Geocarto International,
Journal Year:
2023,
Volume and Issue:
38(1)
Published: Feb. 8, 2023
This
study
mainly
focuses
on
spatiotemporal
and
inter-seasonal
meteorological
drought
characteristics.
Random
Effect
Logistic
Regression
Model
(RELRM)
Conditional
Fixed
(CFELRM)
are
used
to
identify
the
characteristics
of
in
selected
stations.
The
log-likelihood
Ratio
Chi-Square
(LRCST)
Wald
chi-square
tests
(WCTs)
assess
significance
RELRM
CFELRM.
Hausman
test
(HT)
is
applied
select
appropriate
model
between
For
instance,
HT
suggests
CFELRM
as
an
spring-to-summer
modelling.
significant
coefficient
from
indicates
that
increment
moisture
conditions
spring
season
will
decrease
probability
summer.
odds
ratio
0.1942
means
19.42%
chance
being
a
higher
category.
Similarly,
summer-to-autumn
using
computed
0.0673
shows
6.73%
Complexity,
Journal Year:
2022,
Volume and Issue:
2022(1)
Published: Jan. 1, 2022
Drought
is
a
creeping
phenomenon
that
slowly
holds
an
area
over
time
and
can
be
continued
for
many
years.
The
impacts
of
drought
occurrences
affect
communities
environments
worldwide
in
several
ways.
Thus,
assessment
monitoring
region
are
crucial
reducing
its
vulnerability
to
the
negative
drought.
Therefore,
comprehensive
techniques
methods
required
develop
adaptive
strategies
undertake
reduce
substantially.
For
this
purpose,
study
proposes
new
method
known
as
regional
meteorological
(RCAMD).
Standardized
Precipitation
Index
(SPI),
Evapotranspiration
(SPEI),
Temperature
(SPTI)
jointly
used
development
RCAMD.
Further,
RCAMD
employs
Monte
Carlo
feature
selection
(MCFS)
steady‐state
probabilities
(SSPs)
comprehensively
collect
information
from
various
stations
indices.
Moreover,
validated
on
six
selected
northern
areas
Pakistan.
outcomes
associated
with
provide
become
initial
source
bringing
more
considerations
early
warning
systems.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(9)
Published: Aug. 24, 2023
Abstract
Regionalization
approaches—where
utilities
in
close
geographic
proximity
cooperate
to
manage
drought
risks
and
co‐invest
new
infrastructure—are
increasingly
necessary
strategies
for
leveraging
economies
of
scale
meet
growing
demands
navigate
financial
risks.
However,
regionalization
also
brings
challenges
water
supply
planning.
Successful
policies
must
equitably
balance
the
interests
multiple
partners
while
navigating
power
relationships
between
regional
actors.
In
long‐term
infrastructure
planning
contexts,
this
challenge
is
heightened
by
evolving
system‐state
dynamics,
which
may
be
fundamentally
reshaped
investment.
This
work
introduces
Equitable,
Robust,
Adaptive,
Stable
Deeply
Uncertain
Pathways
(DU
ERAS
),
an
exploratory
modeling
framework
developing
management
investment
pathways.
DU
provides
integrated
stakeholders
evaluate
equity
policy
outcomes
across
cooperating
explore
within
cooperative
policies.
To
capture
time‐evolving
dynamics
pathways,
features
tools
measure
adaptive
capacity
pathway
vulnerability.
We
demonstrate
our
on
a
six‐utility
partnership
seeking
develop
pathways
Research
Triangle,
North
Carolina.
Our
results
indicate
that
commonly
employed
framings
robustness
can
have
large
unintended
adverse
consequences
partnerships.
Results
further
illustrate
individual
vulnerabilities
are
highly
interdependent
emphasize
need
limit
counterparty
through
carefully
designed
agreements.
Beyond
these
broadly
applicable
globally.
Abstract.
The
relation
between
drought
severity,
as
expressed
through
widely
used
indices,
and
impacts
is
complex.
In
particular
in
water-limited
regions
where
water
scarcity
prevalent,
the
attribution
of
difficult.
This
study
assesses
reported
impacts,
scarcity,
aridity
across
several
counties
Kenya.
monthly
bulletins
National
Drought
Management
Authority
Kenya
have
been
to
gather
impact
data.
A
Random
Forest
(RF)
model
was
explore
which
set
indices
best
explains
on:
pasture,
livestock
deaths,
milk
production,
crop
losses,
food
insecurity,
trekking
distance
for
water,
malnutrition.
findings
this
suggest
a
severity
frequency
whereby
latter
also
showed
with
aridity,
whilst
did
not.
results
RF
reveal
that
can
be
explained
by
range
different
aridity.
While
strongly
depend
on
availability
data
socio-economic
circumstances
within
region,
highlights
potential
linking
text-based
reports.
doing
so,
however,
spatial
differences
conditions
taken
into
account.
Geocarto International,
Journal Year:
2023,
Volume and Issue:
38(1)
Published: Feb. 8, 2023
This
study
mainly
focuses
on
spatiotemporal
and
inter-seasonal
meteorological
drought
characteristics.
Random
Effect
Logistic
Regression
Model
(RELRM)
Conditional
Fixed
(CFELRM)
are
used
to
identify
the
characteristics
of
in
selected
stations.
The
log-likelihood
Ratio
Chi-Square
(LRCST)
Wald
chi-square
tests
(WCTs)
assess
significance
RELRM
CFELRM.
Hausman
test
(HT)
is
applied
select
appropriate
model
between
For
instance,
HT
suggests
CFELRM
as
an
spring-to-summer
modelling.
significant
coefficient
from
indicates
that
increment
moisture
conditions
spring
season
will
decrease
probability
summer.
odds
ratio
0.1942
means
19.42%
chance
being
a
higher
category.
Similarly,
summer-to-autumn
using
computed
0.0673
shows
6.73%
