Dynamic assessment of eco-environmental quality in Xiong’an new area, China using WB-RSEI new model
Yinqiao Zhou,
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Wei Cao,
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Jiandong Zhou
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et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 4, 2025
Language: 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,
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Yuqiao Zhao,
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Hui Xu
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et al.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(20), P. 6560 - 6560
Published: Oct. 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
Language: Английский
Spatial and Temporal Matching Measurement of Ecosystem Service Supply, Demand and Human Well-Being and Its Coordination in the Great Rivers Economic Belt—Evidence from China’s Yangtze River Economic Belt
Zhijun Luo,
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Songkai Luo,
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F. Zhang
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7487 - 7487
Published: Aug. 29, 2024
Understanding
the
complex
relationship
between
ESSD
and
human
well-being
is
of
paramount
significance
to
protecting
regional
ecology,
enhancing
achieving
sustainable
development.
We
take
Yangtze
River
Economic
Belt
as
an
example
use
multi-source
data
analyse
land
cover
change,
well
spatiotemporal
evolution
well-being.
explore
reveal
coupling
coordination
The
results
show
that
from
2000
2020,
overall
trend
in
ESs
region
improved
significantly,
supply
notably
increased,
whereas
demand
growth
rate
was
even
more
pronounced.
supply–demand
ratio
for
water
yield
soil
conservation
showed
little
with
variations
<10%.
However,
carbon
sequestration
declined
significantly
by
41.83%,
food
increased
42.93%.
spatial
pattern
presented
a
mismatch,
which
characterised
‘low
high
eastern
low
western
region’.
Overall,
remained
stable
line
level
socio-economic
development,
thereby
exhibiting
distinct
‘polarisation
rich
poor’.
Well-being
higher
central
urban
agglomerations
lower
plateau
mountainous
areas.
Over
20
years,
degree
0.0107,
gradually
transitioned
moderate
imbalance
coordination.
Spatially,
Hubei
Province,
Chongqing
Municipality
Delta
were
main
‘high–high’
agglomeration
areas,
Sichuan
Basin
Yunnan-Guizhou
Plateau
‘low–low’
Based
on
these
findings,
we
propose
following
management
recommendations
other
related
great
river
economic
belts:
optimise
structure,
rationally
allocate
natural
resources,
strengthen
external
connections
promote
coordinated
enhance
implementation
policies
ecological
environmental
protection,
establish
compensation
mechanisms
coordinate
protection
full
scope
focus
harmonising
human–land
relationships,
build
multi-stakeholder
collaborative
governance
mechanism
elevation
Language: Английский