Buildings,
Год журнала:
2025,
Номер
15(11), С. 1889 - 1889
Опубликована: Май 30, 2025
The
combined
effects
of
rapid
urbanization
and
climate
change
are
increasingly
exacerbating
the
risk
urban
flooding.
This
study
develops
a
data-efficient
framework
for
estimating
city’s
Urban
Stormwater
Carrying
Capacity
(USCC)—the
maximum
stormwater
volume
that
can
be
safely
infiltrated,
stored,
conveyed.
couples
three
rainfall
scenarios—frequent,
heavy,
extreme—with
nine
widely
adopted
drainage
storage
measures,
ranging
from
green
spaces
permeable
pavements
to
pipes
underground
emergency
reservoirs,
expresses
USCC
through
streamlined
water-balance
equation.
Applied
24
km2
Zhangmian
River
district
in
Weifang,
China,
yields
capacities
4.84,
5.86,
9.80
×
106
m3
scenarios,
respectively;
reservoirs
supply
≈
40%
extreme-event
capacity.
Sensitivity
analysis
shows
increasing
imperviousness
coefficient
0.65
0.85
raises
peak
demand
by
30.8%,
whereas
halving
reservoir
depth
lowers
total
capacity
27.8%.
Because
method
requires
only
depth,
land-cover
data,
basic
facility
dimensions,
it
enables
rapid,
transparent
scenario
testing
helps
planners
prioritize
cost-effective
upgrades.
approach
is
transferable
other
cities
extended
incorporate
water
quality
or
digital-twin
modules
future
research.
Applied Sciences,
Год журнала:
2025,
Номер
15(8), С. 4228 - 4228
Опубликована: Апрель 11, 2025
This
systematic
review
explores
the
use
of
digital
twins
(DT)
for
sustainable
agricultural
water
management.
DTs
simulate
real-time
environments,
enabling
precise
resource
allocation,
predictive
maintenance,
and
scenario
planning.
AI
enhances
DT
performance
through
machine
learning
(ML)
data-driven
insights,
optimizing
usage.
In
this
study,
from
an
initial
pool
48
papers
retrieved
well-known
databases
such
as
Scopus
Web
Science,
etc.,
a
rigorous
eligibility
criterion
was
applied,
narrowing
focus
to
11
pertinent
studies.
highlights
major
disciplines
where
technology
is
being
applied:
hydroponics,
aquaponics,
vertical
farming,
irrigation.
Additionally,
literature
identifies
two
key
sub-applications
within
these
disciplines:
simulation
prediction
quality
soil
water.
also
types
maturity
levels
concepts
applications.
Based
on
their
current
implementation,
in
agriculture
can
be
categorized
into
functional
types:
monitoring
DTs,
which
emphasize
response
environmental
control,
enable
proactive
irrigation
management
forecasting.
techniques
used
framework
were
identified
based
These
findings
underscore
transformative
role
that
play
enhancing
efficiency
sustainability
Despite
technological
advancements,
challenges
remain,
including
data
integration,
scalability,
cost
barriers.
Further
studies
should
conducted
explore
issues
practical
farming
environments.
PeerJ Computer Science,
Год журнала:
2025,
Номер
11, С. e2839 - e2839
Опубликована: Апрель 29, 2025
Multi-disease
conditions
strain
the
body’s
defenses,
complicating
recovery
and
increasing
mortality
risk.
Therefore,
effective
concurrent
prevention
of
multiple
diseases
is
essential
for
mitigating
complications
improving
overall
well-being.
Explainable
artificial
intelligence
(XAI)
with
an
advanced
multimodal
large
language
model
(LLM)
can
create
interactive
system
enabling
general
public
to
engage
in
natural
without
any
specialized
knowledge
prerequisites.
Counterfactual
explanation,
XAI
method,
offers
valuable
insights
by
suggesting
adjustments
patient
features
minimize
disease
risks.
However,
addressing
simultaneously
poses
challenging
barriers.
This
article
proposes
multi-disease
that
uses
Google
Gemini
Pro,
a
LLM,
non-dominated
sorting
genetic
algorithm,
namely
NSGA-II,
overcome
such
problems.
recommends
changes
feature
values
concurrently
risk
as
heart
attacks
diabetes.
The
facilitates
personalized
value
selection,
significantly
reducing
attack
probabilities
low
possible.
Such
approach
holds
potential
address
unresolved
issue
preventing
managing
public.
City and Built Environment,
Год журнала:
2025,
Номер
3(1)
Опубликована: Май 30, 2025
Abstract
In
recent
years,
rain
barrels
(RBs)
have
emerged
as
effective
stormwater
management
tools
for
mitigating
urban
flooding.
Our
previous
study
in
Saitama
City
revealed
that
traditional
RBs
performed
poorly
the
densely
populated
residential
areas
compared
to
other
low-impact
development
solutions.
This
investigated
effectiveness
of
smart
RB,
comprising
water
pumps.
These
SRBs
can
be
controlled
online
using
switches
rely
on
local
weather
forecasts,
ensure
are
emptied
before
rainfall.
We
aimed
assess
how
reduce
pluvial
flooding
during
continuous
rainfall
PySWMM
model.
varied
drainage
values
simulations
control
activation
switches,
enabling
us
evaluate
flood
reduction.
The
results
showed
reduced
total
runoff
volume
by
2–10%
RBs.
Moreover,
although
reduction
effect
was
found
independent
their
size,
increased
proportionally
with
capacity.
Buildings,
Год журнала:
2025,
Номер
15(11), С. 1889 - 1889
Опубликована: Май 30, 2025
The
combined
effects
of
rapid
urbanization
and
climate
change
are
increasingly
exacerbating
the
risk
urban
flooding.
This
study
develops
a
data-efficient
framework
for
estimating
city’s
Urban
Stormwater
Carrying
Capacity
(USCC)—the
maximum
stormwater
volume
that
can
be
safely
infiltrated,
stored,
conveyed.
couples
three
rainfall
scenarios—frequent,
heavy,
extreme—with
nine
widely
adopted
drainage
storage
measures,
ranging
from
green
spaces
permeable
pavements
to
pipes
underground
emergency
reservoirs,
expresses
USCC
through
streamlined
water-balance
equation.
Applied
24
km2
Zhangmian
River
district
in
Weifang,
China,
yields
capacities
4.84,
5.86,
9.80
×
106
m3
scenarios,
respectively;
reservoirs
supply
≈
40%
extreme-event
capacity.
Sensitivity
analysis
shows
increasing
imperviousness
coefficient
0.65
0.85
raises
peak
demand
by
30.8%,
whereas
halving
reservoir
depth
lowers
total
capacity
27.8%.
Because
method
requires
only
depth,
land-cover
data,
basic
facility
dimensions,
it
enables
rapid,
transparent
scenario
testing
helps
planners
prioritize
cost-effective
upgrades.
approach
is
transferable
other
cities
extended
incorporate
water
quality
or
digital-twin
modules
future
research.