Water,
Journal Year:
2024,
Volume and Issue:
16(13), P. 1879 - 1879
Published: June 30, 2024
This
study
investigates
enclosed
water
bodies
to
understand
the
intricate
interactions
among
physical,
chemical,
and
biological
processes.
A
one-dimensional
model,
integrating
sediment
ecosystem
components,
was
developed
analyze
oxygen
depletion,
nutrient
dynamics,
influence
of
organic
matter
on
concentrations
due
stratification.
Oxygen
were
derived
by
combining
results
from
a
vertical
diffusion
model
with
model.
The
dissolution,
adsorption,
desorption
inorganic
substances
in
bottom
mud
react
differently
under
anaerobic
aerobic
conditions,
necessitating
separate
formulations
for
reduction
oxidation
reactions
In
Lake
Biwa,
Japan’s
largest
lake,
dissolved
levels
have
decreased
despite
regulatory
efforts
since
1970s,
prompting
an
investigation
into
causes
oxygen-depleted
masses.
thus
applied
examine
consumption
Biwa’s
deep
sediments,
shedding
light
anoxia
bodies.
emphasizes
significance
sediments
quality
models
their
implications
ecosystems.
Furthermore,
adaptive
nature
this
allows
its
application
various
bodies,
including
freshwater
reservoirs,
lakes,
saltwater
bays.
Water,
Journal Year:
2024,
Volume and Issue:
16(10), P. 1362 - 1362
Published: May 11, 2024
The
accuracy
of
water
quality
prediction
and
assessment
has
always
been
the
focus
environmental
departments.
However,
due
to
high
complexity
systems,
existing
methods
struggle
capture
future
internal
dynamic
changes
in
based
on
current
data.
In
view
this,
this
paper
proposes
a
data-driven
approach
combine
an
improved
deep
belief
network
(DBN)
long
short-term
memory
(LSTM)
model
for
assessment,
avoiding
constructing
mechanism
quality.
Firstly,
using
Gaussian
Restricted
Boltzmann
Machines
(GRBMs)
construct
DBN,
better
ability
extract
continuous
data
features
compared
classical
DBN.
Secondly,
extracted
time-series
are
input
into
LSTM
improve
predicting
accuracy.
Finally,
errors,
noise
that
randomly
follows
distribution
is
added
results
predicted
values,
probability
being
at
level
calculated
through
multiple
evolutionary
computations
complete
assessment.
Numerical
experiments
have
shown
our
proposed
algorithm
greater
algorithms
challenging
scenarios.
