Environmental Sciences Europe,
Год журнала:
2022,
Номер
34(1)
Опубликована: Окт. 15, 2022
Abstract
Background
Aggregations
of
cyanobacteria
in
lakes
and
reservoirs
are
commonly
associated
with
surface
blooms,
but
may
also
occur
the
metalimnion
as
subsurface
or
deep
chlorophyll
maxima.
Metalimnetic
blooms
great
concern
when
potentially
toxic
species,
such
Planktothrix
rubescens,
involved.
P.
rubescens
have
apparently
increased
frequency
severity
recent
years,
so
there
is
a
strong
need
to
identify
reservoir
management
options
control
it.
We
hypothesized
that
can
be
suppressed
using
selective
withdrawal
maximize
its
export
from
reservoir.
expect
altering
light
climate
affect
dynamics
this
species.
tested
our
hypothesis
Rappbode
Reservoir
(the
largest
drinking
water
Germany)
by
establishing
series
scenarios
based
on
calibrated
quality
model
(CE-QUAL-W2).
Results
The
novel
strategy,
which
withdrawn
certain
depth
below
within
instead
at
fixed
elevation
relative
dam
wall,
significantly
reduced
biomass
According
simulation
results,
we
defined
an
optimal
volume
approximately
10
million
m
3
(10%
volume)
during
bloom
phase.
results
illustrated
growth
most
effectively
if
metalimnetic
applied
early
stage
rapid
growth,
i.e.,
before
occurs.
In
addition,
study
showed
gradually
decreased
increasing
extinction
nearly
disappeared
coefficient
exceeded
0.55
−1
.
Conclusions
Our
indicates
rise
offset
well
reducing
intensity
beneath
surface.
Considering
widespread
occurrence
stratified
worldwide,
believe
will
helpful
for
scientists
managers
working
other
bodies
minimize
negative
impacts
harmful
cyanobacteria.
serve
transferable
tool
explore
local
standing
waters.
Abstract
The
need
to
develop
and
provide
integrated
observation
systems
better
understand
manage
global
regional
environmental
change
is
one
of
the
major
challenges
facing
Earth
system
science
today.
In
2008,
German
Helmholtz
Association
took
up
this
challenge
launched
research
infrastructure
TERrestrial
ENvironmental
Observatories
(TERENO).
aim
TERENO
establishment
maintenance
a
network
observatories
as
basis
for
an
interdisciplinary
long‐term
program
investigate
effects
on
terrestrial
ecosystems
their
socio‐economic
consequences.
State‐of‐the‐art
methods
from
field
monitoring,
geophysics,
remote
sensing,
modeling
are
used
record
analyze
states
fluxes
in
different
disciplines
groundwater
through
vadose
zone,
surface
water,
biosphere,
lower
atmosphere.
Over
past
15
years
we
have
collectively
gained
experience
operating
observing
network,
thereby
overcoming
unexpected
operational
institutional
challenges,
exceeding
expectations,
facilitating
new
research.
Today,
key
pillar
forecasting
Germany,
information
hub
practitioners
policy
stakeholders
agriculture,
forestry,
water
management
at
national
levels,
nucleus
international
collaboration,
academic
training
scientific
outreach,
important
anchor
large‐scale
experiments,
trigger
methodological
innovation
technological
progress.
This
article
describes
TERENO's
services
functions,
presents
main
lessons
learned
15‐year
effort,
emphasizes
continue
monitoring
programmes
future.
Geoscientific model development,
Год журнала:
2022,
Номер
15(5), С. 2197 - 2220
Опубликована: Март 16, 2022
Abstract.
Numerical
models
are
an
important
tool
for
simulating
temperature,
hydrodynamics,
and
water
quality
in
lakes
reservoirs.
Existing
differ
dimensionality
by
considering
spatial
variations
of
simulated
parameters
(e.g.,
flow
velocity
temperature)
one
(1D),
two
(2D)
or
three
(3D)
dimensions.
The
different
approaches
based
on
levels
simplification
the
description
hydrodynamic
processes
result
demands
computational
power.
aim
this
study
is
to
compare
with
dimensionalities
analyze
differences
between
model
results
relation
simplifications.
We
simulations
thermal
stratification,
substance
transport
density
currents
a
medium-sized
drinking-water
reservoir
subtropical
zone,
using
widely
used
open-source
models:
GLM
CE-QUAL-W2
Delft3D
(3D).
were
operated
identical
initial
boundary
conditions
over
1-year
period.
Their
performance
was
assessed
comparing
measurements
turbulence.
Our
show
that
all
capable
seasonal
changes
temperature
stratification.
Flow
velocities,
only
available
2D
3D
approaches,
more
challenging
reproduce,
but
showed
closer
agreement
observations.
With
increasing
dimensionality,
also
increased
terms
error,
correlation
variance.
