On transfer factors of natural radionuclides and radiological health risks assessment of some fruit samples
Radiochimica Acta,
Год журнала:
2024,
Номер
112(10), С. 795 - 804
Опубликована: Июнь 6, 2024
Abstract
In
this
study,
the
activity
concentration
of
artificial
and
natural
radionuclides
such
as
137
Cs,
40
K,
226
Ra,
232
Th
was
measured
in
soil
under
roots;
leaves;
fruits
six
different
fruit
trees
namely
mulberry,
fig,
apricot,
olive,
black
white
grapes
Koya
district,
Erbil
province,
Iraq.
For
purpose,
a
high-resolution
gamma
spectroscopy
consisting
high-purity
germanium
(HPGe)
detector
used.
addition,
associated
radiological
risks
from
were
assessed
by
calculating
several
indices
radium
equivalent
(Raeq.s),
absorbed
dose
(Ds),
indoor
(
AEDEs
)
outdoor
annual
effective
doses
),
internal
external
hazard
indices,
index
excess
lifetime
cancer
risk
(ELRCs).
The
results
show
that
consuming
these
is
radiologically
safe
because
they
can
cause
an
about
61.72
μSv
y
−1
0.06
×
10
−3
Sv
.
On
other
hand,
transfer
factors
to
studied.
factor
analysis
revealed
among
studied
radionuclides,
apricot
mulberry
exhibited
highest
for
with
values
1.85
1.87,
respectively.
Язык: Английский
Potential utilization of air temperature, total electron content, and air relative humidity as possible earthquake precursors: A case study of Mexico M7.4 earthquake
Journal of Atmospheric and Solar-Terrestrial Physics,
Год журнала:
2022,
Номер
237, С. 105927 - 105927
Опубликована: Июль 13, 2022
Язык: Английский
Model prediction of radioactivity levels in the environment and food around the world’s first AP 1000 nuclear power unit
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Май 15, 2024
Objectives
Model
prediction
of
radioactivity
levels
around
nuclear
facilities
is
a
useful
tool
for
assessing
human
health
risks
and
environmental
impacts.
We
aim
to
develop
model
forecasting
in
the
environment
food
world’s
first
AP
1000
power
unit.
Methods
In
this
work,
we
report
pilot
study
using
time-series
monitoring
data
establish
Autoregressive
Integrated
Moving
Average
(ARIMA)
models
predicting
levels.
The
were
screened
by
Bayesian
Information
Criterion
(BIC),
accuracy
was
evaluated
mean
absolute
percentage
error
(MAPE).
Results
optimal
models,
ARIMA
(0,
0,
0)
×
1,
1)
4
,
(4,
used
predict
activity
concentrations
90
Sr
cumulative
ambient
dose
(CAD),
respectively.
From
quarter
(Q1)
fourth
(Q4)
2023,
predicted
values
CAD
0.067–0.77
Bq/kg,
0.055–0.133
mSv,
results
good
agreement
with
observation
values,
MAPEs
21.4
22.4%,
Q1
Q4
2024,
Bq/kg
0.067–0.129
respectively,
which
comparable
reported
elsewhere.
Conclusion
developed
showed
short-term
predictability,
can
be
dynamic
analysis
Sanmen
Nuclear
Power
Plant.
Язык: Английский
Experimental and theoretical evaluation of Cu–Al–Ni shape memory alloys shielding properties at the 511–1333 keV gamma energy range
Journal of Radioanalytical and Nuclear Chemistry,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 14, 2024
Язык: Английский
Investigation of Radon, Total Electron Content and Linear and Nonlinear Variations of Meteorological Variables Due to Earthquakes: ARIMA and Monte Carlo Modelling
Turkish Journal of Science and Technology,
Год журнала:
2023,
Номер
19(1), С. 73 - 86
Опубликована: Май 22, 2023
An
Integrated
Autoregressive
Moving
Average
(ARIMA)
-
Monte
Carlo
Simulation
(MCS)
is
proposed
to
analyze
and
model
the
anomalies
of
atmospheric
ground
gases
by
an
earthquake
along
North
Anatolian
Fault
Zone
(Türkiye).
Earthquakes,
Soil
radon
gas
Total
Electron
Content
(TEC)
showed
simultaneous
anomalies.
There
are
positive
relationships
between
these
three
parameters.
Also,
relations
Rn,
meteorology,
atmosphere
detected.
The
ARIMA
MCS
for
Rn-TEC-Earthquake
measured
data
gave
statistically
significant
results.
This
simulation
changes
in
effects
microearthquakes,
which
more
difficult
detect
than
large
earthquakes,
especially
on
ionospheric
TEC.
Язык: Английский
Investigation of Linear and Nonlinear Variations of Radon, Total Electron Content and Meteorological Variables by Earthquakes: ARIMA and Monte Carlo Modeling
Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Март 16, 2022
Abstract
An
Autoregressive
Integrated
Moving
Average
(ARIMA)-Monte
Carlo
Simulation
(MCS)
is
proposed
to
analyze
and
model
anomalies
caused
by
earthquakes
in
the
atmosphere
ground
gases
along
North
Anatolian
Fault
Zone
(NAFZ)-Turkiye.
Earthquakes,
Soil
Radon
Gas
Total
Electron
Content
(TEC)
show
simultaneously.
Positive
correlations
are
observed
among
these
three
variables.
Similarly,
positive
also
Rn-Meteorological-Atmospheric
triple
The
ARIMA
MCS
for
Rn-TEC-Earthquake
relations
of
measured
data
gave
statistically
significant
results.
This
simulation
peaks
effects
micro
earthquakes,
which
more
difficult
detect
than
large
especially
on
ionospheric
TEC.
Язык: Английский
Qualidade das águas dos rios Jaguari e Atibaia e relações entre parâmetros
Опубликована: Июнь 10, 2022
Once
the
rivers
are
important
as
water
resources
and
their
increased
pollution,
present
work
proposes
study
of
river
quality
Jaguari
Atibaia
rivers,
located
in
State
São
Paulo,
through
mathematical
computational
modeling,
using
theory
Complex
Networks
concepts
Time
Series
prediction.Considering
relevance
to
interior
Paulo
state,
well
resources,
this
research
was
based
on
samples
collected
from
both
2006
2017
with
parameters
analysis:
pH,
Dissolved
Oxygen,
Biochemical
Oxygen
Demand,
Total
Nitrogen,
Phosphorus,
Turbidity,
Escherichia
Coli,
Solids,
Temperature,
Chemical
Electrical
Conductivity,
Chlorides
Precipitation
study.Using
correlation,
it
sought
identify
most
impacting
variables
pollution
during
mentioned
period,
indexes
Environmental
Company
(CETESB)
Council
Ministers
Environment
(CCME).With
a
view
providing
information
parameter
relationships
supporting
decision-making
recovery
strategies,
used
Times
verify
future
prediction
conditions
two
autoregressive
integrated
moving
average
model
(ARIMA).According
results,
Conductivity
prominent
networks
formed
representing
strongest
nodes
and,
considering
same
domestic
environmental
supply
e
uent
discharge,
indicated
worsening
IQA
CETESB
index
bodies
(Jaguari:
-16.55%
Atibaia:
-16.55%),
reduction
CCMEWQI
for
River
(-20%)
small
increase
River(8.33%),
but
insu
cient
change
its
classi
cation,
which
remained
scenario
Poor
quality.
Язык: Английский