Chemical Composition, Source Apportionment of Rainwater, and its contribution to nutrient deposition at an Urban Site of the Middle Indo-Gangetic Plain Region
Sanny Rathore,
No information about this author
Kirpa Ram,
No information about this author
Pramod Kumar
No information about this author
et al.
Atmospheric Pollution Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102518 - 102518
Published: March 1, 2025
Language: Английский
Spatial Air Quality Assessment in Peninsular Malaysia: Insights from Environmetric Analyses and Artificial Neural Networks
Mohd Suzairi,
No information about this author
Mohd Shafi',
No information about this author
Hafizan Juahir
No information about this author
et al.
International Internal Medicine Journal,
Journal Year:
2024,
Volume and Issue:
2(4), P. 01 - 15
Published: April 4, 2024
The
research
investigated
the
spatial
distribution
of
air
quality
in
Peninsular
Malaysia
to
offer
crucial
insights
for
mitigating
degradation.
Utilizing
historical
data
obtained
from
Malaysian
Department
Environment,
eleven
years'
worth
(2011-2021)
daily
readings
PM10,
O3
,
SO2
NO2
and
CO
thirty-four
monitoring
stations
were
subjected
environmetric
techniques
Artificial
Neural
Network
analysis.
HACA
successfully
classified
seven
into
High
Pollution
Cluster
(HPC),
Moderate
(MPC),
twenty
Low
(LPC).
discriminant
analysis
demonstrated
a
correct
assignment
rate
91.87%,
suggesting
that
all
five
parameters
able
discriminate
with
significance
level
p<0.0001.
Principal
Component
Analysis
(PCA)
revealed
two
Variance
Factors
(VFs)
across
clusters,
cumulative
variances
69.43%
82.32%
62.16%
(LPC)
respectively.
Furthermore,
employing
Multi-Layer
Perceptron
Feed-Forward
(MLP-FF-ANN)
model
predict
API
yielded
significant
strong
correlation,
as
indicated
by
R2
=0.7774
RMSE=9.9048.
These
findings
hold
potential
informing
adoption
effective
preventative
management
strategies
Language: Английский
None
Mohd Suzairi,
No information about this author
Mohd Shafi',
No information about this author
Hafizan Juahir
No information about this author
et al.
International Internal Medicine Journal,
Journal Year:
2024,
Volume and Issue:
2(4)
Published: April 4, 2024
The
research
investigated
the
spatial
distribution
of
air
quality
in
Peninsular
Malaysia
to
offer
crucial
insights
for
mitigating
degradation.Utilizing
historical
data
obtained
from
Malaysian
Department
Environment,
eleven
years
'
worth
(2011-2021)
daily
readings
PM
10
,
O
3
SO
2
NO
and
CO
thirty-four
monitoring
stations
were
subjected
environmetric
techniques
Artificial
Neural
Network
analysis.
HACA
successfully
classified
seven
into
High
Pollution
Cluster
(HPC),
Moderate
(MPC),
twenty
Low
(LPC).The
discriminant
analysis
demonstrated
a
correct
assignment
rate
91.87%,
suggesting
that
all
five
parameters
able
discriminate
with
significance
level
p<0.0001.Principal
Component
Analysis
(PCA)
revealed
two
Variance
Factors
(VFs)
across
clusters,
cumulative
variances
69.43%
82.32%
62.16%
(LPC)
respectively.Furthermore,
employing
Multi-Layer
Perceptron
Feed-Forward
(MLP-FF-ANN)
model
predict
API
yielded
significant
strong
correlation,
as
indicated
by
R
=0.7774
RMSE=9.9048.These
findings
hold
potential
informing
adoption
effective
preventative
management
strategies.
Language: Английский
Investigation on the Effect of Concentration of NaOH with Partial Replacement of Fine Aggregate in Polyurethane-Foamed Geopolymer Concrete
Vignesh Krishnan,
No information about this author
Dhiraj Kumar
No information about this author
International Journal of Civil Engineering,
Journal Year:
2024,
Volume and Issue:
11(12), P. 117 - 128
Published: Dec. 31, 2024
This
study
explores
the
effects
of
Polyurethane
Foam
(PUF)
as
fine
aggregate
and
different
NaOH
molarity
(M)
to
analyze
rheological
behavior,
hardened
properties
microstructural
behavior
Geopolymer
concrete
(GPC)
optimize
replacement
molarity.
For
this
purpose,
In
PUF-GPC
mix,
GPC
varied
from
10
14
at
intervals
2
with
1.5
%
superplasticizers
(SP)
improve
workability
GPC.
The
optimum
strength
were
attained
15%
PUF
12
slump
values,
compressive,
split
tensile,
flexural
results.
results
indicate
that
optimal
M,
replacement,
achieves
highest
compressive
(40.4
MPa),
tensile
(5.15
(5.98
MPa)
28
days.
These
findings
highlight
potential
PUF-based
optimized
a
sustainable
alternative
in
construction
applications.
concluded
M
concentration
binder
contents
(fly
ash-50%
GGBS-50%)
SP
(2%)
based
provided
better
workability,
behaviour.
Language: Английский