Analyzing the dynamic changes and causes of greenspace landscape patterns in Beijing plains
Ecological Indicators,
Год журнала:
2024,
Номер
158, С. 111556 - 111556
Опубликована: Янв. 1, 2024
Beijing
Plain
is
an
important
region
for
ecological
planning
and
management.
In
the
past
decade,
human
activities
have
dramatically
changed
spatial
landscape
patterns
of
greenspaces
in
Plains.
However,
very
few
studies
assessed
main
causative
factors
these
changes.
Herein,
we
analyzed
Plains
between
2015
2020
using
multi-source
remote
sensing
data,
geographical
information
system,
pattern
index.
Additionally,
utilized
gray
correlation
analysis
to
quantitatively
analyze
contributing
dynamic
changes
greenspace
patterns.
We
found
that
showed
a
gradual
increase
annually
from
2020.
Further,
conversion
types
throughout
study
period
mainly
included
interconversion
woodland
cropland,
water,
impervious
surfaces.
The
transfer
out
woodlands
has
been
decreasing
while
increasing.
Grassland
shrubs
were
almost
entirely
converted
into
other
land
use
types.
fragmentation
overall
reduced,
aggregation
increased,
patches
tended
be
fully
distributed,
connected,
simpler,
concentrated,
regular.
advantages
landscapes
gradually
becoming
more
evident.
Population
urbanization,
rapid
economic
growth,
policies
affecting
findings
provide
scientific
reference
adjust
structure,
transform
upgrade
existing
greenspaces,
ensure
sustainable
development
cities.
Язык: Английский
Diagnosis and Assessment of Vulnerability Levels for Urban Sewage Pipeline Network System
Water,
Год журнала:
2025,
Номер
17(4), С. 549 - 549
Опубликована: Фев. 14, 2025
Long-distance
sewerage
network
systems
have
serious
vulnerabilities,
specifically
pipeline
blockage,
leakage,
sedimentation,
mixed
connection,
and
other
problems.
A
vulnerability
evaluation
system
for
a
sewage
was
established
in
this
study
with
the
comprehensive
consideration
of
three
aspects:
basic
attributes
network,
operation
maintenance
(O&M)
drivers,
structural
level.
First,
we
obtained
indicators
through
data
collection
preliminary
selection
screening
indicators.
The
extent
importance
each
criterion
level
to
clarified
principal
component
analysis
(PCA),
attribute
being
per
capita
GDP
(X3)
urbanization
rate
(X5),
O&M-driven
daily
wastewater
treatment
volume
(X7)
industrial
discharge
(X8),
structural-level
pipe
diameter
(X13)
flow
capacity
(X15).
Qingshanhu
District,
Jiangxi
province,
taken
as
an
example
diagnosing
evaluating
vulnerability.
Using
ranking
size
PCA
analytic
hierarchy
process
(AHP)
indicators,
hierarchical
structure
model
established.
value
by
weighting
results
scores
indicator.
values
attributes,
were
58.38,
68.67,
73.17,
which
corresponded
levels
III,
II,
respectively.
Язык: Английский
Deciphering advanced coagulation strategies for AGMBR membrane fouling control: Comparative analysis of five inorganic/modified microbial flocculant systems
Process Safety and Environmental Protection,
Год журнала:
2025,
Номер
unknown, С. 107186 - 107186
Опубликована: Апрель 1, 2025
Язык: Английский
Towards Sustainable Industry: A Comprehensive Review of Energy–Economy–Environment System Analysis and Future Trends
Sustainability,
Год журнала:
2024,
Номер
16(12), С. 5085 - 5085
Опубликована: Июнь 14, 2024
Industry,
encompassing
various
sectors
like
agriculture,
manufacturing,
and
services,
is
crucial
for
economic
growth
societal
progress.
However,
industrial
often
comes
at
the
cost
of
environmental
degradation
energy
resource
depletion,
ignoring
need
sustainable
development.
This
study
analyzed
131
articles
published
from
2004
to
2023,
using
energy–economy–environment
(3E)
method
explore
research
trends.
The
primary
focus
3E
on
impact
development,
particularly
related
consumption.
field
covers
topics
systems,
efficiency,
optimization,
others.
LCA
methods
system
dynamics
models
are
commonly
used
in
innovation.
summarizes
main
viewpoints
highlights
future
directions
priorities,
including
transitions
areas
fisheries,
renewable
combining
evaluation
prediction
with
methods,
conducting
large-scale
research,
examining
coupling
relationships
within
between
systems.
Язык: Английский
Environmental regulation, innovation choices, and agricultural green total factor productivity under a multi-regulatory perspective
Environmental Science and Pollution Research,
Год журнала:
2024,
Номер
31(32), С. 45117 - 45137
Опубликована: Июль 3, 2024
Язык: Английский
Can the green credit policy achieve synergizing the reduction of pollution and carbon emissions? Evidence from China
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 21, 2024
Abstract
Numerous
discussions
have
taken
place
regarding
the
influence
of
green
credit
policy
(GCP)
on
carbon
and
pollution
reduction.
However,
there
is
a
dearth
research
synergizing
reduction
emissions
(SRPC).
This
paper
aims
to
investigate
potential
GCP
achieve
SRPC
by
analyzing
Green
Credit
Guidelines
implemented
in
China.
Firstly,
findings
reveal
that
significantly
contributes
upgrading
industrial
structure
optimizing
energy
consumption.
promotion
through
technological
innovation
deemed
ineffective.
Additionally,
impact
more
prominent
sector,
while
it
bears
no
significant
household
sector.
Lastly,
demonstrates
success
achieving
terms
waste
gas
common
solid
waste,
but
falls
short
when
comes
wastewater
hazardous
waste.
provides
theoretical
foundation
for
effectively
realize
offers
insights
further
enhance
framework
finance
Язык: Английский
Coupling coordination relationship and influencing factors between green water use efficiency and new urbanization in the Huaihe River Ecological Economic Belt, China
Water Science & Technology Water Supply,
Год журнала:
2024,
Номер
24(8), С. 2896 - 2913
Опубликована: Авг. 1, 2024
ABSTRACT
Promoting
the
coordinated
symbiosis
of
green
water-use
efficiency
(GWUE)
and
new
urbanization
(NU)
performs
a
vital
function
in
facilitating
high-quality
development
China.
Based
on
panel
data
28
cities
Huaihe
River
Ecological
Economic
Belt
(HREEB)
from
2011
to
2020,
this
study
first
evaluates
GWUE
NU,
then
uncovers
their
spatio-temporal
evolutionary
characteristics.
On
basis,
coupling
coordination
degree
(CCD)
model,
ordinary
spatial
econometric
model
are
used
analyze
evolution
pattern
driving
factors
CCD
between
NU.
The
results
show
that:
(1)
exhibits
modest
downward
trend,
with
lower
reaches
being
much
higher
than
middle
upper
reaches.
(2)
NU
has
increased
overall
by
43.65%,
showing
northeastern
high
southwesterly
low
distribution.
(3)
is
rising,
high-value
areas
mainly
distribute
Yangzhou–Taizhou
region
Southern
Shandong
region,
while
low-value
concentrate
(4)
analysis
shows
that
industrial
structure,
technological
level,
water
resource
management
contribute
significantly
directly
CCD,
but
spillover
effects
markedly
different.
Язык: Английский