The Optimization of River Network Water Pollution Control Based on Hydrological Connectivity Measures
Water,
Год журнала:
2025,
Номер
17(2), С. 197 - 197
Опубликована: Янв. 13, 2025
Urbanization,
driven
by
socio-economic
development,
has
significantly
impacted
river
ecosystems,
particularly
in
plain
city
regions,
leading
to
disruptions
network
structure
and
function.
These
changes
have
exacerbated
hydrological
fluctuations
ecological
degradation.
This
study
focuses
on
the
central
urban
area
of
Changzhou
using
a
MIKE11
model
assess
effects
four
connectivity
strategies—water
diversion
scheduling,
connectivity,
dredging,
sluice
connectivity—across
13
different
scenarios.
The
results
show
that
water
diversion,
scenarios
provide
greatest
improvements
environmental
capacity,
with
maximum
increases
54.76%,
41.97%,
25.62%,
respectively.
spatial
distribution
reveals
significant
regional
variation,
some
areas,
Tianning
Zhonglou
districts,
experiencing
declines
capacity
under
river-connectivity
In
addition,
Lao
Zaogang
River
is
identified
as
crucial
for
improving
overall
quality
network.
Based
multi-objective
evaluation,
combining
economic
factors,
recommends
optimizing
scheduling
at
sluices
(Weicun,
Zaogang,
Xiaohe)
flow
rates
between
20–40
m3/s,
enhancing
key
hubs,
focusing
management
efforts
Xinmeng
rivers
strengthen
linkages
within
Язык: Английский
Watershed landscape characteristics and connectivity drive river water quality under seasonal dynamics
Yaotao Xu,
Peng Li,
Fangming Ma
и другие.
Journal of Cleaner Production,
Год журнала:
2024,
Номер
473, С. 143533 - 143533
Опубликована: Авг. 31, 2024
Язык: Английский
Analysis of Ecological Environment in the Shanxi Section of the Yellow River Basin and Coal Mining Area Based on Improved Remote Sensing Ecological Index
Huabin Chai,
Yuqiao Zhao,
Hui Xu
и другие.
Sensors,
Год журнала:
2024,
Номер
24(20), С. 6560 - 6560
Опубликована: Окт. 11, 2024
As
a
major
coal-producing
area,
the
Shanxi
section
of
Yellow
River
Basin
has
been
significantly
affected
by
coal
mining
activities
in
local
ecological
environment.
Therefore,
an
in-depth
study
evolution
this
region
holds
great
scientific
significance
and
practical
value.
In
study,
Basin,
including
its
planned
was
selected
as
research
subject.
An
improved
remotely
sensed
index
model
(NRSEI)
integrating
(RSEI)
net
primary
productivity
(NPP)
vegetation
constructed
utilizing
Google
Earth
Engine
platform.
The
NRSEI
time
series
data
from
2003
to
2022
were
calculated,
Sen
+
Mann-Kendall
analysis
method
employed
comprehensively
assess
environment
quality
evolutionary
trends
area.
findings
paper
indicate
following
data:
(1)
contribution
first
principal
component
is
more
than
70%,
average
correlation
coefficient
higher
0.79.
effectively
integrates
information
multiple
indicators
enhances
applicability
regional
evaluation.
(2)
Between
2022,
showed
overall
upward
trend,
with
value
experiencing
phases
fluctuation,
increase,
decline,
stabilization.
values
non-coal
areas
consistently
remained
those
areas.
(3)
Over
60%
have
conditions,
especially
(4)
impact
on
significant
within
6
km
radius,
while
effects
gradually
diminish
10
range.
This
not
only
offers
reliable
methodology
for
evaluating
large
scale
over
long
but
also
guiding
restoration
sustainable
development
Язык: Английский
Study on the Evolution of the Mountain Ecological Environment Based on Remote Sensing and Water Footprints: Case Study of Northwestern Sichuan, Southwest China
Remote Sensing,
Год журнала:
2024,
Номер
16(23), С. 4412 - 4412
Опубликована: Ноя. 25, 2024
The
unique
geographical
conditions
in
southwestern
China
lead
to
a
fragile
ecological
balance
and
uneven
distribution
of
water
resources.
This
study
takes
the
Aba
Tibetan
Qiang
Autonomous
Prefecture
as
its
research
subject,
investigating
connection
between
resources
environment
Prefecture,
which
is
paramount
importance.
Given
this,
current
constructs
remote
sensing
index
footprint
for
period
spanning
from
2000
through
2020,
analyses
coordination
status
two
by
using
coupling
degree,
then
combines
it
with
detector
determine
primary
drivers
impacting
state
environment.
outcomes
reveal
that:
(1)
gradually
improved
excellent
area
observed
within
study’s
scope
primarily
focused
eastern
part.
poor
mainly
northwestern
part
scope.
(2)
total
has
increased
year
year,
agricultural
consumption
comprising
an
immense
78%
proportion,
dominating
footprint.
(3)
coupled
degree
shows
rising
trend
general,
turning
barely
coordinated
stage
intermediate
stage.
(4)
geodetector
results
show
that
all
factor
interactions
were
dual-factor
enhancement
or
nonlinear
enhancement,
WET,
NDBSI
NDVI
factors
contributed
most.
above
can
provide
important
guidance
utilizing
protecting
Prefecture.
Язык: Английский