Towards sustainable industrial development: modelling the quality, scaling potential and corrosivity of groundwater using GIS, spatial statistics, soft computing and index-based methods
Environment Development and Sustainability,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 21, 2024
Language: Английский
A comprehensive review of production and characterization of biochar for removal of organic pollutants from water and wastewater
Water-Energy Nexus,
Journal Year:
2024,
Volume and Issue:
7, P. 243 - 265
Published: Nov. 13, 2024
Language: Английский
Batch Adsorption Processes of Chloride and Sulphate Anions from Aqueous Solutions Using Natural Stone Powder
Ibtisam Kamal,
No information about this author
Firas H. Albadran,
No information about this author
Badiea A. Mohammed
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et al.
E3S Web of Conferences,
Journal Year:
2025,
Volume and Issue:
621, P. 02004 - 02004
Published: Jan. 1, 2025
Pumice
is
a
natural
rock
that
has
many
applications.
It
been
used
as
an
abrasive
material,
mold
release
agent
in
different
industries
like
textiles
and
plastics,
filler
painting
coating
industries,
aggregate
stone
the
construction
industry.
The
current
work
investigates
possibility
of
using
pumice
adsorbent
water
treatment
for
removing
chlorides
sulphates
ions
laboratory
batch
adsorption
experiments.
capacity
detected
from
decrease
electrical
conductivity
aqueous
salt
solutions
brought
contact
with
surface
pumice.
method
fast
simple
requires
only
use
meter.
effect
content,
initial
salts
concentration,
pH,
temperature,
time
on
filtrates
investigated.
results
showed
decreases
increasing
increases
temperature
content.
This
study
gives
valuable
information
about
process
chloride
sulphate
removal
their
could
be
considered
technically
workable
economically
viable
desalination.
Language: Английский
Evaluating sustainable agricultural waste biomass for methylene blue adsorption in wastewater treatment: A state-of-the-art review
Bioresource Technology Reports,
Journal Year:
2024,
Volume and Issue:
unknown, P. 101983 - 101983
Published: Oct. 1, 2024
Language: Английский
Spatial Distribution and Trend Analysis of Groundwater Contaminants Using the ArcGIS Geostatistical Analysis (Kriging) Algorithm; The case of Gurage Zone, Ethiopia
Abel Amsalu Ayalew,
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Moges Tariku Tegenu
No information about this author
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 24, 2024
Abstract
The
study
explores
the
spatial
distribution
and
trends
of
groundwater
pollutants
focusing
on
calcium
four
other
key
water
quality
parameters
in
Gurage
Zone,
Ethiopia,
2024.
It
uses
ArcGIS
geostatistical
analysis
tool
with
Kriging
algorithm
to
map
analyze
variability
contaminants.
primary
aim
is
identify
areas
high
levels
understand
patterns.
identifies
contamination
hotspots
associated
natural
processes
human
activities.
Twenty-seven
samples
were
collected
from
various
sites,
like
calcium,
total
dissolved
solids,
hardness,
conductivity,
alkalinity
measured.
findings
show
that
contaminants
varies
significantly
across
different
areas,
some
exceeding
safe
drinking
limits.
reveals
southern
region
has
highest
concentration,
shallow
local
boreholes.
deeper
wells
have
higher
conductivity.
trend
shows
increased
pollutant
along
X
Y
axes.
model
effectively
predicted
unsampled
offering
a
reliable
technique
aimed
at
monitoring.
provides
important
insights
for
authorities
implement
interventions
protection
Zone.
Language: Английский
Microbiological methods for removing heavy metals from saline water-based drilling mud: challenges and practical strategies
International Journal of Environmental Science and Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 11, 2024
Language: Английский
Tree-Based Machine Learning and Nelder–Mead Optimization for Optimized Cr(VI) Removal with Indian Gooseberry Seed Powder
K.R. Rao,
No information about this author
Doma Murali Krishna,
No information about this author
Upendra Kumar Potnuru
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et al.
