Understanding Nutrient Loads from Catchment and Eutrophication in a Salt Lagoon: The Mar Menor Case
Water,
Год журнала:
2023,
Номер
15(20), С. 3569 - 3569
Опубликована: Окт. 12, 2023
Eutrophication
is
a
significant
threat
to
aquatic
ecosystems
worldwide,
and
the
Mar
Menor
hypersaline
lagoon
exemplifies
coastal
at
risk
of
algal
blooms
due
excessive
nutrient
loads,
nitrogen,
phosphorus.
These
nutrients
originate
from
various
sources
within
lagoon’s
catchment
area,
including
urban,
agricultural,
livestock
activities.
Regular
occasional
loads—during
flood
events—produce
that
can
significantly
reduce
water
oxygen
content
cause
massive
mortalities,
as
observed
in
recent
years.
A
daily
growth
model
(Mmag)
was
developed
better
understand
processes
determine
key
elements
such
phosphorus
water–sediment
interchange
deep
plants
effect
entire
ecosystem
growth.
The
analysis
be
applied
other
wetlands
around
world
facing
similar
challenges.
In
Menor,
both
nitrogen
have
high
relevance
depending
on
period
year
legacy
sediments.
Floods
are
main
input
(80–90%),
which
goes
sediment
released
after
during
warm
months
following
At
end
summer,
regular
nitrate
inputs
increase
bloom
risk.
good
status
plants,
reduces
release
element
An
integrated
set
measures
required
mean
chlorophyll
levels
under
1
or
0.5
µgChla/L
make
more
robust
resilient.
Язык: Английский
Deep Learning-Based Time Series Forecasting Models Evaluation for the Forecast of Chlorophyll a and Dissolved Oxygen in the Mar Menor
Journal of Marine Science and Engineering,
Год журнала:
2023,
Номер
11(7), С. 1473 - 1473
Опубликована: Июль 24, 2023
The
Mar
Menor
is
a
coastal
lagoon
of
great
socio-ecological
and
environmental
value;
in
recent
years,
different
localized
episodes
hypoxia
eutrophication
have
modified
the
quality
its
waters.
are
due
to
drop
dissolved
oxygen
levels
below
4
mg/L
some
parts
rise
chlorophyll
over
1.8
mg/L.
Considering
that
monitoring
watershed
essential
understand
dynamics
cause
these
dramatic
episodes,
efforts
focused
on
carrying
out
periodic
measurements
biophysical
parameters
water.
Taking
advantage
data
collected
versatility
offered
by
neural
networks,
this
paper
evaluates
performance
dozen
advanced
networks
oriented
time
series
forecasted
for
estimation
parameters.
used
obtained
water
body
means
sensors
carried
multiparameter
oceanographic
probe
two
agro-climatic
stations
located
near
Menor.
For
forecast,
models
based
Time2Vec
architecture,
accompanied
BiLSTM
Transformer,
offer
an
R2
greater
than
0.95.
In
case
a,
three
above
0.92.
These
metrics
corroborated
forecasting
first
step
set
used.
Given
satisfactory
results
obtained,
work
integrated
as
new
parameter
forecast
component
platform
Observatory
developed
IMIDA.
demonstrate
it
feasible
concentration
using
specialized
forecasts.
Язык: Английский
Bioinspired Control Architecture for Adaptive and Resilient Navigation of Unmanned Underwater Vehicle in Monitoring Missions of Submerged Aquatic Vegetation Meadows
Biomimetics,
Год журнала:
2024,
Номер
9(6), С. 329 - 329
Опубликована: Май 30, 2024
Submerged
aquatic
vegetation
plays
a
fundamental
role
as
habitat
for
the
biodiversity
of
marine
species.
To
carry
out
research
and
monitoring
submerged
more
efficiently
accurately,
it
is
important
to
use
advanced
technologies
such
underwater
robots.
However,
when
conducting
missions
capture
photographs
videos
near
meadows,
algae
can
become
entangled
in
propellers
cause
vehicle
failure.
In
this
context,
neurobiologically
inspired
control
architecture
proposed
unmanned
vehicles
with
redundant
thrusters.
The
learns
robot
non-stationary
environment
combines
associative
learning
method
vector
map
generate
transformations
between
spatial
velocity
coordinates
actuator.
experimental
results
obtained
show
that
exhibits
notable
resilience
capabilities
while
maintaining
its
operation
face
thruster
failures.
discussion
obtained,
importance
highlighted
context
conservation
meadows.
Its
resilience,
robustness,
adaptability
make
an
effective
tool
challenges
meet
mission
objectives
critical
environments.
Язык: Английский
Internet of Things (IoT) dalam Estuarine Ecosystem: Kajian Bibliometrik
Naturalis Jurnal Penelitian Pengelolaan Sumber Daya Alam dan Lingkungan,
Год журнала:
2024,
Номер
13(1), С. 52 - 59
Опубликована: Апрель 30, 2024
Kajian
ini
bertujuan
untuk
menganalisis
dan
menyelidiki
literatur
ilmiah
yang
berkaitan
dengan
penerapan
Internet
of
Things
(IoT)
dalam
konteks
ekosistem
muara.
Ekosistem
muara
adalah
lingkungan
kompleks
penting,
sering
kali
menjadi
titik
fokus
upaya
konservasi
pengelolaan
lingkungan.
Dengan
kemajuan
teknologi
IoT,
terdapat
potensi
besar
menyatukan,
mengelola,
melindungi
lebih
efektif.
Penelitian
menyajikan
hasil
kajian
bibliometrik
dari
500
judul
kata
kunci
Estuarine
Ecosystem
pada
sistem
pencarian
menggunakan
Publish
or
Perish
(PoP)
VOS
Viewer,
menghasilkan
meliputi
tren
penelitian,
topik
utama,
menyembunyikan
pengetahuan
dapat
panduan
bagi
peneliti
tertarik
bidang
(IoT).
Tren
penelitian
berhubungan
Muara
diperoleh
5
(lima)
yaitu
prediksi
,
pembelajaran
mendalam
laguna,
Sensor
Teknologi
Informasi
diharapkan
merangsang
diskusi
inovasi
lanjut
IoT
menjaga
Kata
Kunci:
muara,
Understanding nutrient loads from catchment and Mar Menor eutrophication
Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Июнь 12, 2023
Abstract
Eutrophication
is
one
of
the
largest
threats
to
aquatic
ecosystems
in
world.
Mar
Menor
hypersaline
lagoon
an
example
a
coastal
lake
under
eutrophication
risk
due
excessive
nutrients
loads,
nitrogen
and
phosphorus,
that
came
from
its
catchment
area
including
urban
agricultural
sources.
Regular
loads
punctual
during
flooding
events
produce
algae
blooms
can
reduce
significantly
water
oxygen
content
cause
massive
mortalities,
such
as
have
been
occurred
last
years.
A
daily
growth
model
(Mmag)
was
developed
better
understand
processes
determine
key
elements
require
further
analysis
next
years,
phosphorus
water-sediment
interchange
or
deep
plants
effect
entire
ecosystem
growth.
The
strategy
be
applied
other
wetlands
around
In
both
high
relevance
depending
on
period
year
legacy.
An
integrated
set
measures
required
mean
chlorophyll
levels
1
0.5
µgChla/l
make
more
robust
resilient.
Язык: Английский