Sustainability,
Год журнала:
2023,
Номер
15(13), С. 10692 - 10692
Опубликована: Июль 6, 2023
Recent
drought
events
in
Europe
have
highlighted
the
impact
of
hydrological
and
low-flow
on
society,
ecosystems,
economy.
While
there
are
numerous
publications
about
flood
risk
management
socio-economic
consequences
floods,
these
hardly
been
systematically
dealt
with
scientific
literature
regarding
low
flows.
This
paper
fills
this
gap
by
summarizing
current
state
research
form
a
systematic
review
combining
criteria
drivers–pressures–state–impacts–responses
(DPSIR)
framework
propositional
inventory
method.
In
particular,
driving
forces
events,
their
pressures,
impacts
different
economic
sectors
such
as
navigation,
fisheries,
industry,
agriculture,
forestry,
energy,
tourism
recreation
well
resulting
competitive
usage
claims
for
water
responses
presented
validated
through
expert
interviews.
doing
so,
study
examines
causal
chain
serves
fundamental
base
future
development
damage
cost
database
preparing
data
parameterization.
Water Resources Research,
Год журнала:
2024,
Номер
60(3)
Опубликована: Март 1, 2024
Abstract
Collaborative
management
of
the
water‐energy‐food‐ecosystems
(WEFE)
nexus
can
contribute
significantly
to
sustainable
development.
However,
multiple
decision‐making
levels
with
diverse
preferences
and
uncertainties
in
different
forms
pose
intractable
challenges
process.
In
this
study,
a
novel
optimization
method
named
as
multi‐level
chance‐constrained
fuzzy
programming
(MCFP)
is
developed
jointly
manage
WEFE
nexus.
MCFP
has
advantages
evaluating
trade‐offs
among
competitive
decision
makers,
solving
decentralized
planning
problems
hierarchical
structure,
tackling
expressed
randomness
vagueness.
then
applied
Central
Asia,
where
five
countries,
43
states,
six
water
sources,
eight
users
are
involved
over
long‐term
horizon
(2021–2050).
A
set
scenarios
designed
reflect
based
on
irrigation
efficiencies,
food,
ecological
electricity
demands
well
constraint‐violation
probability
system
credibility
levels.
The
major
findings
are:
(a)
proportion
agricultural
allocation
would
reduce
45.4%–56.6%
by
2050
save
more
for
ensuring
restoration
energy
supply;
(b)
order
balance
support
regional
development,
policymakers
should
sacrifice
some
benefits,
strict
arable
land
limits
cereal
crops,
improve
efficiency
through
adopting
drip
sprinkler
irrigation,
avoid
effects
paradox.
helpful
gaining
insight
into
interrelationships
water,
energy,
food
ecosystems
making
decisions
collaborative
system.
Environmental Modelling & Software,
Год журнала:
2024,
Номер
181, С. 106182 - 106182
Опубликована: Авг. 10, 2024
Attaining
resource
security
in
the
water,
energy,
food,
and
ecosystem
(WEFE)
sectors,
WEFE
nexus,
is
paramount.
This
necessitates
use
of
quantitative
modelling,
which
presents
many
challenges,
as
this
a
complex
system
acting
at
intersection
physical-
social
sciences.
However,
data
becoming
more
widely
available,
data-driven
methods
modelling
are
increasingly
viable.
Here,
we
discuss
two
main
problems
nexus
modelling:
identification
control.
System
uses
Machine
Learning
algorithms
to
obtain
dynamical
models
from
have
shown
promise
disciplines
with
similar
characteristics
nexus.
Meanwhile,
control
manipulate
achieve
objectives
instrumental
shaping
policy.
Despite
these
algorithms,
vast
daunting
field,
so
here
provide
an
introductory
overview
emphasis
on
applications.
Journal of Hydrology,
Год журнала:
2023,
Номер
623, С. 129807 - 129807
Опубликована: Июнь 15, 2023
Hydrological
climate-change-impact
studies
depend
on
climatic
variables
simulated
by
climate
models.
Due
to
parametrization
and
numerous
simplifications,
however,
climate-model
outputs
come
with
systematic
biases
compared
the
observations.
In
past
decade,
several
methods
of
different
complexity
dimensionality
for
adjustment
such
were
introduced,
but
their
benefits
impact
accurate
streamflow
projections
are
still
debated.
this
paper,
we
evaluated
ability
two
state-of-the-art,
advanced
multivariate
bias-adjustment
accurately
reproduce
16
hydrological
signatures,
performance
against
parsimonious
univariate
based
a
multi-criteria
evaluation.
