Built Environment Project and Asset Management,
Journal Year:
2020,
Volume and Issue:
11(2), P. 251 - 265
Published: Nov. 21, 2020
Purpose
As
a
response
to
the
growing
operational
and
disruptive
threats
water
distribution
networks
(WDNs),
researchers
have
developed
vast
array
of
methods
for
reliability
analysis
WDNs.
In
order
follow
this
number
methods,
paper
reviews
documents
in
one
place
historical
developments
WDN.
Design/methodology/approach
A
systematic
literature
review
(SLR)
is
carried
out
summarize
state-of-the-art
research
on
conducting
systemic
review,
authors
adopted
an
iterative
approach
define
appropriate
keywords,
analyze
synthesize
data
finalizing
classification
results.
Findings
First,
hydraulic
currently
pervasive,
relatively
little
academic
has
addressed
topological
Second,
provide
comprehensive
picture
network
reliability,
different
that
integrates
attributes
seems
more
effective
method.
Third,
conventional
are
only
demonstrating
snapshot
these
at
given
point
time.
The
availability
enable
evaluate
changes
its
variables
still
major
challenge.
Originality/value
present
facilitates
future
WDNs
by
providing
source
references
utilities.
Further,
article
makes
contribution
offering
roadmap
reviewing
evolution
current
throughout
history.
Processes,
Journal Year:
2025,
Volume and Issue:
13(2), P. 408 - 408
Published: Feb. 4, 2025
Water
distribution
networks
(WDNs),
which
are
responsible
for
delivering
water
of
adequate
quantity
and
quality,
vulnerable
to
threats
such
as
leaks,
pipe
breaks,
contaminant
intrusions.
Hence,
it
is
important
identify
critical
network
elements
develop
more
assertive
maintenance
strategies
systems.
This
paper
aims
perform
a
risk
assessment
on
leaks
breaks
support
the
identification
in
supply
To
this
end,
complex
theory
(CNT)
applied
an
alternative
conventional
approaches
that
rely
multiple
hydraulic
simulations.
Metrics
robustness,
redundancy,
centrality,
connectivity
used
analyze
graphs
representing
WDNs.
Failures
modeled
using
simulations
evaluate
their
impact
parameters
pressure
flow.
CNT
metrics
then
applied,
including
shortest
path
calculations
between
sources
demand
vertices
assess
importance,
vertex
centrality
node
influence
network.
The
results
compared
with
outcomes
CNT-based
analyses.
Multi-criteria
analysis
employed
determine
asset
priority,
considering
failures
associated
impacts
system.
highlight
novel
approach
shifts
focus
from
state-based
assessments
topology-driven
analysis,
reducing
uncertainties
inherent
models.
Water Resources Research,
Journal Year:
2020,
Volume and Issue:
56(8)
Published: July 23, 2020
Abstract
The
optimization
of
water
networks
supports
the
decision‐making
process
by
identifying
optimal
trade‐off
between
costs
and
performance
(e.g.,
resilience
leakage).
A
major
challenge
in
domain
distribution
systems
(WDSs)
is
network
(re)design.
While
complex
nature
WDS
has
already
been
explored
with
analysis
(CNA),
literature
still
lacking
a
CNA
networks.
Based
on
systematic
Pareto‐optimal
solutions
different
WDSs,
several
graph
characteristics
are
identified,
newly
developed
design
approach
for
WDSs
proposed.
results
show
that
obtained
designs
comparable
found
evolutionary
optimization,
but
applicable
large
150,000
pipes)
substantially
reduced
computational
effort
(runtime
reduction
up
to
5
orders
magnitude).
Applied Network Science,
Journal Year:
2020,
Volume and Issue:
5(1)
Published: Jan. 2, 2020
Abstract
The
objective
of
this
research
is
to
evaluate
whether
complex
dynamics
urban
drainage
networks
(UDNs)
can
be
expressed
in
terms
their
structure,
i.e.
topological
characteristics.
present
study
focuses
on
the
application
measures
for
describing
transport
and
collection
functions
UDNs,
using
eight
subnetworks
Dresden
sewer
network
as
cases.
All
UDNs
are
considered
weighted
directed
graphs,
where
edge
weights
correspond
structural
hydraulic
pipe
characteristics
which
affect
flow.
Transport
evaluated
travel
time
distributions
(TTDs),
under
hypothesis
that
frequency
Single
Destination
Shortest
Paths
(SDSP)
nodes
outlet
had
similar
shapes
than
TTDs.
Assessment
done
based
two-sample
Kolmogorov-Smirnov
tests
comparisons
statistical
moments.
Collection
analysis,
determination
flow
paths,
two
approaches:
(1)
Edge
Betweenness
Centrality
(EBC),
(2)
number
SDSP
going
through
an
connecting
a
node
outlet,
referred
Paths.
Hydrodynamic
simulation
results
used
validate
outcomes
graph
analysis
with
actual
behaviors.
