Waste Management & Research The Journal for a Sustainable Circular Economy,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 30, 2024
Continuous
emission
monitoring
system
is
commonly
employed
to
monitor
NOx
emissions
in
municipal
solid
waste
incineration
(MSWI)
processes.
However,
it
still
encounters
the
challenges
of
regular
maintenance
and
measurement
lag.
These
issues
significantly
impact
accurate
stable
control
emissions.
Therefore,
developing
a
soft
sensor
complement
hardware
becomes
imperative.
Considering
data
noise,
dynamic
nonlinearity,
time
series
characteristics
volatility
MSWI
process,
this
article
introduces
model
for
prediction
utilizing
complete
ensemble
empirical
mode
decomposition
adaptive
noise
(CEEMDAN)-wavelet
threshold
(WT)
method
bidirectional
long
short-term
memory
(Bi-LSTM).
Firstly,
original
signal
decomposed
into
group
intrinsic
functions
(IMFs)
using
CEEMDAN.
Subsequently,
WT
processes
high-frequency
IMFs
that
are
noise-dominant.
Then,
all
reconstructed
obtain
denoized
signal.
Finally,
Bi-LSTM
predict
Compared
conventional
modelling
approaches,
proposed
demonstrates
best
predictive
performance.
The
mean
absolute
percentage
error,
root-mean-squared
error
average
on
test
set
3.75%,
5.34
mg
m
−3
4.34
,
respectively.
provides
new
sensing
It
holds
significant
practical
value
precise
reference
research
key
process
parameters.
Sustainable Cities and Society,
Год журнала:
2024,
Номер
112, С. 105597 - 105597
Опубликована: Июнь 20, 2024
Climate
changes
have
led
to
increasing
global
energy
consumption,
detrimental
the
sustainable
development
of
society.
Urban
blue-green
infrastructure
(UBGI)
can
improve
urban
microclimate.
However,
influence
intensity
UBGI
on
microclimate
has
not
been
quantified
deeply
use
efficiency
water
and
greenery
resources.
To
solve
research
deficiencies,
this
study
numerically
simulated
for
44
scenarios
with
different
resource
configurations
(various
body
areas
coverages)
in
summer.
Based
simulations,
developed
novel
mathematical
models
thermo-environment
(BGTE)
quantify
UBGI.
The
results
indicated
that
daytime
synergies
first
increased
then
decreased
time.
significance
time
(t),
area
(Sw),
tree
coverage
rate
(TCR),
shrub
(SCR),
grassland
(GLCR)
synergy
was
by
artificial
neural
network:
t
(39.4%),
Sw
(22.6%),
TCR
(22.0%),
SCR
(13.2%),
GLCR
(2.8%).
make
overall
effect
relatively
efficient,
should
be
less
than
10000
m2,
greater
65%,
close
15%.
This
provides
practical
ideas
efficient
Frontiers in Earth Science,
Год журнала:
2025,
Номер
13
Опубликована: Фев. 12, 2025
The
paper
presents
a
detailed
statistical
analysis
of
data
from
41
hydrometric
stations
along
the
Danube
(section
in
Carpathian
Basin)
and
its
longest
tributary,
Tisza
River.
Most
records
cover
2–3
decades
with
an
automated
high
temporal
sampling
frequency
(15
min),
few
span
120
years
daily
or
half-daily
records.
is
not
even
exhibits
strong
irregularities.
demonstrates
that
cubic
spline
fits
down-sampling
(where
necessary)
produce
reliable,
evenly
sampled
time
series
smoothly
reconstruct
water
level
river
discharge
data.
Almost
all
indicate
decadal
decreasing
trend
for
annual
maximum
values.
timing
(day
year)
maxima
minima
evaluated.
While
minimum
values
do
show
coherent
tendencies,
exhibit
increasing
trends
but
(earlier
onset).
Various
possibilities
explanations
these
observations
are
listed.
empirical
histograms
changes
can
be
well-fitted
by
piecewise-exponential
functions
containing
four
three
sections,
consistent
understanding
deterministic
rather
than
stochastic
processes,
as
well
known
hydrology.
Such
tests
serve
benchmarks
modeling
levels
discharges.
Extracted
periods
Lomb-Scargle
algorithm
(suitable
unevenly
series)
long-time
means
expected
seasonality.
Resampled
(1-hour
frequency)
were
evaluated
standard
Fourier
Welch
procedures,
revealing
some
secondary
peaks
spectra
indicating
quasi-periodic
components
signals.
Further
significance
progress,
attempts
at
explanations.
Secondary
may
environmental
changes,
future
investigation
which
could
reveal
important
correlations.
