Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 28, 2023
Abstract
Open
dumping
is
the
prevailing
municipal
solid
waste
(MSW)
disposal
technique
in
India.
Unsanitary
landfill
system
results
release
of
leachate,
a
substance
that
has
potential
to
contaminate
nearby
environment,
including
groundwater.
Hence,
present
study
was
carried
out
vicinity
Saduperi
open
dumpsite,
Vellore,
Tamil
Nadu,
India,
explore
key
factors
influence
groundwater
contamination.
18
sample
wells
were
identified
near
dumpsite
and
total
216
samples
collected
between
May
2021
April
2022.
These
categorized
into
four
different
seasons
such
as
summer,
southwest
monsoon
(SWM),
northeast
(NEM),
winter.
The
contamination
assessed
using
hydrogeochemical
methods
Piper
Gibbs
diagrams.
leachate
pollution
index
(LPI)
Heavy
metal
(HPI)
used
evaluate
potential.
calculated
LPI
>
35
all
indicates
poor
environmental
condition.
It
observed
about
56%
sampling
site
affected
by
heavy
concentrations
Cd,
Cr,
Ni.
HPI
value
found
be
more
than
critical
100
10
for
seasons.
Partial
least
squares-structural
equation
modelling
(PLS-SEM)
offers
novel
approach
assessing
intricate
link
several
influencing
elements
quality,
contrast
conventional
multivariate
statistical
technique.
PLS-SEM
creates
Latent
variables
“IOT
Parameters”,
“Leachate
“Heavy
Metal”
“Groundwater
Quality”
which
quantified
yield
R
2
value.
well
ahead
along
direction
flow
values
ranging
from
24.7–86.5%
located
behind
are
prone
get
due
migration
leachate.
Hence
this
shows
various
affect
quality.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 18, 2024
Abstract
Dairy
farming
is
a
vital
sector
of
agriculture
that
plays
significant
role
in
the
global
food
supply
chain.
It
provides
essential
dairy
products
such
as
milk,
cheese,
and
yoghurt,
contributing
to
both
economic
stability
security.
However,
industry
faces
multitude
challenges,
including
environmental
concerns,
animal
health
welfare,
fluctuations.
Amidst
these
optimizing
farm
operations
crucial
ensure
sustainability
profitability.
The
objective
this
work
comprehensive
approach
address
data
quality
management
risk
assessment
within
context
farming,
with
specific
focus
on
feed
behaviour
analysis.
study
begins
by
addressing
proliferation
big
necessitates
paradigm
shifts
from
conventional
approaches
applying
machine
learning
techniques
huge
quantity
varying
velocity.
research
proposed
Apache
Spark
HDFS
designed
process
volume
data.
Proper
nutrition
prevent
ketosis.
Enhancing
across
multiple
scales
modules
was
developed
rage
structures
ResNet
YOLOv5,
allowing
for
improved
extraction
contextual
information
images
through
cross-connected
semantic
feature
backbone
networks.
Providing
balanced
diet
meets
energy
requirements
cows
important
preventing
negative
balance.
Additionally,
monitoring
intake
adjusting
needed
can
help
ketosis
cows.
This
aimed
forecast
likelihood
occurrence
use
algorithms
Cascade
feedforward
artificial
neural
network.
In
work,
applies
(BOA)
Stacking
ensemble
generate
domain-specific
configurations
based
non-invasive
prenatal
indicators
parity,
body
condition
score,
dystocia
daily
activity,
rumination
time,
season
calving,
drinking
eating
bolus,
gulps,
chews
per
minute.
simulation
experiment
implemented
using
Python
software.
findings
exhibited
algorithm
positions
out
an
imposing
accuracy
rate
95.5%,
highlighting
its
capability
precise
classifications.
These
improve
sustainability,
profitability,
welfare
cattle,
benefiting
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 6, 2023
Abstract
In
semi-arid
regions,
soil
erosion
by
water
presents
the
major
problem
that
affected
degradation.
Thus,
an
adequate
management
strategy
must
be
applied
in
order
to
restore
this
vital
environmental
resource.
Several
methods
were
used
assess
based
on
climatic,
geologic
and
geomorphologic
parameters.
work
a
modified
RUSLE
model
coupled
with
GIS
remote
sensing
technique
estimate
loss
Oueds
El
Ghram
Bou-Said
basins
(south-eastern
Tunisia).
The
results
showed
rate
study
varied
between
0
16
t/
ha/yr.
most
influencing
parameters
are
slope,
lithology,
precipitation.
high
very
areas
located
mountainous
parts
of
occupied
2.86%
total
surface
area.
This
can
as
foundation
for
new
helps
minimize
degradation
resource
region.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 28, 2023
Abstract
Open
dumping
is
the
prevailing
municipal
solid
waste
(MSW)
disposal
technique
in
India.
Unsanitary
landfill
system
results
release
of
leachate,
a
substance
that
has
potential
to
contaminate
nearby
environment,
including
groundwater.
Hence,
present
study
was
carried
out
vicinity
Saduperi
open
dumpsite,
Vellore,
Tamil
Nadu,
India,
explore
key
factors
influence
groundwater
contamination.
18
sample
wells
were
identified
near
dumpsite
and
total
216
samples
collected
between
May
2021
April
2022.
These
categorized
into
four
different
seasons
such
as
summer,
southwest
monsoon
(SWM),
northeast
(NEM),
winter.
The
contamination
assessed
using
hydrogeochemical
methods
Piper
Gibbs
diagrams.
leachate
pollution
index
(LPI)
Heavy
metal
(HPI)
used
evaluate
potential.
calculated
LPI
>
35
all
indicates
poor
environmental
condition.
It
observed
about
56%
sampling
site
affected
by
heavy
concentrations
Cd,
Cr,
Ni.
HPI
value
found
be
more
than
critical
100
10
for
seasons.
Partial
least
squares-structural
equation
modelling
(PLS-SEM)
offers
novel
approach
assessing
intricate
link
several
influencing
elements
quality,
contrast
conventional
multivariate
statistical
technique.
PLS-SEM
creates
Latent
variables
“IOT
Parameters”,
“Leachate
“Heavy
Metal”
“Groundwater
Quality”
which
quantified
yield
R
2
value.
well
ahead
along
direction
flow
values
ranging
from
24.7–86.5%
located
behind
are
prone
get
due
migration
leachate.
Hence
this
shows
various
affect
quality.
