Water,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1165 - 1165
Published: April 14, 2025
The
parameters
of
Low-Impact
Development
(LID)
facilities
significantly
influence
their
operational
performance
and
runoff
control
effectiveness
at
the
site.
Despite
extensive
research
on
LID
effectiveness,
limited
studies
have
focused
optimizing
design
a
community-wide
scale,
integrating
both
hydrological
statistical
methodologies.
A
novel
approach
to
was
presented
in
this
study.
This
study
established
community-scale
SWMM
model,
identified
key
by
Morris
screening
method,
determined
reasonable
parameter
ranges
based
effects.
Response
Surface
Methodology
(RSM)
applied
optimize
under
different
return
periods
impervious
area
ratios.
results
showed
that
for
volume
were
berm
height
surface
layer
sunken
greenbelt
(SG_Surface_H),
conductivity
soil
(SG_Soil_I),
permeability
pavement
permeable
(PP_Pavement_I),
thickness
storage
(PP_Storage_T).
50–265
mm,
5–80
mm/h,
50–140
100–165
respectively.
peak
flow
reduction
SG_Surface_H,
SG_Soil_I,
PP_Pavement_I,
vegetated
swale
(VS_Surface_H).
50–260
5–50
50–195
50–145
optimization
rate,
strategy
involved
increasing
SG_Surface_H
as
period
increased
when
ratio
large,
especially
rehabilitation
old
communities.
Meanwhile,
optimal
value
SG_Soil_I
greater
than
reduction.
In
contrast,
PP_Pavement_I
larger
provides
significant
reference
planning
emphasizing
parameters.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
101, P. 105182 - 105182
Published: Jan. 7, 2024
Green
infrastructure
(GI)
is
a
fundamental
building
block
of
our
cities.
It
contributes
to
the
sustainability
and
vitality
cities
by
offering
various
benefits
such
as
greening,
cooling,
water,
air
quality,
managing
carbon
emissions.
GI
plays
an
essential
role
in
enhancing
overall
well-being.
The
utilisation
artificial
intelligence
(AI)
technologies
for
optimisation
perceived
powerful
approach
A
knowledge
gap,
nevertheless,
remains
research
on
AI-driven
tackling
climate
change.
This
study
aims
consolidate
comprehension
optimisation,
particularly
methodology
adopts
PRISMA
protocol
perform
systematic
literature
review.
review
results
are
analysed
from
six
aspects—i.e.,
objectives,
objectives
categories,
indicators,
models,
types,
scales.
findings
revealed:
(a)
was
mainly
undertaken
areas
biodiversity
ecosystem
security,
energy
efficiency,
public
health,
heat
islands,
water
management;
(b)
Indicator
categories
were
concentrated
indicators
related
GI,
objective,
other
general/supporting
indicators.
Based
these
findings,
framework
developed
enhance
understanding
process
within
realm
Abstract
Sewer
systems
are
an
essential
part
of
sanitation
infrastructure
for
protecting
human
and
ecosystem
health.
Initially,
they
were
used
to
solely
convey
stormwater,
but
over
time
municipal
sewage
was
discharged
these
conduits
transformed
them
into
combined
sewer
(CSS).
Due
climate
change
rapid
urbanization,
no
longer
sufficient
overflow
in
wet
weather
conditions.
Mechanistic
data‐driven
models
have
been
frequently
research
on
(CSO)
management
integrating
low‐impact
development
gray‐green
infrastructures.
Recent
advances
measurement,
communication,
computation
technologies
simplified
data
collection
methods.
As
a
result,
such
as
artificial
intelligence
(AI),
geographic
information
system,
remote
sensing
can
be
integrated
CSO
stormwater
the
smart
city
digital
twin
concepts
build
climate‐resilient
infrastructures
services.
Therefore,
CSS
is
now
both
technically
economically
feasible
tackle
challenges
ahead.
This
review
article
explores
characteristics
associated
impact
receiving
waterbodies,
evaluates
suitable
management,
presents
studies
including
above‐mentioned
context
management.
Although
integration
all
has
big
potential,
further
required
achieve
AI‐controlled
robust
agile
mitigation.
categorized
under:
Engineering
Water
>
Sustainable
Science
Environmental
Change
ISPRS International Journal of Geo-Information,
Journal Year:
2024,
Volume and Issue:
13(3), P. 99 - 99
Published: March 18, 2024
Land
use
allocation
(LUA)
is
of
prime
importance
for
the
development
urban
sustainability
and
resilience.
Since
process
planning
managing
land
requires
balancing
different
conflicting
social,
economic,
environmental
factors,
it
has
become
a
complex
significant
issue
in
worldwide.
LUA
usually
regarded
as
spatial
multi-objective
optimization
(MOO)
problem
previous
studies.
In
this
paper,
we
develop
an
MOO
approach
tackling
problem,
which
maximum
economy,
minimum
carbon
emissions,
accessibility,
integration,
compactness
are
formulated
optimal
objectives.
To
solve
improved
non-dominated
sorting
genetic
algorithm
III
(NSGA-III)
proposed
terms
mutation
crossover
operations
by
preserving
constraints
on
sizes
each
type.
The
was
applied
to
KaMavota
district,
Maputo
City,
Mozambique,
generate
proper
plan.
results
showed
that
NSGA-III
yielded
better
performance
than
standard
NSGA-III.
solutions
produced
provide
good
trade-offs
between
This
research
beneficial
policymakers
city
planners
providing
alternative
plans
