Environmental Science & Technology,
Journal Year:
2023,
Volume and Issue:
58(1), P. 3 - 16
Published: Dec. 20, 2023
Water
reuse
is
rapidly
becoming
an
integral
feature
of
resilient
water
systems,
where
municipal
wastewater
undergoes
advanced
treatment,
typically
involving
a
sequence
ultrafiltration
(UF),
reverse
osmosis
(RO),
and
oxidation
process
(AOP).
When
RO
used,
concentrated
waste
stream
produced
that
elevated
in
not
only
total
dissolved
solids
but
also
metals,
nutrients,
micropollutants
have
passed
through
conventional
treatment.
Management
this
concentrate─dubbed
concentrate
(MWRC)─will
be
critical
to
address,
especially
as
practices
become
more
widespread.
Building
on
existing
brine
management
practices,
review
explores
MWRC
options
by
identifying
infrastructural
needs
opportunities
for
multi-beneficial
disposal.
To
safeguard
environmental
systems
from
the
potential
hazards
MWRC,
disposal,
monitoring,
regulatory
techniques
are
discussed
promote
safety
affordability
implementing
management.
Furthermore,
resource
recovery
valorization
differentiated,
while
economic
revamp
cost-benefit
analysis
examined.
The
goal
create
common
foundation
researchers,
practitioners,
regulators
providing
interdisciplinary
set
tools
frameworks
address
impending
challenges
emerging
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(18), P. 13557 - 13557
Published: Sept. 11, 2023
In
recent
years,
artificial
intelligence
(AI),
as
a
rapidly
developing
and
powerful
tool
to
solve
practical
problems,
has
attracted
much
attention
been
widely
used
in
various
areas.
Owing
their
strong
learning
accurate
prediction
abilities,
all
sorts
of
AI
models
have
also
applied
wastewater
treatment
(WWT)
optimize
the
process,
predict
efficiency
evaluate
performance,
so
explore
more
cost-effective
solutions
WWT.
this
review,
we
summarize
analyze
applications
Specifically,
briefly
introduce
commonly
purposes,
advantages
disadvantages,
comprehensively
review
inputs,
outputs,
objectives
major
findings
particular
water
quality
monitoring,
laboratory-scale
research
process
design.
Although
gained
great
success
WWT-related
fields,
there
are
some
challenges
limitations
that
hinder
widespread
real
WWT,
such
low
interpretability,
poor
model
reproducibility
big
data
demand,
well
lack
physical
significance,
mechanism
explanation,
academic
transparency
fair
comparison.
To
overcome
these
hurdles
successfully
apply
make
recommendations
discuss
future
directions
applications.
Bioengineering,
Journal Year:
2023,
Volume and Issue:
10(8), P. 955 - 955
Published: Aug. 11, 2023
Chlorella
sp.
and
Spirulina
(Arthrospira)
account
for
over
90%
of
the
global
microalgal
biomass
production
represent
one
most
promising
aquiculture
bioeconomy
systems.
These
microorganisms
have
been
widely
recognized
their
nutritional
therapeutic
properties;
therefore,
a
significant
growth
market
is
expected,
especially
in
nutraceutical,
food,
beverage
segments.
However,
recent
advancements
biotechnology
environmental
science
led
to
emergence
new
applications
these
microorganisms.
This
paper
aims
explore
innovative
applications,
while
shedding
light
on
roles
sustainable
development,
health,
industry.
From
this
state-of-the
art
review,
it
was
possible
give
an
in-depth
outlook
sustainability
For
instance,
there
variety
studies
reported
use
two
wastewater
treatment
biofuel
production,
contributing
climate
change
mitigation
efforts.
Moreover,
health
sector,
richness
microalgae
photosynthetic
pigments
bioactive
compounds,
along
with
oxygen-releasing
capacity,
are
being
harnessed
development
drugs,
wound-healing
dressings,
photosensitizers
photodynamic
therapy,
tissue
engineering,
anticancer
treatments.
Furthermore,
industrial
used
biopolymers,
fuel
cells,
photovoltaic
technologies.
might
bring
different
outlets
valorization,
enhancing
potential,
since
sector
presents
issues
such
as
high
costs.
Thus,
further
research
highly
needed
fully
benefits
potential
various
sectors.
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(3), P. 1692 - 1712
Published: Jan. 19, 2024
Modern
machine
learning
(ML)
techniques
are
making
inroads
in
every
aspect
of
renewable
energy
for
optimization
and
model
prediction.
The
effective
utilization
ML
the
development
scaling
up
systems
needs
a
high
degree
accountability.
However,
most
approaches
currently
use
termed
black
box
since
their
work
is
difficult
to
comprehend.
Explainable
artificial
intelligence
(XAI)
an
attractive
option
solve
issue
poor
interoperability
black-box
methods.
This
review
investigates
relationship
between
(RE)
XAI.
It
emphasizes
potential
advantages
XAI
improving
performance
efficacy
RE
systems.
realized
that
although
integration
with
has
enormous
alter
how
produced
consumed,
possible
hazards
barriers
remain
be
overcome,
particularly
concerning
transparency,
accountability,
fairness.
Thus,
extensive
research
required
address
societal
ethical
implications
using
create
standardized
data
sets
evaluation
metrics.
In
summary,
this
paper
shows
potential,
perspectives,
opportunities,
challenges
application
system
management
operation
aiming
target
efficient
energy-use
goals
more
sustainable
trustworthy
future.
