Water,
Год журнала:
2023,
Номер
15(17), С. 3069 - 3069
Опубликована: Авг. 27, 2023
Water
and
energy
are
essential
resources
that
flow
between
different
regions
in
economic
activities,
forming
a
complex
network
profoundly
impacts
sustainable
development.
Revealing
structural
resilience
allows
for
the
identification
of
weak
links,
thus
enhancing
capacity
This
study
employs
resilience-based
method
to
examine
changes
virtual
water-energy
transfers,
combining
input–output
tables
total
resource
consumption
coefficients
(TRCC)
investigate
network.
Case
studies
were
conducted
Yangtze
River
Economic
Belt
(YEB)
2012
2017.
The
results
show
water
rate
decreased
by
28.66%,
while
increased
4.88%
YEB.
network’s
is
better
than
shows
significant
improvement
later
periods.
structure
has
clear
hierarchical
structure,
relatively
flat.
transmission
connectivity
two
networks
do
not
differ
significantly,
but
superior
There
agglomeration
stages,
there
no
change
contact
Energy Conversion and Management,
Год журнала:
2023,
Номер
279, С. 116769 - 116769
Опубликована: Фев. 4, 2023
The
development
of
smart
sensors,
low
cost
communication,
and
computation
technologies
enables
continuous
monitoring
accumulation
tremendous
amounts
data
for
heat
pump
systems.
But
the
measurements,
especially
domestic
pump,
usually
suffer
from
incompleteness
given
technical
and/or
economic
barriers,
which
prevents
database
measurements
being
exploited
to
its
full
potential.
To
this
end,
work
proposes
a
data-driven
soft
sensor
approach
compensating
multiple
missing
information.
sensors
are
developed
based
on
an
ANN
model,
integrated
multivariate
polynomial
regression
model
empirical
by
considering
different
constrains
like
information
availability
during
establishing
process.
All
three
models
have
been
validated
against
field
test
installation,
showed
good
performance
all
compensated
variables.
Of
models,
shows
best
but
it
has
highest
requirement
additional
resources
collect
training
data.
While
demonstrates
excellent
accuracy
majority
with
manufacturers'
subcomponent
needs
no
extra
cost.
Even
though
is
not
as
accurate
other
two
still
performs
limited
map.
methods
in
present
study
paves
way
available
measured
thousands
installations
be
fully
utilized
innovative
services
including
to:
improved
control
strategies,
fault
detection
diagnosis,
communication
local
energy
grids.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Июль 27, 2023
Water
Distribution
Networks
(WDNs)
are
considered
one
of
the
most
important
water
infrastructures,
and
their
study
is
great
importance.
In
meantime,
it
seems
necessary
to
investigate
factors
involved
in
failure
urban
distribution
network
optimally
manage
resources
environment.
This
investigated
impact
influential
on
rate
Birjand,
Iran.
The
outcomes
can
be
a
case
study,
with
possibility
extending
any
similar
city
worldwide.
soft
sensor
based
Adaptive
Neuro-Fuzzy
Inference
System
(ANFIS)
was
implemented
predict
effective
features.
Finally,
WDN
assessed
using
Failure
Modes
Effects
Analysis
(FMEA)
technique.
results
showed
that
pipe
diameter,
material,
pressure
factors.
Besides,
polyethylene
pipes
have
rates
four
times
higher
than
asbestos-cement
pipes.
Moreover,
directly
proportional
but
inversely
related
diameter.
FMEA
analysis
knowledge
management
technique
demonstrated
WDNs
main
policy
for
risk
reduction
leakage
failure.
Journal of Building Engineering,
Год журнала:
2024,
Номер
92, С. 109685 - 109685
Опубликована: Май 20, 2024
With
the
increasing
demand
for
buildings,
utilisation
of
green
materials
represents
a
novel
approach
toward
achieving
sustainable
development
goals.
Cellulose-based
materials,
such
as
jute,
exemplify
eco-friendly
substances
civil
engineering
applications.
