Journal of Umm Al-Qura University for Applied Sciences,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 16, 2023
Abstract
Water
treatment
is
of
paramount
importance
to
ensure
the
availability
clean
and
safe
drinking
water.
In
recent
years,
clay-based
materials
have
gained
significant
attention
as
promising
adsorbents
for
water
applications.
This
review
provides
a
comprehensive
analysis
different
clay
types
their
surface
adsorption
properties
treatment.
begins
by
introducing
diverse
clays
commonly
used
in
treatment,
including
kaolin,
montmorillonite,
bentonite,
others.
Each
type
examined
terms
its
unique
mineral
composition,
properties,
structural
characteristics.
Subsequently,
mechanisms
surfaces
are
explored,
shedding
light
on
intricate
interactions
between
contaminants
active
sites
surfaces.
The
factors
influencing
process,
such
pH,
temperature,
contact
time,
initial
concentration
contaminants,
discussed
detail.
Furthermore,
highlights
capacity
efficiency
removal
various
from
These
encompass
heavy
metals,
organic
pollutants,
dyes,
emerging
contaminants.
role
modification
techniques,
cation
exchange,
functionalization,
composite
formation,
enhancing
performance
also
elucidated.
Moreover,
addresses
challenges
limitations
associated
with
adsorbents,
issues
related
regeneration,
disposal,
cost-effectiveness.
Strategies
overcoming
these
potential
future
directions
field
presented.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102007 - 102007
Published: March 19, 2024
This
study
will
comprehensively
evaluate
the
Rispana
River's
aquatic
environment
from
February
to
June
2021,
integrating
physicochemical,
biological,
and
hydrological
data.
Key
objectives
include
identifying
pollution
sources,
assessing
climate
change
impacts,
evaluating
health
effects
on
humans
life.
Analysis
of
50
water
samples
reveals
significant
pH
variations
across
five
sampling
sites
influenced
by
natural
human
factors.
Fluctuating
temperatures
(16.41
°C–20.81
°C)
impact
various
parameters,
including
dissolved
oxygen
(DO),
total
solids
(TDS),
biochemical
demand
(BOD).
Microbiological
assessment
detects
coliforms,
indicating
contamination
with
potential
risks.
The
highlights
degradation
River
due
change.
Urgent
action
is
needed
mitigate
impacts
safeguard
health.
Sustained
monitoring
strategic
management
approaches
are
crucial
for
river's
sustainability.
Collaborative
efforts
necessary
address
sources
restore
health,
emphasizing
importance
protecting
this
vital
resource
current
future
generations.
Applied Water Science,
Journal Year:
2024,
Volume and Issue:
14(8)
Published: July 9, 2024
Abstract
This
study
is
the
first
attempt
to
characterize
quality
status
of
El
Fahs
aquifer
by
combining
graphical
tools,
multivariate
statistical
techniques
and
traditional
geostatistical
methods.
Water
samples
are
collected
from
thirty-six
observation
wells
during
April
2016
physicochemical
properties
aquifer.
Subsequently,
these
partitioned
into
three
hydrochemically
distinct
water
classes
(i.e.,
C1,
C2,
C3)
using
K
-means
clustering
method.
Principal
Component
Analysis
used
reduce
dimensionality
dataset
prior
performing
computations,
resulting
in
clusters
higher
than
non-reduced
case
terms
Silhouette
coefficient.
Piper
diagram
display
chemical
composition
samples,
revealing
dominant
role
Mg–Ca–Cl
type
for
all
classes,
whereas
Sodium
Sulfate
were
found
be
second
most
important
cations
anions
respectively.
Indicator
kriging
(IK)
identify
probability
occurrence
hydrochemical
beyond
sampling
locations.
It
that
Class
1,
associated
with
fresh
groundwater
component,
probable
occur
at
central
part
plain,
mainly
due
presence
a
dense
hydrological
network,
Classes
2
(agricultural
activities)
3
(dissolution
evaporate
geological
formations)
expected
southern
northern
regions
IK
also
identified
high
levels
uncertainty,
mostly
occurring
large
portion
area
absence
available
information.
The
results
showed
integration
methods,
modeling,
an
efficient
approach
characterizing
system,
spatially
optimize
monitoring
well
networks
quantify
uncertainty
systematic
way.
Sustainable Water Resources Management,
Journal Year:
2023,
Volume and Issue:
10(1)
Published: Dec. 18, 2023
Groundwater
is
one
of
the
most
valuable
sources
water
for
drinking
use.
