Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Oct. 16, 2023
Traditional
linear
regression
and
neural
network
models
demonstrate
suboptimal
fit
lower
predictive
accuracy
while
the
quality
of
electrolytic
copper
is
estimated.
A
more
dependable
accurate
model
essential
for
these
challenges.
Notably,
maximum
information
coefficient
was
employed
initially
to
discern
non-linear
correlation
between
nineteen
factors
influencing
five
control
indicators.
Additionally,
random
forest
algorithm
elucidated
primary
governing
quality.
hybrid
model,
integrating
particle
swarm
optimization
with
least
square
support
vector
machine,
devised
predict
based
on
factors.
Concurrently,
a
combining
relevance
machine
developed,
focusing
The
outcomes
indicate
that
identified
principal
quality,
corroborated
by
analysis
via
coefficient.
when
accounting
all
factors,
comparable
optimization-least
surpassed
both
conventional
models.
error
forest-relevance
notably
less
than
sole
index
being
under
5%.
intricate
variation
pattern
influenced
numerous
unveiled.
advanced
circumvents
deficiencies
seen
in
findings
furnish
valuable
insights
management.
Water,
Journal Year:
2024,
Volume and Issue:
16(3), P. 420 - 420
Published: Jan. 27, 2024
Optimizing
the
land
use
structure
is
one
of
most
effective
means
improving
surface
water
aquatic
environment.
The
relationship
between
patterns
and
quality
complex
due
to
influence
dams
sluices.
To
further
investigate
impact
on
in
different
basins,
we
Shaying
River
as
an
example,
which
a
typical
tributary
Huai
Basin.
Utilizing
2020
data
monitoring
from
two
periods,
this
study
employs
GIS
spatial
analysis,
Random
Forest
Model,
redundancy
Partial
Least-Squares
Regression
quantitatively
explore
how
different-scale
buffer
zone
quality.
key
findings
include:
(1)
notable
seasonal
differences
indicators
within
basin.
Water
Quality
Index
(WQI)
significantly
better
non-flood
season
compared
flood
season,
with
deteriorating
towards
lower
reaches.
Key
affecting
include
dissolved
oxygen
(DO),
ammonia
nitrogen
(NH3-N),
total
phosphorus
(TP),
turbidity
(Tur)
NH3-N,
permanganate
index
(CODMn),
electrical
conductivity
(EC)
season.
(2)
Cultivated
construction
are
main
uses
sub-basin
was
identified
scale
for
River.
(3)
(PLSR)
analysis
revealed
that
cultivated
land,
grass
primary
types
influencing
changes,
PLSR
model
during
lands
show
positive
correlation
indicators,
while
forest
bodies,
grasslands
correlate
positively
DO
negatively
other
indicators.
underscores
rational
planning
crucial
enhancing
Water,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1509 - 1509
Published: May 24, 2024
This
paper
analyses
the
effects
of
environmental
flows
on
water
quality
within
a
highly
regulated
basin,
focusing
Turia
River
basin
in
eastern
Iberian
Peninsula.
Through
management
and
models,
series
simulations
were
conducted,
introducing
variations
outflows
Loriguilla
reservoir
to
evaluate
different
flow
scenarios
quality,
particularly
at
location
intake
for
supply
Valencia.
Three
analyzed,
alongside
an
alternative
scenario,
considering
their
implications
reliability
demand.
The
findings
this
paper,
nitrate
(NO3−)
concentration
evolution,
highlight
influence
minimum
e-flow
regimes
basin.
These
results
suggest
that
while
modifying
current
regime
can
lead
some
improvements
concentrations
Valencia
point,
primary
cause
high
is
attributed
irrigation
return
pre-existing
contamination
aquifer.
analysis
offers
valuable
insights
into
complexities
basins,
emphasizing
need
multi-faceted
approach
address
diverse
factors
influencing
demand
reliability.
Environmental and Sustainability Indicators,
Journal Year:
2024,
Volume and Issue:
22, P. 100366 - 100366
Published: Feb. 28, 2024
In
recent
years,
landscape
pattern
optimization
has
been
regarded
as
a
cutting-edge
science
in
various
fields,
and
basin
hydrology
is
no
exception.
Its
effect
on
water
purification
also
focused
on.
Based
the
analysis
of
land
use
types
patterns
Danjiangkou
Reservoir
Basin,
combined
with
determination
quality
indicators
relationship
between
spatial
Landscape
Morphology
was
studied;
It
found
that
among
basic
characteristic
many
basins,
main
influencing
factors
high
Variable
importance
for
projection
(VIP>1)
are
IJI
(Interspersion
Juxtaposition
Index),
COHE
(Patch
Cohesion
AI
(Aggregation
PD
Density),
ED
(Edge
Density);
Using
PLSR
(Partial
Least
Squares
Regression)
analysis,
were
discussed.
there
significant
negative
regression
(Rc
<
0)
CODMn
(permanganate
index),
TP
(Total
Phosphorus),
TN
Nitrogen)
NH4+-N
(ammonia
nitrogen)
basin,
topographic
humidity
index,
relief,
slope,
forest
area;
The
patch
connectivity
index
used
to
determine
ecological
source
areas
reservoir
have
improved
need
be
protected;
priority
corridor
construction
protection
determined;
With
help
minimum
cumulative
resistance
model,
sources
constructed;
grips
identified.
order
provide
technical
support
configuration
purpose
area.
