Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
375, P. 124362 - 124362
Published: Feb. 1, 2025
The
Caloosahatchee
Estuary
in
southwest
Florida,
USA,
is
regularly
subject
to
the
introduction
of
toxic
Microcystis
aeruginosa
blooms,
often
originating
from
eutrophic
Lake
Okeechobee
via
C-43
Canal.
focus
this
study
was
determine
responses
one
these
introduced
blooms
progressively
elevated
salinity
levels
as
bloom
water
mass
moved
through
estuary.
In
upper
estuary,
salinities
were
freshwater,
and
surface
large
colonies
M.
observed,
along
with
peak
microcystin
toxin
concentrations
up
107
μg
L-1,
all
particulate
fraction.
mid-estuary,
increased
2-6,
again
259
however,
significant
extracellular
also
observed
(i.e.,
17.8
L-1),
suggesting
a
level
osmotic
stress
on
aeruginosa.
lower
ranged
6
25
very
few
viable
but
0.5
L-1)
present
throughout
column.
It
noteworthy
that
average
total
column
+
extracellular)
remained
constant
movement
during
its
transit
revealing
negligible
rate
degradation
ten-day
transit.
results
provide
insights
into
changes
distribution
gradient,
which
has
implications
for
management
risks
ecosystem
human
health,
how
may
be
affected
by
releases
three
control
structures
Discharge
rates
play
major
roles
Canal-Caloosahatchee
ecosystem.
potential
discharge
regulation
are
discussed
perspectives
allochthonous
autochthonous
origin.
Water,
Journal Year:
2024,
Volume and Issue:
16(17), P. 2525 - 2525
Published: Sept. 5, 2024
Marine
eutrophication,
primarily
driven
by
nutrient
over
input
from
agricultural
runoff,
wastewater
discharge,
and
atmospheric
deposition,
leads
to
harmful
algal
blooms
(HABs)
that
pose
a
severe
threat
marine
ecosystems.
This
review
explores
the
causes,
monitoring
methods,
control
strategies
for
eutrophication
in
environments.
Monitoring
techniques
include
remote
sensing,
automated
situ
sensors,
modeling,
forecasting,
metagenomics.
Remote
sensing
provides
large-scale
temporal
spatial
data,
while
sensors
offer
real-time,
high-resolution
monitoring.
Modeling
forecasting
use
historical
data
environmental
variables
predict
blooms,
metagenomics
insights
into
microbial
community
dynamics.
Control
treatments
encompass
physical,
chemical,
biological
treatments,
as
well
advanced
technologies
like
nanotechnology,
electrocoagulation,
ultrasonic
treatment.
Physical
such
aeration
mixing,
are
effective
but
costly
energy-intensive.
Chemical
including
phosphorus
precipitation,
quickly
reduce
levels
may
have
ecological
side
effects.
Biological
biomanipulation
bioaugmentation,
sustainable
require
careful
management
of
interactions.
Advanced
innovative
solutions
with
varying
costs
sustainability
profiles.
Comparing
these
methods
highlights
trade-offs
between
efficacy,
cost,
impact,
emphasizing
need
integrated
approaches
tailored
specific
conditions.
underscores
importance
combining
mitigate
adverse
effects
on
Abstract
This
study
synthesizes
the
current
understanding
of
hydrological,
impact,
and
adaptation
processes
underlying
drought‐to‐flood
events
(i.e.,
consecutive
drought
flood
events),
how
they
interact.
Based
on
an
analysis
literature
a
global
assessment
historic
cases,
we
show
can
affect
risk
assess
under
which
circumstances
interactions
lead
to
increased
or
decreased
risk.
We
make
distinction
between
socio‐economic
processes.
Hydrological
include
storage
runoff
processes,
both
seem
mostly
play
role
when
is
multiyear
event
occurs
during
drought.
However,
process
dominant
where,
this
influenced
by
human
intervention
needs
further
research.
Processes
related
impacts
have
been
studied
less
than
hydrological
but
in
general,
changes
vulnerability
important
increasing
decreasing
impacts.
Additionally,
there
evidence
water
quality
problems
due
events,
compared
themselves.
Adaptation
affects
(e.g.,
through
groundwater
extraction)
influencing
vulnerability)
There
are
many
examples
adaptation,
limited
where
certain
occur
why.
Overall,
research
scarce.
To
increase
our
need
more
comprehensive
studies
socio‐economic,
their
interactions,
as
well
that
dominance
article
categorized
under:
Science
Water
>
Extremes
Accurate
prediction
of
chlorophyll-a
(Chl-a)
concentrations,
a
key
indicator
eutrophication,
is
essential
for
the
sustainable
management
lake
ecosystems.
This
study
evaluated
performance
Kolmogorov-Arnold
Networks
(KANs)
along
with
three
neural
network
models
(MLP-NN,
LSTM,
and
GRU)
traditional
machine
learning
tools
(RF,
SVR,
GPR)
predicting
time-series
Chl-a
concentrations
in
large
lakes.
Monthly
remote-sensed
data
derived
from
Aqua-MODIS
spanning
September
2002
to
April
2024
were
used.
The
based
on
their
forecasting
capabilities
March
August
2024.
KAN
consistently
outperformed
others
both
test
forecast
(unseen
data)
phases
demonstrated
superior
accuracy
capturing
trends,
dynamic
fluctuations,
peak
concentrations.
Statistical
evaluation
using
ranking
metrics
critical
difference
diagrams
confirmed
KAN's
robust
across
diverse
sites,
further
emphasizing
its
predictive
power.
Our
findings
suggest
that
KAN,
which
leverages
KA
representation
theorem,
offers
improved
handling
nonlinearity
long-term
dependencies
data,
outperforming
grounded
universal
approximation
theorem
algorithms.
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
375, P. 124362 - 124362
Published: Feb. 1, 2025
The
Caloosahatchee
Estuary
in
southwest
Florida,
USA,
is
regularly
subject
to
the
introduction
of
toxic
Microcystis
aeruginosa
blooms,
often
originating
from
eutrophic
Lake
Okeechobee
via
C-43
Canal.
focus
this
study
was
determine
responses
one
these
introduced
blooms
progressively
elevated
salinity
levels
as
bloom
water
mass
moved
through
estuary.
In
upper
estuary,
salinities
were
freshwater,
and
surface
large
colonies
M.
observed,
along
with
peak
microcystin
toxin
concentrations
up
107
μg
L-1,
all
particulate
fraction.
mid-estuary,
increased
2-6,
again
259
however,
significant
extracellular
also
observed
(i.e.,
17.8
L-1),
suggesting
a
level
osmotic
stress
on
aeruginosa.
lower
ranged
6
25
very
few
viable
but
0.5
L-1)
present
throughout
column.
It
noteworthy
that
average
total
column
+
extracellular)
remained
constant
movement
during
its
transit
revealing
negligible
rate
degradation
ten-day
transit.
results
provide
insights
into
changes
distribution
gradient,
which
has
implications
for
management
risks
ecosystem
human
health,
how
may
be
affected
by
releases
three
control
structures
Discharge
rates
play
major
roles
Canal-Caloosahatchee
ecosystem.
potential
discharge
regulation
are
discussed
perspectives
allochthonous
autochthonous
origin.