Water,
Journal Year:
2024,
Volume and Issue:
16(21), P. 3108 - 3108
Published: Oct. 30, 2024
Dams
are
vital
for
irrigation,
power
generation,
and
domestic
water
needs,
but
siltation
poses
a
significant
challenge,
especially
in
areas
prone
to
erosion,
potentially
shortening
dam’s
lifespan.
The
Ahmed
El
Hansali
Dam
Morocco
faces
heightened
due
its
upstream
region
being
susceptible
erosion-prone
rocks
high
runoff.
This
study
estimates
the
at
dam
from
construction
up
2014
using
bathymetric
data
Brown
model,
which
is
widely-used
empirical
model
that
calculates
reservoir
trap
efficiency.
Additionally,
evaluates
impact
of
Land
Use
Cover
(LULC)
changes
projected
future
rainfall
until
around
2076
based
on
rates.
results
indicate
LULC,
particularly
temporal
variations
precipitation,
have
dam.
Notably,
strongly
correlated
with
rate,
an
R2
0.92.
efficiency
sediment
trapping
(TE)
97.64%,
meaning
97.64%
catchment
area
trapped
or
deposited
bottom
estimated
annual
specific
yield
about
32,345.79
tons/km2/yr,
accumulation
rate
approximately
4.75
Mm3/yr.
half-life
be
2076,
precipitation
projections
may
extend
this
timeframe
strong
correlation
between
precipitation.
soil
erosion
driven
by
land
management
practices
plays
crucial
role
dynamics.
Hence,
offers
comprehensive
assessment
dynamics
dam,
providing
essential
information
long-term
effects
use
changes,
climate
projections.
These
findings
assist
decision
makers
managing
sedimentation
more
effectively,
ensuring
durability
extending
life.
Water,
Journal Year:
2025,
Volume and Issue:
17(9), P. 1351 - 1351
Published: April 30, 2025
This
study
integrates
deep
learning
and
geospatial
analysis
to
enhance
soil
loss
estimation
in
the
Moulouya
Watershed,
a
region
prone
erosion
due
diverse
topography
climatic
conditions.
Traditional
models
like
Universal
Soil
Loss
Equation
(USLE)
its
revised
version
(RUSLE)
often
fall
short
capturing
complex
environmental
interactions,
leading
inaccurate
predictions.
research
introduces
novel
approach
using
Convolutional
Neural
Networks
(CNNs)
combined
with
Geographic
Information
Systems
(GISs)
improve
precision
spatial
resolution
of
risk
assessments.
High-resolution
satellite
imagery,
maps,
data
were
processed
extract
critical
factors,
such
as
slope,
land
cover,
rainfall
erosivity,
which
then
fed
into
CNN
model.
The
findings
revealed
that
model
outperformed
traditional
methods,
achieving
low
Root
Mean
Square
Error
(RMSE)
2.3
an
R-squared
value
0.92,
significantly
surpassing
USLE
RUSLE
models.
resulting
high-resolution
maps
identified
high-risk
areas,
particularly
central
eastern
regions
watershed,
rates
exceeding
40
tons/ha/year.
These
demonstrate
superior
predictive
capabilities
learning,
offering
valuable
insights
for
targeted
conservation
strategies
highlighting
potential
advanced
computational
techniques
revolutionize
modeling.
Tropical Journal of Natural Product Research,
Journal Year:
2024,
Volume and Issue:
8(4)
Published: May 1, 2024
Consecutive
years
of
droughts
and
increasing
human
pressure
heighten
the
vulnerability
Oum
Er
Rbia
water
to
pollution.
This
study
presents
a
comprehensive
evaluation
quality
in
River,
employing
multifaceted
approach
encompassing
physicochemical
parameters,
undesirable
substances,
toxic
compounds,
bacteriological
traits.
In
this
study,
26
3
biological
parameters
(SF,
CF,
CT)
were
analyzed
along
River
at
10
different
stations
during
seasons
2020
2022.
The
analysis
assessed
samples
against
Moroccan
drinking
standards
recommended
values
set
by
World
Health
Organization
(WHO)
evaluate
their
conformity.
A
results
revealed
notable
deviations
from
stipulated
certain
stations,
indicating
potential
concerns
regarding
suitability
water.
findings
significant
variation
concentrations
all
traits
among
years.
Analysis
second-year
data
showed
highest
concentration
Thus,
analyses
induced
contamination
experimental
total
coliforms,
faecal
streptococci.
Furthermore,
multivariate
highlighted
three
distinctive
groups
studied
terms
polluting
substances
found
that
most
contaminated
station
was
S9,
followed
S7.
These
inform
environmental
monitoring
programs
resources
management
basin.
assessment
guides
interventions
preserve
river's
ecological
integrity
safeguard
health
dependent
communities.
Applied Water Science,
Journal Year:
2024,
Volume and Issue:
14(4)
Published: March 29, 2024
Abstract
Groundwater
is
an
essential
resource
that
meets
all
of
humanity’s
daily
water
demands,
supports
industrial
development,
influences
agricultural
output,
and
maintains
ecological
equilibrium.
The
objective
behind
this
research
to
find
groundwater
prospective
zones
their
sustainable
development
in
Henan
Province,
located
the
North
China
Plain,
with
help
analytical
hierarchical
process
(AHP)
frequency
ratio
(FR)
models.
Consequently,
a
inventory
map
was
created,
utilizing
70%
data
for
training
30%
testing
purposes.
resulting
maps
were
overlaid
levels
locations
wells
within
study
area.
performance
validation
models
assessed
using
Area
Under
Curve
(AUC)
curve,
which
indicated
accuracy
AHP
model
69%
FR
model.
indicates
areas
suitable
gradients
rainfall
patterns
generally
have
high
zonation
(GWPZ),
i.e.,
Zhumadian
Nanyang
(ZN).
However,
demonstrated
higher
predictive
capability
comparison
broader
context.
Whereas
GIS-RS
methodology
aligns
existing
field
validate
it
range
good
excellent.
In
conclusion,
provides
valuable
insights
effective
exploration
supply
planning
Province.
