Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections
Resources Conservation and Recycling,
Год журнала:
2023,
Номер
198, С. 107123 - 107123
Опубликована: Авг. 2, 2023
Язык: Английский
Resilient Urban Flood Management: A Multi-Objective Assessment of Mitigation Strategies
Sustainability,
Год журнала:
2024,
Номер
16(10), С. 4123 - 4123
Опубликована: Май 14, 2024
This
study
employs
a
comprehensive
multi-objective
efficiency
index
(EI)
to
assess
urban
flood
mitigation
strategies.
The
EI
enables
the
simple
interpretation
of
strategy’s
with
value
range
between
−1
(low
efficiency)
and
1
(high
efficiency),
which
represents
practical
communication
tool
for
decision
makers,
engineers,
researchers.
was
tested
at
site
Feldbach
(Austria)
an
integrated
1D–2D
model
distributed
hydrological
model.
A
total
112
scenarios
were
analysed
six
strategies,
built
from
three
future
challenge
scenarios,
two
observed
heavy
storm
events,
pre-conditions.
For
given
site,
analysis
identifies
strategies
implemented
in
rural
boundary
areas
as
most
effective.
novel
aspect
this
is
consideration
water
balance
change,
highlighting
its
impact
on
EI.
highlights
importance
analysing
each
relevant
process
separately
determine
order
understand
why
strategy
more
or
less
efficient.
Язык: Английский
Exploring Cost-effective Implementation of Real-time Control to Enhance Flooding Resilience against Future Rainfall and Land Cover Changes
Authorea (Authorea),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 6, 2023
Advances
in
sensing
and
controlling
technology
accelerate
the
application
of
real-time
control
(RTC)
stormwater
management.RTC
enables
existing
urban
drainage
systems
(UDSs)
to
be
retrofitted
autonomously
controlled
adapt
increasing
runoff
volume
peak
flow
rates
associated
with
extreme
storm
events.The
goal
this
research
is
utilize
RTC
promote
resilient
UDSs'
performance
against
disturbances
induced
by
climate
land
cover
changes.The
present
study
investigates
cost-effectiveness
enhancing
flooding
resilience.We
developed
an
predictive
adaptation
strategy
at
incremental
levels
(0%,
33%,
67%,
100%)
using
Python
U.S.
Environmental
Protection
Agency's
Storm
Water
Management
Model
(SWMM).A
UDS
located
Salt
Lake
City,
Utah,
USA,
served
as
case
study.Results
showed
that
implementation
smart
enhances
resilience
up
37%
under
future
combined
changes
rainfall
intensity
imperviousness.The
partially
(67%
33%
levels)
outperforms
fully
system
(100%
level)
when
factoring
costs.RTC
a
cost-effective
strategy:
one
million
USD
investment
3.2%
30year
life
cycle.These
findings
support
establishing
approaches
create
new
generation
adaptive
uncertain
conditions.
Язык: Английский
An Event-Based Resilience Index to Assess the Impacts of Land Imperviousness and Climate Changes on Flooding Risks in Urban Drainage Systems
Water,
Год журнала:
2023,
Номер
15(14), С. 2663 - 2663
Опубликована: Июль 23, 2023
Assessing
the
resilience
of
urban
drainage
systems
requires
consideration
future
disturbances
that
will
disrupt
system’s
performance
and
trigger
flooding
failures.
However,
most
existing
assessments
rarely
consider
uncertain
threats
from
redevelopment
climate
change,
which
leads
to
underestimation
toward
system
performance.
This
paper
fills
in
gap
assessing
combined
relative
impacts
impervious
land
cover
rainfall
changes
on
context
a
densely
infilled
catchment
served
by
an
Salt
Lake
City,
Utah,
USA.
An
event-based
index
is
proposed
measure
change
urbanization
floods.
Compared
with
traditional
metric,
can
climatic
urbanized
each
event;
new
assist
engineers
harvesting
high-resolution
infrastructure
adaptation
strategies
at
vulnerable
spots
level
junction
level.
Impact
comparison
for
case
study
shows
surface
induce
greater
effects
curves
magnifying
maximum
failure
level,
lengthening
recovery
duration,
aggravating
severity
than
intensity
changes.
A
nonlinear
logarithmic
correlation
found;
this
finding
more
sensitive
imperviousness
due
study.
research
work
predicts
response
induced
redevelopment,
improving
understanding
impact
analysis,
contributes
advancement
resilient
changing
environments.
