International Journal of Science and Technology Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 80
An Assessment of Absorbed Dose and Radiation Hazard Index from Natural
Radioactivity in Soils from Akwa Ibom State, Nigeria
1Bede, M. C, 1Essiett, A. A and 2Inam, E. 1Department of Physics, University of Uyo, P.M.B. 1017, Uyo, Nigeria.
2Department of Chemistry, University of Uyo, P.M.B. 1017, Uyo Uyo, Nigeria.
ABSTRACT
An assessment of Absorbed Dose Rate and Radiation hazard Index from Natural Radioactivity in Soils from Eastern Obolo, Eket,
Ibeno, Ikot Abasi and Uyo local government area of Akwa Ibom state was carried out. The levels of naturally occurring radioactivity
in the soil samples were evaluated using NaI (Tl) Model 802 Gamma Ray Spectrometer: The mean concentration of 238U were
respectively 11.93±1.63, 8.91±1.39, 21.78±2.32, 12.42±1.63 and 12.13±1.98 Bq.kg-1. The mean concentration of 232Th were
respectively 14.75±0.70, 18.96±0.62, 21.47±0.76, 12.76±0.75 and 19.09±0.71 Bq.kg-1.The mean concentration of 40K were
respectively 136.86±3.66, 56.82±3.01, 62.34±3.33, 76.16±3.24 and 67.37±3.29 Bq.kg-1. The Absorbed Dose Rate, Eternal Hazard
Index and Internal Hazard Index were calculated using the activity concentrations of 238U, 232Th and 40K and the mean values
obtained were respectively 20.45, 18.26, 25.99, 16.86, 20.27 nGy.h-1; 0.17, 0.10, 0.15, 0.21, 0.10 Bq.kg-1 and 0.26, 0.13, 0.21, 0.13,
0.15 Bq.kg-1. The obtained values were less than the recommended safety limits of 51 nGy.h-1 and 1 Bq.kg-1.
Keywords: Dose, Radiation, Hazard Index.
1. INTRODUCTION
The stellar material, from which the earth was formed, about
4.5 billion years ago, contained many unstable nuclides [1].
Some of the original primordial nuclides, whose half-lives are
about as long as the earth’s age, are still present [2]. The
exposure of human beings to ionizing radiation from natural
sources is a continuing and inescapable feature of life on
earth; for most individuals, this exposure exceeds that from
all man-made sources combined [3]. Over 60 radionuclides
(radioactive element) can be found in nature, and they can be
placed in three general categories i.e. Primordial – formed
before the creation of the earth, Cosmogenic- formed as a
result of cosmic ray interactions and Human produced-
enhanced or formed due to human actions (minor amounts
compared to natural) [4]. The natural terrestrial gamma
radiation dose rate is an important contribution to the average
dose rate received by the world’s population [5, 6].
Estimation of the radiation dose distribution is important in
assessing the health risk to a population and serve as
reference in documenting changes to environmental
radioactivity in soil due to anthropogenic activities [7].
Human beings are exposed outdoors to the natural terrestrial
radiation that originates predominantly from the upper 30cm
of the soil [8]. Radionuclides with half-lives comparable with
the age of the earth or their corresponding decay products
existing in terrestrial material such as 232Th, 238U and 40K are
of great interest. More specifically, natural environmental
radioactivity and the associated external exposure due to
gamma radiation depend primarily on the geological and
geographical conditions, and appear at different levels in the
soils of each region in the world [9, 10]. Naturally occurring
radioactive material (NORM) found in the earth’s crust,
largely in the form of 226Ra and their associated
radionuclides, is brought to the surface during gas and oil
production processes. The NORM represents a potential
internal radiation exposure hazard to both workers and
members of the public through the inhalation and ingestion of
radionuclides [11]. The major potential hazard from the
natural radiation is from external exposure either by direct
exposure to the soil or as they enter in many building material
[12]. The specific levels of terrestrial environmental radiation
are related to the geographical composition of each
lithologically separated area, and to the content of the rock
from which the soils originated in each area in the radioactive
elements of Thorium (Th), Uranium(U) and Potassium (K). It
is well known, for instance, that igneous rocks granite
composition are strongly enriched in Th and U as compared
to rocks of basaltic or ultramafic composition [9, 13, 14].
