Revista Brasileira de Ciências Ambientais,
Journal Year:
2023,
Volume and Issue:
58(1), P. 91 - 102
Published: Jan. 1, 2023
Reservoirs
worldwide
are
prone
to
water
quality
degradation
caused
by
increased
primary
production.
Therefore,
it
is
essential
comprehend
the
factors
that
influence
this
phenomenon
as
plays
a
fundamental
role
in
controlling
eutrophication.
The
aim
of
study
was
analyze
correlation
between
total
phosphorus
(TP)
and
chlorophyll
(Chla)
155
reservoirs
located
state
Ceará,
Brazil.
This
analysis
conducted
through
comprehensive
examination
historical
data
(2008–2021)
obtained
from
resource
management
company
state,
which
monitors
these
parameters.
TP
Chla
examined
simple
adjustments,
utilizing
coefficient
determination
(R²)
an
evaluation
metric.
Afterward,
investigated
potential
influences
on
dynamics
adjustments
based
such
hydrographic
basin,
reservoir
size,
trophic
(as
for
concentrations),
volumetric
variability
coefficient.
In
general,
yielded
unsatisfactory
models
(R²
<
0.4)
majority
(n
=
115).
Despite
their
inadequacy,
align
with
classic
literature
models,
indicating
most
basins,
higher
availability
column
contributes
concentration.
influencing
pattern
dispersion
revealed
performance
R²
associated
various
factors,
different
watersheds,
variability,
concentrations.
variance
varying
sizes
states
concentration
considered
insignificant.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(21), P. 14117 - 14117
Published: Oct. 29, 2022
Small
reservoirs
play
an
important
role
in
providing
water
to
rural
communities.
Increased
construction
of
small
mitigate
the
effects
droughts
leads
a
High-density
Reservoirs
Network
(HdRN)
reservoirs,
which
can
potentially
modify
streamflows
both
dry
and
wet
periods.
However,
there
is
lack
understanding
interannual
behavior
flow
retention
impact
future
increases
number
mainly
for
HdRN
dryland
catchments.
This
research
aims
determine
possible
increase
on
hydrological
networks,
evaluating
annual
flows
generated
at
outlet
watershed
scenarios
with
different
densities
(number
per
area).
The
study
area
was
Conceição
river
catchment
(3347
km2)
semiarid
Brazil.
model
developed
SWAT.
obtained
appropriate
results
daily
streamflows,
values
0.63,
0.81,
0.53%
NSE,
KGE,
PBIAS,
respectively.
current
density
region
estimated
0.068
square
kilometer
(res/km2).
Eight
expansion
were
defined
between
0.1
res/km2
3.0
res/km2.
showed
that
influence
runoff
reduction
mostly
occurs
probability
exceedance
1%
10%
month
very
months
high
peaks
flow.
due
stronger
during
years
(up
30%)
than
8%),
it
tended
consecutive
rain
(from
about
7%
first
year
20%
last
worst
scenario),
may
intensify
period
extended
droughts.
provides
insights
variability
retention,
help
resources
agencies
better
prepare
hydrologic
extremes
(droughts
floods).
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1870 - 1870
Published: May 24, 2024
It
is
crucial
to
monitor
algal
blooms
in
freshwater
reservoirs
through
an
examination
of
chlorophyll-a
(Chla)
concentrations,
as
they
indicate
the
trophic
condition
these
waterbodies.
Traditional
monitoring
methods,
however,
are
expensive
and
time-consuming.
Addressing
this
hindrance,
we
conducted
a
comprehensive
investigation
using
several
machine
learning
models
for
Chla
modeling.
To
end,
used
situ
collected
water
sample
data
remote
sensing
from
Sentinel-2
satellite,
including
spectral
bands
indices,
large-scale
coverage.
This
approach
allowed
us
conduct
analysis
characterization
concentrations
across
149
Ceará,
semi-arid
region
Brazil.
The
implemented
included
k-nearest
neighbors,
random
forest,
extreme
gradient
boosting,
least
absolute
shrinkage,
group
method
handling
(GMDH);
particular,
GMDH
has
not
been
previously
explored
context.
forward
stepwise
was
determine
best
subset
input
parameters.
Using
70/30
split
training
testing
datasets,
best-performing
model
model,
achieving
R2
0.91,
MAPE
102.34%,
RMSE
20.4
μg/L,
which
were
values
consistent
with
ones
found
literature.
Nevertheless,
predicted
concentration
most
sensitive
red,
green,
near-infrared
bands.
Eutrophication,
a
global
concern,
impacts
water
quality,
ecosystems,
and
human
health.
It’s
crucial
to
monitor
algal
blooms
in
freshwater
reservoirs,
as
they
indicate
the
trophic
condition
of
waterbody
through
Chlorophyll-a
(Chla)
concentration.
Traditional
monitoring
methods,
however,
are
expen-sive
time-consuming.
Addressing
this
hindrance,
we
developed
models
using
remotely
sensed
data
from
Sentinel-2
satellite
for
large-scale
coverage,
including
its
bands
spectral
indexes,
estimate
Chla
concentration
on
149
reservoirs
Ceará,
Brazil.
Several
machine
learning
were
trained
tested,
k-nearest
neighbours,
random
forests,
extreme
gradient
boosting,
least
absolute
shrinkage,
group
method
handling
(GMDH),
sup-port
vector
models.
A
stepwise
approach
determined
best
subset
input
parameters.
Using
70/30
split
training
testing
datasets,
best-performing
model
was
GMDH,
achieving
an
R2
0.91,
MAPE
102.34%,
RMSE
20.38
g/L,
which
values
consistent
with
ones
found
literature.
Nevertheless,
predicted
most
sensitive
red,
green,
near
infra-red
bands.
Desalination and Water Treatment,
Journal Year:
2024,
Volume and Issue:
317, P. 100200 - 100200
Published: Jan. 1, 2024
The
protection
of
water
quality
in
reservoirs,
particularly
those
designated
for
supply,
has
garnered
increasing
attention
environmental
management
purposes.
In
this
paper,
the
Shuangxikou
Reservoir
Yuyao
was
chosen
as
a
case
study.
pollutant
load
at
various
points
within
reservoir
analyzed
and
its
eutrophication
level
evaluated
through
combination
site
surveys
regular
monitoring.
Additionally,
model
trial
algorithm
utilized
to
investigate
environment
capacity
concerning
key
indicators
such
COD,
NH3-N,
TN,
TP
Reservoir.
results
indicated
that
nutrient
fell
mid-trophic
range,
with
being
superior
central
region
compared
other
areas.
However,
when
target
Class
II
surface
mandated
by
functional
zoning,
current
TN
content
exceeds
acceptable
levels.
Consequently,
targeted
measures
are
imperative
enhance
reservoir.