Results
indicate
given
appropriate
weighting
factor,
case
Residence
Time,
has
potential
indicator
UDNs.
Moreover,
both
EBC
values
were
highly
correlated
average
flows.
first
approach,
however,
proved
inadequate
estimating
flows
near
but
identifying
different
paths
meshed
systems,
while
second
approach
lead
better
branched
networks.
Further
studies
regarding
influence
layout
needed.
Water,
Journal Year:
2024,
Volume and Issue:
16(5), P. 646 - 646
Published: Feb. 22, 2024
Water
distribution
systems
(WDSs)
are
complex
networks
with
numerous
interconnected
junctions
and
pipes.
The
robustness
reliability
of
these
critically
dependent
on
their
network
structure,
necessitating
detailed
analysis
for
proactive
leak
detection
to
maintain
integrity
functionality.
This
study
addresses
gaps
in
traditional
WDS
by
integrating
hydraulic
measures
graph
theory
improve
sensitivity
detection.
Through
case
studies
five
distinct
WDSs,
we
investigate
the
relationship
between
metrics.
Our
findings
demonstrate
collective
impact
factors
system
efficiency.
research
provides
enhanced
insights
into
operational
dynamics
highlights
significant
potential
bolster
resilience
reliability.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2353 - 2353
Published: March 7, 2025
Resilient
water
distribution
system
is
crucial
for
sustainable
urban
management.
Evaluating
the
inherent
resilience
of
buried
infrastructure
key
to
ensuring
reliable
distribution.
The
network
maintains
quality
and
supplies
sufficient
users.
system’s
under
varying
failure
conditions
guarantee
continued
service
delivery.
This
study
investigates
University
City,
Sharjah,
United
Arab
Emirates
subjected
caused
by
pipe
failure,
contamination,
excess
demand.
research
quantifies
corresponding
performance
these
stressors
develops
an
innovative
index
using
global
analysis
(GRA)
approach.
strain
in
form
node
chlorine
decay,
pressure
failures
among
all
pipes
throughout
network.
A
survey
was
conducted
with
company
identify
recovery
time
designated
Another
experts
evaluate
relative
significance
strains
contribution
towards
resilience.
Based
on
index,
four
levels
(high,
moderate,
low,
very
low)
were
defined.
revealed
Sharjah
has
up
40%
its
stress
categorized
as
low
60%
also
presented
a
management
plan
improvement
Water Resources Research,
Journal Year:
2019,
Volume and Issue:
55(7), P. 5255 - 5276
Published: May 15, 2019
Abstract
Failures
within
water
distribution
systems
are
usually
not
isolated
and
tend
to
propagate
corresponding
transportation
infrastructure,
yet
most
criticality
resilience
analyses
of
networks
conducted
for
the
individual
infrastructure
without
accounting
interdependence.
To
address
this
research
gap,
study
investigates
how
critical
components
identified
may
be
different
when
failure
propagation
road
network.
In
study,
is
assumed
based
on
geospatial
interdependence
unidirectional,
starting
from
network
components.
A
logical
interaction
constructed
considering
between
both
infrastructures,
multiobjective
optimization
used
solve
considering:
quantity
failures,
performance
loss,
financial
costs.
This
work
presents
a
modular
workflow
analysis
proposes
Kolmogorov‐Smirnov
distance
statistic
solution
sets
as
measure
significance
interdependency
decision
making.
Results
case
suggest
that
magnitude
increases
beyond
threshold,
becomes
more
significant.
The
difference
using
only
information
significantly
(with
greater
than
95%
confidence)
city
Tampa,
40
fail
(are
isolated).
These
results
will
assist
utilities
in
asset
management
strategy
assessment,
by
helping
prioritize
component
repair
better
allocate
resources
interdependent
infrastructures.
Journal of Management in Engineering,
Journal Year:
2020,
Volume and Issue:
36(4)
Published: March 31, 2020
In
infrastructure
networks,
each
of
the
constituent
components
(nodes
and
links)
has
its
own
significance.
The
extent
to
which
node
is
important
network
largely
varies
based
on
resource
or
service
it
provides
type
nodes
that
are
dependent
it.
Similarly,
links
essential
for
uninterrupted
supply
resources
their
respective
destinations.
To
enhance
resilience
vital
importance
identify
quantify
consequences
component
failures
other
in
network,
researchers
have
proposed
several
methods.
Though
all
may
be
vulnerable
some
kind
external
hazards,
time
constraints
make
impossible
managers
policymakers
adopt
measures
every
a
network.
Hence,
necessary
address
issue
link
prioritization
develop
effective
strategies
networks.
This
study
proposes
two
indexes,
criticality
index
susceptibility
index,
deal
with
types
ranking
relevant
resilience.
Then
indexes
used
heuristic
algorithm
rank
prioritize
links.
can
support
decision-making
designing
managing
interdependent
networks
prior
disaster,
identifying
warrant
immediate
restoration
during
after
devising
additional
handle
heightened
disaster
risks
recovery.