Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI
Ecological Indicators,
Год журнала:
2025,
Номер
170, С. 113064 - 113064
Опубликована: Янв. 1, 2025
Язык: Английский
A remote sensing based index for assessing long-term ecological impact in arid mined land
Dantong Meng,
Nisha Bao,
Kaiwusha Tayier
и другие.
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
22, С. 100364 - 100364
Опубликована: Фев. 16, 2024
Large-scale
mining
operations
in
western
China
would
accelerate
the
fragility
and
degradation
to
arid
ecological
environments.
Remotely
sensed
monitoring
assessing
of
effects
long
term
change
could
provide
sound
understanding
guide
mine
restoration
local
ecosystem
sustainability.
This
study's
primary
goal
is
develop
an
mined
land
status
(AMLS)
index
based
on
remote
sensing
data
assess
areas
land.
Furthermore,
performance
AMLS
was
contrasted
with
that
(RSEI)
surface
composition
(LSESCI)
mines
under
various
landscapes
conditions.
Eventually,
Sen
+
Mann–Kendall
method
used
analyze
temporal
spatial
variations
effect
between
2005
2020
Landsat
time-series
images.
The
following
revealed
by
results:
(1)
had
high
correlation
(r
>
0.65)
each
factor,
including
bare
soil
flatness,
dryness,
temperature,
slope.
(2)
Comparing
LSESCI
RSEI,
proposed
characterize
area
surrounding
natural
rock
different
levels
three
mines,
hence
indicated
directional
heterogeneity
distance
attenuation
status.
(3)
Based
time
series
data,
demonstrated
long-term
variability
from
due
reclamation
mines.
Язык: Английский
Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City
Sustainability,
Год журнала:
2023,
Номер
15(15), С. 11866 - 11866
Опубликована: Авг. 2, 2023
The
quality
of
the
ecological
environment
determines
human
well-being,
and
degree
has
a
significant
impact
on
regional
sustainable
development.
Currently,
assessment
content
in
Luoyang
is
relatively
single-indicator-based
insufficient
to
comprehensively
reflect
changes
city.
Therefore,
study
aims
use
Remote
Sensing
Ecological
Index
(RSEI),
comprehensive
evaluation
model,
with
Landsat
remote
sensing
images
statistical
yearbooks
as
data
sources,
evaluate
spatiotemporal
dynamic
city
from
2002
2022
through
trend
analysis
mutation
testing;
employs
geographical
detectors
analyze
driving
factors
about
quality.
found
that:
(1)
average
RSEI
value
increased
by
0.102
past
20
years,
indicating
an
overall
improvement
(2)
northern
region
area
lower
values,
while
southern
better
quality,
which
corresponds
fact
that
part
intensive
activities,
characterized
higher
vegetation
coverage
mountainous
areas.
(3)
proportion
areas
medium
above
grades
have
47.2%
67.5%,
positive
future
changes.
(4)
population
change
was
strongest
single
factor
influencing
interaction
between
temperature
GDP
strongest.
current
status
result
combined
effects
natural
anthropogenic
factors.
research
conclusions
contribute
improving
are
great
significance
for
planning
achievement
development
goals.
Язык: Английский