There are exceptions, however, as some shale and phosphate
rocks have relatively high content of those radionuclide [9,
10]. Based on these facts, one can certify that the knowledge
of natural occurring radionuclide materials (NORMs), such as 238U, 232Th and 40K, is an important pre-requisite for
evaluation of the rate of exposure absorbed dose by the
population in order to estimate their radiological impacts and
to establish a data base which will be used as reference by a
radiation observer in the studied area [15].
The objectives of this study therefore are to determine the
radioactivity concentrations of 40K, 238U and 232Th in top soil
samples collected from the study areas; to estimate the
radiation absorbed dose, annual effective dose, radium
equivalent activity and radiation hazard index from the
radioactivity measured in the study area. The study ensures
radiological hazard control, since predominant part of the
environmental radiation is found in the upper soil layer.
2. MATERIALS AND METHODS
2.1. Sampling and Sample Preparation
The soil samples for this research were collected within
Akwa Ibom State, an oil producing state in the Niger Delta
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 81
region of Nigeria. The Niger Delta is situated in the Gulf of
Guinea: (3 - 6 ) N, (5 - 8 ) E. It is the largest delta in
Africa, and is very rich in hydrocarbons, covering an area of
about 7500km2 [16]. The first set of samples (6 in number)
were collected from Iko Town, Eastern Obolo (04°30′9′′ −04°31′3′′) N, (007°45′3′′ − 007°45′3′′) E within an
abandoned oil operational area and around estuary where
dredging activities were carried out. The second set of
samples (5 in number) were collected from Ikot Abasi
(04°32′6′′ − 04°33′3′′) N, (007°32′6′′ − 007°34′02.2′′) E
around Uta Ewa beach and Aluminum Smelting Plant,
Ibekwe. The third set of sample (1 in number) was collected
from Eket (04°39′00.8′′𝑁, 007°55′6′′𝐸) around an area of
deep gully erosion, Ikot Ebok.
The fourth set of samples (5 in number) were collected from
Ukpenekang in Ibeno (04°32′23′′ − 04°34′9′′) N,
(008°009′8′′ − 007°59′8′′) E where some oil spill traces
were observed. The last set of soil samples (3 in number)
were collected from the permanent site of University of Uyo,
Use Uffot, Uyo (05°02′3′′ − 05°02′0′′) N, (007°58′29.8′′ −007°58′8′′) E around Advanced Space Technology
Applications Laboratory (ASTAL). Soil sampling and
measurements started 8am – 3pm each day for 5 days in the
month of July, 2013 under sunny weather condition. The
study location is shown on Figure 1.
Figure 1: Study locations on the map of Akwa Ibom State
The samples were collected and prepared according to the
method reported by Agbalagba and Onoja [17]. The top
surfaces of the soils at all the soil sampling sites were scraped
off to remove stones, vegetation and organic debris as
recommended by Senthilkumar [18]. Thereafter, about 5kg
weight of field samples of the soil at each of the sites were
collected at a depth of 5-15 cm, thoroughly mixed and loaded
in labeled black polyethylene bags. Each of the twenty soil
samples collected was a composite of five subsamples. At all
the sample locations, Global Positioning System (GPS) was
used in locating the coordinates of each sample station. The
soil samples collected from the field were quartered and
exposed to ambient air. The soil samples were then oven
dried to a constant weight at 60 − 80°C for about 24 hours in
a monitored KETONG 101 oven. The dried samples were
ground with mortar and pestle and then passed through a 2
mm mesh sieve and weighed. Five hundred grammes (500 g)
of each soil sample was weighed and wrapped in labeled
black polyethylene bags for easy transportation to the
laboratory for analysis.
