First
and
foremost,
I
am
grateful
for
the
support
of
my
family.My
husband,
Andre,
was
by
side
in
every
step
took
during
PhD,
giving
guidance,
mental
assistance,
cheering
time
succeed.I
also
daughters,
Lara
Cecília,
who
were
born
academic
journey.They
may
not
understand
this
process,
but
they
always
gave
me
strength
to
continue,
even
most
difficult
times.To
parents,
Lincoln
Suzana,
sisters,
Mariana
e
Ana
Carolina,
there
me.Moreover,
mother
sister
Climate
change
impact
assessment
is
critical
for
creating
adequate
climate
mitigation
and
adaptation
policies
plans.
Critical
infrastructure
systems
(e.g.,
water
energy
systems)
are
particularly
at
risk
impacts.
In
fact,
a
better
understanding
of
impacts
on
the
would
facilitate
fulfillment
SDG2
(end
hunger),
SDG
6
(clean
sanitation),
7
(affordable
clean
energy),
11
(sustainable
cities
communities),
13
(climate
action),
with
many
indirect
benefits
across
other
areas.
Nonetheless,
conducting
assessment,
community-level,
not
an
easy
task.
Often,
models
require
access
to
substantial
computational
resources
run
complex
models,
as
well
expertise
work
those
interpret
their
results,
which
may
be
possible
all
communities.
As
such,
there
need
expand
include
more
accessible
that
can
handle
high-resolution,
local
data
interest
Here,
we
highlight
how
studies
benefit
from
power
artificial
intelligence
(AI).
The
report
details
use
AI
model
conduct
computationally
efficient
assessment.
This
applied
case
study
United
States
America
(U.S.)
example
showcase
insights
it
generates
in
real-world
applications.
To
demonstrate
this
process,
will
focus
coupled
electricity
demand
water-electricity
nexus).
demonstrates
two
different
means
collecting
future
data—Coupled
Model
Intercomparison
Project
5
(CMIP5)
Earth
System
Models
(ESMs)
contemporary
analogs.
Our
results
show
significant
increases
Midwestern
U.S.
when
using
ESM-derived
data.
Similar
were
found
through
analog-derived
data,
suggesting
analogs
used
successfully
proxies
traditional
ESM
communities
might
have
larger
CMIP
suite
models.
Understanding
important
building
sustainable
equitable
adaptation.
These
often
interconnected
water-energy
nexus)
managed
by
entities.
Thus,
while
global
problem
requiring
cooperation
countries
sectors,
solutions
action.
sense,
presented
here
deepen
our
scientific
nexus,
develop
novel
methodologies
integrate
prepare
future.
Environmental Research Infrastructure and Sustainability,
Год журнала:
2024,
Номер
4(3), С. 035011 - 035011
Опубликована: Авг. 6, 2024
Abstract
Accelerating
permafrost
thaw
and
coastal
erosion
in
rural
Alaska
destabilize
the
built
environment,
increasing
risk
of
sociotechnical
failures
that
negatively
impact
nearby
communities.
Infrastructure
adaptation
is
necessary
to
mitigate
these
threats,
yet
epistemic
uncertainty
remains
about
where
most
exposed
infrastructure
located
corresponding
community
failure.
As
a
result,
existing
activity
may
not
be
prioritized
according
relative
need,
potentially
reducing
efficiency
effectiveness
activity.
To
address
this
gap,
study
seeks
identify
likely
failures,
cascading
impacts,
as
well
which
communities
are
experience
them.
do
so,
employs
machine
learning
techniques
terrain
maps
vulnerable
coastlines.
Using
density-based
cluster
mapping,
statistical
summarization,
semi-cognitive
we
explore
locations
functions
infrastructure,
interdependencies
occurring
on
Alaskan
Results
suggest
following
improve
outcomes:
(1)
allocate
public
funding
support
(2)
increase
financial
physical
resources
for
resilience
research
development
(3)
expand
access
through
increased
local
input
decision-making.
For
instance,
results
show
water
sewer
Bethel
census
area
highly
exposed,
could
additional
organizations
repair
relocate
such
infrastructure.
