Diagnosis of ecological security and the spatial heterogeneity of its driving factors in the mining-impacted watershed, based on ecosystem health-risk-services framework
Ecological Indicators,
Год журнала:
2024,
Номер
167, С. 112683 - 112683
Опубликована: Окт. 1, 2024
Язык: Английский
Investigating the barriers to drone implementation in sustainable agriculture: A hybrid fuzzy-DEMATEL-MMDE-ISM-based approach
Journal of Environmental Management,
Год журнала:
2024,
Номер
371, С. 123299 - 123299
Опубликована: Ноя. 12, 2024
Язык: Английский
Quantifying Leachate Discharge and Assessing Environmental Risks of Gully-Type Coal-Based Solid Waste Dumps in Small Watersheds: A Refined Hydrological Modeling Approach for Mitigation Strategies
Water Research,
Год журнала:
2025,
Номер
282, С. 123655 - 123655
Опубликована: Апрель 16, 2025
Язык: Английский
Inversion of Soil Salinity in the Irrigated Region along the Southern Bank of the Yellow River Using UAV Multispectral Remote Sensing
Agronomy,
Год журнала:
2024,
Номер
14(3), С. 523 - 523
Опубликована: Март 3, 2024
Soil
salinization
is
a
global
issue
confronting
humanity,
imposing
significant
constraints
on
agricultural
production
in
the
irrigated
regions
along
southern
bank
of
Yellow
River.
This,
turn,
leads
to
degradation
ecological
environment
and
inadequate
grain
yields.
Hence,
it
essential
explore
magnitude
spatial
patterns
soil
promote
efficient
sustainable
development.
This
study
carried
out
two-year
surface
sampling
experiment
encompassing
periods
before
spring
irrigation
budding,
flowering,
maturity
stages
sunflower
fields
area
It
employed
deep
learning
conjunction
with
multispectral
remote
sensing
conducted
by
UAV
estimate
salinity
levels
fields.
Following
identification
sensitive
spectral
variables
through
correlation
analysis,
we
proceeded
model
compare
accuracy
stability
various
models,
including
Transformer
model,
traditional
machine
BP
neural
network
(BPNN),
random
forest
(RF),
partial
least
squares
regression
(PLSR).
The
findings
indicate
that
precision
content
(SSC)
retrieval
saline–alkali
land
can
be
significantly
enhanced
incorporating
RE
band
data.
Four
SSC
inversion
models
were
developed
using
most
suitable
variables,
resulting
precise
inversion.
order
based
was
>
BPNN
RF
PLSR.
Notably,
achieved
prediction
exceeding
0.8
for
both
training
test
datasets,
as
indicated
R2
values.
each
period
follows:
budding
flowering
stages.
Additionally,
higher
bare
stage
compared
crop
cover
stage.
exhibited
RMSE
values
2.41
g
kg−1
0.84
salt
results
aligning
closely
field-measured
showed
integrated
data
enhances
efficiency
within
south
Язык: Английский
Microtopography-Guided precision restoration of sandy lands through UAV: A case study in Hunshandake Sandy Land, China
CATENA,
Год журнала:
2024,
Номер
247, С. 108489 - 108489
Опубликована: Окт. 24, 2024
Язык: Английский
Formation of vegetation at a reclaimed clay quarry in the Middle Ural taiga forest area (on the example of a quarry in Yekaterinburg)
Forestry Engineering Journal,
Год журнала:
2024,
Номер
14(2), С. 70 - 87
Опубликована: Авг. 30, 2024
The
study
of
vegetation
on
disturbed
lands
is
necessary
to
solve
environmental
problems
and
restore
the
natural
potential
such
areas
as
soon
possible.
paper
presents
a
taxation
characterization
15-30-year-old
mixed
stands
artificial
origin
growing
in
reclaimed
clay
quarry.
Species
composition,
projective
cover
aboveground
phytomass
absolutely
dry
form
living
ground
were
determined.
Field
data
collected
using
common
methods:
sample
plots
survey
plots.
39
species
recorded,
which
classified
into
13
families
5
cenotypes.
proportion
distribution
by
cenotypes,
well
ratio
are
presented.
degree
floristic
composition
commonality
studied
communities
herbaceous
plants,
determined
Jaccard
coefficient,
small
(from
0.24
0.57).
It
was
established
that
conditions
research
area
at
quarries,
it
possible
highly
productive
plantations
with
predominance
coniferous
species.
At
plots,
dominated
from
legumes
(Fabaceae),
bluegrasses
(Poaceae),
Asteraceae
(Asteraceae).
dominant
terms
different
following:
red
clover
(Trifolium
pratense
L.),
dandelion
(Taraxacum
officinale
Wigg.),
tufted
vetch
(Vicia
cracca
velvety
bentgrass
(Agrostis
canina
smooth
meadow-grass
(Poa
pratensis
meadow
vetchling
(Lathyrus
wood
millet
(Milium
effusum
coltsfoot
(Tussilago
farfara
sylvatica
L.).
Plants
forest-meadow
cenotypes
predominate
under
canopy
stands.
latter
an
indication
forest
environment
has
not
been
formed
During
biological
stage
quarry
reclamation
Middle
Ural
Taiga
area,
recommended
sow
plants
(Fabaceae)
bluegrass
most
widespread
within
Язык: Английский
MULTIDIRECTIONAL USE OF UNMANNED AERIAL VEHICLES IN THE AREA OF SAFETY
Zeszyty Naukowe SGSP,
Год журнала:
2024,
Номер
1(92), С. 219 - 237
Опубликована: Дек. 30, 2024
The
paper
presents
a
wide
range
of
possibilities
for
the
use
drones
in
terms
human
safety,
theenvironment
and
technical
facilities.
In
accordance
with
concept
paper,
these
areas
aredivided
into
four
main
sources
hazards
each
cases
using
anunmanned
aircraft
are
presented.
Hazards
caused
by
flooding,
environment,
fire
thoseoccurring
on
construction
sites
subject
to
analysis.
aim
was
markareas
hazard
grid
superimposed
map
an
area
specialised
drone
camera.Based
this
information,
it
is
possible
define
risk
people
property.In
case
depth
river
spillway
determined
according
width
ofthe
channel,
affecting
safety
residents
town.
For
environmentalaspect,
surface
water
table
its
fields,
meadows
pastureswere
determined.
This
also
important
from
agricultural
point
view,
including
determiningthe
extent
crop
damage.
fire,
enabled
assessment
damaged
building
as
result
high
temperatures,
ofa
situation
plan
related
building’s
structure
context
continueduse.
final
site.
Here,
turn,
objective
tomap
occupational
risks
those
working
there
and,
particular,
identify
ofdangerous,
harmful
nuisance
factors.
All
diagrams
presented
confirmed
widespreaduse
UAVs
diagnosis
levels.
With
technology,
easier
todiagnose
develop
preventive
measures.
Язык: Английский