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 82
2.2.Measurement of Activity Concentrations
of Radionuclides in Top Soils
The gamma spectrometric measurement was carried out using
Gamma ray spectrometric system coupled with a NaI(Tl)
model 802 detector at the National Institute of Radiation
Protection and Research (NIRPR) University of Ibadan
Campus, Ibadan. The detector is mounted vertically coupled
with 8K PC based Multi- Channel Analyzer (MCA) and the
detector is enclosed in a massive lead shield to reduce
background from the system. The detector was calibrated
with point sources 60Co, 137Cs, 241Am and 22Na for energy
calibration and the efficiency calibration of the detector was
done with volume source, IAEA-385. The detector which was
well calibrated, used Genie 2000 (template which computes
energy, percentage error, count, uncertainty, Activity
concentration, uncertainty in activity, Gamma probability,
uncertainty in Gamma probability, Efficiency and uncertainty
in Efficiency) as its operating software in the analyses of
various energies of 238U, 232Th and 40K. Each sample was
sealed in an already washed Marinelli beaker for twenty eight
days in order for it to attain secular equilibrium (to allow
buildup of radionuclide in the beaker) before placing it in the
shielded detector. The counting time for the samples was
36,000 seconds. Each sample was counted for 36,000 seconds
to reduce the statistical uncertainty. An already washed empty
Marinelli beaker was also placed in the detector for the same
counting time (36,000 seconds) under identical geometry to
determine the background radiation level of the laboratory
environment. It was later subtracted from the measured γ−ray
spectra of each sample. At the end of the measurement, the
various regions of interest which were deducted from the
background reading were computed with a specialized
template. This template (which covers energy, percentage
error, count, uncertainty, Activity concentration, uncertainty
in activity, Gamma probability, uncertainty in Gamma
probability, Efficiency and uncertainty in Efficiency) was
used to determine the radionuclide concentration in each
sample.The activity concentration A , in unit of Bq.kg-1, for a
radionuclide with a detected photopeak at energy E, can be
obtained from Equation given by Awudu et al. [19] and
Faanu et al. [20]:
Mt
NA
where N is the net peak-area of the radionuclide, is the
detector energy-dependent efficiency, t is the counting live
time in seconds, is the gamma-ray yield per disintegration
of the nuclide, and M is the mass of the sample measured in
kilograms.
3. RESULTS AND DISCUSSION
3.1.Radionuclide Activity Concentrations
Table 1 shows the radionuclide activity concentrations for 238U, 232Th and 40K in Eastern Obolo, Ikot Abasi, Ibeno, Eket
and Uyo Local Government Area of Akwa Ibom State,
Nigeria. Twenty (20) samples were analyzed and the mean
activity concentrations of 238U, 232Th and 40K obtained are
shown.
The Figure 2 is a graphical representation of the mean activity
concentrations for 238U, 232Th and 40K in top soil samples. It
shows that Eastern Obolo L.G.A. has the highest activity
concentration of 40K while Eket has the lowest. It also shows
the accumulation effect of the activity concentrations of 238U
and 232Th in Ibeno. This could be due to industrial activities
in the area.
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 83
Table 1: Radionuclide (238U, 232Th and 40K) activity concentrations in top soils.
Sample
code
Location
North East
Activity Concentration (Bq.kg-1)
40K 238U 232Th
Eastern Obolo
EO1 04030`40.9`` 007⁰45`11.3`` 147.17±3.69 14.61±1.92 19.99±0.77
EO2 04⁰30`41.9`` 007⁰45`11.4`` 136.80±3.42 12.47±1.75 14.65±0.60
EO3 04⁰30`43.9`` 007⁰45`11.7`` 122.01±3.23 9.50±1.39 12.87±0.67
EO4 04⁰30`44.8`` 007⁰45`07.8`` 137.30±3.71 10.80±1.45 12.92±0.74
EO5 04⁰30`48.7`` 007⁰45`02.6`` 214.12±4.34 7.84±1.32 14.71±0.66
EO6 04⁰31`19.3`` 007⁰45`17.3`` 63.75±3.55 16.36±1.78 13.36±0.78
Range 63.75 - 214.12 7.84 – 16.36 12.87 – 19.99
Mean 136.86±3.66 11.93±1.60 14.75±0.70
