The
potential
of
artificial
intelligence
(AI)
in
water
management
is
widely
recognised
by
research
and
practice
communities
alike,
with
an
increasing
number
applications
showed
tackling
supply,
stormwater
wastewater
challenges.
However,
there
a
critical
knowledge
gap
understanding
the
fundamental
role
AI
development
urban
infrastructure
(UWI).
This
review
aimed
to
provide
analysis
how
could
be
aligned
support
future
UWI
systems.
Four
types
analytics
–
descriptive,
diagnostic,
predictive
prescriptive
are
discussed
linked
improvement
performance
systems
from
three
categories:
reliability,
resilience
sustainability.
It
envisioned
that
technology
will
play
pivotal
transitioning
through
underpinning
five
pathways:
decentralisation,
circular
economy,
greening,
decarbonisation
automation.
barriers
improving
adoption
real
world
also
highlighted
four
dimensions:
cyber-physical
infrastructure,
institutional
governance,
social-economic
technological
wider
society.
Embedding
pathways
can
ensure
AI-empowered
deployed
equitable
responsible
way
improve
sustainability
Water,
Journal Year:
2025,
Volume and Issue:
17(2), P. 170 - 170
Published: Jan. 10, 2025
Artificial
intelligence
(AI)
uses
highly
powerful
computers
to
mimic
human
intelligent
behavior;
it
is
a
major
research
hotspot
in
science
and
technology,
with
an
increasing
number
of
applications
wider
range
fields,
including
complex
process
supervision
control.
Wastewater
treatment
example
involving
many
uncertainties
external
factors
achieve
final
product
specific
requisites
(effluents
prescribed
quality).
Reducing
energy
consumption,
greenhouse
gas
emissions,
resources
recovery
are
additional
requirements
these
facilities’
operation.
AI
could
extend
the
purpose
expected
results
previously
adopted
tools
present
operational
approaches
by
leveraging
superior
simulation,
prediction,
control,
adaptation
capabilities.
This
paper
reviews
current
wastewater
field
discusses
achievements
potentials.
So
far,
almost
all
sector
involve
predictive
studies,
often
at
small
scale
or
limited
data
use.
Frontline
aimed
creation
AI-supported
digital
twins
real
systems
being
conducted,
few
encouraging
but
still
applications.
aims
identifying
discussing
key
barriers
adoption
field,
which
include
laborious
instrumentation
maintenance,
lack
expertise
design
software,
instability
control
loops,
insufficient
incentives
for
resource
efficiency
achievement.
Cambridge Prisms Water,
Journal Year:
2023,
Volume and Issue:
1
Published: Jan. 1, 2023
Abstract
The
potential
of
artificial
intelligence
(AI)
in
water
management
is
widely
recognised
by
research
and
practice
communities
alike,
with
an
increasing
number
applications
showed
tackling
supply,
stormwater
wastewater
challenges.
However,
there
a
critical
knowledge
gap
understanding
the
fundamental
role
AI
development
urban
infrastructure
(UWI).
This
review
aimed
to
provide
analysis
how
could
be
aligned
support
future
UWI
systems.
Four
types
analytics
–
descriptive,
diagnostic,
predictive
prescriptive
are
discussed
linked
improvement
performance
systems
from
three
categories:
reliability,
resilience
sustainability.
It
envisioned
that
technology
will
play
pivotal
transitioning
through
underpinning
five
pathways:
decentralisation,
circular
economy,
greening,
decarbonisation
automation.
barriers
improving
adoption
real
world
also
highlighted
four
dimensions:
cyber-physical
infrastructure,
institutional
governance,
social-economic
technological
wider
society.
Embedding
pathways
can
ensure
AI-empowered
deployed
equitable
responsible
way
improve
sustainability
Journal of Geovisualization and Spatial Analysis,
Journal Year:
2024,
Volume and Issue:
8(2)
Published: June 26, 2024
Abstract
Artificial
intelligence
(AI)
has
increasingly
been
integrated
into
various
domains,
significantly
impacting
geospatial
applications.
Machine
learning
(ML)
and
computer
vision
(CV)
are
critical
in
urban
decision-making.
