Pivotal role of snow depth, local atmospheric conditions, and large-scale climate signals on ice thinning in Finnish lakes
The Science of The Total Environment,
Год журнала:
2025,
Номер
966, С. 178715 - 178715
Опубликована: Фев. 1, 2025
Язык: Английский
Hybrid emotional neural networks and novel multi-model stacking algorithms for multi-lake water level fluctuation modeling
Earth Science Informatics,
Год журнала:
2025,
Номер
18(2)
Опубликована: Фев. 1, 2025
Язык: Английский
Impact of seasonal climate variability on constructed wetland treatment efficiency
Journal of Water Process Engineering,
Год журнала:
2025,
Номер
72, С. 107350 - 107350
Опубликована: Март 13, 2025
Язык: Английский
A long-read sequencing approach to high-resolution profiling of bacterioplankton diversity in a shallow freshwater lake
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 10, 2025
Lake
Balaton,
a
large
shallow
freshwater
lake
in
Hungary,
exhibits
diverse
bacterioplankton
communities
influenced
by
various
environmental
factors.
This
study
aims
to
evaluate
the
bacterial
diversity
Balaton
using
long-read
approach
16
S
rRNA
gene
sequencing.
Water
samples
were
collected
from
wide
network
of
33
locations
across
lake's
four
basins
and
analyzed
for
community
composition.
Sequencing
results
revealed
high
taxonomic
with
significant
zonal
variations.
Dominant
families
included
Comamonadaceae,
Burkholderiaceae,
Methylophilaceae.
Environmental
parameters
such
as
temperature,
pH,
CDOM
found
significantly
correlate
abundance
diversity.
The
underscores
utility
portability
sequencing
technology
assessing
microbial
provides
insights
into
ecological
dynamics
lakes.
Язык: Английский
New insights on biomass production in lakes: Integration of Carlson trophic state index and vertically generalized production model
Ecological Indicators,
Год журнала:
2025,
Номер
174, С. 113450 - 113450
Опубликована: Апрель 11, 2025
Язык: Английский
Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 14, 2025
To
address
the
limitations
of
existing
water
quality
prediction
models
in
handling
non-stationary
data
and
capturing
multi-scale
features,
this
study
proposes
a
hybrid
model
integrating
Complete
Ensemble
Empirical
Mode
Decomposition
with
Adaptive
Noise
(CEEMDAN),
Variational
(VMD),
Long
Short-Term
Memory
Network
(LSTM),
Frequency-Enhanced
Channel
Attention
(FECA).
The
aims
to
improve
accuracy
robustness
for
complex
dynamics,
which
is
critical
environmental
protection
sustainable
resource
management.
First,
CEEMDAN
Sample
Entropy
(SE)
were
used
decompose
raw
into
interpretable
components
filter
noise.
Then,
VMD-enhanced
LSTM
architecture
embedded
FECA
was
developed
adaptively
prioritize
frequency-specific
thereby
improving
model's
ability
handle
nonlinear
patterns.
Results
show
that
successful
predicting
all
six
indicators:
NH₃-N
(ammonia
nitrogen),
DO
(dissolved
oxygen),
pH,
TN
(total
TP
phosphorus),
CODMn
(chemical
oxygen
demand,
permanganate
method).
achieved
Nash-Sutcliffe
Efficiency
(NSE)
values
ranging
from
0.88
0.99.
Using
dissolved
(DO)
as
an
example,
reduced
Mean
Absolute
Percentage
Error
(MAPE)
by
0.12%
increased
coefficient
determination
(R2)
0.20%
compared
baseline
methods.
This
work
provides
robust
framework
real-time
monitoring
supports
decision
making
pollution
control
ecosystem
Язык: Английский
AI-driven opportunities and challenges in lake remote sensing
Опубликована: Апрель 1, 2025
Evaluating the applicability of machine learning and deep learning models for predicting cyanobacterial alert levels in a drinking water reservoir
Journal of Water Process Engineering,
Год журнала:
2025,
Номер
73, С. 107685 - 107685
Опубликована: Апрель 18, 2025
Язык: Английский
Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring and summer
Ecological Informatics,
Год журнала:
2025,
Номер
unknown, С. 103153 - 103153
Опубликована: Апрель 1, 2025
Язык: Английский