E3S Web of Conferences,
Год журнала:
2023,
Номер
458, С. 08010 - 08010
Опубликована: Янв. 1, 2023
The
article
discusses
the
state
and
prospects
of
two
new
methods
to
study
environmental
issues:
Internet
ecology
(iEcology)
conservation
culturomics.
Both
approaches
are
very
similar;
both
them
based
on
big
data
analysis,
which
is
not
directly
meant
solve
issues
(publications
in
social
networks,
search,
photos
videos
posted
platforms,
etc.).
authors
offer
methodology
(as
exemplified
by
quality
atmospheric
air)
from
VK
network
machine
learning
algorithms.
For
content
analysis
we
used
PolyAnalyst
software.
results
publications
air
Magnitogorsk
city
for
2020-2022
presented.
We
identified
433
messages
characterizing
condition
Magnitogorsk.
Our
research
demonstrates
that
ecological
culturomics
can
contribute
situation.
let
us
issue
important
residents
be
as
an
additional
source
information
subjective
assessment
quality.words.
Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110667 - 110667
Опубликована: Июль 21, 2023
Using
panel
data
from
281
Chinese
cities
at
the
prefecture
level
2005
to
2020,
this
study
uses
entropy
approach
assess
ecological
resilience
of
cities.
Then,
it
examines
regional
variations
and
convergence
using
Dagum
Gini
coefficient,
kernel
density
estimation,
Markov
chain,
model.
The
conclusions
are
as
follows:
First,
there
is
a
lessening
trend
in
fluctuations
between
degrees
urban
within
nation
three
regions,
they
eventually
converge
that
comparatively
steady.
prevalence
inter-regional
cross-over
situations
main
factor
contributing
widening
gaps
levels.
Second,
despite
differences
distribution
dynamics,
has
increased
across
geographies.
Third,
demonstrates
occurrence
"low-level
trap"
"high-level
monopoly";
high-level
more
likely
draw
low-level
Fourth,
strong
indication
σ
β
tendencies
China's
country
its
regions.
government
should
improve
environmental
management
protection,
clarify
each
city's
purpose
development
strategy,
foster
collaboration
connectivity
among
neighboring
bridge
gap
successfully.
Land,
Год журнала:
2022,
Номер
11(5), С. 680 - 680
Опубликована: Май 3, 2022
With
the
world’s
rapidly
growing
urbanization,
urban
sustainability
is
now
expected
for
life.
Due
to
this
rapid
growth,
meeting
emerging
challenges
management
and
worldwide
challenging.
Big
data-driven
technologies
can
be
an
excellent
solution
address
these
upcoming
challenges.
Therefore,
study
explores
potential
of
big
data
ensuring
in
management.
The
conducted
a
systematic
literature
review
guided
by
PRISMA
(preferred
reporting
items
meta-analysis)
on
publications
over
last
21
years.
argues
that
integrated
function
public
private
agencies
significant
life
develop
city
as
more
competitive,
habitable,
sustainable.
Urban
utilize
analytics
(BDA)
digital
instrumentation,
data-informed
policy
decisions,
governance,
real-time
management,
evidence-based
decisions.
ensure
smooth
operation
affairs
through
strategic
planning
under
three
major
dimensions:
social,
economic,
environmental.
smart
transport,
traffic,
waste
energy,
environment,
infrastructure,
safety,
healthcare,
planning,
citizen
participation
regular
provide
better
This
develops
several
indicators
will
helpful
concerned
stakeholders
policy,
designing,
implementing
sustainable
development.
Forests,
Год журнала:
2023,
Номер
14(2), С. 206 - 206
Опубликована: Янв. 20, 2023
The
use
of
passive
acoustic
monitoring
(PAM)
can
compensate
for
the
shortcomings
traditional
survey
methods
on
spatial
and
temporal
scales
achieve
all-weather
wide-scale
assessment
prediction
environmental
dynamics.
Assessing
impact
human
activities
biodiversity
by
analyzing
characteristics
scenes
in
environment
is
a
frontier
hotspot
urban
forestry.
However,
with
accumulation
data,
selection
parameter
setting
deep
learning
model
greatly
affect
content
efficiency
sound
scene
classification.
This
study
compared
evaluated
performance
different
models
classification
based
recorded
data
from
Guangzhou
forest.
There
are
seven
categories
classification:
sound,
insect
bird
bird–human
insect–human
bird–insect
silence.
A
dataset
containing
was
constructed,
1000
samples
each
scene.
requirements
training
volume
epochs
were
through
several
sets
comparison
experiments,
it
found
that
able
to
satisfactory
accuracy
when
sample
single
category
600
100.
To
evaluate
generalization
new
small
test
multiple
trained
used
make
predictions
dataset.
All
experimental
results
showed
DenseNet_BC_34
performs
best
among
models,
an
overall
93.81%
validation
provides
practical
experience
application
techniques
perspectives
technical
support
further
exploring
relationship
between
biodiversity.
Royal Society Open Science,
Год журнала:
2021,
Номер
8(8), С. 210838 - 210838
Опубликована: Авг. 1, 2021
The
accurate
extraction
of
urban
built-up
areas
is
an
important
prerequisite
for
planning
and
construction.
As
a
kind
data
that
can
represent
spatial
form,
night-time
light
has
been
widely
used
in
the
areas.
one
geographic
open-source
big
data,
point
interest
(POI)
high
coupling
with
so
researchers
are
beginning
to
explore
fusion
two
order
achieve
more
However,
current
research
methods
theoretical
applications
POI
still
insufficient
compared
dramatically
changing
areas,
which
needed
be
further
supplemented
deepened.
This
study
proposes
new
method
fuse
data.
results
before
after
compared,
accuracy
area
extracted
by
different
analysed.
show
avoid
shortage
single
effectively
improve
greatly
helpful
supplement
also
provide
decision-making
guidance
Environmental Reviews,
Год журнала:
2022,
Номер
30(2), С. 342 - 356
Опубликована: Март 3, 2022
Urban
ecosystems
are
complex
systems
with
anthropogenic
features
that
generate
considerable
CO
2
emissions,
which
contributes
to
global
climate
change.
Quantitative
estimates
of
the
carbon
footprint
urban
crucial
for
developing
low-carbon
development
policies
mitigate
Herein,
we
reviewed
more
than
195
and
related
studies,
collated
recent
progress
in
calculation
methods
research
applications
ecosystem
footprint,
analyzed
different
cities,
focused
on
need
study
from
a
holistic
perspective.
Specifically,
aimed
to:
(i)
compare
strengths
weaknesses
five
existing
[life
cycle
assessment,
input–output
analysis,
hybrid
life
calculator,
Intergovernmental
Panel
Climate
Change
(IPCC)];
(ii)
analyze
status
current
subregions
based
features;
(iii)
highlight
new
areas
future
ecosystems.
Not
all
accounting
applicable
determination
ecosystems;
although
IPCC
method
is
widely
used
others,
assessment
accurate.
With
emergence
science
technology,
quantitative
calculate
have
evolved,
becoming
Further
technologies,
such
as
big
data
artificial
intelligence,
assess
anticipated
help
address
emerging
challenges
effectively
achieve
neutrality
sustainability
under
