Sustainability,
Год журнала:
2024,
Номер
16(13), С. 5391 - 5391
Опубликована: Июнь 25, 2024
In
recent
decades,
the
impacts
of
urbanization
on
hydrological
cycle
have
led
to
an
increase
in
frequency
and
magnitude
urban
flooding
events,
this
is
also
amplified
by
effects
climate
change.
Sustainable
Drainage
Systems
(SuDS)
provide
a
revolutionary
change
field,
improving
sustainability
resilience
cities.
This
research
explores
integration
different
SuDS
with
aim
significantly
reducing
both
flow
volume
celerity
floods
residual
catchment
area
metropolitan
city
Querétaro
(Mèxico),
where
extreme
rainfall
frequently
occurs.
representative
suburb
pressure
environmental
degradation
problems.
Currently,
managing
storm
water
under
uncertainty
through
multi-disciplinary
approach
major
concern
area.
A
1D–2D
coupling
model
shallow
equations,
finite
method,
unstructured
meshing
hybrid
parallel
computing
application
defined
optimal
configuration
at
scale
reduce
flood
vulnerability
Querétaro.
Specifically,
paper,
we
explore
management
issues
proposed
that
acts
as
resource
system
multiple
purposes.
generic
simulation
called
MODSIM
was
applied
simulate
designed
drainage
balanced
IPCC
future
scenario
terms
reliability,
against
scarcity.
The
hierarchical
Reliability–Resilience–Vulnerability
appears
be
effective
evaluating
performance,
showing
complete
satisfaction
non-essential
uses
can
assured
65%
rate
reliability
for
large
range
reservoir
storage
conditions.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Янв. 29, 2024
Sustainable
drainage
systems
(SuDS)
are
nature-based
methods
of
managing
urban
stormwater
runoff.
Although
they
widely
used,
some
SuDS,
such
as
highway
filter
drains
(HFDs),
understudied
with
respect
to
sizing
and
performance.
For
the
first
time,
we
developed
an
analytical
probabilistic
model
(APM)
that
can
be
used
design
estimate
hydrologic
performance
HFDs.
Unlike
conventionally
design-storm
based
or
continuous
simulation
approaches,
our
APM
directly
calculate
runoff
capture
ratios
HFDs
using
closed-form
equations.
Validation
presented
here
shows
it
is
robust
reliable.
The
relative
differences
between
APM-estimated
simulation-determined
for
all
simulated
cases
less
than
8.5%.