Eket
EK1 04⁰39`00.8`` 007⁰55`07.6``
56.82±3.012 8.91±1.39 18.96±0.62
Ibeno
IB1 04⁰32`23`` 008⁰009`8.8``
62.69±4.00 38.50±2.38 30.59±0.82
IB2 04⁰34`12.2`` 007⁰59`16.2``
65.33±2.95 13.74±1.98 16.43±0.70
IB3 04⁰34`14.0`` 007⁰59`16.6``
75.15±2.64 11.42±1.75 12.19±0.58
IB3 04⁰34.306` 007⁰59.218`
60.70±3.75 28.12±2.94 29.64±0.94
IB5 04⁰34`21.9`` 007⁰59`12.8``
47.81±3.29 17.10±2.57 18.49±0.74
Range 47.81 – 75.15 11.42 – 38.50 12.19 – 30.59
Mean 62.34±3.33 21.78±2.32 21.47±0.76
Ikot Abasi
IK1 04⁰32`32.6`` 007⁰32`51.6`` 101.91±3.24 13.90±1.98 14.96±0.65
IK2 04⁰32`55.7`` 007⁰32`55.3`` 80.31±3.49 13.65±1.76 17.15±0.70
IK3 04⁰32.843` 007⁰32.825` 34.65±2.56 5.12±0.38 4.31±1.15
IK4 04⁰33.692` 007⁰32.568` 77.86±2.93 11.89±1.89 14.97±0.62
IK5 04⁰33`58.3`` 007⁰34`02.2`` 86.06±3.96 17.56±2.12 12.42±0.64
Range 34.65 – 101.91 5.12 – 0.38 4.31 – 17.15
Mean 76.16±3.24 12.42±1.63 12.76±0.75
Uyo
UY1 05⁰02`20.0`` 007⁰58`37.5`` 65.71±3.36 11.24±1.65 17.06±0.72
UY1B 05⁰02`31.0`` 007⁰58`34.8`` 65.24±3.14 10.80±1.96 19.98±o.70
UY3 05⁰02`15.3`` 007⁰58`29.8`` 71.17±3.37 14.36±2.32 20.22±0.72
Range 65.24 – 71.17 10.80 – 14.36 17.06 – 20.22
Mean 67.37±3.29 12.13±1.98 19.09±0.71
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 84
Figure 2: Mean activity concentrations for 238U, 232Th and 40K in top soil samples.
CORRELATION STUDIES
In order to find the extent of the existence of these radioactive
nuclides together at a particular place, correlation studies
were performed between the combination of radionuclides
(238U, 232Th), (238U, 40K) and (232Th, 40K) using Microsoft
Office Excel 2007. The Excel was also used to compute the
coefficient of variability, R2 which is a measure of the
proportion of variability in a data set that is accounted for by
a statistical model. Figure 3 A. clearly shows a strong
correlation between the activities of (238U, 232Th) with N = 20
(number of samples in the study areas) and R2 = 0.6076. The
strong correlation between the activities indicates that the
individual result for any one of the radionuclide concentration
in the pair is a good predictor of the concentration of the other
and that the two elements accompanied each other, but in
Figure 3B and C., there is weak correlation between (238U, 40K) and (232Th, 40K) with N = 20 and R2 = 0.0181 and -0.163
respectively.
A.
0
20
40
60
80
100
120
140
160
Eastern Obolo Eket Ibeno Ikot Abasi Uyo
Me
an A
ctiv
ity
Co
nce
ntr
atio
ns
(Bq
kg-1
)
Local Government Areas
K-40
U-238
Th-232
ATh = 0.5047AU + 10R² = 0.6076
0
5
10
15
20
25
30
35
0 10 20 30 40 50
ATh
(Bq
kg-1
)
AU (Bqkg-1)
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 85
B.
C.
Figure 3 (A, B, C): Correlation between Activity Concentrations (238U, 232Th), (238U, 40K)
and (232Th,40K) for soil samples from the study areas. Figure 4, shows a strong correlation between the annual
effective dose rate (AEDR Outdoor) and annual effective
dose rate (AEDR Indoor) with N= 20 and R2 = 0.876. This
suggests that in areas of high annual effective dose rate
outdoors, there is also a corresponding high annual effective
dose rate indoors.
Figure 5, shows a weak correlation between external and
internal hazard index with N = 20 and R2 = 0.0017. It
appears in most figures that the number of points is less than
twenty because points having the same activity
concentration/annual effective dose rate/hazard index in
more than one sample (with little difference) coincidence
with each other.
AK = -1.2268AU + 109.64R² = 0.0181
0
50
100
150
200
250
0 5 10 15 20 25 30 35
AK
(Bq
kg-1
)
AU (Bqkg-1)
AK = 1.9579ATh + 50R² = -0.163
0
50
100
150
200
250
0 5 10 15 20 25 30 35
AK
(Bq
kg-1
)
ATh (Bqkg-1)
AEDR Outdoor = 0.1934AEDR Indoor + 0.003R² = 0.876
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
0 0.05 0.1 0.15 0.2
AED
R O
utd
oo
r (m
Sv)
AEDR Indoor (mSv)
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 86
Figure 4: Correlation between annual effective dose rate (outdoor) and
annual effective dose rate (indoor).
Figure 5: Correlation between external hazard index (Hex) and
internal hazard index (Hin).