However,
AI
implementation
faces
unique
challenges.
Academic
literature
on
responsible
largely
focuses
general
principles,
with
limited
emphasis
the
domain.
This
important
gap
scholarly
work
could
hinder
effective
integration
Our
study
employs
a
multi-method
approach,
including
systematic
academic
review,
word
frequency
analysis
insights
from
grey
literature,
to
examine
potential
challenges
propose
strategies
for
(GeoAI)
integration.
We
identify
range
of
practices
relevant
complexities
using
planning
its
implementation.
The
review
provides
comprehensive
actionable
framework
adoption
domain,
offering
roadmap
researchers
practitioners.
It
highlights
ways
optimise
benefits
while
minimising
negative
consequences,
contributing
sustainability
equity.
Energy Nexus,
Journal Year:
2023,
Volume and Issue:
11, P. 100235 - 100235
Published: Aug. 25, 2023
Water
and
wastewater
utilities
consume
significant
energy,
much
guidance
has
emerged
especially
in
the
past
25
years
to
help
them
manage
it.
The
confluence
of
literature
from
independent
groups
same
timespan
speaks
enduring
relevance,
technical
nuance,
deep
substance
topic.
At
an
important
time
energy–water
nexus,
we
critically
review
29
key
publications
that
provide
comprehensive
on
subject.
We
categorize
recommended
practices,
explore
origins
guidance,
discuss
commonalities
differences
recommendations,
reflect
evolution
suggest
directions
for
future
developments.
From
this
novel
review,
find
while
documents’
scopes
differ,
consensus
developed
around
several
core
capital,
operational,
managerial
practices
water
energy
industries
have
accepted.
These
include
upgrading
pumping
equipment,
installing
renewable
treatment
repairing
leaky
pipes,
operating
according
power
rate
schedules,
optimizing
pump
use,
processes,
performing
regular
maintenance,
audits,
engaging
outreach,
training
team,
setting
goals.
Many
are
supported
by
over
260
case
studies
documents.
Some
experiential
need
more
work.
Even
as
ongoing
transition
cleaner
is
necessitating
new
approaches
must
embrace,
diversity
testifies
multiple
successful
paths
management.
recommend
choose
options
best
suit
their
opportunities,
capabilities,
values.
Journal of Water Resources Planning and Management,
Journal Year:
2023,
Volume and Issue:
150(1)
Published: Oct. 31, 2023
Drought
and
population
growth,
especially
in
the
western
United
States,
are
propelling
a
need
for
more
efficient
irrigation.
Smart
irrigation
controllers,
which
interface
with
soil
moisture,
evapotranspiration
(ET),
or
weather
sensors,
have
been
promoted
as
demand-side
management
tool
this
purpose.
This
paper
reviews
body
of
research
on
residential
smart
controllers
their
effectiveness.
We
find
that
consistently
reduce
water
demand
by
15%
among
general
users
than
40%
indulgent
users.
Gaps
include
studies
addressing
peak
reduction,
centralized
communication,
data
verifiability,
human
factors
landscape
management.
Future
work
may
develop
techniques
coordinating
networks
to
enable
greater
shifting
shaving
discretionary
demands,
similar
what
is
already
happening
electric
grid,
thereby
creating
an
integrated
distribution
system
(IWDS).
An
IWDS
utilize
direct
load
control
devices
at
customer
end
points
advanced
metering
infrastructure
(AMI)
supervisory
acquisition
(SCADA)
systems
central
location
create
effective
(DSM)
strategies
conservation.
Water,
Journal Year:
2023,
Volume and Issue:
15(19), P. 3492 - 3492
Published: Oct. 6, 2023
Issues
such
as
climate
change,
water
scarcity,
population
growth,
and
distribution
losses
have
stimulated
the
use
of
new
technologies
to
manage
resources.
This
is
how
concept
smart
management
emerged
a
subcategory
cities.
article
aimed
first
identify
applications
water-management
systems
described
in
academic
articles
either
development
or
already
implemented
future
trends;
and,
second,
classify
them
according
processes
value
chain
public
supply
services.