Язык: Английский
Assessing land degradation neutrality in semi-arid dryland agroecosystems of the matabeleland North province of Zimbabwe
Earth Science Informatics,
Год журнала:
2024,
Номер
17(5), С. 4035 - 4054
Опубликована: Июнь 24, 2024
Язык: Английский
Modeling Operations in System-level Real-time Control for Urban Flooding Reduction and Water Quality Improvement -An Open-source Benchmarked Case
Authorea (Authorea),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 3, 2023
Increases
in
the
integrated
application
of
smart
sensing
and
control
technologies
enable
urban
drainage
engineers
to
retrofit
stormwater
storage
facilities
with
controllers
actuating
valves
gates
address
flooding
water
quality
problems
across
entire
watershed.This
objective
becomes
increasingly
challenging
because
simultaneously
controlling
spatially
distributed
assets
solve
issue
at
downstream
outlet
sites
does
not
necessarily
alleviate
overflow
upstream
ponds.To
that
end,
this
study
presents
a
system-level
real-time
simulation
for
assessing
performance
trade-off
between
mitigation
outlets
improvements
units
like
detention
pond.Using
benchmarked
model
located
southeast
Michigan,
USA,
watershed-scale
challenges,
we
investigated
temporal
changes
depth,
flow,
total
suspended
solids
under
different
strategies,
including
one
individual
operated
only
most
site
two
controls
all
sites.Modeling
results
show
reduces
peak
shortens
duration,
removes
pollutant
load,
by
up
7.3%,
34%,
65%,
respectively.However,
always
perform
better
than
strategy,
especially
addressing
duration
outlet.This
modeling
work
advances
realtime
understanding
building
adaptive
management
solution
against
quantity
issues.
Язык: Английский
The Performance Comparison between RTC and GI to Mitigate Impacts of Climate Change and Urban Redevelopment on Urban Flooding
Authorea (Authorea),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 3, 2023
Green
stormwater
infrastructure
(GI)
is
widely
adopted
for
addressing
urban
flooding
challenges.
Another
rising
solution
that
complementary
to,
but
distinguishable
from
GI,
smart
real-time
control
(RTC).
However,
the
outcomes
of
battle
between
RTC
and
GI
has
been
unknown.
This
research
compares
performance
to
mitigate
climatic
urbanized
influences
on
historical
future
floods;
a
case
study
located
in
Sugar
House
neighborhood
Salt
Lake
City,
Utah,
USA,
was
provided.
Results
show
have
comparable
reduce
severity
2001-2015,
outperforms
improving
resilience
future.
Especially
2085
2099,
maintains
system
service
level
against
disturbances
better
than
GI.
work
improves
understanding
about
how
brings
benefits
controlling
floods.
Язык: Английский
Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections
Authorea (Authorea),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 6, 2023
Traditional
stormwater
control
measures
are
designed
to
handle
system
loadings
induced
by
fixed-size
storm
events.
However,
climate
change
is
predicted
alter
the
frequency
and
intensity
of
flooding
events,
stimulating
need
explore
another
more
adaptive
solution
like
real-time
(RTC).
This
study
assesses
performance
RTC
mitigate
impacts
on
urban
resilience.
A
simulated,
yet
realistic,
drainage
in
Salt
Lake
City,
Utah,
USA,
shows
that
improves
resilience
up
17%
under
climatic
rainfall
changes.
Compared
with
green
stormwatrer
infrastructure
(GSI),
exhibits
a
lower
resistibility,
failure
level,
higher
recovery
rate
curves.
Results
articulate
keeping
RTC’s
consistent
‘back-to-back’
storms
requires
tradeoff
between
upstream
dynamical
operation
downstream
functionality
loss.
research
suggests
provides
new
path
towards
smart
resilient
management
strategy.
Язык: Английский
Toward a water-sensitive precinct with stormwater harvesting: a case study in South Africa
Water Science & Technology Water Supply,
Год журнала:
2024,
Номер
24(7), С. 2367 - 2382
Опубликована: Май 21, 2024
ABSTRACT
The
study
assessed
static
management,
i.e.,
without
planned
periodic
maintenance
of
the
storage
(no
sediment
dredging)
denoted
as
SC1,
or
with
SC2.
second
approach
was
dynamic
management
based
on
applying
Real-Time
Control
(RTC)
techniques
to
scenario
SC1
and
SC2
RTC-1
RTC-2,
respectively.
UCT
dam
RTC-2
approaches
increase
yield
by
2.1
1.1
ml,
Additionally,
volumetric
reliability
5.3
2.5%,
respectively,
while
maintaining
required
level
service
a
stormwater
harvesting
system.
results
in
water
savings
up
21.15
21.45
ZAR/kl,
could
save
19.35
19.45
ZAR/kl.
Thus,
configurations
approximately
9%
comparison
RTC.
In
addition,
harvested
at
relatively
lowest
unit
cost
RTC
configurations.
Notwithstanding
this
finding,
system
exhibits
great
potential
reshaping
simultaneously
deliver
conservation
management.
Язык: Английский