Assessment of Machine Learning Techniques in Mapping Land Use/Land Cover Changes in a Semi-Arid Environment
Earth Systems and Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Language: Английский
Impact of Climate Variability on the Feeding Glaciers of Potentially Dangerous Glacial Lakes in the Jhelum Basin of Kashmir Himalaya, India
Rayees Ahmed,
No information about this author
Abid Farooq Rather,
No information about this author
Polash Banerjee
No information about this author
et al.
Natural Hazards Review,
Journal Year:
2025,
Volume and Issue:
26(2)
Published: Jan. 9, 2025
Language: Английский
Land degradation vulnerability mapping using geospatial techniques: a case study of Nandakini River basin, NW Himalaya, India
Rohit Kumar,
No information about this author
Jaspreet Kaur Khaira,
No information about this author
Rayees Ahmed
No information about this author
et al.
International Journal of River Basin Management,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Sept. 10, 2024
Language: Английский
Glacial lake outburst flood risk assessment of a rapidly expanding glacial lake in the Ladakh region of Western Himalaya, using hydrodynamic modeling
Geomatics Natural Hazards and Risk,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Oct. 21, 2024
The
ongoing
trend
of
warming
climate
has
made
Glacial
Lake
Outburst
Floods
(GLOFs)
a
major
cryospheric
hazard
worldwide,
especially
in
the
Himalayas.
GLOFs
Himalayan
region
are
mostly
caused
by
moraine-dammed
proglacial
lakes
and
ice-dammed
lakes.
These
sporadic
disasters
have
resulted
significant
loss
life
property.
This
study
offers
comprehensive
analysis
GLOF
potential
potentially
dangerous
lake
(PDGL)
Ladakh
region.
research
explores
threat
from
using
multi-criteria
advanced
2D
hydrodynamic
modeling
approaches.
mass
balance
response
mother
glacier,
its
flow
dynamics,
glacier-lake
interactions
were
examined
for
past
22
years.
findings
show
that
over
this
period,
PDGL
had
notable
expansion
78.7%,
accompanied
recession
13.2%
feeding
glacier.
glacier
witnessed
an
average
thickness
⁓7
m
at
rate
0.32
a−1
during
period.
average,
lowest,
maximum
depth
found
to
be
30.95,
14.30,
50.57
m,
respectively
velocity
was
estimated
as
3.38
a−1.
Because
lake's
rapid
steep
surrounding
slopes,
it
classified
high-hazard
lake.
risk
downstream
community
assessed
through
HEC-RAS
tool.
discharge
under
worst-case
scenario
piping
overtopping
failures
3890.99
m3s−1
5111.39
m3s−1,
respectively.
area
inundation
calculated
4.74
5.38
km2
moderate
scenarios
expected
flood
velocities
range
18.26
23.78
meters,
scenarios.
At
several
locations
area,
routed
hydrographs
representing
propagation
generated.
wave
would
arrive
first
settlement
50
min,
with
peak
12.36
s−1.
inundated
includes
critical
infrastructure
such
bridges,
residential
houses,
roads.
To
mitigate
associated
lake,
more
detailed
on-site
is
highly
recommended.
Language: Английский
Assessment of livestock carrying capacity in the alpine grasslands of the Kashmir Himalayas
Shahid Saleem,
No information about this author
Javeed Ahmad Rather,
No information about this author
Suheel Ahmad
No information about this author
et al.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
14
Published: Nov. 14, 2024
The
alpine
grasslands
of
the
Kashmir
Himalayas
serve
as
a
lifeline
for
region’s
pastoral
communities,
providing
primary
source
forage
their
livestock.
These
high-altitude
rangelands
are
not
only
crucial
livelihood
these
communities
but
also
play
significant
role
in
maintaining
ecological
balance
area.
However,
sustainable
pastoralism
fragile
ecosystem
hinges
on
thorough
understanding
availability
and
livestock
carrying
capacity.
This
study
assesses
dynamics
capacity
grasslands.
Through
comprehensive
biomass
sampling
across
23
strategically
selected
sites,
we
calculated
an
average
dry
matter
above
ground
yield
5.10
metric
tons
per
hectare,
resulting
total
weight
approximately
820,489.22
(820,489,220
kg),
over
entire
grassland
area
160,974
ha.
Using
daily
intake
1.3
kg
Sheep
Unit
(SU)
50
grazing
days,
time
period
which
corresponds
to
renewal
new
grass
growth,
was
determined
be
39.08
Animal
Units
(AU)
hectare
estimated
62,78,556
SU.
current
stocking
rate
4,661,800
SU
utilizes
about
74.21%
this
Carrying
capacity,
leaving
surplus
25.77%
or
1,616,756
Units.
localized
overgrazing
areas
such
Thajwas
Mohand
Marg
highlights
need
targeted
management
practices
prevent
rangeland
degradation.
data
is
critical
it
provides
baseline
potential
support
underscores
importance
optimize
while
Engaging
local
efforts
essential
effective
Himalayas.
Language: Английский