To
this
end,
systematic
review
literature
was
carried
out,
which
100
mentions
were
identified
62
selected
articles;
then,
grouped
into
10
categories.
The
most
frequent
application
categories
meters,
implementation
models
architectures,
loss
management.
Among
chain,
highly
predominant.
lack
detail
about
integration
between
different
for
system
pointed
out
limitation
an
opportunity
research
development,
especially
terms
technological
roadmap
study
based
on
relationship
meters
Water,
Journal Year:
2025,
Volume and Issue:
17(3), P. 299 - 299
Published: Jan. 22, 2025
Sewer
infrastructure
is
vital
for
flood
prevention,
environmental
protection,
and
public
health.
As
part
of
sewer
infrastructure,
systems
are
prone
to
degradation.
Traditional
maintenance
methods
largely
manual
reactive
rely
on
inconsistent
data,
leading
inefficient
maintenance.
The
KaSyTwin
research
project
addresses
the
urgent
need
efficient
resilient
system
management
in
Germany,
aiming
develop
a
methodology
semi-automated
development
utilization
digital
twins
enhance
data
availability
operational
resilience.
Using
advanced
multi-sensor
robotic
platforms
equipped
with
scanning
imaging
systems,
i.e.,
laser
scanners
cameras,
as
well
artificial
intelligence
(AI),
focuses
generating
twin-enabled
representations
real
time.
report,
this
work
outlines
framework
proposed
methodologies
project.
Digital
integrated
AI
technologies
expected
facilitate
proactive
maintenance,
resilience
forecasting
against
extreme
weather
events,
real-time
damage
detection.
Furthermore,
aspires
advance
ensuring
long-term
functionality
welfare
via
on-demand
structural
health
monitoring
non-destructive
testing.
Revista Cientifica de Sistemas e Informatica,
Journal Year:
2025,
Volume and Issue:
5(1), P. e762 - e762
Published: Jan. 20, 2025
El
acceso
al
agua
potable
en
zonas
rurales
sigue
presentando
desafíos
estructurales
debido
a
brechas
tecnológicas,
operativas
y
de
planificación.
Este
estudio
revisamos
el
estado
del
arte
sobre
uso
Big
Data
e
Inteligencia
Artificial
la
optimización
infraestructura
hídrica
rural.
Realizamos
una
revisión
sistemática
las
bases
datos
Scopus
abarcando
publicaciones
entre
2015
2025.
Identificamos
582
artículos,
los
cuales
48
cumplieron
con
criterios
inclusión.
Los
resultados
mostraron
que
modelos
predictivos
análisis
masivos
han
mejorado
eficiencia
operativa,
anticipando
fallas
redes
distribución
precisión
hasta
85%,
reduciendo
pérdidas.
Asimismo,
tecnologías
como
sensores
IoT,
gemelos
digitales
sistemas
automatizados
sido
aplicadas
éxito
diversos
países,
generando
impactos
positivos
sostenibilidad
servicio.
Concluimos
digitalización
gestión
potable,
mediante
IA
Data,
constituye
estrategia
efectiva
para
mejorar
resiliencia
calidad
abastecimiento
contextos
rurales.
Estos
hallazgos
ofrecen
insumos
clave
diseñar
políticas
soluciones
tecnológicas
aplicables
regiones
San
Martín,
Perú.
Technology in Society,
Journal Year:
2023,
Volume and Issue:
76, P. 102436 - 102436
Published: Nov. 22, 2023
This
paper
addresses
the
'digital
imperative'
and
how
organisations
are
pressured
to
digitalise.
In
comparison
previous
studies
that
often
emphasise
market
pressures
digitalise,
this
focuses
on
institutional
exerted
lack
competitive
pressures.
By
drawing
upon
theory,
which
considers
social
embeddedness
of
organisations,
it
acknowledges
expectations
approval
can
shape
way
respond
technological
change.
Based
a
study
digitalisation
within
water
sector,
where
perceived
benefits
digital
technologies
advocated
under
label
water',
shows
there
isomorphic
processes
in
place
through
idea
is
legitimised.
Hence,
utilities
digitalise
which,
turn,
influence
they
digitalisation.
