Analyzing and Simulating the Influence of a Water Conveyance Project on Land Use Conditions in the Tarim River Region
Jinyao Lin,
No information about this author
Qitong Chen
No information about this author
Land,
Journal Year:
2023,
Volume and Issue:
12(11), P. 2073 - 2073
Published: Nov. 18, 2023
Arid
and
semi-arid
areas
are
facing
severe
land
degradation
desertification
due
to
water
scarcity.
To
alleviate
these
environmental
issues,
the
Chinese
government
has
launched
a
“water
conveyance”
project
for
protection
along
Tarim
River.
While
previous
studies
have
mainly
focused
on
conditions,
influence
of
policies
use
conditions
remains
less
explored.
Therefore,
this
study
first
simulated
cover
(LULC)
changes
in
major
city
(Korla)
around
We
found
that
conveyance
routes
exerted
notable
influences
surrounding
LULC
changes.
Next,
we
primarily
among
different
reaches
forest
lower
increased
at
expense
slight
decrease
such
upper
middle
reaches,
which
suggests
policy
may
also
unintended
consequences.
These
findings
could
attract
attention
decision
makers
many
other
arid
areas,
they
provide
practical
implications
similar
inter-basin
projects.
The
benefits
risks
man-made
projects
should
be
carefully
balanced.
Language: Английский
Mitigating Urbanization Rate through Rural Electrification: Insights from the Pilot Mini-grid Systems in Ghana
Next research.,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100361 - 100361
Published: April 1, 2025
Language: Английский
Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City
Hui Li,
No information about this author
Haitao Jing,
No information about this author
Geding Yan
No information about this author
et al.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(15), P. 11866 - 11866
Published: Aug. 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.
Language: Английский
How to Coordinate the Relationship between Urban Space Exploitation, Economic Development, and Ecological Environment: Evidence from Henan Province, China
Xiaotong Xie,
No information about this author
Kunlin Wu,
No information about this author
Yingchao Li
No information about this author
et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 537 - 537
Published: April 17, 2024
With
the
rapid
development
of
urbanization,
China
is
facing
problems,
such
as
uncoordinated
regional
development,
imbalanced
land
space
and
ecological
environment
pollution.
This
poses
a
huge
threat
to
sustainable
China’s
economy
society.
Therefore,
there
an
urgent
need
determine
how
coordinate
relationship
between
exploitation,
economic
(SEE)
urban
areas.
In
this
study,
taking
Henan
Province
example,
long
time-series
data
(2000–2020)
were
used,
at
city
scale.
Then,
we
developed
logical
framework
reveal
interrelationship
intrinsic
mechanism
SEE.
Next,
explored
spatiotemporal
coupling
characteristics
SEE
using
linear
weighting
method
coordination
analysis.
We
found
that,
from
2000
2020,
comprehensive
level
showed
obvious
trend
change,
different
cities
have
degrees.
However,
overall
steadily
developing
tending
improve.
Furthermore,
with
spatial
autocorrelation
method,
analyzed
correlation
patterns
collaboration/trade-off
relationships
for
Through
analysis,
positive
types
(HH,
LL)
cluster
significantly
negative
(HL,
LH)
low
clustering.
Meanwhile,
significant
differences
in
cooperation/trade-off
years.
research
can
serve
reference
methodological
guidance
achieving
economy,
space,
environment.
Language: Английский
Sustainable Development of Production–Living–Ecological Spaces: Insights from a 30-Year Remote Sensing Analysis
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9585 - 9585
Published: Nov. 4, 2024
The
rapid
pace
of
urbanization
and
industrialization
has
reshaped
land
use
patterns
globally,
particularly
within
the
interconnected
domains
‘production,
living,
ecological
spaces’
(PLES).
Understanding
spatiotemporal
evolution
these
spaces
is
crucial
for
guiding
sustainable
development.
Although
a
number
previous
studies
have
explored
aspects
their
dynamics
driving
factors,
further
investigation
needed
to
fully
understand
long-term
broader
influences
socio-economic
environmental
forces.
This
study
aims
fill
that
important
gap
by
leveraging
advanced
remote
sensing
techniques
analyze
PLES
transformations
over
30-year
period.
Using
Henan
Province,
China,
as
testbed,
this
applies
high-resolution
Landsat
data,
transition
matrices,
dynamic
degree
analysis,
Principal
Component
Analysis
(PCA),
multiple
linear
regressions
uncover
trends
underlying
drivers.
results
reveal
substantial
reduction
in
production
3394.62
km²
steady
growth
living
4459.41
complex,
non-linear
changes
spaces,
which
decreased
1067.43
km².
Key
forces,
such
economic
growth,
urbanization,
fiscal
policies
are
identified
discussed.
These
insights
provide
robust
framework
planning,
with
implications
rapidly
urbanizing
regions
worldwide.
Language: Английский