Mapping land- and offshore-based wind turbines in China in 2023 with Sentinel-2 satellite data
Tingting He,
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Yihua Hu,
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Fashuai Li
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et al.
Renewable and Sustainable Energy Reviews,
Journal Year:
2025,
Volume and Issue:
214, P. 115566 - 115566
Published: March 1, 2025
Language: Английский
Pilot Free Trade Zone and Biodiversity: Evidence From Birding Records in China
Zhao Liu,
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Yuteng Yao,
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Yuping Shang
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et al.
International Journal of Finance & Economics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
ABSTRACT
Biodiversity
is
the
foundation
for
human
survival
and
development.
Based
on
birdwatching
data,
this
paper
describes
bird
species
richness
of
Chinese
regions.
Furthermore,
empirically
examines
relationship
between
China
pilot
free
trade
zone
(PFTZ)
biodiversity.
The
results
show
that
establishment
PFTZs
promoted
protection
effects
PFTZ
biodiversity
are
heterogeneous,
there
significant
differences
in
promotion
effect
different
orders.
has
enhanced
by
promoting
reduction
industrial
pollution,
construction
urban
environmental
infrastructure,
increasing
green
area
enhancing
public
awareness
protection.
does
not
have
a
radiation
surrounding
areas.
This
study
provides
an
important
basis
understanding
policy
references
government
to
formulate
policies
promote
coordinated
development
opening
up
ecological
Language: Английский
From Fine to Feathers: Enforcement Stringency, Protectionism, and Biodiversity
P.-Z. Li,
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Yongsheng Xu,
No information about this author
Luping Yu
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et al.
Published: Jan. 1, 2024
Language: Английский
Maximum Entropy Method for Wind Farm Site Selection: Implications for River Basin Ecosystems Under Climate Change
Water,
Journal Year:
2024,
Volume and Issue:
16(24), P. 3679 - 3679
Published: Dec. 20, 2024
As
the
global
shift
from
fossil
fuels
to
Paris
Agreement
has
accelerated,
wind
energy
become
a
key
alternative
hydroelectric
power.
However,
existing
research
often
needs
improve
in
integrating
diverse
environmental,
economic,
and
climate-related
variables
when
modeling
potential,
particularly
under
future
climate
change
scenarios.
Addressing
these
gaps,
this
study
employs
maximum
entropy
(MaxEnt)
method,
robust
innovative
tool
for
spatial
modeling,
identify
optimal
farm
sites
Türkiye.
This
advances
site
selection
methodologies
enhances
predictive
accuracy
by
leveraging
comprehensive
dataset
incorporating
The
results
indicate
that
89%
of
current
licensed
projects
will
maintain
compliance
future,
while
8%
see
decrease
compliance.
Furthermore,
potential
Türkiye
is
expected
increase
because
change.
These
confirm
suitability
project
locations
new
high-potential
areas
sustainable
development.
provides
policymakers,
investors,
developers
actionable
insights
optimize
integration
into
national
portfolio,
supporting
goals
accelerating
adoption
renewable
sources.
Language: Английский