - 1183
Published: April 3, 2024
Abstract.
Floods
are
the
primary
natural
hazard
in
French
Mediterranean
area,
causing
damages
and
fatalities
every
year.
These
floods
triggered
by
heavy
precipitation
events
(HPEs)
characterized
limited
temporal
spatial
extents.
A
new
generation
of
regional
climate
models
at
kilometer
scale
have
been
developed,
allowing
an
explicit
representation
deep
convection
improved
simulations
local-scale
phenomena
such
as
HPEs.
Convection-permitting
(CPMs)
scarcely
used
hydrological
impact
studies,
future
projections
remain
uncertain
with
(RCMs).
In
this
paper,
we
use
CNRM-AROME
CPM
(2.5
km)
its
driving
CNRM-ALADIN
RCM
(12
hourly
timescale
to
simulate
over
Gardon
d'Anduze
catchment
located
region.
Climate
bias-corrected
CDF-t
method.
Two
models,
a
lumped
conceptual
model
(GR5H)
process-based
distributed
(CREST),
forced
historical
from
RCM,
used.
The
confirms
ability
better
reproduce
extreme
rainfall
compared
RCM.
This
added
value
is
propagated
on
flood
simulation
reproduction
peaks.
Future
consistent
between
but
differ
two
models.
Using
magnitude
all
projected
increase.
With
CPM,
threshold
effect
found:
largest
expected
intensify,
while
less
severe
decrease.
addition,
different
event
characteristics
indicate
that
become
flashier
warmer
climate,
shorter
lag
time
runoff
peak
smaller
contribution
base
flow,
regardless
model.
study
first
step
for
studies
driven
CPMs
Mediterranean.
The
impact
of
antecedent
soil
moisture
content
on
erosion
is
a
complicated
phenomenon,
which
still
under
argument
with
contradictions
in
research
results.
Hence,
the
objective
this
study
to
investigate
loss
clay
by
conducting
two-year
field
experiments
natural
rainfall
runoff
plots
length
10
meters,
width
3
and
uniform
slope
9%.
Volumetric
sensors
were
used
log
changes,
readings
along
records
quantify
conditions
for
each
event.
Results
show
duration
effective
event
outranks
volumetric
content.
Field
also
suggests
that
accumulative
rain
falling
within
48
hours
(Pp48)
prior
an
strongly
correlated
per
Rainfall-Runoff
Erosivity
Index
(Soil
Loss
/
EI30),
particularly
when
either
between
~
7
or
10~
30
hours.
Pp48
can
be
considered
as
alternative
replace
RUSLE
2’s
cover
management
factor.
Water,
Journal Year:
2024,
Volume and Issue:
16(15), P. 2076 - 2076
Published: July 23, 2024
The
impact
of
antecedent
soil
moisture
content
on
erosion
has
been
a
contradictory
issue
in
research,
as
well
process-based
loss
estimation
models.
objective
this
study
was
to
investigate
the
clay
through
two-year
runoff
plot
experiments
under
natural
rainfall.
Volumetric
sensors
were
used
monitor
changes,
and
readings
along
with
rainfall
records
quantify
conditions.
results
show
that
interrill
is
conditional,
only
exists
events
low
Rainfall–Runoff
Erosivity
Index.
coefficient
determination
between
per
Index
(Soil
Loss/EI30)
varies
from
0.222
0.758,
depending
duration
Erosivity.
also
suggest
accumulative
within
48
h
(Pp48)
prior
an
effective
event
strongly
correlated
Soil
Loss/EI30,
particularly
when
either
3~7
or
10~30
h.
Hence,
Pp48
can
be
considered
replacement
for
simulation
Advances in Water Resources,
Journal Year:
2024,
Volume and Issue:
192, P. 104781 - 104781
Published: Aug. 3, 2024
Increasing
flood
risk
due
to
urbanization
and
climate
change
poses
a
significant
challenge
societies
at
global
scale.
Hydrologic
information
that
is
required
for
understanding
processes
developing
effective
warning
procedures
currently
lacking
in
most
parts
of
the
world.
Procedures
can
combine
dataset
from
satellite
reanalysis
with
fast
low
computational
cost
prediction
systems,
are
attractive
solutions
addressing
predictions
ungauged
areas.
This
work
develops
tests
framework
relies
on
two
fundamental
components.
First,
meteorological
data
datasets
(IMERG
ERA5-Land)
provide
key
input
variables
second,
ML
models
trained
data-rich
contiguous
US,
applied
climatically
similar
regions
other
Catchments
Australia,
Brazil,
Chile,
Switzerland,
Great
Britain
were
used
as
pseudo-ungauged
testing.
Results
indicate
acceptable
performance
both
IMERG
ERA5-Land
forced
relative
difference
peak
within
30
%
overall
locally
models.
Specific
which
have
revealed
good
include
Mediterranean
climates
like
US
West
Coast,
subtropical
areas
Southern
Atlantic
Gulf,
mild
temperate
Mid-Atlantic
Basin.
highlights
potential
combining
precipitation
pre-trained
areas,
climate.