Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(14), P. 2611 - 2611
Published: July 17, 2024
Due
to
the
external
environment
and
buoyancy
of
cyanobacteria,
inhomogeneous
vertical
distribution
phytoplankton
in
eutrophic
lakes
affects
remote
sensing
reflectance
(Rrs)
inversion
surface
chlorophyll-a
concentration
(Chla).
In
this
study,
profiles
Chla(z)
(where
z
is
water
depth)
field
Rrs
(Rrs_F)
were
collected
utilized
retrieve
Chla
Lake
Chaohu
China.
was
categorized
into
vertically
uniform
(Type
1:
N
=
166)
non-uniform
2:
58)
types.
Based
on
validation
atmospheric
correction
performance
Geostationary
Ocean
Color
Imager
(GOCI),
a
model
developed
for
from
2011
2020
using
GOCI
data
(Rrs_G).
(1)
Five
functions
compared,
best
result
found
×
exp(b
z)
+
c
(R2
0.98,
RMSE
38.15
μg/L).
(2)
A
decision
tree
established
with
alternative
floating
algae
index
(AFAIRrs),
fluorescence
line
height
(FLH),
wind
speed
(WIN),
where
overall
accuracy
89%
Kappa
coefficient
0.79.
The
Type
1
empirical
relationship
between
(z
surface)
AFAIRrs
0.58,
10.17
For
2,
multivariate
regression
models
estimate
structural
parameters
combined
Rrs_G
environmental
0.75,
72.80
(3)
There
are
obvious
spatial
variations
Chla(z),
especially
depth
0.1
m;
largest
diurnal
observed
at
12:16
13:16
local
time.
method
can
determine
different
layers
each
pixel,
which
important
scientific
assessment
biomass
lake
carbon
provide
information
short-term
prediction
algal
blooms
(and
generation
corresponding
warnings)
management.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(20), P. 3834 - 3834
Published: Oct. 15, 2024
Water
scarcity
and
ecological
degradation
in
arid
zones
present
significant
challenges
to
regional
health.
Despite
this,
integrating
the
water
supply–demand
balance
supply
security
(SEC)
into
health
assessments—particularly
through
composite
indicators—remains
underexplored
regions.
In
this
study,
we
assessed
changes
Xinjiang
by
utilizing
multivariate
remote
sensing
data,
focusing
on
between
demand,
degree
of
SEC,
ecosystem
resilience
(ER).
Our
results
indicate
that
while
demand
remained
relatively
stable
northern
2000
2020,
conflict
intensified
southern
eastern
agricultural
SEC
evaluations
revealed
73.3%
region
experienced
varying
degrees
decline
over
20-year
period.
Additionally,
ER
assessments
showed
7.12%
exhibited
a
decline,
with
78.6%
experiencing
overall
reductions
The
indicators’
response
drought
demonstrated
improvements
during
wet
conditions
were
less
pronounced
than
declines
droughts.
This
study
underscores
necessity
prioritizing
areas
lower
future
allocation
strategies
optimize
resource
utilization.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9229 - 9229
Published: Oct. 24, 2024
The
Tibetan
Plateau
is
the
“Asia
Water
Tower”
and
pivotal
for
Asia
whole
world.
Groundwater
essential
sustainable
development
in
its
alpine
regions,
yet
chemical
quality
increasingly
limits
usability.
present
research
examines
hydrochemical
characteristics
origins
of
phreatic
groundwater
irrigation
areas.
study
probes
signatures,
quality,
regulatory
mechanisms
a
representative
area
Plateau.
findings
indicate
that
maintains
slightly
alkaline
fresh
status,
with
pH
values
ranging
from
7.07
to
8.06
Total
Dissolved
Solids
(TDS)
between
300.25
638.38
mg/L.
composition
mainly
HCO3-Ca
type,
minority
HCO3-Na·Ca
types,
closely
mirroring
profile
river
water.
Nitrogen
contaminants,
including
NO3−,
NO2−,
NH4+,
exhibit
considerable
concentration
fluctuations
within
aquifer.
Approximately
9.09%
sampled
groundwaters
exceed
NO2−
threshold
0.02
mg/L,
28.57%
surpass
NH4+
limit
0.2
mg/L
potable
water
standards.
All
are
below
permissible
NO3−
(50
mg/L).
Phreatic
exhibits
relatively
good
potability,
as
assessed
by
entropy-weighted
index
(EWQI),
95.24%
having
an
EWQI
value
100.
However,
potential
health
risks
associated
elevated
levels,
rather
than
merit
attention
when
such
consumed
minors
at
certain
sporadic
sampling
locations.
does
not
sodium
hazards
or
soil
permeability
damage,
salinity
require
attention.
makeup
primarily
dictated
rock–water
interactions,
silicate
weathering
cation
exchange
reactions,
occasional
influences
dissolution
evaporites
carbonates,
well
reverse
cation-exchange
processes.
While
agricultural
activities
have
caused
notable
rise
salinity,
they
main
contributors
nitrogen
pollution
area’s
groundwater.
Agricultural-derived
pollutants
vigilant
monitoring
avert
extensive
deterioration
ensure
management
resources
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1821 - 1821
Published: May 21, 2024
In
the
past
few
decades,
with
advent
of
climate
change,
population
growth,
agricultural
irrigation,
and
industrial
development,
there
have
been
increasing
demands
for
water
resources
across
globe,
especially
in
widely
distributed
arid
areas
or
densely
populated
[...]
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(14), P. 2611 - 2611
Published: July 17, 2024
Due
to
the
external
environment
and
buoyancy
of
cyanobacteria,
inhomogeneous
vertical
distribution
phytoplankton
in
eutrophic
lakes
affects
remote
sensing
reflectance
(Rrs)
inversion
surface
chlorophyll-a
concentration
(Chla).
In
this
study,
profiles
Chla(z)
(where
z
is
water
depth)
field
Rrs
(Rrs_F)
were
collected
utilized
retrieve
Chla
Lake
Chaohu
China.
was
categorized
into
vertically
uniform
(Type
1:
N
=
166)
non-uniform
2:
58)
types.
Based
on
validation
atmospheric
correction
performance
Geostationary
Ocean
Color
Imager
(GOCI),
a
model
developed
for
from
2011
2020
using
GOCI
data
(Rrs_G).
(1)
Five
functions
compared,
best
result
found
×
exp(b
z)
+
c
(R2
0.98,
RMSE
38.15
μg/L).
(2)
A
decision
tree
established
with
alternative
floating
algae
index
(AFAIRrs),
fluorescence
line
height
(FLH),
wind
speed
(WIN),
where
overall
accuracy
89%
Kappa
coefficient
0.79.
The
Type
1
empirical
relationship
between
(z
surface)
AFAIRrs
0.58,
10.17
For
2,
multivariate
regression
models
estimate
structural
parameters
combined
Rrs_G
environmental
0.75,
72.80
(3)
There
are
obvious
spatial
variations
Chla(z),
especially
depth
0.1
m;
largest
diurnal
observed
at
12:16
13:16
local
time.
method
can
determine
different
layers
each
pixel,
which
important
scientific
assessment
biomass
lake
carbon
provide
information
short-term
prediction
algal
blooms
(and
generation
corresponding
warnings)
management.