Physics of Fluids,
Journal Year:
2024,
Volume and Issue:
36(12)
Published: Dec. 1, 2024
With
the
increase
in
length
and
age
of
urban
sewer
pipeline
construction,
black
smelly
water
pollution
caused
by
siltation
deposition
has
increased
pipelines,
affecting
their
flow
capacity
increasing
risk
flooding.
This
presents
a
significant
challenge
to
environment,
human
life
health.
Hence,
investigate
potential
approaches
for
controlling
deposition,
governing
equations
dynamic
simulation
model
fluid–structure
coupling
silted
are
constructed
combining
theory
fluid
dynamics
analysis,
method
unit
volume
computational
(CFD),
discrete
element
(DEM).
Then,
predict
sedimentation
law
particles
with
high
accuracy,
an
adaptive
punishment
mechanism
(APM)
intelligent
prediction
particle
settlement
sediment
hyperparameter
optimization
is
adopted
based
on
probability
function
(PSF),
non-dominated
sorting
genetic
algorithm
(NSGA)
multiscale
bidirectional
long
short-term
memory
neural
network
(MBLSTM).
By
self-punishment
PSF-NSGA-MBLSTM
CFD-DEM,
high-resolution
numerical
CFD-DEM-APM
hydraulic
transport
pipelines
proposed
describe
particle-phase
fluid-phase
state
transfer
process.
Experimental
results
show
that
accuracy
maintained
within
5%–11%
range,
which
far
better
than
other
algorithms.
study
provides
guidance
critical
conditions
desilting
pipe
inlet
velocity/flow
control
scour
environment
improvement
restriction.
Journal of Facilities Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
Purpose
The
stormwater
industry
grapples
with
numerous
environmental
challenges
resulting
from
producing
and
using
storm
materials.
Green
building
materials
(GBMs)
offer
a
more
ecologically
friendly
alternative
to
conventional
construction
However,
establishing
criteria
for
selecting
GBMs
assessing
their
sustainability
has
proven
be
complex
endeavor.
Therefore,
this
paper
aims
assess
the
suitability
of
in
management
projects.
Design/methodology/approach
This
study
investigates
identifies
green
drainage
based
on
previous
literature
an
extensive
survey
involving
140
stakeholders
Egyptian
industry,
including
facilities
managers,
asset
engineers
policymakers.
A
comprehensive
model
employing
partial
least
squares
structural
equation
modeling
artificial
neural
network
is
developed
Findings
study’s
findings
emphasize
pivotal
role
social
factors
practical
implementation
material
selection
criteria.
Understanding
intricate
interplay
among
economic,
dimensions
becomes
crucial
as
navigate
transition
toward
sustainable
Originality/value
research
highlights
importance
integrating
into
decision-making,
contributing
holistic
effective
strategies
management.
originality
lies
its
innovative
approach
projects
novel
insights
dynamics
selection,
addressing
significant
gap
field.
Engineering Applications of Computational Fluid Mechanics,
Journal Year:
2025,
Volume and Issue:
19(1)
Published: March 25, 2025
Efficient
and
accurate
flood
inundation
mapping
is
essential
for
risk
assessment,
emergency
response,
community
safety.
The
deep
learning-enabled
rapid
simulation
demonstrates
superior
computational
efficiency
compared
to
traditional
hydrodynamic
models.
However,
most
learning-based
models
currently
focus
on
predicting
the
maximum
water
depth
face
challenges
in
generalizing
rainfall
events
of
different
durations.
This
paper
proposes
a
fast
method
based
image
super-resolution,
utilizing
novel
DenseUNet
architecture
predict
velocity
temporal
events.
proposed
integrates
physical
catchment
characteristics
enhance
resolution
maps
generated
by
coarse-grid
model
using
deep-learning
model.
applied
rural-urban
Shenzhen
River
southern
China.
effectively
reproduces
test
against
fine-grid
model,
achieving
root
mean
square
errors
below
0.06
0.07
m/s,
respectively,
with
percentage
bias
within
±5%.
For
prediction,
exhibits
Nash-Sutcliffe
Pearson
correlation
coefficient
exceeding
0.99.
Similarly,
both
metrics
exceed
0.94.
outperforms
over
2800
times.
developed
this
study
regression
classification
performance
commonly
used
ResUNet
UNet
architectures.
robust
wide
range
super-resolution
scale
factors.
presents
an
efficient
surrogate
mapping,
providing
valuable
insights
applying
methods
simulation.
Hydrology and earth system sciences,
Journal Year:
2025,
Volume and Issue:
29(8), P. 2109 - 2132
Published: April 28, 2025
Abstract.
Watershed
hydrological
processes
are
significantly
influenced
by
land
use
and
cover
change
(LULCC)
characteristics
such
as
topography.
In
economically
advanced
regions,
coordinating
planning
water
resource
management
is
essential
for
mitigating
flood
risks
ensuring
sustainable
development.
This
study
compares
the
effects
of
terrain
slope
urbanization-driven
LULCC
on
in
two
adjacent
subtropical
watersheds
but
with
distinct
Greater
Bay
Area
(GBA)
China.
We
developed
an
integrated
surface–subsurface
model
(ISSHM)
using
Simulator
Hydrologic
Unstructured
Domains
(SHUD)
calibrated
it
data
from
river
groundwater
monitoring
stations.
The
simulated
processes,
including
surface
runoff,
subsurface
flow,
evapotranspiration
(ET),
infiltration,
to
quantify
movement
(measured
meters)
assess
impacts
LULCC.
Results
show
that
differently
based
watershed
characteristics.
mountainous
areas,
there
consistent
high
correlations
between
annual
flow
across
all
watersheds.
However,
at
lower
elevations,
responses
steeper
correlate
weakly
local
slope.
Urbanization,
marked
increased
impervious
surfaces,
raises
runoff
decreases
infiltration
ET,
especially
flatter
watersheds,
rise
proportionally
less
than
increase
indicating
a
buffering
capacity
against
urbanization.
this
diminishes
increasing
rainfall
intensity.
Overall,
ISSHM
provides
robust
analysis
hydrology
scales,
enabling
predictive
approaches
optimizing
urban
development
growing
cities.