The
results
indicated
that
all
considerably
reduced
increased
consistency
signatures.
added
value
in
maintaining
dependence
structures
between
precipitation
temperature
was
not
systematically
reflected
resulting
as
they
generally
outperformed
methods.
only
emerged
low-flow
signatures
snowmelt-driven
catchments.
Based
these
findings,
identified
most
suitable
water-resources
management
Nordic
regions
under
changing
climate,
provided
practical
guidelines
selection
given
specific
research
targets
hydroclimatic
regimes.
Abstract
Climate
change
and
global
warming
have
increased
the
frequency
of
extreme
events,
particularly
over
past
decades.
Changes
in
drought
are
not
yet
understood,
especially
regarding
which
features
becoming
more
frequent
(e.g.,
longer
or
high-magnitude
droughts
frequent,
both?).
In
this
study,
we
present
a
novel
methodology
to
accurately
consistently
estimate
changes
return
periods
different
types
droughts.
For
purpose,
implemented
copula-entropy
theory
assess
frequencies
their
changes.
As
an
example
application
proposed
method,
used
data
from
European
Assessment
Dataset
(ECA&D),
selected
26
stations
Central
Europe
with
100
years
low
incidence
missing
days
(
$$\le$$
≤
0.3%).
The
results
new
analysis
indicate
that
there
was
high
variability
patterns
across
last
century;
however,
most
regions
experienced
increase
medium-to-high
intensity
use
is
reliable
method
allows
systematic
monitoring
easy
updating
current
knowledge,
computationally
efficient
statistically
robust.
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
23, С. 100414 - 100414
Опубликована: Май 24, 2024
The
impact
of
low
flows
on
riverine
ecology
in
Sweden
is
not
fully
understood.
Recent
summer
droughts,
along
with
their
regionally
projected
increase,
together
demonstrate
the
need
for
a
more
solid
foundation
guiding
ecologically
responsible
planning.
Impact
assessments
can
be
made
via
indicator
species
sensitive
to
flow,
if
response
flow
conditions
clearly
understood,
using
example
historical
data
abundance
and
flow.
In
Swedish
rivers,
there
are
extensive
electrofishing
special
focus
salmonids,
predominantly
brown
trout
Salmo
trutta,
which
previously
reported
There
also
available
national
river
flows,
largely
based
simulations.
We
processed
used
these
sets,
information
additional
environmental
factors.
tested
sites
had
less
than
median
during
year
minimum
winter
or
low-flow.
Adverse
impacts
could
shown
only
young-of-the-year
trout.
was
small
at
most
57
%
remaining
having
lower
(compared
44
overall)
lowest
insubstantial
effect
means
that
as
low-flow
cannot
supported
by
currently
data.
believe
main
causes
effects
limitations
time
resolution
spatial
data,
followed
ability
escape
seeking
deeper
habitats.
Water,
Год журнала:
2024,
Номер
16(23), С. 3465 - 3465
Опубликована: Дек. 2, 2024
A
serious
natural
disaster
that
poses
a
threat
to
people
and
their
living
spaces
is
drought,
which
difficult
notice
at
first
can
quickly
spread
wide
areas
through
subtle
progression.
Numerous
methods
are
being
explored
identify,
prevent,
mitigate
distinct
metrics
have
been
developed.
In
order
contribute
the
research
on
measures
be
taken
against
Standard
Precipitation
Evaporation
Index
(SPEI),
one
of
drought
indices
has
developed
accepted
in
recent
years
includes
more
comprehensive
definition,
was
chosen
this
study.
Machine
learning
deep
algorithms,
including
support
vector
machine
(SVM),
random
forest
(RF),
long
short-term
memory
(LSTM),
Gaussian
process
regression
(GPR),
were
used
model
droughts
six
regions
Norway:
Bodø,
Karasjok,
Oslo,
Tromsø,
Trondheim,
Vadsø.
Four
architectures
employed
for
goal,
as
novel
approach,
models’
output
enhanced
by
using
discrete
wavelet
decomposition/transformation
(WT).
The
outputs
evaluated
correlation
coefficient
(r),
Nash–Sutcliffe
efficiency
(NSE),
root
mean
square
error
(RMSE)
performance
evaluation
criteria.
When
findings
analyzed,
GPR
(W-GPR),
acquired
after
WT,
typically
produced
best
results.
Furthermore,
it
discovered
that,
out
all
recognized
models,
M04
had
most
effective
structure.
Consequently,
successful
outcomes
obtained
with
W-SVM-M04
Bodø
W-GPR-M04
Oslo
region
results
across
(r:
0.9983,
NSE:
0.9966
RMSE:0.0539).
