Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1334 - 1334
Published: Feb. 5, 2024
Pollution
control
is
of
great
value
in
order
to
achieve
sustainable
development
and
meet
the
needs
human
development.
This
paper
utilizes
data
from
four
rounds
longitudinal
surveys
conducted
between
2012
2018
as
part
China
Labor
Force
Dynamic
Survey.
Employing
multiple
linear
regression
methods,
it
empirically
investigates
impact
pollution
on
well-being
rural
residents.
Empirical
results
show
that
even
after
accounting
for
individual,
village,
family
characteristics,
significantly
affects
happiness
Notably,
water
emerges
having
most
pronounced
residents’
happiness.
Furthermore,
enhances
residents
by
improving
village
environment,
fostering
harmony,
enhancing
physical
mental
health
individuals.
A
heterogeneity
analysis
indicates
exerts
a
stronger
influence
central
western
region
ordinary
villages,
while
its
somewhat
weaker
eastern
region.
Addressing
issue
remains
imperative,
along
with
stimulating
endogenous
drivers
ecological
revitalization,
effectiveness
grassroots
governance
areas,
continually
bolstering
sense
among
populace.
Journal of Marine Science and Engineering,
Journal Year:
2025,
Volume and Issue:
13(3), P. 539 - 539
Published: March 11, 2025
In
order
to
cope
with
the
extremely
difficult
challenges
of
water
pollution
control,
China
has
widely
implemented
river
chief
system.
The
quality
monitoring
surface
environment,
as
a
solid
defense
line
safeguard
human
health
and
ecosystem
balance,
is
great
importance
in
As
well-known
island
county
China,
Yuhuan
City
holds
even
more
precious
resources.
Leveraging
machine
learning
technology
develop
prediction
models
significance
for
enhancing
evaluation
environment
quality.
This
case
study
aims
evaluate
effectiveness
six
predicting
index
(CWQI)
uses
SHAP
(Shapley
Additive
exPlans)
an
interpretability
analysis
method
deeply
analyze
contribution
each
variable
model’s
results.
research
results
show
that
all
exhibited
good
performance
CWQI,
number
significantly
correlated
variables
input
increased,
accuracy
also
showed
gradual
improvement
trend.
Under
optimal
combination,
Extreme
Gradient
Boosting
model
demonstrated
best
performance,
root
mean
square
error
(RMSE)
0.7081,
absolute
(MAE)
0.4702,
adjusted
coefficient
determination
(Adj.R2)
0.6400.
Through
analysis,
we
found
concentrations
TP
(total
phosphorus),
NH3-N
(ammonia
nitrogen),
CODCr
(chemical
oxygen
demand)
have
significant
impact
on
CWQI
City.
implementation
system
not
only
enhances
pertinence
management,
but
provides
richer
accurate
data
support
models,
further
improving
reliability
models.
Concern
over
the
contamination
of
freshwater
ecosystems
with
carbon
black
(CB)
is
increasing.
Here,
toxicity
CB
to
phytoplankton
(Chlorella
pyrenoidosa)
was
evaluated;
upon
exposure,
median
effective
concentration
for
72
h
23.4
mg/L.
underwent
significant
photooxidation
during
15
days
light
irradiation,
although
phototransformation
generally
completed
by
day
7.
Algal
growth
inhibition
induced
phototransformed
(TCB)
at
1
mg/L
64.1%
greater
than
that
parent
CB.
Mechanistically,
1)
triggered
release
highly
toxic
byproducts,
which
inhibited
algal
18.9%;
2)
metabolomic
results
demonstrate
suppression
and
nitrogen
assimilation
in
cells
TCB
13.2-53.7%
CB;
3)
exhibited
reactive
oxygen
species
production
ability,
more
membrane
damage.
A
full-factorial
experiment
(26+1
runs)
showed
combined
effect
temperature
suspended
mineral
particles,
as
well
electrical
conductivity,
primary
environmental
factor
mediated
toxicity,
respectively.
The
predicted
Taihu
Lake
regional
distribution,
posed
a
risk
aquatic
These
findings
highlight
importance
particulate
contaminant
transformation
factors
when
evaluating
their
risk.
