Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(15), P. 3809 - 3809
Published: July 31, 2023
Lake
Xingkai
is
a
large
turbid
lake
composed
of
two
parts,
Small
and
Big
Xingkai,
on
the
border
between
Russia
China,
where
it
represents
vital
source
water,
fishing,
water
transport,
recreation,
tourism.
Chlorophyll-a
(Chla)
prominent
phytoplankton
pigment
proxy
for
biomass,
reflecting
trophic
status
waters.
Regularly
monitoring
Chla
concentrations
issuing
timely
warnings
this
lake’s
eutrophication.
Owing
to
its
higher
spatial
temporal
coverages,
remote
sensing
can
provide
synoptic
complement
traditional
measurement
methods
by
targeting
optical
absorption
signals,
especially
lakes
that
lack
regular
in
situ
sampling
cruises,
like
Xingkai.
This
study
calibrated
validated
several
commonly
used
retrieval
algorithms
(including
two-band
ratio,
three-band
method,
four-band
baseline
methods)
applying
them
Sentinel-3
Ocean
Land
Colour
Instrument
(OLCI)
images
Among
these
algorithms,
model
(FBA),
which
removes
signal
detritus
colored
dissolved
organic
matter,
was
best-performing
with
an
R2
0.64
mean
absolute
percentage
difference
38.26%.
With
FBA
applied
OLCI
images,
monthly
distributions
were
studied
from
2016
2022.
The
results
showed
over
seven
years,
than
Unlike
other
eutrophic
China
(e.g.,
Taihu
Chaohu),
did
not
display
stable
seasonal
variation
pattern.
We
also
found
uncertainties
limitations
algorithm
models
when
using
larger
satellite
zenith
angle
or
algal
bloom
area.
Recent
increases
anthropogenic
nutrient
loading,
clarity,
warming
temperatures
may
lead
rising
biomass
be
satellite-based
quality.
Lake and Reservoir Management,
Journal Year:
2023,
Volume and Issue:
39(1), P. 1 - 20
Published: Jan. 2, 2023
Favot
EJ,
Holeton
C,
DeSellas
AM,
Paterson
AM.
2023.
Cyanobacterial
blooms
in
Ontario,
Canada:
continued
increase
reports
through
the
21st
century.
Lake
Reserv
Manage.
39:1–20.The
Ontario
Ministry
of
Environment,
Conservation
and
Parks
samples
algal
composition
response
to
public
suspected
blooms,
which
have
been
tracked
since
1994.
In
a
previous
analysis,
Winter
et
al.
noted
significant
number
confirmed
dominated
by
cyanobacteria
from
1994
2009.
Here,
we
determined
that
this
increasing
trend
yearly
cyanobacterial
bloom
(CCBRs)
has
persisted
over
intervening
decade,
2019.
More
than
half
CCBRs
were
waterbodies
on
Precambrian
Shield,
Georgian
Bay
(5E)
ecoregion,
known
for
cottaging
water-based
tourism.
Data
Partner
Program
(LPP)
was
used
investigate
total
phosphorus
(TP)
concentrations
with
CCBRs.
Approximately
44%
CCBR
(mean
TP
12.99
µg/L,
n
=
135)
had
average
spring
less
10
compared
64%
LPP
no
reported
or
9.79
918).
The
most
common
taxon
dominating
inland
Dolichospermum,
followed
Aphanizomenon
Microcystis
Mixedwood
Plains
ecozone
southern
Ontario.
While
an
awareness
cannot
be
ruled
out
contributing
rise
across
high
proportion
occurring
oligotrophic
suggests
there
may
link
climate
warming,
rendering
conditions
more
favorable
these
occur.
Water,
Journal Year:
2023,
Volume and Issue:
15(15), P. 2808 - 2808
Published: Aug. 3, 2023
Cyanobacteria
are
the
most
common
toxigenic
algae
in
inland
waters.
Their
toxins
can
affect
health
of
aquatic
and
terrestrial
organisms,
including
humans.
Other
algal
groups,
such
as
haptophytes
(e.g.,
Prymnesium
parvum)
euglenoids
Euglena
sanguinea),
also
form
harmful
blooms
(HABs)
whose
cause
injury
to
biota
but
currently
have
no
known
effects
on
human
health.
parvum,
however,
is
responsible
for
some
worst
HAB-related
ecological
disasters
recorded
Here,
we
provide
an
overview
primary
found
U.S.
waters:
cyanobacteria
(planktonic
forms),
P.
E.
sanguinea
with
objective
describing
their
similarities
differences
areas
HAB
ecology,
toxins,
potential
future
range
expansion
HABs.
A
detailed
account
bloom
habitats
associations
land
cover
use
provided
from
perspective
water
quality.
This
review
revealed
that
salinity
may
influence
cyanobacterial
cyanotoxins
had
not
been
fully
recognized
previously.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
30(1)
Published: Nov. 22, 2023
Abstract
Lakes
worldwide
are
affected
by
multiple
stressors,
including
climate
change.
This
includes
massive
loading
of
both
nutrients
and
humic
substances
to
lakes
during
extreme
weather
events,
which
also
may
disrupt
thermal
stratification.