Water,
Journal Year:
2024,
Volume and Issue:
16(2), P. 314 - 314
Published: Jan. 17, 2024
Integration
of
the
Internet
Things
(IoT)
into
fields
wastewater
treatment
and
water
quality
prediction
has
potential
to
revolutionize
traditional
approaches
address
urgent
challenges,
considering
global
demand
for
clean
sustainable
systems.
This
comprehensive
article
explores
transformative
applications
smart
IoT
technologies,
including
artificial
intelligence
(AI)
machine
learning
(ML)
models,
in
these
areas.
A
successful
example
is
implementation
an
IoT-based
automated
monitoring
system
that
utilizes
cloud
computing
ML
methods
effectively
above-mentioned
issues.
The
been
employed
optimize,
simulate,
automate
various
aspects,
such
as
managing
natural
systems,
water-treatment
processes,
wastewater-treatment
applications,
water-related
agricultural
practices
like
hydroponics
aquaponics.
review
presents
a
collection
significant
water-based
which
have
combined
with
IoT,
neural
networks,
or
undergone
critical
peer-reviewed
assessment.
These
encompass
chlorination,
adsorption,
membrane
filtration,
indices,
modeling
parameters,
river
levels,
automating/monitoring
effluent
aquaculture
Additionally,
this
provides
overview
discusses
future
along
examples
how
their
algorithms
utilized
evaluate
treated
diverse
aquatic
environments.
Journal of Molecular Liquids,
Journal Year:
2024,
Volume and Issue:
410, P. 125592 - 125592
Published: July 20, 2024
Heavy
metals
pose
a
significant
threat
to
ecosystems
and
human
health
because
of
their
toxic
properties
ability
bioaccumulate
in
living
organisms.
Traditional
removal
methods
often
fall
short
terms
cost,
energy
efficiency,
minimizing
secondary
pollutant
generation,
especially
complex
environmental
settings.
In
contrast,
molecular
simulation
offer
promising
solution
by
providing
in-depth
insights
into
atomic
interactions
between
heavy
potential
adsorbents.
This
review
highlights
the
for
removing
types
pollutants
science,
specifically
metals.
These
powerful
tool
predicting
designing
materials
processes
remediation.
We
focus
on
specific
like
lead,
Cadmium,
mercury,
utilizing
cutting-edge
techniques
such
as
Molecular
Dynamics
(MD),
Monte
Carlo
(MC)
simulations,
Quantum
Chemical
Calculations
(QCC),
Artificial
Intelligence
(AI).
By
leveraging
these
methods,
we
aim
develop
highly
efficient
selective
unravelling
underlying
mechanisms,
pave
way
developing
more
technologies.
comprehensive
addresses
critical
gap
scientific
literature,
valuable
researchers
protection
health.
modelling
hold
promise
revolutionizing
prediction
metals,
ultimately
contributing
sustainable
solutions
cleaner
healthier
future.
Journal of Water Process Engineering,
Journal Year:
2024,
Volume and Issue:
63, P. 105486 - 105486
Published: May 30, 2024
Wastewater
treatment
plants
(WWTPs)
play
a
crucial
role
in
ensuring
safe
environment
by
effectively
removing
contaminants
and
minimizing
pollutant
discharges.
Compliance
with
stringent
regulations
the
search
for
sustainable
processes
pose
new
challenges
provide
opportunities
innovative
solutions.
These
solutions
include
using
wastewater
as
resource
to
recover
value-added
by-products,
such
clean
water,
renewable
energy,
nutrients,
while
optimizing
energy
consumption
reducing
operating
costs
without
compromising
performance.
To
drive
continuous
innovation
treatment,
integration
of
advanced
technologies
robust
monitoring
control
systems
is
imperative.
This
review
explores
advancements
automation
process
within
WWTPs.
In
this
context,
Internet
Things
(IoT),
cloud
computing,
big
data
analytics,
artificial
intelligence
(AI),
blockchain,
robotics,
drones,
virtual/augmented
reality
(VR/AR),
digital
twin
are
identified
promising
tools
developing
innovative,
smart,
efficient
systems.
While
these
offers
many
benefits,
further
research
essential
optimize
their
performance
cost-effectiveness.
A
detailed
overview
current
future
applications
smart
provided,
emphasizing
strengths,
limitations,
improvements.
Advances in environmental engineering and green technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 141 - 174
Published: Jan. 16, 2025
Biofilm
technology
has
become
a
key
technique
for
treating
wastewater
by
utilizing
the
microbial
communities'
inherent
activities
to
improve
removal
of
pollutants.
An
extensive
review
biofilm
processes
is
given
in
this
chapter,
along
with
information
on
their
historical
background
and
current
uses
treatment.
Biofilms,
which
consist
microorganisms
adhering
surfaces,
can
significantly
treatment
efficiency
facilitating
breakdown
organic
matter
nutrients.
The
chapter
discusses
various
reactor
designs,
such
as
moving
bed
reactors
(MBBRs)
trickling
filters,
highlighting
operational
advantages
over
traditional
activated
sludge
systems.
This
seeks
close
knowledge
gap
between
theoretical
concepts
actual
solutions
fusing
fundamental
principles
real-world
applications.
will
ultimately
lead
adoption
more
sustainable
water
management
practices.