Water,
Journal Year:
2024,
Volume and Issue:
16(15), P. 2175 - 2175
Published: July 31, 2024
Wastewater
containing
a
mixture
of
heavy
metals,
byproduct
chemical,
petrochemical,
and
refinery
activities
driven
by
urbanization
industrial
expansion,
poses
significant
environmental
threats.
Analyzing
such
wastewater
through
adsorbate-adsorbent
experiments
yields
extensive
datasets.
However,
traditional
methodologies
like
the
Box–Behnken
design
(BBD)
within
response
surface
methodology
(RSM)
struggle
with
managing
large
datasets
capturing
complex,
nonlinear
relationships
inherent
in
experimental
data.
To
address
these
challenges,
ML
techniques
have
emerged
as
promising
tools
for
accurately
predicting
removal
percentage
metals
from
wastewater.
In
this
study,
we
utilized
tree-based
regression
models—specifically
decision
tree
(DTR),
random
forest
(RFR),
extra
(ETR)—to
forecast
efficiency
gooseberry
seed
powder
removing
chromium
(Cr(VI))
Additionally,
employed
an
ML-based
Nelder–Mead
optimization
approach
to
identify
optimal
values
key
features
(initial
Cr(VI)
concentration,
pH,
Indian
dosage)
which
maximized
percentage.
Our
results
reveal
that
ETR
model
achieved
impressive
R2
score
0.99,
demonstrating
low
error
rate
Furthermore,
used
DTR-Nelder–Mead,
RFR-Nelder–Mead,
ETR-Nelder–Mead
approaches
on
synthesized
dataset
2000
instances
while
varying
initial
dosage.
The
analysis
determined
DTR-Nelder–Mead
RFR-Nelder–Mead
yielded
highest
percentages
78.21%
78.107%
at
concentration
95.55
mg/L,
respectively,
pH
level
four,
adsorbent
dosage
8
g/L
powder.
obtained
maximum
85.11%
99.25
4.97,
9.62
These
reported
increase
ranging
4.66%
11.56%
more
than
experimentation.
findings
underscore
efficacy
models
elucidating
processes
wastewater,
offering
valuable
insights
into
effective
treatment
strategies.
Language: Английский
Functional attributes and bio-prospects of fruit peel waste
Himanshu Himanshu,
No information about this author
Nishant Kumar,
No information about this author
Ishu Khangwal
No information about this author
et al.
Foods and raw materials,
Journal Year:
2024,
Volume and Issue:
unknown, P. 84 - 103
Published: Dec. 25, 2024
The
fruit
processing
industry
generates
a
considerable
amount
of
waste,
which
leads
to
significant
nutritional
and
economic
losses.
most
common
waste
materials
include
pomace,
peels,
rind,
seeds.
They
contain
valuable
natural
bioactive
compounds,
such
as
carotenoids,
polysaccharides,
dietary
fibers,
enzymes,
polyphenols,
oils,
vitamins.
These
compounds
can
be
recovered
by
using
suitable
conventional
or
non-conventional
methods.
Conventional
methods
Soxhlet
extraction,
hydro-distillation,
maceration.
Non-conventional
enzyme-assisted,
ultrasound-assisted,
microwave-assisted,
solid-liquid,
solvent
extractions,
well
pulsed
electric
field.
Fruit
peels
used
synthesize
metallic
nanoparticles,
edible
packaging,
single-cell
proteins,
biosorbents,
biochar,
carbon
dots,
biofertilizers.
Furthermore,
their
have
pharmacological
potential.
In
particular,
they
utilized
antioxidant,
anti-inflammatory,
antimicrobial,
antiviral,
anti-neoplastic
agents.
are
also
cost-effective
solution
that
mitigate
various
environmental
problems
aid
in
reducing
loss.
this
article,
we
reviewed
different
extraction
techniques
employed
retrieve
from
peel
along
with
industrial,
biotechnological,
applications.
Language: Английский