Water,
Journal Year:
2024,
Volume and Issue:
16(18), P. 2594 - 2594
Published: Sept. 13, 2024
Evaluating
flood
risk
though
numerical
simulations
in
areas
where
hydrometric
and
bathymetric
data
are
scarcely
available
is
a
challenge.
This
is,
however,
of
paramount
importance,
particularly
urban
areas,
huge
losses
human
life
extensive
damage
can
occur.
paper
focuses
on
the
2–3
June
2023
event
at
Léogâne
Haiti,
Rouyonne
River
partly
flooded
city.
Water
depths
river
have
been
recorded
since
April
2022,
few
discharges
were
measured
manually,
but
these
not
sufficient
to
produce
reliable
rating
curve.
Using
uniform-flow
assumption
combined
with
Bayesian
curve
(BaRatin)
method,
it
was
possible
extrapolate
existing
higher
discharges.
From
there,
rainfall–runoff
relation
developed
for
site
using
distributed
hydrological
model,
which
allowed
discharge
be
determined,
estimated
as
twice
maximum
conveying
capacity
measurement
section.
Bathymetric
obtained
drone-based
photogrammetry,
two-dimensional
carried
out
represent
area
associated
water
depths.
By
comparing
21
high-water
marks
simulation
results,
we
Kling–Gupta
Efficiency
(KGE)
Nash–Sutcliffe
(NSE)
values
0.890
0.882,
respectively.
allows
us
conclude
that
even
when
only
scarce
official
available,
use
field
acquired
by
low-cost
methodologies
build
model
sufficiently
accurate
used
managers
decision
makers
assess
vulnerability
Haiti.
Applied Water Science,
Journal Year:
2024,
Volume and Issue:
14(6)
Published: May 9, 2024
Abstract
Groundwater
is
a
valuable
shared
resource
in
the
Moulouya
Basin,
but
it
has
been
decline
due
to
recent
years
of
low
rainfall
and
rapid
population
growth.
To
support
socio-economic
development,
there
increased
demand
for
this
precious
resource.
This
paper
presents
standard
methodology
delimiting
potential
groundwater
zones
using
geographic
information
systems
(GIS),
an
integrated
analytical
hierarchy
process
(AHP),
remote
sensing
techniques.
Seven
parameters
that
monitor
presence
mobility
groundwater,
including
drainage
density,
lithology,
slope,
precipitation,
land
use/land
cover,
distance
river,
lineament
were
incorporated
into
raster
data
model
ArcGIS
software.
AHP-based
expert
knowledge
was
used
prepare
index
assign
weights
thematic
layers.
The
study
classified
area
five
varying
potential:
very
high
(26%),
(51%),
moderate
(13%),
poor
(9%),
(1%).
accuracy
validated
by
comparing
Potential
Zones
map
with
from
96
wells
boreholes
across
basin.
validity
results
confirmed
them
specific
yield
aquifer
area,
yielding
correlation
coefficient
(
R
2
)
0.79.
analysis
revealed
89.5%
situated
zones,
demonstrating
reliability
robustness
employed
approach.
These
findings
can
aid
decision-making
planning
sustainable
use
water-stressed
region.
Natural hazards and earth system sciences,
Journal Year:
2025,
Volume and Issue:
25(3), P. 1095 - 1112
Published: March 11, 2025
Abstract.
With
the
recurrence
of
flooding
in
African
cities,
there
is
growing
interest
developing
sufficiently
informative
tools
to
help
characterize
and
predict
overflow
risks.
One
challenges
develop
methods
that
strike
a
compromise
between
accuracy
simulations,
availability
basic
data,
shortening
calculation
times
be
compatible
with
real-time
applications.
The
present
study,
carried
out
on
urban
outskirts
Dakar,
aims
propose
method
capable
modelling
flows
at
fine
resolution
(25
m2)
over
entire
area
provide
rapid
diagnosis
how
drainage
network
operating
for
rainfall
intensities
different
return
periods,
while
taking
conditions
into
account.
Three
methodological
steps
are
combined
achieve
this
objective:
(i)
determination
directions,
including
modifications
induced
by
buildings,
artificial
drainage,
storage
basins;
(ii)
application
hydrological
model
calculate
outlets
elementary
catchment;
(iii)
implementation
hydraulic
propagate
these
through
retention
basins.
chain
was
built
within
ATHYS
platform.
points
detected
if
difference
calculated
exceeds
capacity
evacuate
them.
Examples
given
carrying
simulations
using
10-
100-year
design
rainfall.
also
provides
boundary
apply
more
complex
models
determine
local
impact
overflows
limited
areas.
However,
still
needs
validated
further
research
comparing
it
accurate
data
from
observed
flood
events.
Hydrology,
Journal Year:
2025,
Volume and Issue:
12(5), P. 109 - 109
Published: May 2, 2025
This
study
presents
a
comprehensive
analysis
of
hydrological
alterations
and
environmental
flow
components
in
the
Beht
River
basin
northwest
Morocco,
using
coupled
approach
involving
Soil
Water
Assessment
Tool
(SWAT)
for
modeling,
Indicators
Hydrologic
Alteration
(IHA)
regime
assessment,
Standardized
Precipitation
Index
(SPI)
drought
characterization.