This
study
uses
94
groundwater
samples
collected
from
tube
wells
during
pre-
and
post-monsoon
period
2022
different
locations
in
Rohtak
district,
Haryana
(India).
Fourteen
hydrochemical
parameters
each
sample
were
determined
compared
with
standard
values
prescribed
by
World
Health
Organization
(WHO)
Bureau
Indian
Standards
(BIS)
10,500:2015
purpose.
Drinking
Water
Quality
Index
(DWQI)
calculated
using
was
found
to
vary
95.02
448.92
93.91–497.72
season,
respectively.
Spatial
distribution
maps
DWQI
indicate
that
not-permissible
quality
western
region
area
both
seasons.
Two
machine
learning
algorithms,
including
Gaussian
Process
Regression
(GPR)
Support-Vector
(SVR)
algorithms
four
kernel
functions,
used
predict
value
pre-monsoon
(training)
(testing).
Results
suggest
an
improved
performance
SVR
algorithm
Radial
basis
(SVR-RBF)
other
functions
GPR
approaches.
Sensitivity
analysis
indicates
TDS,
NO3−,
F−
are
three
important
predicting
DWQI.
The
outcomes
proposed
will
benefit
government
authorities
help
recommend
alternative
affected
areas.
Hydrology,
Journal Year:
2024,
Volume and Issue:
11(9), P. 142 - 142
Published: Sept. 6, 2024
The
present
study
examines
the
water
quality
in
Quaternary
Mio-Plio-Quaternary
aquifer
of
mining
basin
Gafsa
using
a
hydrochemical
approach
and
multivariate
statistical
methods,
to
assess
groundwater
mineralization
processes.
Results
from
analysis
collected
during
winter
(January
2020)
summer
(June
2021)
seasons
reveal
pronounced
stability
geochemical
parameters,
emphasizing
noteworthy
consistency
composition
between
two
seasons,
with
dominance
Na-Ca-Mg-SO4-Cl
facies,
addition
fact
that
all
year
round
these
concentrations
are
beyond
their
respective
WHO
limits.
Despite
intensive
extractive
transformation
phosphate
industry,
prolonged
interaction
geological
formations
is
primary
factor
controlling
high
mineralization.
This
results
dissolution
carbonates
(calcite,
dolomite),
gypsum,
halite.
PCA
represent
correlation
classes.
Class
1
comprises
major
elements
sulfate,
chloride,
sodium,
magnesium,
calcium
strongly
correlated
electrical
conductivity
(EC)
total
dissolved
solids
(TDS).
indicative
process.
2
includes
nitrate
potassium
weakly
(TDS)
As
regards
heavy
metals,
fall
consistently
below
potability
standards
established
by
across
sampling
points.
Meanwhile,
fluoride
(F-)
exhibited
values
ranging
(1.6
mg·L−1
2.9
mg·L−1)
January
2020
(1
June
2021,
surpassing
its
limit
(1.5
almost
samples.
These
findings
allow
us
conclude
waters
acquired
due
halite
formations.
deterioration
associated
extraction
processing
activities
appears
be
primarily
exploitation
deep-water
resources.
Earth,
Journal Year:
2024,
Volume and Issue:
5(4), P. 583 - 603
Published: Oct. 3, 2024
The
present
study
aims
to
assess
the
tectonic
activity
in
South
Setifian
allochthonous
complex,
providing
insights
into
evolution
of
landscape.
A
morphometric
analysis
Jebel
Youcef
Mountain
(JYM)
Eastern
Algeria
was
conducted
neotectonic
activity.
Six
quantitative
parameters
were
analyzed:
stream
length-gradient
index,
asymmetric
factor,
hypsometric
integral,
valley
floor
width-to-valley
height
ratio,
index
drainage
basin
shape,
and
mountain
front
sinuosity
across
16
river
basins
region.
geomorphic
indices
are
combined
a
single
relative
(IRTA),
categorized
four
classes:
very
high,
moderate,
low.
results
identified
two
major
lineament
sets.
NE-SW
set
is
dominant
structural
feature,
playing
key
role
driving
recent
geological
processes
deformation
area.
In
contrast,
E-W
NW-SE
sets
exert
more
localized
influence,
primarily
affecting
Jurassic
formations
at
Kef
El
Ahmar’s
central
peak
Youcef,
though
they
exhibit
relatively
lower
compared
set.
Based
on
active
classes,
significant
evident
area,
as
shown
by
distinctive
basement
fracturing.
findings
contribute
understanding
Furthermore,
establishes
systematic
framework
for
analyzing
landscape
morphology
evolution,
enhancing
our
perception
convergence
between
North
African
Alpine
zones
Atlas
range.
