Assessing urban surface thermal environment and heat health risk in Chinese cities: A twenty-year study
Urban Climate,
Год журнала:
2025,
Номер
59, С. 102304 - 102304
Опубликована: Янв. 27, 2025
Язык: Английский
Avoiding overestimates of climate risks from population ageing
npj Climate and Atmospheric Science,
Год журнала:
2024,
Номер
7(1)
Опубликована: Апрель 13, 2024
Population
ageing
is
expected
to
lead
significant
rises
in
climate
risks
because
vulnerability
sharply
throughout
people's
later
years.
When
assessing
the
of
older
people,
however,
what's
important
isn't
number
years
someone
has
lived
(i.e.
"chronological
age")
but
rather
their
functional
abilities
and
characteristics;
latter
better
captured
by
remaining
life
expectancy
or
"prospective
age".
Here,
we
show
that
growth
size
populations
using
a
prospective
than
chronological
age
perspective
can
help
avoid
overestimates
future
change.
Compared
an
analysis
based
on
age,
projected
increase
vulnerable
population
share
seen
considerably
lower.
The
differences
between
two
perspectives
with
decrease
country
income
level,
are
larger
futures
give
priority
sustainable
development.
Thus,
while
certainly
poses
major
challenges
societies
facing
change,
these
may
be
smaller
thought.
Prospective
offers
relatively
easily
implemented
alternative
for
projecting
accounts
rising
longevity.
Язык: Английский
The reciprocal relation between rising longevity and temperature-related mortality risk in older people, Spain 1980–2018
Environment International,
Год журнала:
2024,
Номер
193, С. 109050 - 109050
Опубликована: Окт. 5, 2024
Temperature-related
mortality
mostly
affects
older
people
and
is
attributable
to
a
combination
of
factors.
We
focussed
on
key
non-temperature
factor
-
rising
longevity
aimed
quantify
its
reciprocal
relation
with
temperature-related
risk
in
Spain
over
1980-2018.
obtained
average
annual
temperature-attributable
deaths
among
aged
65y+,
by
sex
age
group,
for
different
temperature
ranges
(extreme
cold,
moderate
heat,
extreme
heat),
from
previous
study.
Combining
this
population
data
as
well
life
table
information,
we
used:
(i)
counterfactual
approach
assess
the
contribution
changes
absolute
mortality,
(ii)
decomposition
variation
(lifespan
inequality).
Rising
led
considerable
declines
females
males
across
entire
range.
For
it
accounted
about
30%
decrease
(half
total
study
period).
20%
fall
(a
quarter
fall).
In
opposite
direction,
changing
patterns
contributed
higher
expectancy
(accounting
>
rise
both
males)
but
also
lifespan
inequality
amongst
people.
Most
influence
(about
80%)
was
via
at
heat
small
rises
expectancy.
Our
points
benefits
adopting
risk-reduction
strategies
that
aim,
not
only
modifying
hazards
reducing
exposure,
address
socially-generated
vulnerability
This
includes
ensuring
lifespans
lengthen
primarily
through
increases
years
lived
good
health.
Язык: Английский