Water,
Journal Year:
2023,
Volume and Issue:
15(19), P. 3436 - 3436
Published: Sept. 29, 2023
Springs
provide
ideal
monitoring
points
for
groundwater
chemistry,
which
are
important
managing
resources.
The
chemistry
of
these
spring
waters
aggregate
geochemical
reactions
along
the
flow
path.
In
this
paper,
part
two
a
two-part
investigation,
104
perennial
springs
in
classic
karst
landscape
Mitchell
Plateau,
Indiana,
USA
were
sampled
at
base
flow.
Many
historically
domestic,
agricultural,
commercial,
and
recreational
use.
Multifactor
analysis
field
measurements,
principal
ions,
stable
isotopes
revealed
five
primary
clusters
emerging
from
Aquifer.
Two
represented
earth-alkaline-type
that
discriminated
by
temperature
inorganic
carbon
concentration.
other
comprised
mineralized
alkaline-earth-type
with
excess
alkalis
elevated
sulfate.
fifth
cluster
appeared
to
be
included
meteoric
sources.
Using
longitudinal
data
over
years
one
mixing
lines
used
describe
set.
pointed
sources
sulfur
deep
brines
evaporite
dissolution.
Collectively,
regional
allow
better
delineation
water
types
differentiation
between
Upper
Lower
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: May 22, 2024
Long-term,
daily,
and
gap-free
Normalized
Difference
Vegetation
Index
(NDVI)
is
of
great
significance
for
a
better
Earth
system
observation.
However,
gaps
contamination
are
quite
severe
in
current
daily
NDVI
datasets.
This
study
developed
0.05°
dataset
from
1981-2023
China
by
combining
valid
data
identification
spatiotemporal
sequence
gap-filling
techniques
based
on
the
National
Oceanic
Atmospheric
Administration
dataset.
The
generated
more
than
99.91%
area
showed
an
absolute
percent
bias
(|PB|)
smaller
1%
compared
with
original
data,
overall
R2
root
mean
square
error
(RMSE)
0.79
0.05,
respectively.
PB
RMSE
between
our
MODIS
gap-filled
(MCD19A3CMG)
during
2000
to
2023
7.54%
0.1,
three
monthly
datasets
(i.e.,
GIMMS3g,
MOD13C2,
SPOT/PROBA)
only
-5.79%,
4.82%,
2.66%,
To
best
knowledge,
this
first
long-term
far.
Case Studies in Construction Materials,
Journal Year:
2023,
Volume and Issue:
19, P. e02659 - e02659
Published: Nov. 7, 2023
This
experimental
study
encompasses
a
comprehensive
exploration
of
multiple
parameters
aiming
to
enhance
the
strength,
workability,
setting
time,
and
environmental
attributes
geopolymer
concrete
(GPC).
A
pivotal
solution
lies
in
substituting
fly
ash
with
waste
basalt
powder,
not
only
reducing
binder
costs
but
also
ameliorating
overall
ecological
footprint.
secondary
significant
factor
entails
integration
trimmed
glass
fibers.
Throughout
experimentation
process,
predominant
underwent
substitution
powder
at
proportions
25%,
50%,
75%.
The
mixtures
were
augmented
fibers
3
mm,
6
12
mm
lengths,
introduced
ratios
0.5%,
1%,
2%,
3%.
Following
this,
acquired
samples
subjected
24-hour
curing
regimen
an
85°C
oven.
Subsequently,
after
7-day
period
exposure
external
conditions
post-incubation,
these
tested
encompassing
both
compressive
flexural
strength
tests.
Samples
incorporating
ratio
50%
showcased
highest
capacities,
contrasting
reduced
capacities
when
was
elevated
Conversely,
utilizing
NaOH
molarity
M
demonstrated
superior
performance.
Impressively,
compression
exceeding
40
MPa
achieved
amalgamation
additive.
However,
workability
experienced
notable
reduction
fiber
2%
Molarity
concentrations
did
impede
slump,
or
time.
consistent
time
hours
attained,
desired
without
need
for
superplasticizer.
For
achieving
optimal
triad
while
maximizing
advantages
GPC
concrete,
recommendation
is
incorporate
distinct
combination
comprising
1-2%
(with
length),
NaOH,
into
mixture
formulation.
Atmosphere,
Journal Year:
2023,
Volume and Issue:
14(8), P. 1236 - 1236
Published: July 31, 2023
The
identification
of
atmospheric
and
ionospheric
variations
through
multiple
remote
sensing
global
navigation
satellite
systems
(GNSSs)
has
contributed
substantially
to
the
development
lithosphere-atmosphere-ionosphere
coupling
(LAIC)
phenomenon
over
earthquake
(EQ)
epicenters.
This
study
presents
an
approach
for
investigating
Petrolia
EQ
(Mw
6.2;
dated
20
December
2021)
Monte
Cristo
Range
6.5;
15
May
2020)
several
parameters
observe
precursory
signals
various
natures.
These
include
Land
Surface
Temperature
(LST),
Air
(AT),
Relative
Humidity
(RH),
Pressure
(AP),
Outgoing
Longwave
Radiations
(OLRs),
vertical
Total
Electron
Content
(TEC),
these
are
used
contribute
LAIC
in
temporal
window
30
days
before
after
main
shock.
We
observed
a
sharp
increase
LST
both
daytime
nighttime
EQ,
but
only
enhancement
within
3–7
Similarly,
negative
peak
was
RH
along
with
increment
OLR
5–7
prior
impending
EQs.
Furthermore,
also
exhibited
synchronized
variation
other
parameters,
no
such
co-located
anomalies
were
EQ.
applied
machine
learning
(ML)
methods
confirm
abrupt
as
further
aid
certain
efforts
order
forecast
EQs
future.
ML
make
prominent
different
data.