Advances in environmental engineering and green technologies book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 181 - 204
Published: Nov. 29, 2024
Climate
change
(CC)
impacts
extreme
weather
events
such
as
conditions,
temperature
changes,
droughts,
and
floods
necessitating
accurate
flood
frequency
analysis
(FFA)
for
risk
assessment.
In
this
chapter,
Bayesian
non-Bayesian
methods
were
compared
at-site
FFA
forecasting
particularly
in
the
context
of
CC
on
hydrological
processes
using
data
from
three
sites
Pakistan.
Generalized
Extreme
Value
Distribution
(GEV)
was
best
fit
these
sites.
Markov
Chain
Monte
Carlo
(MCMC)
simulations
with
Metropolis-Hastings
(M-H)
sampling
procedure
estimated
uncertainty
quantification.
method
outperformed,
lower
standard
errors
more
parameter
estimates.
Safety
amendments
affirmed
robustness
mitigating
risks
improving
water
resource
management.
Findings
support
advantage
approach
that
contribute
management
strategies
amidst
climate
challenges.
Study
underscores
importance
enhancing
practices
change.
Environmental Earth Sciences,
Journal Year:
2025,
Volume and Issue:
84(4)
Published: Feb. 1, 2025
Abstract
The
Hindukush-Himalayan
(HKH)
region,
known
for
its
eco-environmental
importance,
has
been
witnessing
transformations
in
recent
years
governed
by
factors
such
as
climate
variability,
land
use
shifts,
and
population
growth.
These
changes
have
profound
implications
regional
sustainability,
water
resources,
livelihood.
This
study
attempts
to
explore
the
spatial
temporal
variability
selected
environmental
parameters
including
surface
temperature
(LST),
normalized
difference
vegetation
index
(NDVI),
precipitation
patterns,
snow
(NDSI),
cover
(LULC)
from
1990
2022
using
Landsat
imageries
(30
m
resolution),
CHIRPS
data
at
0.05°
resolution.
area
spans
32,000
km
2
covering
two
major
political/administrative
divisions
(Malakand
Hazara)
HKH
region
of
Pakistan.
was
primarily
because
unprecedented
over
last
three
decades.
For
detailed
analysis,
divided
into
five
elevation
zones
LST,
NDVI,
NDSI,
LULC
analyses
were
conducted
utilizing
Google
Earth
Engine
(GEE)
platform
engine.
results
revealed
a
notable
rise
LST
lowest
zone.
NDVI
noticeable
decline
5988
1990,
4225
2010,
followed
growth
7669
2022,
since
2010
after
launching
Billion
Tree
Tsunami
Afforestation
Project
(BTTAP)
2013.
Likewise,
patterns
exhibit
transitioning
low
high
levels.
However,
most
finding
is
marked
covered
7000
3800
between
2022.
Abstract
Glacial
lake
outburst
floods
(GLOFs)
in
the
Himalayas
have
caused
severe
consequences
for
downstream
communities,
including
loss
of
life
and
substantial
economic
damage.
The
accelerated
global
atmospheric
warming
further
heightens
GLOF
risks.
However,
a
gap
uncertainties
underlying
hazard
vulnerability
constrains
accurate
cognition
potential
threats.
Here
we
developed
glacial
inventory
systematically
assessed
hazard,
exposure,
comprehensive
risks
all
lakes
ten
hotspot
sub-basins
using
DEM-based
stochastic
framework,
numerical
model
social
census
dataset.
From
2015
to
2020,
areas
expanded
by
6.52
±
1.07
km²
(0.8%
annually).
38%
pose
high
impacting
51%
population
76%
infrastructure.
Northeastern
Bhutan
exhibits
higher
than
India,
Nepal
Tibet,
yet
remains
underexplored.
Kuri
Chu
Dangme
are
particularly
high-risk
areas,
with
10%
previously
underestimated.
This
work
contributes
developing
an
effective
risk
assessment
criteria,
underscoring
need
systematic
study
other
glacierized
regions.
Transactions in GIS,
Journal Year:
2025,
Volume and Issue:
29(2)
Published: April 1, 2025
ABSTRACT
Academic
literature
with
long‐tail
characteristics
contains
rich
knowledge
resources
but
is
not
easily
discovered
through
limited
manual
extraction
capabilities.
This
study
proposed
a
refined
strategy,
transitioning
from
“full
text
to
sentence,”
in
the
field
of
flood
disaster
risk
reduction.
Sentences
describing
research
methods
were
identified
full
texts
5180
articles
published
between
1990
and
2020.
Research
method
entities—including
algorithms,
software,
data—were
extracted
using
optimal
deep
learning
models.
A
flooding
graph
was
constructed
applied
several
control
scenarios.
The
results
showed
that
BiLSTM‐CRF
model
outperformed
more
complex
alternatives.
In
all,
2144
methods,
291
software
tools,
six
types
remote
sensing
data
sources
obtained
based
on
usage
sentences.
contained
42,420
nodes
78,242
edges.
entity
provides
reference
for
related
mapping
big
data.
Journalism and Media,
Journal Year:
2025,
Volume and Issue:
6(2), P. 70 - 70
Published: May 8, 2025
The
2022
floods
in
Pakistan,
one
of
the
most
recent
catastrophic
natural
disasters,
highlighted
critical
vulnerabilities
governance,
infrastructure,
and
climate
resilience.
This
study
investigates
framing
newspapers
from
Global
North
South.
under
investigation
included
Guardian,
New
York
Times,
Times
India,
Dawn.
used
a
cross-sectional
research
design.
Under
rubric
theory,
utilizing
quantitative
content
analysis,
examines
prevalence
key
frames
press
findings
revealed
dominance
solution,
vulnerability,
responsibility
frames.
Moreover,
South
framed
human
causes,
i.e.,
larger
societal
forces,
as
responsible,
rather
than
causes.
In
addition,
victimization
frame
is
more
focused
community-led
efforts.
Notably,
solutions
primarily
emphasized
international
aid
adaptation,
other
local
governance
community
adaptation
These
results
underscore
dual
role
media
both
advocates
for
global
justice
narrators
humanitarian
crises,
while
also
highlighting
gaps
resilience
narratives
agency.
contributes
to
theory
by
exploring
interplay
disaster
reporting.
It
emphasizes
need
balanced,
actionable
discourse
on
climate-induced
disasters
ensure
justice.
