Assessing Historical Landslide Risk Management Based on Trigger Magnitude and Consequences: A Case Study from the Rokko Mountains, Kobe, Japan
Geotechnical and Geological Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 10, 2024
Language: Английский
Depopulation in the Visok micro-region: Toward demographic and economic revitalization
Open Geosciences,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 1, 2025
Abstract
The
demographic
potential
of
the
settlements
in
Visok
micro-region
has
been
significantly
disrupted
since
1948.
latest
census
(2022)
shows
that
now
consists
very
small
settlements,
all
with
fewer
than
100
inhabitants.
In
22
villages
micro-region,
there
are
only
504
inhabitants,
unfavorable
age
structures.
region’s
average
remained
above
65
for
last
30
years,
older
surrounding
areas.
Low
salaries,
bad
infrastructure,
and
industrialization
Pirot
City
represent
main
reasons
depopulation.
Zavoj
Lake
catastrophe
caused
three
to
be
submerged,
which
accelerated
depopulation
even
more.
Most
remaining
inhabitants
engaged
farming
or
work
construction,
stone,
forestry
industries,
sheep
being
a
notable
tradition.
local
population
strong
ecological
awareness,
advocating
industries
align
nature,
creating
an
ideal
environment
nature
enthusiasts
scientists.
way
revitalization
is
have
organized
seasonal
migrations
based
on
summer
tourist
season.
aim
would
national-level
plan
brand
untouched
traditional
agricultural
products
complete
experience.
Language: Английский
UNLOCKING POTENTIAL: GEOGRAPHICAL BRANDING AS A POSSIBLE FACTOR OF REVITALIZATION OF SERBIAN VILLAGES – A CASE STUDY OF THE VISOK MICROREGION
Ekonomika poljoprivrede,
Journal Year:
2024,
Volume and Issue:
71(2), P. 551 - 568
Published: June 19, 2024
The
objective
of
this
paper
is
to
emphasize,
branding
as
one
the
possible
ways
take
concrete
steps
towards
reaffirming
local
values
and
traditional
knowledge
rural
populations
in
Serbia.
Based
on
information
gathered
field,
well
from
existing
literature
sources,
main
goal
study
promote
products
Visok
microregion.
Due
very
alarming
demographic
data,
may
be
last
chance
for
revitalizing
region.
In
study,
we
highlighted
following
products:
Pirot
kilim
(Pirot
rug),
Pirot/Stara
Planina
lamb,
Kachkaval
cheese,
Stara
honey,
potato.
Besides
agriculture,
micr
oregion
also
has
exceptional
tourist
potential.
conclusion
emphasizes
that
only
viable
path
revitalization
through
planned
investment.
Such
investment
would
facilitate
development
infrastructure
help
restore
population,
thus
enabling
creation
sustainable
development.
Language: Английский
Assessing risk-prone areas in the Kratovska Reka catchment (North Macedonia) by integrating advanced geospatial analytics and flash flood potential index
Open Geosciences,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: Jan. 1, 2024
Abstract
This
study
presents
a
comprehensive
analysis
of
flash
flood
susceptibility
in
the
Kratovska
Reka
catchment
area
Northeastern
North
Macedonia,
integrating
Geographic
Information
System,
remote
sensing,
and
field
survey
data.
Key
factors
influencing
dynamics,
including
Slope,
Lithology,
Land
use,
Vegetation
index,
were
investigated
to
develop
Flash
Flood
Potential
Index
(FFPI).
Mapping
slope
variation
using
5-m
Digital
Elevation
Model
(DEM)
revealed
higher
slopes
eastern
tributaries
compared
western
counterparts.
Lithological
units
classified
based
on
erosion
processes,
with
clastic
sediments
identified
as
most
prone
floods.
use
highlighted
non-irrigated
agricultural
surfaces
areas
sparse
vegetation
highly
susceptible.
Integration
these
into
FFPI
model
provided
insights
susceptibility,
results
indicating
medium
risk
across
catchment.
The
average
value
is
1.9,
considering
that
values
range
from
1
5.
Also,
terrains
susceptible
floods
found
be
49.34%,
risk.
Field
data
validated
model,
revealing
significant
overlap
between
hotspot
for
high-risk
regions
by
FFPI.
An
coefficient
was
calculated
each
tributary
(sub-catchment)
Reka.
According
Latišnica
had
highest
potential
floods,
2.16.
These
findings
offer
valuable
spatial
planning
management,
implications
both
local
national-scale
applications.
Future
research
directions
include
incorporating
machine
learning
techniques
enhance
modeling
accuracy
reduce
subjectivity
assigning
weighting
factors.
Language: Английский