The
SWAT
model,
run
on
daily
time
step,
showed
satisfactory
performance
terms
statistical
criteria
both
calibration
validation
periods,
despite
encountering
limitations,
proved
its
ability
to
simulate
reproduce
behavior
basin.
Using
IHA,
we
investigated
changes
over
two
distinct
revealing
significant
alteration.
SPI
supported
these
findings
by
highlighting
variable
impacts
dry
wet
periods
regime,
thus
validating
observed
river
indicators.
As
preliminary
step
toward
establishing
flows
River,
this
provides
foundational
insights
into
temporal
evolution
hydrology.
These
offer
valuable
basis
better
water
resource
management
conservation
region.
Cogent Engineering,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: June 3, 2024
Studies
reviewed
in
this
paper
show
anomaly
for
temperature
pertaining
to
streamflow
and
rainfall
showing
different
trends,
especially
Ethiopia
support
the
research
findings
interpretation.
There
are
many
hydrological
models,
including
54
physically
distributed,
lumped,
conceptual
of
which
28
have
been
used
Ethiopian
river
basins.
The
models
include
most
adaptable
commonly
SWAT
model
applicable
from
small
areas
up
large
It
is
indeed
a
challenge
use
single
as
data
rely
on
consistency,
limitation-free,
exactly
fitted
output.
overall
performance
individual
physically-based,
conceptual,
machine
learning
(ML)
varied
at
watersheds.
Reasonably,
ML
performs
very
well,
0.99
R2
NSE
0.001
PBIAS.
Inopportunely,
using
has
its
limitations;
ensemble
multi-individual
coupling
or
hybridization
physical
with
learning,
combining
evolutionary
optimization
algorithms
ML,
also
comparisons
multi-single
selecting
best
one
recommended
options.
No
indispensable
can
be
termed
better
than
other
any
watershed.
Somewhat,
outperforms
but
cannot
considered
an
absolute
substitute.
size
watershed,
number
used,
ratio
between
calibrations
year
validation
do
not
clear
correlation
performance,
particularly
accounted
review.
Optimization
explore
multiple
options
choosing
right
tedious
task
before
final
decision
taken.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(20), P. 3756 - 3756
Published: Oct. 10, 2024
Accurate
and
efficient
streamflow
simulations
are
necessary
for
sustainable
water
management
conservation
in
arid
semi-arid
contexts.
Conceptual
hydrological
models
often
underperform
these
catchments
due
to
the
high
climatic
variability
data
scarcity,
leading
unstable
parameters
biased
results.
This
study
evaluates
stability
of
HBV
model
across
seven
sub-catchments
Oum
Er
Rabia
river
basin
(OERB),
focusing
on
regionalization
process
effectiveness
Earth
Observation
enhancing
predictive
capability.
Therefore,
we
developed
a
nested
cross-validation
framework
spatiotemporal
assessment,
using
optimal
from
donor-single-site
calibration
(DSSC)
inform
target-multi-site
(TMSC).
The
results
show
that
remains
spatially
transferable
one
another
with
moderate
performances
(KGE
(0.1~0.9
NSE
(0.5~0.8)).
Furthermore,
KGE
improves
over
NSE.
Some
parameter
sets
exhibit
spatial
instability,
but
inter-annual
behavior
stable,
indicating
potential
climate
change
impacts.
Model
performance
declines
time
(18–124%)
increasing
dryness.
As
conclusion,
this
presents
analyzing
highlights
need
more
research
temporal
factors
affecting
response
variability.
Water,
Journal Year:
2023,
Volume and Issue:
15(11), P. 2035 - 2035
Published: May 27, 2023
Globally,
floods
are
a
prevalent
type
of
natural
disaster.
Simulating
is
critical
component
in
the
successful
implementation
flood
management
and
mitigation
strategies
within
river
basin
or
catchment
area.
Selecting
appropriate
calibration
data
to
establish
reliable
hydrological
model
great
importance
for
simulation.
Usually,
hydrologists
select
number
events
used
depending
on
size.
Currently,
there
no
numerical
index
help
quantitatively
calibrating
models.
The
question
is,
what
necessary
sufficient
amount
(e.g.,
10
events)
that
must
be
selected?
This
study
analyses
spectral
characteristics
Sequences
before
calibration.
absolute
best
set
selected
using
an
entropy-like
function
called
information
cost
(ICF),
which
calculated
from
discrete
wavelet
transform
(DWT)
decomposition
results.
Given
validation
have
already
been
identified,
we
presume
greater
similarity
between
dataset
dataset,
higher
performance
should
after
datasets
Tunxi
southeast
China
were
derived
21
hourly
events,
generated
by
arranging
14
sequences
3
(i.e.,
Sequence
with
12
sets
(set
1
=
1,
2,
3;
2
3,
4,
…,
so
on)),
resulting
total
78
sets.
With
predetermined
7
chosen
as
Hydrologic
Engineering
Center
(HEC–HMS)
model,
was
selected.
4
S10′)
found
events.
potential
percentile
energy
entropy
also
analyzed
sets,
but
ICF
most
consistent
reveal
ranking
based
performance.
proposed
this
helpful
use
efficiently
more
obtained
new
era
big
data.
demonstrates
possibility
improving
effectiveness
utilizing
data,
particularly
catchments
limited