CONTOUR MAP Global Positioning System receiver Garmin (GPS 12 XL) was
used to record the latitude and longitude of each sample
point. The coordinates of each were converted to degree
decimal unit using CASIO (fx – 991MS) calculator. The
World Geodetic System of 1984 was used for definition of
the coordinate system and it was used to generate the contour
lines. The contour mas of the activity distribution of 238U, 232Th and 40K in the study area are shown in Figures 6 – 8
while the contour map of Radium Equivalent is shown in
Figure 9. In Figures 6 – 8, the numbers on the contour lines
represent the Activity Concentrations of the radionuclide
involved and the intervening spaces are marked with colours
to further highlight the concentrations of these radionuclides.
The higher the number on the contour line, the higher the
concentration of the radionuclide involved. Figure 9 shows
the contour map of Radium Equivalent. From the contour
maps, it is observed that the closer the contour lines the
higher the Activity Concentration/Radium Equivalent. This
could be used in the prediction of Activity
Concentration/Radium Equivalent in the areas outside the
study areas.
Figure 6: Contour diagram for the activity concentration of 238U (Bq.kg-1)
for the collected samples.
Hex = 0.0274Hin + 0.161R² = 0.0017
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
0 0.2 0.4 0.6 0.8 1
Hex
(Bq
kg-1
)
Hin (Bqkg-1)
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 87
Figure 7: Contour diagram for the activity concentration of 232Th (Bq.kg-1)
for the collected samples.
Figure 8: Contour diagram for the activity concentration of 40K (Bq.kg-1)
for the collected samples.
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 88
Figure 9: Contour diagram for radium equivalent (Bq.kg-1) for the collected samples.
RISK ASSESSMENT OF 40K, 238U AND 232TH
IN TOP SOIL SAMPLES.
Table 2 shows the absorbed dose rate (D), hazard index
(external, Hex and internal, Hin) (Bq.kg-1), annual effective
dose rate (AEDR) (indoor and outdoor) and radioactivity
level index (Iγ) with their mean values. These mean values are
all below the recommended safety limits. Table 3 lists the
ratio of 238U/232Th activity concentration, the absorbed dose
rate in air surrounded by infinite thickness of soils (D4π), and
radium equivalent, Raeq for top soil samples. The ratio 238U/232Th concentration is less than one in some samples
indicating that uranium is less than thorium, while in some
samples the ratio is greater than one showing that the uranium
concentration is greater than that of thorium. While defining
Raeq activity, it has been assumed that 370 Bq.kg-1, 238U or
259 Bq.kg-1 232Th or 4810 Bq.kg-1 40K produce the same
gamma rate to compare the specific activity of materials
containing different amount of 238U, 232Th and 40K. The mean
radium equivalent, Raeq are 43.51, 40.40, 57.18, 36.54 and
44.61 Bq.kg-1 for Eastern Obolo, Eket, Ibeno, Ikot Abasi and
Uyo L.G.A. respectively. The Ibeno L.G.A. shows an
enrichment of activity due to gas flaring and occasional oil
spillage in the area. Therefore, the radionuclides tend to
accumulate in Ibeno giving rise to highest radium equivalent
activity. Figure 10 shows the radium equivalent activity in
Bq.kg-1 and absorbed dose rate (nGy.h-1) for various L.G.A.
in the study area. Figure 11 shows the surface dose rate, the
annual effective dose, external hazard index and internal
hazard index. The activity concentrations of 238U, 232Th, 40K
and their associated health risk vary in different L.G.A. of the
study area; this is due to industrial activities in these areas.
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 89
Table 2: The absorbed dose Rate (D), hazard index
(external, Hex and internal, Hin) (Bq.kg-1), annual effective dose
rate (AEDR) (indoor and outdoor) and radioactivity level index (Iγ),
for various L.G.A. in the study area.