The
present
study
aims
at
studying
aging
behavior
jute
fibers
in
an
alkaline
environment.
For
this
purpose,
three
alkali
environments
(NaOH,
KOH,
Ca(OH)2)
with
different
concentrations
were
selected.
Samples
treated
periods
(7d,
14d,
and
28d)
to
assess
impact
treatment
on
fiber
properties.
This
introduces
pioneering
concept
jute-based
fibres
evaluate
tensile
strength
weight
loss,
marking
first
its
kind.
incorporates
various
characterisation
techniques,
including
Differential
Scanning
Calorimetry
(DSC),
Thermo-Gravimetric
Analysis
(TGA),
Electron
Microscopy
(SEM)
process.
In
our
experimental
procedures,
we
evaluated
key
parameters
type
alkali,
concentration,
curing
time
their
influence
strength.
Subsequently,
applied
Response
Surface
Methodology
(RSM)
conjunction
bagging
techniques
develop
mathematical
models
based
acquired
data.
Results
demonstrated
varied
strengths
type,
duration.
Fibres
15
g/L
concentration
NaOH
exhibited
increase
from
7
days
(79.66
MPa)
28
(225.05
MPa).
highest
KOH
was
observed
14
(237.58
Ca(OH)₂
treatments,
30
(111.28
It
also
that
prolonged
exposure
very
high
could
adversely
affect
strength,
case
(84.73
Among
tested,
greater
effectiveness
compared
Ca(OH)2.
According
RSM
analysis,
sample
found
be
most
significant
factor
P-value
0.009.
On
average,
changes
by
54%,
52%,
35%
NaOH,
Ca(OH)₂,
respectively,
when
shifts
days.
Water,
Год журнала:
2023,
Номер
15(5), С. 999 - 999
Опубликована: Март 6, 2023
Precise
forecasting
of
streamflow
is
crucial
for
the
proper
supervision
water
resources.
The
purpose
present
investigation
to
predict
successive-station
using
Gated
Recurrent
Unit
(GRU)
model
and
quantify
impact
input
information
(i.e.,
precipitation)
uncertainty
on
GRU
model’s
prediction
Generalized
Likelihood
Uncertainty
Estimation
(GLUE)
computation.
Zarrineh
River
basin
in
Lake
Urmia,
Iran,
was
nominated
as
case
study
due
importance
location
its
significant
contribution
lake
inflow.
Four
stations
were
considered
from
upstream
downstream.
yielded
highly
accurate
all
stations.
future
precipitation
data
generated
under
Representative
Concentration
Pathway
(RCP)
scenarios
used
estimate
effect
prediction.
p-factor
(inside
interval)
r-factor
(width
indices
evaluate
uncertainty.
GLUE
predicted
reliable
ranges
0.47
0.57
61.6%
89.3%
p-factor.
Water,
Год журнала:
2023,
Номер
15(18), С. 3171 - 3171
Опубликована: Сен. 5, 2023
Social
media
has
become
a
useful
instrument
and
forum
for
expressing
worries
about
various
difficulties
day-to-day
concerns.
The
pertinent
postings
containing
people’s
complaints
water
quality
as
an
additional
source
of
information
can
be
automatically
acquired/retrieved
analyzed
using
natural
language
processing
machine
learning
approaches.
In
this
paper,
we
search
social
analysis
propose
scalable
messaging
system
quality-related
issues
to
the
subscribers.
We
classify
WaterQualityTweets
dataset,
our
newly
collected
collection,
in
two
phases.
first
phase,
tweets
are
classified
into
classes
(water
or
not).
second
four
(color,
illness,
odor/taste,
unusual
state).
best
performance
results
BERT
CNN,
respectively,
binary
multi-class
classification.
Also,
these
sent
different
subscribers
via
topic-based
with
their
location
timing
information.
Depending
on
topics
that
online
users
interested
in,
some
spreads
faster
than
others.
also
predict
diffusion
understand
issues’
spreading.
time
effort
required
manual
comments
obtained
through
crowd-sourcing
techniques
will
significantly
decline
result
automatic
issues.