None
provided
good
observations
mixed
layer
depth,
which
affects
spreading
inflowing
as
build
outputs
models.
Abstract
Water
temperature,
ice
cover,
and
lake
stratification
are
important
physical
properties
of
lakes
reservoirs
that
control
mixing
as
well
bio-geo-chemical
processes
thus
influence
the
water
quality.
We
used
an
ensemble
vertical
one-dimensional
hydrodynamic
models
driven
with
regional
climate
projections
to
calculate
stratification,
cover
under
A1B
emission
scenario
for
German
drinking
reservoir
Lichtenberg.
analysis
variance
method
estimate
contributions
considered
sources
uncertainty
on
output.
For
all
simulated
variables,
epistemic
uncertainty,
which
is
related
model
structure,
dominant
source
throughout
simulation
period.
Nonetheless,
calculated
trends
coherent
among
five
in
line
historical
observations.
The
predicts
increase
surface
temperature
0.34
K
per
decade,
a
lengthening
summer
3.2
days
decreased
probabilities
occurrence
winter
inverse
by
2100.
These
expected
changes
likely
quality
reservoir.
Similar
be
other
comparable
regions.
Abstract
Ecosystems
around
the
globe
are
experiencing
changes
in
both
magnitude
and
fluctuations
of
environmental
conditions
due
to
land
use
climate
change.
In
response,
ecologists
increasingly
using
near‐term,
iterative
ecological
forecasts
predict
how
ecosystems
will
change
future.
To
date,
many
forecasting
systems
have
been
developed
high
temporal
frequency
(minute
hourly
resolution)
data
streams
for
assimilation.
However,
this
approach
may
be
cost‐prohibitive
or
impossible
variables
that
lack
high‐frequency
sensors
latency
(i.e.,
a
delay
before
available
modeling
after
collection).
explore
effects
assimilation
on
forecast
skill,
we
water
temperature
eutrophic
drinking
reservoir
conducted
experiments
by
selectively
withholding
observations
examine
effect
availability
accuracy.
We
used
situ
sensors,
manually
collected
data,
calibrated
quality
ecosystem
model
driven
forecasted
weather
generate
future
Forecasting
Lake
Reservoir
(FLARE),
an
open
source
system.
tested
daily,
weekly,
fortnightly,
monthly
skill
1‐
35‐day‐ahead
forecasts.
found
varied
depending
season,
horizon,
depth,
frequency,
but
overall
performance
was
high,
with
mean
1‐day‐ahead
root
square
error
(RMSE)
0.81°C,
7‐day
RMSE
1.15°C,
35‐day
1.94°C.
Aggregated
across
year,
daily
yielded
most
skillful
at
7‐day‐ahead
horizons,
weekly
resulted
8‐
horizons.
Within
consistently
outperformed
8‐day
horizon
during
mixed
spring/autumn
periods
5‐
14‐day‐ahead
horizons
summer‐stratified
period,
depth.
Our
results
suggest
lower
weekly)
adequate
developing
accurate
some
applications,
further
enabling
development
broadly
without
sensor
data.
Abstract
Globally,
climate
warming
is
increasing
air
temperatures
and
changing
river
flows,
but
few
studies
have
explicitly
considered
the
consequences
for
lake
of
these
dual
effects,
or
potential
to
manage
inflows
mitigate
impacts.
Using
a
one-dimensional
model,
we
tested
sensitivity
separate
interacting
effects
changes
in
temperature
inflow
on
small,
short-residence
time
(annual
average
≈
20
days),
temperate
lake.
Reducing
by
70%
increased
summer
surface
1.0–1.2
°C
water
column
stability
11–19%,
equivalent
effect
1.2
warming.
Conversely,
similar
increases
could
result
cooling,
sufficient
0.75
rise,
more
than
1.1
if
does
not
rise.
We
discuss
how
altering
volume
be
added
suite
adaptation
measures
lakes.
Abstract
We
investigated
trends
in
temperature,
stratification,
and
hypolimnetic
oxygen
concentration
of
German
lakes
under
climate
change
using
observational
data
hydrodynamic
modelling.
Observations
from
46
revealed
that
annually
averaged
surface
temperatures
increased
by
+
0.5
°C
between
1990
2020
while
bottom
remained
almost
constant.
Modelling
12
predicted
further
increases
0.3
°C/decade
until
the
year
2099
most
pessimistic
emission
scenario
RCP
8.5
(RCP
4.5:
0.18
°C/decade;
2.6:
0.04
°C/decade).
Again,
much
less
summer
stratification
extended
up
to
38
days.
Using
a
simplified
model,
we
showed
concentrations
decreased
0.7–1.9
mg
L
−1
response
period.
However,
model
runs
assuming
lower
productivity
(e.
g.
through
nutrient
reduction)
resulted
even
scenario.
Our
results
suggest
negative
effects
on
budget
can
be
efficiently
mitigated
control.