How to Apply Bayesian Networks as an Integration and Learning Tool to Assess Acceptance and Implementation Probability of Climate Change Adaptation Measures in Participatory Processes
Laura Müller,
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Max Czymai,
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Birgit Blättel‐Mink
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et al.
Published: Jan. 1, 2024
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Language: Английский
Groundwater level projections for aquifers affected by annual to decadal hydroclimate variations
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 2, 2024
In
a
context
where
anticipating
future
trends
and
long-term
variations
in
water
resources
is
crucial,
improving
our
knowledge
about
most
types
of
aquifer
responses
to
climate
variability
change
necessary.
Aquifers
with
dominated
by
seasonal
(marked
annual
cycle)
or
low-frequency
(interannual
decadal
driven
large-scale
dynamics)
may
encounter
different
sensitivities
change.
We
investigated
this
hypothesis
generating
groundwater
level
projections
using
deep
learning
models
for
annual,
inertial
(low-frequency
dominated)
mixed
annual/low-frequency
northern
France
from
16
CMIP6
model
inputs
an
ensemble
approach.
Generated
were
then
analysed
changes
variability.
Generally,
levels
tended
decrease
all
scenarios
across
the
2030-2100.
The
showed
slightly
increasing
but
decreasing
types.
As
severity
scenario
increased,
more
inertial-type
stations
appeared
be
affected
Focusing
on
confirmed
observation:
while
significant
amount
less
severe
SSP
2-4.5
scenario,
eventually
slight
yet
statistically
as
increased.
For
almost
Finally,
seemed,
instances,
higher
than
historical
period,
without
any
differences
between
emission
scenarios.
Language: Английский
Groundwater stress in Europe—assessing uncertainties in future groundwater discharge alterations due to water abstractions and climate change
Frontiers in Water,
Journal Year:
2024,
Volume and Issue:
6
Published: Oct. 30, 2024
Groundwater
sustains
human
well-being
and
ecosystems
functioning.
Many
regions
in
Europe
have
experienced
declining
groundwater
levels
caused
by
decreasing
recharge
(GWR)
or
increasing
abstractions
(GWAs).
These
changes
can
lead
to
groundwater-related
stress,
threatening
water
supplies.
Existing
stress
indicators
estimate
during
a
given
period
but
do
not
address
how
show
the
uncertainty
of
future
stress.
We
propose
novel
indicator
(GWSI)
due
GWR
GWA
and,
thus,
alteration
long-term
mean
annual
discharge
(GWD).
is
defined
as
any
GWD
since
are
adapted
an
equilibrium
state.
Focusing
on
GWD,
which
generally
more
harmful
than
we
quantified
GWSI
integrating
scenarios
2070–2099.
was
evaluated
using
ISIMIP2b
multi-model
ensemble
eight
global
hydrological
models
driven
output
four
climate
under
two
greenhouse
gas
emission
scenarios.
for
irrigation,
domestic
manufacturing
sectors
were
combined
with
projections
generate
GWSIs,
simplified
into
three
(high,
intermediate,
low).
Projected
GWSIs
vary
significantly
among
For
high-stress
scenario,
58%
Europe’s
land
area
projected
experience
decrease
at
least
25%
RCP8.5
compared
38%
RCP2.6,
while
respective
values
26
1%
intermediate-stress
scenario.
demand
management
alone
might
prevent
declines
intermediate
scenarios,
particularly
RCP8.5.
Therefore,
change
mitigation
imperative
reducing
decline
especially
Eastern
Southeastern
Europe,
where
be
primary
cause
(in
high
abstraction
scenario
RCP8.5).
Under
reductions
GWAs
25–75%
balance
parts
Spain
Italy
high,
even
In
line
precautionary
principle,
recommend
adapting
minimize
harm
beneficiaries
groundwater.
Language: Английский