Through
changes,
regional
can
become
more
prioritized—ensuring
funds
pressing
needs.
In
February
2021,
Winter
Storm
Uri
left
11
million
people
in
Texas
without
power,
caused
widespread
water
outages,
and
inflicted
billions
of
dollars
damage.
While
the
severity
this
event
was
primarily
by
electricity
generator
failures,
it
made
worse
decisions
utilities
state
regulators
before,
during,
after
event.
This
study
seeks
to
(1)
evaluate
procedures
electric
during
Uri,
(2)
provide
a
set
recommendations
improve
resilience
energy
systems
preparation
for
future
extreme
weather
events.
Fourteen
semi-structured
interviews
were
conducted
with
across
underwent
hybrid
inductive-deductive
qualitative
coding.
The
analysis
identified
issues
present
operations
decision-making
processes
as
well
potential
solutions
five
dimensions
resilience.
outlines
help
ensure
that
are
better
prepared
respond
disaster
events
minimize
community
impacts,
such
sectionalizing
circuits
load
shed,
collaborating
neighboring
share
resources,
expanding
use
social
media
customer
outreach.
Winter
Storm
Uri
slammed
Texas
between
February
13-17,
2021,
and
caused
widespread
power
outages.
Understanding
the
impacts
of
this
catastrophic
event
on
local
communities
has
important
meaning.
In
study,
we
examine
winter
storm
its
impact
disparities
different
population
groups
over
three
stages
disaster:
initial-hit
stage,
power-outage
recovery
stage.
The
study
focuses
Harris
County,
which
was
severely
affected
by
storm.
We
leverage
home-dwelling
time
information
from
anonymized
mobile
phone
location
data
to
constrained
mobility
people
due
as
a
way
quantify
communities.
Considering
that
may
be
outages,
further
integrate
nighttime
light
(NTL)
images
into
our
analyses
assess
during
use
other
two
(i.e.,
stage
stage).
results
reveal
disparate
in
disaster.
also
find
with
socioeconomic
demographic
backgrounds,
especially
These
help
us
better
understand
event,
inform
future
response
mitigation
efforts
identifying
vulnerable
communities,
allocating
resources,
curtailing
negative
similar
disasters.
Environmental Research Infrastructure and Sustainability,
Год журнала:
2024,
Номер
4(1), С. 015003 - 015003
Опубликована: Янв. 5, 2024
Abstract
Failures
in
urban
water
systems
are
becoming
a
common
occurrence
the
US
due
to
disasters,
aging
infrastructure,
and
financial
constraints,
among
other
concerns.
For
example,
Jackson,
Mississippi
has
experienced
reoccurring
outages,
burdening
community
members
as
they
must
seek
alternative
sources.
Prior
research
primarily
focused
on
technical,
institutional,
public
health
aspects
of
crises,
with
limited
attention
perspectives.
Understanding
such
social
can
shed
light
on,
for
priorities,
levels
trust,
mental
concerns,
communication
gaps.
Here,
we
document
temporal
experiences
perceptions
during
Jackson
Water
Crises.
To
do
so,
qualitatively
analyzed
news
media
data
employed
topic
modeling
techniques
from
two
years,
capturing
service
disruption
events.
Our
results
reveal
cascading
impacts
outages
end-users,
including
financial,
social,
technical
issues.
over
time,
indicate
that
trust
government
providers
eroded,
which
may
hinder
support.
show
be
useful
tool
utilities
understand
real-time.
Recommendations
proposed
here
inform
future
responses
crises
communities,
ensuring
end-users’
perspectives
incorporated.
American Water Works Association,
Год журнала:
2024,
Номер
116(4), С. 10 - 20
Опубликована: Апрель 15, 2024
Key
Takeaways
Water
service
providers
need
to
prepare
for
more
extreme
weather
events
in
a
changing
climate.
A
geospatial
analysis
found
that
differences
boil‐water
advisory
lengths
issued
during
2021's
Winter
Storm
Uri
were
based
on
the
population
served
and
rural
or
urban
location.
cross‐sectional
survey
showed
many
individuals
unaware
of
confused
about
advisories
(or
not)
issued.