Since
multi‐stressor
effects
vary
widely
in
space
time,
their
combined
ecological
impacts
remain
difficult
predict.
Therefore,
we
two
consecutive
large
enclosure
experiments
with
a
comprehensive
time‐series
broad‐scale
field
survey
unravel
the
storm‐induced
lake
browning,
nutrient
enrichment
deep
mixing
on
phytoplankton
communities,
focusing
particularly
potentially
toxic
cyanobacterial
blooms.
The
experimental
results
revealed
that
browning
counteracted
stimulating
effect
caused
shift
from
phototrophic
cyanobacteria
chlorophytes
mixotrophic
cryptophytes.
Light
limitation
was
identified
as
likely
mechanism
underlying
this
response.
Deep‐mixing
increased
microcystin
concentrations
clear
nutrient‐enriched
enclosures,
upwelling
metalimnetic
Planktothrix
rubescens
population.
Monitoring
data
25‐year
eutrophic
588
northern
European
corroborate
results:
Browning
suppresses
terms
biovolume
proportion
total
biovolume.
Both
observational
indicated
lower
phosphorus
threshold
for
bloom
development
clearwater
(10–20
μg
P
L
−1
)
than
(20–30
).
finding
provides
management
guidance
receiving
more
due
frequent
events.
IEEE Sensors Journal,
Journal Year:
2024,
Volume and Issue:
24(7), P. 11414 - 11424
Published: Feb. 14, 2024
Harmful
algal
blooms
(HABs)
frequently
occur
in
coastal
and
inland
water
bodies,
resulting
detrimental
health
economic
consequences.
In
freshwater,
HABs
are
often
dominated
by
cyanobacteria
(CyanoHABs
or
cHABs),
which
produce
a
suite
of
secondary
metabolites
ranging
from
taste
odor
compounds
to
liver
neurological
toxins.
Recently,
uncrewed
aerial
vehicles
(UAVs)
have
emerged
as
cost-effective
remote
sensing
solution
for
using
imaging
cameras
monitor
the
distribution
HABs.
However,
most
these
systems
unable
concurrently
measure
crucial
parameters,
requiring
additional
situ
measurements
sample
collection.
The
UAV
system
developed
this
work
presents
comprehensive
platform
that
integrates
multiple
sensors,
including
near-infrared
(NIR)
multispectral
temperature,
pH,
turbidity
sensors.
integrated
sensor
can
not
only
HAB
distributions
but
also
essential
quality
parameters.
addition,
electromechanical
3-D-printed
sampling
structure
is
designed
collect
samples
laboratory
analysis
chemical
biological
samples.
To
ensure
real-time
data
transmission,
long-range
wide
area
network
(LoRaWAN)
developed.
An
ArcGIS
database
implemented
mapping.
Comprehensive
field
tests
been
performed
performance
validation
assessment.
Journal of Great Lakes Research,
Journal Year:
2024,
Volume and Issue:
50(3), P. 102336 - 102336
Published: April 1, 2024
Lake
Erie
algal
bloom
discussions
have
historically
focused
on
cyanobacteria,
with
foundational
"blooms
like
it
hot"
and
"high
nutrient"
paradigms
considered
as
primary
drivers
behind
cyanobacterial
success.
Yet,
recent
surveys
rediscovered
winter-spring
diatom
blooms,
introducing
another
key
player
in
the
eutrophication
story
which
has
been
overlooked.
These
blooms
(summer
vs.
winter)
treated
solitary
events
separated
by
spatial
temporal
gradients.
However,
new
evidence
suggests
they
may
not
be
so
isolated,
linked
a
manner
that
manifests
an
cycle.
Equally
notable
are
emerging
reports
of
cold
and/or
oligotrophic
freshwaters,
interpreted
some
shifts
classical
paradigms.
led
many
to
ask
"what
is
bloom?".
Furthermore,
questioning
classic
caused
others
wonder
if
we
overlooking
additional
factors
constrain
In
light
data
ideas,
revisited
concepts
within
context
derived
five
take-aways:
1)
Additional
bloom-formers
(diatoms)
need
included
discussions,
2)
The
term
"bloom"
must
reinforced
clear
definition
quantitative
metrics
for
each
event,
3)
Algal
should
studied
solitarily,
4)
Shifts
physiochemical
conditions
serve
alternative
interpretation
potential
ecological
paradigms,
5)
success
succession
(i.e.,
pH
light)
require
consideration.
Annals of the New York Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 9, 2024
Abstract
Clean,
abundant
water
is
essential
to
the
health
of
New
York
State's
residents,
ecosystems,
and
economy.
This
critical
natural
resource
faces
numerous
challenges
associated
with
climate
change,
including
potential
impacts
on
quality
quantity
source
waters—both
surface
waters
groundwater.
Climate
change
can
also
affect
infrastructure
that
treats
delivers
safe
drinking
Yorkers,
manages
wastewater
protect
quality,
protects
against
flooding.
The
Water
Resources
chapter
examines
these
highlights
opportunities
for
Yorkers
adapt
build
resilience
as
state's
changes.