Sample
Code
D
(nGy.h-1)
Hazard Index
Hex Hin
AED (mSv.y-1)
Indoor Outdoor
Iγ
(Bq.kg-1)
EO1 25.30 0.14 0.89 0.12 0.03 1.11
EO2 20.56 0.42 0.15 0.10 0.02 1.02
EO3 17.47 0.10 0.12 0.08 0.02 0.89
EO4 18.74 0.10 0.13 0.09 0.02 1.00
EO5 21.69 0.12 0.14 0.10 0.02 1.47
EO6 18.92 0.11 0.11 0.09 0.02 0.29
Range 18.74-25.30 0.10-0.42 0.11-
0.89
0.09-0.12 0.02-0.03 0.29-1.47
mean 20.45 0.17 0.26 0.10 0.02 0.96
EK1 18.26 0.10 0.13 0.08 0.02 0.47
IB1 39.40 0.23 0.33 0.19 0.04 0.81
IB2 19.28 0.11 0.15 0.09 0.02 0.57
IB3 15.98 0.09 0.12 0.07 0.01 0.61
IB4 33.93 0.20 0.27 0.16 0.04 0.69
IB5 21.38 0.12 0.17 0.10 0.02 0.49
Range 15.98-39.40 0.09-0.23 0.12-
0.33
0.07-0.19 0.01-0.04 0.49-0.81
Mean 25.99 0.15 0.21 0.12 0.03 0.63
IK1 19.96 0.44 0.15 0.09 0.02 0.80
IK2 20.42 0.11 0.15 0.10 0.02 0.67
IK3 6.49 0.03 0.05 0.03 0.01 0.28
IK4 18.04 0.39 0.13 0.08 0.02 0.63
IK5 19.41 0.06 0.16 0.09 0.02 0.74
Range 6.49-20.42 0.03-0.44 0.05-
0.17
0.03-0.10 0.01-0.02 0.28-0.80
Mean 16.86 0.21 0.13 0.08 0.02 0.62
UY1 18.53 0.06 0.14 0.09 0.02 0.55
UY1B 20.12 0.11 0.14 0.09 0.02 0.54
UY3 22.16 0.13 0.17 0.10 0.02 0.62
Range 18.53-22.16 0.06-0.13 0.14-
0.17
0.09-0.10 0.02-0.02 0.54-0.62
Mean 20.27 0.10 0.15 0.09 0.02 0.57
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 90
Table 3: The ratio 238U/232Th, total absorbed dose rate (D4π) and
radium equivalent activity in the study area.
Sample code 238U/232Th D4π(10-8Gy.h-1) Raeq(Bq.kg-1)
Eastern Obolo
EO1 0.73 17.36 54.23
EO2 0.85 15.51 43.95
EO3 0.74 13.64 37.30
EO4 0.84 15.16 39.85
EO5 0.53 21.10 45.36
EO6 1.22 9.18 40.37
Range 0.53 – 1.22 9.18 – 21.10 37.30 – 54.23
Mean 0.82 15.33 43.51
Eket
EK1 0.47 8.51 40.40
Ibeno
IB1 1.26 13.62 87.07
IB2 0.84 9.44 41.81
IB3 0.94 9.56 34.64
IB4 0.95 12.24 75.18
IB5 0.93 8.49 47.22
Range 0.84 – 1.26 8.49 – 13.62 34.64 – 87.07
Mean 0.98 10.67 57.18
Ikot Abasi
IK1 0.93 12.56 43.14
IK2 0.80 10.88 44.36
IK3 1.19 4.21 13.95
IK4 0.79 10.19 39.29
IK5 1.41 11.19 41.95
Range 0.79 – 1.49 4.21 – 12.56 13.95 - 44.36
Mean 1.02 9.81 36.54
Uyo
UY1 0.66 9.30 40.70
UY1B 0.54 9.59 44.39
UY3 0.71 10.53 48.75
Range 0.54 – 0.71 9.30 – 10.53 40.70 – 48.75
Mean 0.64 9.81 44.61
Figure 10: Radium equivalent activity (Bq.kg-1) and absorbed dose rate ( nGy.h-1) for various L.G.A. in the study area.
0
10
20
30
40
50
60
70
EasternObolo
Eket Ibeno Ikot Abasi Uyo
Ave
rage
Val
ue
s [R
aeq
(B
qkg
-1);
D (
nG
yh-1
)]
Local Government Areas
Radium Equivalent
Absorbed Dose Rate
International Journal of Science and Technology (IJST) – Volume 4 No. 3, March, 2015
IJST © 2015– IJST Publications UK. All rights reserved. 91
Figure 11: Surface dose rate (mR.h-1), annual effective dose, external
hazard Index and internal hazard index for various L.G.A. in the
study area.
4. CONCLUSION The radioactivity concentrations of 40K, 238U and 232Th in top
soil samples collected from the study areas have been
determined. From this study, the obtained values of gamma
dose rate, radium equivalent activity, radiation hazard index
and annual effective dose equivalent were found to be below
the recommended safety limits. These are indications that the
study area is safe for human activity.
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